From 77c8d9b038fb7cc803824cc065a6e3b85c6b47b3 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
 <41898282+github-actions[bot]@users.noreply.github.com>
Date: Tue, 3 Nov 2026 12:45:24 +0000
Subject: [PATCH] ci: refresh .test_durations (ops test set changed: +885/-9)

---
 .github/.test_durations | 6530 ++++++++++++++++++++++-----------------
 1 file changed, 3703 insertions(+), 2827 deletions(-)

diff --git a/.github/.test_durations b/.github/.test_durations
index f9af879e..f995bd6d 100644
--- a/.github/.test_durations
+++ b/.github/.test_durations
@@ -1,2829 +1,3705 @@
 {
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(16, 4)-0-torch.float16-none]": 0.6053893400000163,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(16, 4)-0-torch.float16-tanh]": 0.5217558470000085,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(16, 4)-0-torch.float32-none]": 0.5697794060000092,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(16, 4)-0-torch.float32-tanh]": 0.4884153109999829,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(16, 4)-1-torch.float16-none]": 0.5851004509999882,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(16, 4)-1-torch.float16-tanh]": 0.5272629639999877,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(16, 4)-1-torch.float32-none]": 0.4900146950000135,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(16, 4)-1-torch.float32-tanh]": 0.5190763009999841,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(256, 64, 16, 4)-0-torch.float16-none]": 0.5113377390000267,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(256, 64, 16, 4)-0-torch.float16-tanh]": 0.5095946259999664,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(256, 64, 16, 4)-0-torch.float32-none]": 0.48080111199999465,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(256, 64, 16, 4)-0-torch.float32-tanh]": 0.5045792950000134,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(256, 64, 16, 4)-1-torch.float16-none]": 0.5875845080000204,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(256, 64, 16, 4)-1-torch.float16-tanh]": 0.5364971090000097,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(256, 64, 16, 4)-1-torch.float32-none]": 0.5551290349999931,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(256, 64, 16, 4)-1-torch.float32-tanh]": 0.5276502820000246,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(256, 64, 16, 4)-2-torch.float16-none]": 0.13090156800001296,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(256, 64, 16, 4)-2-torch.float16-tanh]": 0.1513705680000328,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(256, 64, 16, 4)-2-torch.float32-none]": 0.19814306200001397,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(256, 64, 16, 4)-2-torch.float32-tanh]": 0.15289546799996856,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(256, 64, 16, 4)-3-torch.float16-none]": 0.1369768449999924,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(256, 64, 16, 4)-3-torch.float16-tanh]": 0.15586383999999498,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(256, 64, 16, 4)-3-torch.float32-none]": 0.15484163899998293,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(256, 64, 16, 4)-3-torch.float32-tanh]": 0.16293802900000287,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(4,)-0-torch.float16-none]": 0.5291022429999828,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(4,)-0-torch.float16-tanh]": 0.48907463100002246,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(4,)-0-torch.float32-none]": 1.3312764530000436,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(4,)-0-torch.float32-tanh]": 0.48822427999996876,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(64, 16, 4)-0-torch.float16-none]": 0.49782704099999364,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(64, 16, 4)-0-torch.float16-tanh]": 0.5265960219999783,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(64, 16, 4)-0-torch.float32-none]": 0.5762739099999692,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(64, 16, 4)-0-torch.float32-tanh]": 0.5633892890000141,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(64, 16, 4)-1-torch.float16-none]": 0.5730634530000032,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(64, 16, 4)-1-torch.float16-tanh]": 0.5195544579999876,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(64, 16, 4)-1-torch.float32-none]": 0.585620667000029,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(64, 16, 4)-1-torch.float32-tanh]": 0.528796916000033,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(64, 16, 4)-2-torch.float16-none]": 0.1481872089999854,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(64, 16, 4)-2-torch.float16-tanh]": 0.14009204600000658,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(64, 16, 4)-2-torch.float32-none]": 0.17472349199999826,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(64, 16, 4)-2-torch.float32-tanh]": 0.13782638099999645,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(16, 4)-0-torch.float16-none]": 1.3695475310000234,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(16, 4)-0-torch.float16-tanh]": 1.2718758800000103,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(16, 4)-0-torch.float32-none]": 1.9200039150000237,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(16, 4)-0-torch.float32-tanh]": 1.3164392250000105,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(16, 4)-1-torch.float16-none]": 0.15638716599997338,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(16, 4)-1-torch.float16-tanh]": 0.16440650800004164,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(16, 4)-1-torch.float32-none]": 0.182130098999977,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(16, 4)-1-torch.float32-tanh]": 0.15466278599998873,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(256, 64, 16, 4)-0-torch.float16-none]": 0.15841635100002804,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(256, 64, 16, 4)-0-torch.float16-tanh]": 0.13055932299999995,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(256, 64, 16, 4)-0-torch.float32-none]": 0.13191395100000136,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(256, 64, 16, 4)-0-torch.float32-tanh]": 0.1451212739999619,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(256, 64, 16, 4)-1-torch.float16-none]": 0.15345455700000343,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(256, 64, 16, 4)-1-torch.float16-tanh]": 0.11921909499997696,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(256, 64, 16, 4)-1-torch.float32-none]": 0.1529555569999843,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(256, 64, 16, 4)-1-torch.float32-tanh]": 0.14497002000001658,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(256, 64, 16, 4)-2-torch.float16-none]": 0.1568328200000053,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(256, 64, 16, 4)-2-torch.float16-tanh]": 0.1298434529999497,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(256, 64, 16, 4)-2-torch.float32-none]": 0.14802270000001272,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(256, 64, 16, 4)-2-torch.float32-tanh]": 0.15729278099999533,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(256, 64, 16, 4)-3-torch.float16-none]": 0.1344588200000203,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(256, 64, 16, 4)-3-torch.float16-tanh]": 0.15868141800001467,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(256, 64, 16, 4)-3-torch.float32-none]": 0.1437860050000097,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(256, 64, 16, 4)-3-torch.float32-tanh]": 0.16478507599998693,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(4,)-0-torch.float16-none]": 0.15141545799997402,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(4,)-0-torch.float16-tanh]": 0.12630204900000308,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(4,)-0-torch.float32-none]": 0.15569636399999354,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(4,)-0-torch.float32-tanh]": 0.13952790599998366,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(64, 16, 4)-0-torch.float16-none]": 0.15886676400000965,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(64, 16, 4)-0-torch.float16-tanh]": 0.143185729999999,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(64, 16, 4)-0-torch.float32-none]": 0.14544333099999562,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(64, 16, 4)-0-torch.float32-tanh]": 0.1375360119999982,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(64, 16, 4)-1-torch.float16-none]": 0.14287017999998852,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(64, 16, 4)-1-torch.float16-tanh]": 0.15629679600002078,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(64, 16, 4)-1-torch.float32-none]": 0.15022380300001714,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(64, 16, 4)-1-torch.float32-tanh]": 0.16042277100004299,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(64, 16, 4)-2-torch.float16-none]": 0.1523508929999764,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(64, 16, 4)-2-torch.float16-tanh]": 0.1515706999999793,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(64, 16, 4)-2-torch.float32-none]": 0.14884779300001583,
-"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(64, 16, 4)-2-torch.float32-tanh]": 0.15090108699996563,
-"tests/ops/activation/test_gelu.py::Test_GeLU::test_op[cutile-256-2048-none-torch.float16]": 0.29477589100000046,
-"tests/ops/activation/test_gelu.py::Test_GeLU::test_op[cutile-256-2048-none-torch.float32]": 0.35649147500001277,
-"tests/ops/activation/test_gelu.py::Test_GeLU::test_op[cutile-256-2048-tanh-torch.float16]": 0.27562762100001237,
-"tests/ops/activation/test_gelu.py::Test_GeLU::test_op[cutile-256-2048-tanh-torch.float32]": 0.30212622400003397,
-"tests/ops/activation/test_gelu.py::Test_GeLU::test_op[tilecpp-256-2048-none-torch.float16]": 0.7208230049999997,
-"tests/ops/activation/test_gelu.py::Test_GeLU::test_op[tilecpp-256-2048-none-torch.float32]": 0.6941223689999845,
-"tests/ops/activation/test_gelu.py::Test_GeLU::test_op[tilecpp-256-2048-tanh-torch.float16]": 0.7051868750000096,
-"tests/ops/activation/test_gelu.py::Test_GeLU::test_op[tilecpp-256-2048-tanh-torch.float32]": 0.6978630599999747,
-"tests/ops/activation/test_relu.py::Test_ReLU::test_op[cutile-256-2048-torch.float32]": 0.41355173499999864,
-"tests/ops/activation/test_relu.py::Test_ReLU::test_op[cutile-256-256-torch.float16]": 0.41637999099998524,
-"tests/ops/activation/test_relu.py::Test_ReLU::test_op[cutile-256-32768-torch.float16]": 0.49259253699997885,
-"tests/ops/activation/test_relu.py::Test_ReLU::test_op[cutile-256-64-torch.float16]": 1.1168847789999745,
-"tests/ops/activation/test_relu.py::Test_ReLU::test_op[tilecpp-256-2048-torch.float32]": 0.7487660670000196,
-"tests/ops/activation/test_relu.py::Test_ReLU::test_op[tilecpp-256-256-torch.float16]": 0.3167616729999736,
-"tests/ops/activation/test_relu.py::Test_ReLU::test_op[tilecpp-256-32768-torch.float16]": 0.337343001000022,
-"tests/ops/activation/test_relu.py::Test_ReLU::test_op[tilecpp-256-64-torch.float16]": 0.8585800490000111,
-"tests/ops/experimental/test_attention_backward.py::Test_FMHA_Backward::test_op_backward_corner_cases[cutile-1-1-64-64-True-torch.float16]": 14.23651766100005,
-"tests/ops/experimental/test_attention_backward.py::Test_FMHA_Backward::test_op_backward_corner_cases[cutile-1-32-128-64-True-torch.float16]": 14.291485359000006,
-"tests/ops/experimental/test_attention_backward.py::Test_FMHA_Backward::test_op_backward_irregular_shapes[cutile-1-4-127-64-True-torch.float16]": 14.430805042000003,
-"tests/ops/experimental/test_attention_backward.py::Test_FMHA_Backward::test_op_backward_irregular_shapes[cutile-2-8-2047-128-True-torch.bfloat16]": 11.848035576000001,
-"tests/ops/experimental/test_attention_backward.py::Test_FMHA_Backward::test_op_backward_regular_shapes[cutile-2-8-256-64-True-torch.float16]": 14.080979548000045,
-"tests/ops/experimental/test_attention_backward.py::Test_FMHA_Backward::test_op_backward_regular_shapes[cutile-2-8-512-128-False-torch.bfloat16]": 10.687304627999964,
-"tests/ops/experimental/test_attention_backward.py::Test_FMHA_Backward::test_op_forward_with_lse_matches_reference[cutile-1-8-256-128-True-torch.float16]": 1.4178816179999956,
-"tests/ops/experimental/test_attention_backward.py::Test_FMHA_Backward::test_op_forward_with_lse_matches_reference[cutile-2-8-512-64-False-torch.bfloat16]": 0.843168841999983,
-"tests/ops/experimental/test_attention_backward.py::Test_FMHA_Backward::test_op_functional_api_inference_mode[cutile]": 1.70386251299999,
-"tests/ops/experimental/test_attention_backward.py::Test_FMHA_Backward::test_op_functional_api_training_mode[cutile]": 14.156464977000013,
-"tests/ops/experimental/test_attention_backward.py::Test_FMHA_Backward_GQA::test_op_backward_gqa[cutile-1-8-1-128-64-True-torch.float16]": 14.83967427999994,
-"tests/ops/experimental/test_attention_backward.py::Test_FMHA_Backward_GQA::test_op_backward_gqa[cutile-1-8-4-128-64-True-torch.float16]": 14.582536329999982,
-"tests/ops/experimental/test_attention_backward.py::Test_FMHA_Backward_Numerical::test_op_numerical_gradient_check[cutile]": 0.19474330100007364,
-"tests/ops/experimental/test_fused_linear_cross_entropy.py::TestFusedLinearCrossEntropy::test_op_chunk_size_consistency[cutile]": 0.7825574620000566,
-"tests/ops/experimental/test_fused_linear_cross_entropy.py::TestFusedLinearCrossEntropy::test_op_forward_matches_pytorch[cutile-1-256-384-4096-torch.float16-sum]": 0.3961107460000335,
-"tests/ops/experimental/test_fused_linear_cross_entropy.py::TestFusedLinearCrossEntropy::test_op_forward_matches_pytorch[cutile-2-128-256-2048-torch.float16-mean]": 0.6678163599999607,
-"tests/ops/experimental/test_fused_linear_cross_entropy.py::TestFusedLinearCrossEntropy::test_op_forward_matches_pytorch[cutile-2-64-256-2048-torch.bfloat16-mean]": 0.5628469829999858,
-"tests/ops/experimental/test_fused_linear_cross_entropy.py::TestFusedLinearCrossEntropy::test_op_peak_memory_less_than_pytorch[cutile]": 1.2144154339999886,
-"tests/ops/experimental/test_fused_swiglu_backward.py::Test_FusedSwiGLUBackward::test_op[cutile-torch.float32-2-512-1024-4096]": 3.175445532000026,
-"tests/ops/experimental/test_fused_swiglu_backward.py::Test_FusedSwiGLUBackward::test_op[cutile-torch.float32-2-64-256-512]": 2.0277287100000194,
-"tests/ops/experimental/test_fused_swiglu_backward.py::Test_FusedSwiGLUBackward::test_op[cutile-torch.float32-4-128-512-1024]": 2.601571251999985,
-"tests/ops/experimental/test_fused_swiglu_backward.py::Test_FusedSwiGLUBackward::test_op[cutile-torch.float32-8-256-512-2048]": 2.6691556300000343,
-"tests/ops/experimental/test_fused_swiglu_backward.py::Test_FusedSwiGLUBackward::test_op_irregular[cutile-torch.float32-11-127-750-1500]": 0.6332476280000492,
-"tests/ops/experimental/test_fused_swiglu_backward.py::Test_FusedSwiGLUBackward::test_op_irregular[cutile-torch.float32-13-128-512-1024]": 0.14578609700004108,
-"tests/ops/experimental/test_fused_swiglu_backward.py::Test_FusedSwiGLUBackward::test_op_irregular[cutile-torch.float32-13-333-500-1000]": 0.6153365129999884,
-"tests/ops/experimental/test_fused_swiglu_backward.py::Test_FusedSwiGLUBackward::test_op_irregular[cutile-torch.float32-4-100-256-512]": 0.13399814500002094,
-"tests/ops/experimental/test_fused_swiglu_backward.py::Test_FusedSwiGLUBackward::test_op_irregular[cutile-torch.float32-4-128-300-600]": 3.092563860999917,
-"tests/ops/experimental/test_fused_swiglu_backward.py::Test_FusedSwiGLUBackward::test_op_irregular[cutile-torch.float32-4-128-500-1000]": 3.0359421699999416,
-"tests/ops/experimental/test_fused_swiglu_backward.py::Test_FusedSwiGLUBackward::test_op_irregular[cutile-torch.float32-4-128-750-1500]": 3.203327553000065,
-"tests/ops/experimental/test_fused_swiglu_backward.py::Test_FusedSwiGLUBackward::test_op_irregular[cutile-torch.float32-4-333-512-1024]": 0.4911071189999916,
-"tests/ops/experimental/test_fused_swiglu_backward.py::Test_FusedSwiGLUBackward::test_op_irregular[cutile-torch.float32-7-100-300-600]": 0.6098597609999956,
-"tests/ops/experimental/test_fused_swiglu_backward.py::Test_FusedSwiGLUBackward::test_op_irregular[cutile-torch.float32-7-64-256-512]": 0.17596039799997243,
-"tests/ops/experimental/test_mhc.py::Test_MHC::test_op_mhc_apply_residual[cutile-128-2-1024]": 0.37365006899997866,
-"tests/ops/experimental/test_mhc.py::Test_MHC::test_op_mhc_apply_residual[cutile-128-4-1024]": 0.46702334600001905,
-"tests/ops/experimental/test_mhc.py::Test_MHC::test_op_mhc_apply_residual[cutile-64-8-2048]": 0.4025114750000114,
-"tests/ops/experimental/test_mhc.py::Test_MHC::test_op_mhc_gemm_rms_scale_bf16_precision[cutile-128-1000-8]": 22.003300546000048,
-"tests/ops/experimental/test_mhc.py::Test_MHC::test_op_mhc_gemm_rms_scale_bf16_precision[cutile-128-1024-4]": 22.04024993600001,
-"tests/ops/experimental/test_mhc.py::Test_MHC::test_op_mhc_gemm_rms_scale_bf16_precision[cutile-128-1024-8]": 22.057073146999983,
-"tests/ops/experimental/test_mhc.py::Test_MHC::test_op_mhc_sinkhorn[cutile-256-4-torch.float32]": 0.3531446859999505,
-"tests/ops/experimental/test_mhc.py::Test_MHC::test_op_mhc_sinkhorn[cutile-256-8-torch.float32]": 1.1213951590000022,
-"tests/ops/experimental/test_nvfp4_quantize.py::TestNVFP4Quantize::test_op_input_dtypes[cutile-torch.bfloat16]": 0.00034673999999768057,
-"tests/ops/experimental/test_nvfp4_quantize.py::TestNVFP4Quantize::test_op_input_dtypes[cutile-torch.float16]": 0.00036934300001689735,
-"tests/ops/experimental/test_nvfp4_quantize.py::TestNVFP4Quantize::test_op_input_dtypes[cutile-torch.float32]": 0.0003653859999701581,
-"tests/ops/experimental/test_nvfp4_quantize.py::TestNVFP4Quantize::test_op_invalid_inputs[cutile]": 0.000394014999983483,
-"tests/ops/experimental/test_nvfp4_quantize.py::TestNVFP4Quantize::test_op_output_shapes[cutile-1-64]": 0.00035464800001250296,
-"tests/ops/experimental/test_nvfp4_quantize.py::TestNVFP4Quantize::test_op_output_shapes[cutile-128-64]": 0.0015886700000180554,
-"tests/ops/experimental/test_nvfp4_quantize.py::TestNVFP4Quantize::test_op_output_shapes[cutile-128-80]": 0.0004480249999971875,
-"tests/ops/experimental/test_nvfp4_quantize.py::TestNVFP4Quantize::test_op_output_shapes[cutile-160-80]": 0.00037714500001584383,
-"tests/ops/experimental/test_nvfp4_quantize.py::TestNVFP4Quantize::test_op_output_shapes[cutile-17-64]": 0.000384698999965849,
-"tests/ops/experimental/test_nvfp4_quantize.py::TestNVFP4Quantize::test_op_output_shapes[cutile-192-64]": 0.0004533419999859234,
-"tests/ops/experimental/test_nvfp4_quantize.py::TestNVFP4Quantize::test_op_output_shapes[cutile-256-48]": 0.00047013299999321134,
-"tests/ops/experimental/test_nvfp4_quantize.py::TestNVFP4Quantize::test_op_output_shapes[cutile-33-48]": 0.0007257580000157304,
-"tests/ops/experimental/test_nvfp4_quantize.py::TestNVFP4Quantize::test_op_output_shapes[cutile-512-256]": 0.0005753579999918657,
-"tests/ops/experimental/test_nvfp4_quantize.py::TestNVFP4Quantize::test_op_output_shapes[cutile-64-64]": 0.00047972900000559093,
-"tests/ops/experimental/test_rmsnorm_backward.py::Test_RMSNormAutogradBackward::test_op[cutile-None-256-256-torch.float16]": 0.3227062299999943,
-"tests/ops/experimental/test_rmsnorm_backward.py::Test_RMSNormAutogradBackward::test_op[cutile-None-256-256-torch.float32]": 0.29871442600000364,
-"tests/ops/experimental/test_rmsnorm_backward.py::Test_RMSNormAutogradBackward::test_op[cutile-None-4096-256-torch.bfloat16]": 0.41247341700000106,
-"tests/ops/experimental/test_rmsnorm_backward.py::Test_RMSNormAutogradBackward::test_op[cutile-multi_wave_cached-256-256-torch.float16]": 0.270056980000021,
-"tests/ops/experimental/test_rmsnorm_backward.py::Test_RMSNormAutogradBackward::test_op[cutile-multi_wave_cached-256-256-torch.float32]": 0.31469059899998797,
-"tests/ops/experimental/test_rmsnorm_backward.py::Test_RMSNormAutogradBackward::test_op[cutile-multi_wave_cached-4096-256-torch.bfloat16]": 0.3079473750000261,
-"tests/ops/experimental/test_rmsnorm_backward.py::Test_RMSNormAutogradBackward::test_op[cutile-multi_wave_reload-256-256-torch.float16]": 0.1830220050000264,
-"tests/ops/experimental/test_rmsnorm_backward.py::Test_RMSNormAutogradBackward::test_op[cutile-multi_wave_reload-256-256-torch.float32]": 0.1866813860000036,
-"tests/ops/experimental/test_rmsnorm_backward.py::Test_RMSNormAutogradBackward::test_op[cutile-multi_wave_reload-4096-256-torch.bfloat16]": 0.27457359400003156,
-"tests/ops/experimental/test_rmsnorm_backward.py::Test_RMSNormAutogradBackward::test_op[cutile-static_persistent-256-256-torch.float16]": 0.4125913969999999,
-"tests/ops/experimental/test_rmsnorm_backward.py::Test_RMSNormAutogradBackward::test_op[cutile-static_persistent-256-256-torch.float32]": 1.1573738550000314,
-"tests/ops/experimental/test_rmsnorm_backward.py::Test_RMSNormAutogradBackward::test_op[cutile-static_persistent-4096-256-torch.bfloat16]": 0.18547258800001032,
-"tests/ops/experimental/test_rmsnorm_backward.py::Test_RMSNormBackward::test_op[cutile-2003-2001-torch.float16]": 1.2192593559999807,
-"tests/ops/experimental/test_rmsnorm_backward.py::Test_RMSNormBackward::test_op[cutile-256-256-torch.float16]": 1.5960999100000208,
-"tests/ops/experimental/test_rmsnorm_backward.py::Test_RMSNormBackward::test_op[cutile-256-256-torch.float32]": 0.44227652899999725,
-"tests/ops/experimental/test_rmsnorm_backward.py::Test_RMSNormBackward::test_op[cutile-31072-4096-torch.bfloat16]": 5.277308180000006,
-"tests/ops/experimental/test_rmsnorm_backward.py::Test_RMSNormBackward::test_op[cutile-4096-256-torch.bfloat16]": 1.4690393539999889,
-"tests/ops/experimental/test_sparse_mla.py::Test_SparseMLA::test_op_basic[cutile-torch.bfloat16-1-16-64-128-128-64-1-64]": 23.987745812000014,
-"tests/ops/experimental/test_sparse_mla.py::Test_SparseMLA::test_op_basic[cutile-torch.bfloat16-1-64-128-256-128-64-1-256]": 72.71789477399997,
-"tests/ops/experimental/test_sparse_mla.py::Test_SparseMLA::test_op_basic[cutile-torch.bfloat16-2-32-128-256-128-64-1-128]": 54.19948703700001,
-"tests/ops/experimental/test_sparse_mla.py::Test_SparseMLA::test_op_gqa[cutile-torch.bfloat16-1-16-64-128-128-64-4-64]": 11.969101440999964,
-"tests/ops/experimental/test_sparse_mla.py::Test_SparseMLA::test_op_gqa[cutile-torch.bfloat16-1-32-64-128-128-64-8-64]": 11.99379472000004,
-"tests/ops/experimental/test_sparse_mla.py::Test_SparseMLA::test_op_invalid_kernel_configs[cutile]": 0.17762501099991823,
-"tests/ops/experimental/test_sparse_mla.py::Test_SparseMLA::test_op_irregular_shapes[cutile-torch.bfloat16-1-16-1-128-128-64-1-64]": 23.37311749600002,
-"tests/ops/experimental/test_sparse_mla.py::Test_SparseMLA::test_op_irregular_shapes[cutile-torch.bfloat16-1-16-33-77-128-64-1-64]": 23.572224214000016,
-"tests/ops/experimental/test_sparse_mla.py::Test_SparseMLA::test_op_tile_h_configs[cutile-torch.bfloat16-16-1-16-32-TILE_H with small TILE_N]": 0.163957962999973,
-"tests/ops/experimental/test_sparse_mla.py::Test_SparseMLA::test_op_tile_h_configs[cutile-torch.bfloat16-16-1-4-64-small TILE_H]": 0.21193477500003155,
-"tests/ops/experimental/test_sparse_mla.py::Test_SparseMLA::test_op_tile_h_configs[cutile-torch.bfloat16-16-16-1-64-1:1 mapping fallback]": 0.8605218060000084,
-"tests/ops/experimental/test_sparse_mla.py::Test_SparseMLA::test_op_tile_h_configs[cutile-torch.bfloat16-16-4-4-64-GQA group_size=4]": 0.20039560100002518,
-"tests/ops/experimental/test_sparse_mla.py::Test_SparseMLA::test_op_tile_h_configs[cutile-torch.bfloat16-18-6-1-64-odd prime group_size=3 fallback]": 0.8395221980000542,
-"tests/ops/experimental/test_sparse_mla.py::Test_SparseMLA::test_op_tile_h_configs[cutile-torch.bfloat16-24-4-2-64-non_pow2 group_size=6, TILE_H=2]": 0.8913572380000119,
-"tests/ops/experimental/test_sparse_mla.py::Test_SparseMLA::test_op_tile_h_configs[cutile-torch.bfloat16-24-8-1-64-non_pow2 group_size=3 fallback]": 0.8122334290000026,
-"tests/ops/experimental/test_sparse_mla.py::Test_SparseMLA::test_op_tile_h_configs[cutile-torch.bfloat16-64-1-16-64-large TILE_H]": 0.19307529399992518,
-"tests/ops/experimental/test_sparse_mla.py::Test_SparseMLA::test_op_topk_equals_skv[cutile-torch.bfloat16-1-16-64-128-64-1]": 0.16808514699994248,
-"tests/ops/experimental/test_swa_attention.py::TestSWAAttention::test_op_first_tokens[cutile]": 0.15300257099994496,
-"tests/ops/experimental/test_swa_attention.py::TestSWAAttention::test_op_gqa[cutile]": 0.14020915700001524,
-"tests/ops/experimental/test_swa_attention.py::TestSWAAttention::test_op_long_context_mistral[cutile]": 0.1464283339999497,
-"tests/ops/experimental/test_swa_attention.py::TestSWAAttention::test_op_multi_head[cutile]": 0.14853086900001244,
-"tests/ops/experimental/test_swa_attention.py::TestSWAAttention::test_op_seq_not_divisible_by_tile[cutile]": 0.12686812300006522,
-"tests/ops/experimental/test_swa_attention.py::TestSWAAttention::test_op_small_window[cutile]": 0.17203821200001812,
-"tests/ops/experimental/test_swa_attention.py::TestSWAAttention::test_op_various_configs[cutile-1024-512]": 0.12733472200005735,
-"tests/ops/experimental/test_swa_attention.py::TestSWAAttention::test_op_various_configs[cutile-2048-1024]": 0.13733208999991575,
-"tests/ops/experimental/test_swa_attention.py::TestSWAAttention::test_op_various_configs[cutile-4096-2048]": 0.15960417999991705,
-"tests/ops/experimental/test_swa_attention.py::TestSWAAttention::test_op_various_configs[cutile-4096-4096]": 0.15222652100004552,
-"tests/ops/experimental/test_swa_attention.py::TestSWAAttention::test_op_various_configs[cutile-512-256]": 0.12223583100001179,
-"tests/ops/experimental/test_swa_attention.py::TestSWAAttention::test_op_very_small_seq[cutile]": 0.15322240099999362,
-"tests/ops/experimental/test_swa_attention.py::TestSWAAttention::test_op_window_equals_seq[cutile]": 1.0128446389998658,
-"tests/ops/experimental/test_swa_attention.py::TestSWAAttention::test_op_window_equals_tile[cutile]": 0.14546149500000638,
-"tests/ops/experimental/test_swa_attention.py::TestSWAAttention::test_op_window_of_one[cutile]": 0.15153256199999987,
-"tests/ops/test_attention.py::Test_FMHA::test_op[cutile-1-1-9-128-False-torch.bfloat16]": 0.004221206000124766,
-"tests/ops/test_attention.py::Test_FMHA::test_op[cutile-1-32-2047-128-True-torch.float16]": 0.0032436640000810257,
-"tests/ops/test_attention.py::Test_FMHA::test_op[cutile-2-32-4095-128-True-torch.bfloat16]": 0.0009857249999640771,
-"tests/ops/test_attention.py::Test_FMHA::test_op[cutile-2-32-4095-128-True-torch.float8_e5m2]": 0.00111708299999691,
-"tests/ops/test_attention.py::Test_FMHA::test_op[tilecpp-1-1-9-128-False-torch.bfloat16]": 0.0013015129999871533,
-"tests/ops/test_attention.py::Test_FMHA::test_op[tilecpp-1-32-2047-128-True-torch.float16]": 0.0010286569999493622,
-"tests/ops/test_attention.py::Test_FMHA::test_op[tilecpp-2-32-4095-128-True-torch.bfloat16]": 0.0009819090000178221,
-"tests/ops/test_attention.py::Test_FMHA::test_op[tilecpp-2-32-4095-128-True-torch.float8_e5m2]": 0.0011111019999816563,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-128-0.125-64-8-8-128-1-1]": 27.348949671000014,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-128-0.125-64-8-8-128-1-2]": 26.96431093399997,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-128-0.125-64-8-8-128-128-1]": 20.408174393000024,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-128-0.125-64-8-8-128-128-2]": 1.1380520039999737,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-128-0.125-64-8-8-32-1-1]": 23.83852512599998,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-128-0.125-64-8-8-32-1-2]": 23.619622453000034,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-128-0.125-64-8-8-32-128-1]": 0.0011951109999586151,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-128-0.125-64-8-8-32-128-2]": 0.0012297370000737828,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-None-0.125-64-8-8-128-1-1]": 1.012083682000025,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-None-0.125-64-8-8-128-1-2]": 5.632853217000047,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-None-0.125-64-8-8-128-128-1]": 1.2442101940000043,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-None-0.125-64-8-8-128-128-2]": 18.965424010999982,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-None-0.125-64-8-8-32-1-1]": 22.763951412999972,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-None-0.125-64-8-8-32-1-2]": 22.60411602299999,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-None-0.125-64-8-8-32-128-1]": 0.0011114230000259795,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-None-0.125-64-8-8-32-128-2]": 0.0034237760000053186,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-128-0.125-64-8-8-128-1-1]": 0.136886469999979,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-128-0.125-64-8-8-128-1-2]": 0.1331104299999879,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-128-0.125-64-8-8-128-128-1]": 0.14555783199995176,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-128-0.125-64-8-8-128-128-2]": 0.13650307299997166,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-128-0.125-64-8-8-32-1-1]": 0.11658188499995958,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-128-0.125-64-8-8-32-1-2]": 0.1350320189999934,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-128-0.125-64-8-8-32-128-1]": 0.0012107629999604796,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-128-0.125-64-8-8-32-128-2]": 0.0010797049999951014,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-None-0.125-64-8-8-128-1-1]": 25.24413892199999,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-None-0.125-64-8-8-128-1-2]": 24.936055907999958,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-None-0.125-64-8-8-128-128-1]": 1.319809111999973,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-None-0.125-64-8-8-128-128-2]": 0.17510492800005295,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-None-0.125-64-8-8-32-1-1]": 0.14420343400007596,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-None-0.125-64-8-8-32-1-2]": 0.17893401700001732,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-None-0.125-64-8-8-32-128-1]": 0.0035821970000142755,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-None-0.125-64-8-8-32-128-2]": 0.002543734999960634,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-128-0.125-64-8-8-128-1-1]": 3.394933610999999,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-128-0.125-64-8-8-128-1-2]": 0.1747254450000355,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-128-0.125-64-8-8-128-128-1]": 0.14453283799997507,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-128-0.125-64-8-8-128-128-2]": 0.14144523599998138,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-128-0.125-64-8-8-32-1-1]": 0.163625106999973,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-128-0.125-64-8-8-32-1-2]": 0.16512914700001602,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-128-0.125-64-8-8-32-128-1]": 0.0014828639999677762,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-128-0.125-64-8-8-32-128-2]": 0.0011047170000324513,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-None-0.125-64-8-8-128-1-1]": 3.4024638259999733,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-None-0.125-64-8-8-128-1-2]": 0.174875596999982,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-None-0.125-64-8-8-128-128-1]": 0.15278321400001005,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-None-0.125-64-8-8-128-128-2]": 0.1453694570000721,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-None-0.125-64-8-8-32-1-1]": 0.13868214400002898,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-None-0.125-64-8-8-32-1-2]": 0.13999234599998545,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-None-0.125-64-8-8-32-128-1]": 0.0014033180000296852,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-None-0.125-64-8-8-32-128-2]": 0.0013720219999981964,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-128-0.125-64-8-8-128-1-1]": 0.16732041999995317,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-128-0.125-64-8-8-128-1-2]": 0.1407116359999918,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-128-0.125-64-8-8-128-128-1]": 0.16617098899996563,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-128-0.125-64-8-8-128-128-2]": 0.16272272100002283,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-128-0.125-64-8-8-32-1-1]": 0.14194329100007508,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-128-0.125-64-8-8-32-1-2]": 0.16295605700008764,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-128-0.125-64-8-8-32-128-1]": 0.0014254900000310045,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-128-0.125-64-8-8-32-128-2]": 0.001675059000035617,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-None-0.125-64-8-8-128-1-1]": 0.1538389490000327,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-None-0.125-64-8-8-128-1-2]": 0.13430227899999636,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-None-0.125-64-8-8-128-128-1]": 0.125279259000024,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-None-0.125-64-8-8-128-128-2]": 0.16857088199992631,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-None-0.125-64-8-8-32-1-1]": 0.1544212460000267,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-None-0.125-64-8-8-32-1-2]": 0.1802905389999978,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-None-0.125-64-8-8-32-128-1]": 0.0015040030000363913,
-"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-None-0.125-64-8-8-32-128-2]": 0.004789891000029911,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-cutile-0-False-None-0.0-bnsd-False]": 0.0012249860000110857,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-cutile-0-False-None-0.0-bnsd-True]": 0.001277080000022579,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-cutile-0-False-None-0.0-nsbd-False]": 0.0016846270000030472,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-cutile-0-False-None-0.1-bnsd-False]": 0.0019856039999979203,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-cutile-0-False-alibi-0.0-bnsd-False]": 0.0021563799999739786,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-cutile-0-False-alibi-0.1-nsbd-True]": 0.0011818250000033004,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-cutile-0-False-matrix-0.0-bnsd-False]": 0.0012106460000325114,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-cutile-0-False-vector-0.0-bnsd-False]": 0.0013097419999894555,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-cutile-0-True-None-0.0-bnsd-False]": 0.0011458270000446191,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-cutile-512-False-None-0.0-bnsd-False]": 0.0013169810000022153,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-cutile-512-True-None-0.0-nsbd-True]": 0.0012522899999680703,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-cutile-512-True-matrix-0.1-nsbd-True]": 0.002299813000007589,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-triton-0-False-None-0.0-bnsd-False]": 0.0011747180000440949,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-triton-0-False-None-0.0-bnsd-True]": 0.0011767229999861684,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-triton-0-False-None-0.0-nsbd-False]": 0.001363480999998501,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-triton-0-False-None-0.1-bnsd-False]": 0.001243822999981603,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-triton-0-False-alibi-0.0-bnsd-False]": 0.0012403679999977157,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-triton-0-False-alibi-0.1-nsbd-True]": 0.0011249840000004951,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-triton-0-False-matrix-0.0-bnsd-False]": 0.0012735560000010082,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-triton-0-False-vector-0.0-bnsd-False]": 0.001344881999983727,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-triton-0-True-None-0.0-bnsd-False]": 0.0012398700000346707,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-triton-512-False-None-0.0-bnsd-False]": 0.0011874509999643124,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-triton-512-True-None-0.0-nsbd-True]": 0.0011790859999791792,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-triton-512-True-matrix-0.1-nsbd-True]": 0.0012679510000168648,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-cutile-0-False-None-0.0-bnsd-False]": 0.0012055659999816726,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-cutile-0-False-None-0.0-bnsd-True]": 0.0011971210000183419,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-cutile-0-False-None-0.0-nsbd-False]": 0.0013444040000081259,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-cutile-0-False-None-0.1-bnsd-False]": 0.0011981799999603027,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-cutile-0-False-alibi-0.0-bnsd-False]": 0.0012311420000230555,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-cutile-0-False-alibi-0.1-nsbd-True]": 0.0012075269999911598,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-cutile-0-False-matrix-0.0-bnsd-False]": 0.0011493140000027324,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-cutile-0-False-vector-0.0-bnsd-False]": 0.001324291000003086,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-cutile-0-True-None-0.0-bnsd-False]": 0.0012184349999984079,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-cutile-512-False-None-0.0-bnsd-False]": 0.0012059040000167442,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-cutile-512-True-None-0.0-nsbd-True]": 0.0012031499999807238,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-cutile-512-True-matrix-0.1-nsbd-True]": 0.0013351089999957821,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-triton-0-False-None-0.0-bnsd-False]": 0.001277568000006113,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-triton-0-False-None-0.0-bnsd-True]": 0.001251026000005595,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-triton-0-False-None-0.0-nsbd-False]": 0.001227012999947874,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-triton-0-False-None-0.1-bnsd-False]": 0.001226530999986153,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-triton-0-False-alibi-0.0-bnsd-False]": 0.0012258339999959844,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-triton-0-False-alibi-0.1-nsbd-True]": 0.0012358350000170049,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-triton-0-False-matrix-0.0-bnsd-False]": 0.0012469540000097368,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-triton-0-False-vector-0.0-bnsd-False]": 0.001475760000033688,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-triton-0-True-None-0.0-bnsd-False]": 0.0013604029999783052,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-triton-512-False-None-0.0-bnsd-False]": 0.001242395999980772,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-triton-512-True-None-0.0-nsbd-True]": 0.0011876800000152343,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-triton-512-True-matrix-0.1-nsbd-True]": 0.0012308840000514465,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-cutile-0-False-None-0.0-bnsd-False]": 0.0012528970000289519,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-cutile-0-False-None-0.0-bnsd-True]": 0.0012212540000007266,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-cutile-0-False-None-0.0-nsbd-False]": 0.001339122999979736,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-cutile-0-False-None-0.1-bnsd-False]": 0.0012073649999706504,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-cutile-0-False-alibi-0.0-bnsd-False]": 0.0012260120000178176,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-cutile-0-False-alibi-0.1-nsbd-True]": 0.0012227849999817408,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-cutile-0-False-matrix-0.0-bnsd-False]": 0.0011998810000193316,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-cutile-0-False-vector-0.0-bnsd-False]": 0.0013570360000301207,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-cutile-0-True-None-0.0-bnsd-False]": 0.001210997000015368,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-cutile-512-False-None-0.0-bnsd-False]": 0.0012253280000038558,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-cutile-512-True-None-0.0-nsbd-True]": 0.001199096000021882,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-cutile-512-True-matrix-0.1-nsbd-True]": 0.001944166000015457,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-triton-0-False-None-0.0-bnsd-False]": 0.0012342219999936788,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-triton-0-False-None-0.0-bnsd-True]": 0.0012214840000126514,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-triton-0-False-None-0.0-nsbd-False]": 0.0014047550000100273,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-triton-0-False-None-0.1-bnsd-False]": 0.001198683999973582,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-triton-0-False-alibi-0.0-bnsd-False]": 0.0011992549999888524,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-triton-0-False-alibi-0.1-nsbd-True]": 0.0012142960000005587,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-triton-0-False-matrix-0.0-bnsd-False]": 0.001214010000012422,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-triton-0-False-vector-0.0-bnsd-False]": 0.001406304000028058,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-triton-0-True-None-0.0-bnsd-False]": 0.0012130349999779355,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-triton-512-False-None-0.0-bnsd-False]": 0.001221298999979581,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-triton-512-True-None-0.0-nsbd-True]": 0.001198805000029779,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-triton-512-True-matrix-0.1-nsbd-True]": 0.0013644909999754873,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-cutile-0-False-None-0.0-bnsd-False]": 0.0013793170000155897,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-cutile-0-False-None-0.0-bnsd-True]": 0.0011990190000119583,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-cutile-0-False-None-0.0-nsbd-False]": 0.0013442689999862978,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-cutile-0-False-None-0.1-bnsd-False]": 0.0012212009999927886,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-cutile-0-False-alibi-0.0-bnsd-False]": 0.0012554539999598546,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-cutile-0-False-alibi-0.1-nsbd-True]": 0.0012476900000137903,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-cutile-0-False-matrix-0.0-bnsd-False]": 0.0012588540000137982,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-cutile-0-False-vector-0.0-bnsd-False]": 0.0016444079999757832,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-cutile-0-True-None-0.0-bnsd-False]": 0.001416295000012724,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-cutile-512-False-None-0.0-bnsd-False]": 0.001313594999999168,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-cutile-512-True-None-0.0-nsbd-True]": 0.0012202260000151455,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-cutile-512-True-matrix-0.1-nsbd-True]": 0.0013515499999812164,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-triton-0-False-None-0.0-bnsd-False]": 0.001231043000018417,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-triton-0-False-None-0.0-bnsd-True]": 0.0013289679999957116,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-triton-0-False-None-0.0-nsbd-False]": 0.0015282319999982974,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-triton-0-False-None-0.1-bnsd-False]": 0.0012241829999766196,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-triton-0-False-alibi-0.0-bnsd-False]": 0.0012223170000140726,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-triton-0-False-alibi-0.1-nsbd-True]": 0.0012533620000283463,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-triton-0-False-matrix-0.0-bnsd-False]": 0.0012080859999628046,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-triton-0-False-vector-0.0-bnsd-False]": 0.0011357249999832675,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-triton-0-True-None-0.0-bnsd-False]": 0.0012853540000321573,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-triton-512-False-None-0.0-bnsd-False]": 0.0011010989999817866,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-triton-512-True-None-0.0-nsbd-True]": 0.0012492049999934807,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-triton-512-True-matrix-0.1-nsbd-True]": 0.0012474909999866668,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-cutile-0-False-None-0.0-bnsd-False]": 0.0012559500000008939,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-cutile-0-False-None-0.0-bnsd-True]": 0.001036084999952891,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-cutile-0-False-None-0.0-nsbd-False]": 0.0011161980000053973,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-cutile-0-False-None-0.1-bnsd-False]": 0.0010372720000191293,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-cutile-0-False-alibi-0.0-bnsd-False]": 0.0010293269999976928,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-cutile-0-False-alibi-0.1-nsbd-True]": 0.0010430540000072597,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-cutile-0-False-matrix-0.0-bnsd-False]": 0.0010727540000345925,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-cutile-0-False-vector-0.0-bnsd-False]": 0.0013458040000102756,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-cutile-0-True-None-0.0-bnsd-False]": 0.0011964139999918189,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-cutile-512-False-None-0.0-bnsd-False]": 0.0011605280000139828,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-cutile-512-True-None-0.0-nsbd-True]": 0.0010281810000094538,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-cutile-512-True-matrix-0.1-nsbd-True]": 0.0015519880000169906,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-triton-0-False-None-0.0-bnsd-False]": 0.0011839270000280067,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-triton-0-False-None-0.0-bnsd-True]": 0.001144477999986293,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-triton-0-False-None-0.0-nsbd-False]": 0.0013114120000068397,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-triton-0-False-None-0.1-bnsd-False]": 0.0012018220000129531,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-triton-0-False-alibi-0.0-bnsd-False]": 0.00116403099997342,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-triton-0-False-alibi-0.1-nsbd-True]": 0.0014092209999887473,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-triton-0-False-matrix-0.0-bnsd-False]": 0.0012029420000203572,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-triton-0-False-vector-0.0-bnsd-False]": 0.0013497120000067753,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-triton-0-True-None-0.0-bnsd-False]": 0.001224745999991228,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-triton-512-False-None-0.0-bnsd-False]": 0.0011756369999886829,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-triton-512-True-None-0.0-nsbd-True]": 0.0011748660000137079,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-triton-512-True-matrix-0.1-nsbd-True]": 0.001298219000005929,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-cutile-0-False-None-0.0-bnsd-False]": 0.0012505879999764602,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-cutile-0-False-None-0.0-bnsd-True]": 0.0011890050000147312,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-cutile-0-False-None-0.0-nsbd-False]": 0.0013307489999760946,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-cutile-0-False-None-0.1-bnsd-False]": 0.0012004660000286549,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-cutile-0-False-alibi-0.0-bnsd-False]": 0.0012058000000081392,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-cutile-0-False-alibi-0.1-nsbd-True]": 0.001218644999994467,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-cutile-0-False-matrix-0.0-bnsd-False]": 0.0012199050000560874,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-cutile-0-False-vector-0.0-bnsd-False]": 0.0013535969999907138,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-cutile-0-True-None-0.0-bnsd-False]": 0.001225003999962837,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-cutile-512-False-None-0.0-bnsd-False]": 0.0012116160000061882,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-cutile-512-True-None-0.0-nsbd-True]": 0.0012079359999859207,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-cutile-512-True-matrix-0.1-nsbd-True]": 0.0013190029999918806,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-triton-0-False-None-0.0-bnsd-False]": 0.001264886999990722,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-triton-0-False-None-0.0-bnsd-True]": 0.0014282919999573096,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-triton-0-False-None-0.0-nsbd-False]": 0.0012538299999960145,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-triton-0-False-None-0.1-bnsd-False]": 0.0013301449999971737,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-triton-0-False-alibi-0.0-bnsd-False]": 0.001231585999988738,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-triton-0-False-alibi-0.1-nsbd-True]": 0.0012268459999802417,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-triton-0-False-matrix-0.0-bnsd-False]": 0.0012558369999737806,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-triton-0-False-vector-0.0-bnsd-False]": 0.0012420429999906446,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-triton-0-True-None-0.0-bnsd-False]": 0.0014398410000069362,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-triton-512-False-None-0.0-bnsd-False]": 0.0012451990000101887,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-triton-512-True-None-0.0-nsbd-True]": 0.0013544710000417126,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-triton-512-True-matrix-0.1-nsbd-True]": 0.0013642410000045402,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-cutile-0-False-None-0.0-bnsd-False]": 0.0012298100000123213,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-cutile-0-False-None-0.0-bnsd-True]": 0.0011461889999964114,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-cutile-0-False-None-0.0-nsbd-False]": 0.001300023000027295,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-cutile-0-False-None-0.1-bnsd-False]": 0.001172379999985651,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-cutile-0-False-alibi-0.0-bnsd-False]": 0.0012046779999934643,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-cutile-0-False-alibi-0.1-nsbd-True]": 0.0012292600000023413,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-cutile-0-False-matrix-0.0-bnsd-False]": 0.0011692150000044421,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-cutile-0-False-vector-0.0-bnsd-False]": 0.001346520999987888,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-cutile-0-True-None-0.0-bnsd-False]": 0.0011490859999696568,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-cutile-512-False-None-0.0-bnsd-False]": 0.0011472369999978582,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-cutile-512-True-None-0.0-nsbd-True]": 0.0011283709999645453,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-cutile-512-True-matrix-0.1-nsbd-True]": 0.001768787000003158,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-triton-0-False-None-0.0-bnsd-False]": 0.0011039170000231024,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-triton-0-False-None-0.0-bnsd-True]": 0.0011028870000302504,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-triton-0-False-None-0.0-nsbd-False]": 0.0013834559999850171,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-triton-0-False-None-0.1-bnsd-False]": 0.0010420709999721112,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-triton-0-False-alibi-0.0-bnsd-False]": 0.0010397099999863713,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-triton-0-False-alibi-0.1-nsbd-True]": 0.0011849850000089646,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-triton-0-False-matrix-0.0-bnsd-False]": 0.001062157000035313,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-triton-0-False-vector-0.0-bnsd-False]": 0.0011484840000264285,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-triton-0-True-None-0.0-bnsd-False]": 0.001105675999980349,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-triton-512-False-None-0.0-bnsd-False]": 0.0010810769999807235,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-triton-512-True-None-0.0-nsbd-True]": 0.001266018999984908,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-triton-512-True-matrix-0.1-nsbd-True]": 0.0012927930000046217,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-cutile-0-False-None-0.0-bnsd-False]": 0.0011360709999905794,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-cutile-0-False-None-0.0-bnsd-True]": 0.0010648870000125044,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-cutile-0-False-None-0.0-nsbd-False]": 0.0011906509999732862,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-cutile-0-False-None-0.1-bnsd-False]": 0.0010772709999855579,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-cutile-0-False-alibi-0.0-bnsd-False]": 0.0010953529999540024,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-cutile-0-False-alibi-0.1-nsbd-True]": 0.001075717999981407,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-cutile-0-False-matrix-0.0-bnsd-False]": 0.0011325430000113101,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-cutile-0-False-vector-0.0-bnsd-False]": 0.001109232999993992,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-cutile-0-True-None-0.0-bnsd-False]": 0.001164309999978741,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-cutile-512-False-None-0.0-bnsd-False]": 0.001208780000013121,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-cutile-512-True-None-0.0-nsbd-True]": 0.0010895070000458418,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-cutile-512-True-matrix-0.1-nsbd-True]": 0.001171815999981618,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-triton-0-False-None-0.0-bnsd-False]": 0.0017541139999934785,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-triton-0-False-None-0.0-bnsd-True]": 0.0011730309999791189,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-triton-0-False-None-0.0-nsbd-False]": 0.0013095369999973627,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-triton-0-False-None-0.1-bnsd-False]": 0.0011435040000264962,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-triton-0-False-alibi-0.0-bnsd-False]": 0.0012369309999940015,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-triton-0-False-alibi-0.1-nsbd-True]": 0.0012739649999957692,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-triton-0-False-matrix-0.0-bnsd-False]": 0.0011637209999832976,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-triton-0-False-vector-0.0-bnsd-False]": 0.001363667000020996,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-triton-0-True-None-0.0-bnsd-False]": 0.0013343809999923906,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-triton-512-False-None-0.0-bnsd-False]": 0.001916794999999638,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-triton-512-True-None-0.0-nsbd-True]": 0.0012037510000197926,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-triton-512-True-matrix-0.1-nsbd-True]": 0.0011656379999749333,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-cutile-0-False-None-0.0-bnsd-False]": 0.002706841000019722,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-cutile-0-False-None-0.0-bnsd-True]": 0.0010770069999921361,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-cutile-0-False-None-0.0-nsbd-False]": 0.0015104009999902246,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-cutile-0-False-None-0.1-bnsd-False]": 0.0011732410000320215,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-cutile-0-False-alibi-0.0-bnsd-False]": 0.0012192929999912394,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-cutile-0-False-alibi-0.1-nsbd-True]": 0.0011735149999765326,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-cutile-0-False-matrix-0.0-bnsd-False]": 0.0012410780000209343,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-cutile-0-False-vector-0.0-bnsd-False]": 0.0015852309999786485,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-cutile-0-True-None-0.0-bnsd-False]": 0.0015747199999793793,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-cutile-512-False-None-0.0-bnsd-False]": 0.001570309999976871,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-cutile-512-True-None-0.0-nsbd-True]": 0.0011269440000205577,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-cutile-512-True-matrix-0.1-nsbd-True]": 0.002075996999963081,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-triton-0-False-None-0.0-bnsd-False]": 0.0015982839999821863,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-triton-0-False-None-0.0-bnsd-True]": 0.0017293190000202685,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-triton-0-False-None-0.0-nsbd-False]": 0.0017831440000293242,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-triton-0-False-None-0.1-bnsd-False]": 0.0016272349999724156,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-triton-0-False-alibi-0.0-bnsd-False]": 0.0016002960000207622,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-triton-0-False-alibi-0.1-nsbd-True]": 0.0016220539999949324,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-triton-0-False-matrix-0.0-bnsd-False]": 0.0015812400000072557,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-triton-0-False-vector-0.0-bnsd-False]": 0.001906456000028811,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-triton-0-True-None-0.0-bnsd-False]": 0.001593470999978308,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-triton-512-False-None-0.0-bnsd-False]": 0.0016035229999715739,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-triton-512-True-None-0.0-nsbd-True]": 0.001598571000016591,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-triton-512-True-matrix-0.1-nsbd-True]": 0.0018173630000148933,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-cutile-0-False-None-0.0-bnsd-False]": 0.00163935699998774,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-cutile-0-False-None-0.0-bnsd-True]": 0.0016003230000194435,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-cutile-0-False-None-0.0-nsbd-False]": 0.0017877959999736959,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-cutile-0-False-None-0.1-bnsd-False]": 0.0015920700000151555,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-cutile-0-False-alibi-0.0-bnsd-False]": 0.0016101629999809575,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-cutile-0-False-alibi-0.1-nsbd-True]": 0.0015795660000037515,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-cutile-0-False-matrix-0.0-bnsd-False]": 0.001630679000015789,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-cutile-0-False-vector-0.0-bnsd-False]": 0.0017995719999817084,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-cutile-0-True-None-0.0-bnsd-False]": 0.0016328730000054748,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-cutile-512-False-None-0.0-bnsd-False]": 0.0016460620000202653,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-cutile-512-True-None-0.0-nsbd-True]": 0.0017752999999913754,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-cutile-512-True-matrix-0.1-nsbd-True]": 0.00178159099996833,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-triton-0-False-None-0.0-bnsd-False]": 0.0012657390000185842,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-triton-0-False-None-0.0-bnsd-True]": 0.0017241619999879276,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-triton-0-False-None-0.0-nsbd-False]": 0.0017402900000149657,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-triton-0-False-None-0.1-bnsd-False]": 0.001830498999993324,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-triton-0-False-alibi-0.0-bnsd-False]": 0.0012359199999991688,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-triton-0-False-alibi-0.1-nsbd-True]": 0.0016495679999479762,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-triton-0-False-matrix-0.0-bnsd-False]": 0.0012185070000043652,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-triton-0-False-vector-0.0-bnsd-False]": 0.0012326169999710146,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-triton-0-True-None-0.0-bnsd-False]": 0.0014197110000395696,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-triton-512-False-None-0.0-bnsd-False]": 0.0013187829999878886,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-triton-512-True-None-0.0-nsbd-True]": 0.001678078000026062,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-triton-512-True-matrix-0.1-nsbd-True]": 0.0016238230000169551,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-cutile-0-False-None-0.0-bnsd-False]": 0.0011894969999843852,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-cutile-0-False-None-0.0-bnsd-True]": 0.0015677420000201892,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-cutile-0-False-None-0.0-nsbd-False]": 0.002670698000002858,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-cutile-0-False-None-0.1-bnsd-False]": 0.0028020279999907416,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-cutile-0-False-alibi-0.0-bnsd-False]": 0.0019111729999963245,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-cutile-0-False-alibi-0.1-nsbd-True]": 0.0012479589999827567,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-cutile-0-False-matrix-0.0-bnsd-False]": 0.001202691000003142,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-cutile-0-False-vector-0.0-bnsd-False]": 0.0013178989999858004,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-cutile-0-True-None-0.0-bnsd-False]": 0.001177890999997544,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-cutile-512-False-None-0.0-bnsd-False]": 0.0012906999999984237,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-cutile-512-True-None-0.0-nsbd-True]": 0.0013581149999879472,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-cutile-512-True-matrix-0.1-nsbd-True]": 0.0021669919999851572,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-triton-0-False-None-0.0-bnsd-False]": 0.001341607000000522,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-triton-0-False-None-0.0-bnsd-True]": 0.0012054139999975177,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-triton-0-False-None-0.0-nsbd-False]": 0.0013934889999802635,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-triton-0-False-None-0.1-bnsd-False]": 0.0013573570000176005,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-triton-0-False-alibi-0.0-bnsd-False]": 0.0012620159999983116,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-triton-0-False-alibi-0.1-nsbd-True]": 0.0012019029999805753,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-triton-0-False-matrix-0.0-bnsd-False]": 0.0013845309999851452,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-triton-0-False-vector-0.0-bnsd-False]": 0.0014741100000321694,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-triton-0-True-None-0.0-bnsd-False]": 0.001174297999995133,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-triton-512-False-None-0.0-bnsd-False]": 0.00118904300001077,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-triton-512-True-None-0.0-nsbd-True]": 0.0012987290000125995,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-triton-512-True-matrix-0.1-nsbd-True]": 0.0012858960000130537,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-cutile-0-False-None-0.0-bnsd-False]": 0.0011945429999968837,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-cutile-0-False-None-0.0-bnsd-True]": 0.001191157999983261,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-cutile-0-False-None-0.0-nsbd-False]": 0.0013498099999935675,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-cutile-0-False-None-0.1-bnsd-False]": 0.0012582480000276064,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-cutile-0-False-alibi-0.0-bnsd-False]": 0.0013959880000129488,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-cutile-0-False-alibi-0.1-nsbd-True]": 0.0012379089999967618,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-cutile-0-False-matrix-0.0-bnsd-False]": 0.0012308190000283048,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-cutile-0-False-vector-0.0-bnsd-False]": 0.0015072800000268671,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-cutile-0-True-None-0.0-bnsd-False]": 0.0011330950000001394,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-cutile-512-False-None-0.0-bnsd-False]": 0.001137773999971614,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-cutile-512-True-None-0.0-nsbd-True]": 0.00119684399999187,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-cutile-512-True-matrix-0.1-nsbd-True]": 0.0013671460000068691,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-triton-0-False-None-0.0-bnsd-False]": 0.0010883520000106728,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-triton-0-False-None-0.0-bnsd-True]": 0.001162041999975827,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-triton-0-False-None-0.0-nsbd-False]": 0.0011869310000065525,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-triton-0-False-None-0.1-bnsd-False]": 0.0011274160000027678,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-triton-0-False-alibi-0.0-bnsd-False]": 0.0012082069999905798,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-triton-0-False-alibi-0.1-nsbd-True]": 0.0012856719999945199,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-triton-0-False-matrix-0.0-bnsd-False]": 0.0011206160000085674,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-triton-0-False-vector-0.0-bnsd-False]": 0.001101029000011522,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-triton-0-True-None-0.0-bnsd-False]": 0.0010731810000095265,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-triton-512-False-None-0.0-bnsd-False]": 0.00118261000000075,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-triton-512-True-None-0.0-nsbd-True]": 0.0011600550000139265,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-triton-512-True-matrix-0.1-nsbd-True]": 0.001278530999996974,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-cutile-0-False-None-0.0-bnsd-False]": 0.001480847000010499,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-cutile-0-False-None-0.0-bnsd-True]": 0.0010745730000110143,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-cutile-0-False-None-0.0-nsbd-False]": 0.001156559000037305,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-cutile-0-False-None-0.1-bnsd-False]": 0.0012291280000056304,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-cutile-0-False-alibi-0.0-bnsd-False]": 0.00125234300000443,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-cutile-0-False-alibi-0.1-nsbd-True]": 0.001053498000004538,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-cutile-0-False-matrix-0.0-bnsd-False]": 0.0012609799999836468,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-cutile-0-False-vector-0.0-bnsd-False]": 0.0015937420000113889,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-cutile-0-True-None-0.0-bnsd-False]": 0.0011767619999716317,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-cutile-512-False-None-0.0-bnsd-False]": 0.0012309389999813902,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-cutile-512-True-None-0.0-nsbd-True]": 0.0010501730000100906,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-cutile-512-True-matrix-0.1-nsbd-True]": 0.0016672710000307234,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-triton-0-False-None-0.0-bnsd-False]": 0.0012380980000159525,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-triton-0-False-None-0.0-bnsd-True]": 0.0013386299999922358,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-triton-0-False-None-0.0-nsbd-False]": 0.0015080080000302587,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-triton-0-False-None-0.1-bnsd-False]": 0.001189137999972445,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-triton-0-False-alibi-0.0-bnsd-False]": 0.0012227189999691745,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-triton-0-False-alibi-0.1-nsbd-True]": 0.0014159850000226015,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-triton-0-False-matrix-0.0-bnsd-False]": 0.0012585609999860026,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-triton-0-False-vector-0.0-bnsd-False]": 0.0013129159999891726,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-triton-0-True-None-0.0-bnsd-False]": 0.0012240830000109781,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-triton-512-False-None-0.0-bnsd-False]": 0.0011865529999681712,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-triton-512-True-None-0.0-nsbd-True]": 0.0012229850000267106,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-triton-512-True-matrix-0.1-nsbd-True]": 0.0014623030000393555,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-cutile-0-False-None-0.0-bnsd-False]": 0.001249970999992911,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-cutile-0-False-None-0.0-bnsd-True]": 0.0012042920000112645,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-cutile-0-False-None-0.0-nsbd-False]": 0.0013749140000527404,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-cutile-0-False-None-0.1-bnsd-False]": 0.0012117609999791057,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-cutile-0-False-alibi-0.0-bnsd-False]": 0.0012044270000046708,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-cutile-0-False-alibi-0.1-nsbd-True]": 0.001247704999968846,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-cutile-0-False-matrix-0.0-bnsd-False]": 0.0011968219999971552,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-cutile-0-False-vector-0.0-bnsd-False]": 0.0013673199999857388,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-cutile-0-True-None-0.0-bnsd-False]": 0.0013108949999889319,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-cutile-512-False-None-0.0-bnsd-False]": 0.0012481640000032712,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-cutile-512-True-None-0.0-nsbd-True]": 0.001219470999984651,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-cutile-512-True-matrix-0.1-nsbd-True]": 0.001351051000000325,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-triton-0-False-None-0.0-bnsd-False]": 0.001250247999990961,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-triton-0-False-None-0.0-bnsd-True]": 0.0012046220000172525,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-triton-0-False-None-0.0-nsbd-False]": 0.0012531719999913093,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-triton-0-False-None-0.1-bnsd-False]": 0.0014473420000058468,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-triton-0-False-alibi-0.0-bnsd-False]": 0.0012378760000046896,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-triton-0-False-alibi-0.1-nsbd-True]": 0.0012432970000304522,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-triton-0-False-matrix-0.0-bnsd-False]": 0.0012227859999711654,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-triton-0-False-vector-0.0-bnsd-False]": 0.0012530189999893082,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-triton-0-True-None-0.0-bnsd-False]": 0.0011468680000064069,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-triton-512-False-None-0.0-bnsd-False]": 0.0011659810000139714,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-triton-512-True-None-0.0-nsbd-True]": 0.0012214700000185985,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-triton-512-True-matrix-0.1-nsbd-True]": 0.0012103340000066964,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-cutile-0-False-None-0.0-bnsd-False]": 0.0014420949999873756,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-cutile-0-False-None-0.0-bnsd-True]": 0.0011911010000176248,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-cutile-0-False-None-0.0-nsbd-False]": 0.0013814739999702397,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-cutile-0-False-None-0.1-bnsd-False]": 0.0014417399999615554,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-cutile-0-False-alibi-0.0-bnsd-False]": 0.0013057820000028642,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-cutile-0-False-alibi-0.1-nsbd-True]": 0.00119236099999398,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-cutile-0-False-matrix-0.0-bnsd-False]": 0.0016498999999896569,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-cutile-0-False-vector-0.0-bnsd-False]": 0.00157607000002713,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-cutile-0-True-None-0.0-bnsd-False]": 0.001406660999975884,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-cutile-512-False-None-0.0-bnsd-False]": 0.00138720000001058,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-cutile-512-True-None-0.0-nsbd-True]": 0.0011970849999727307,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-cutile-512-True-matrix-0.1-nsbd-True]": 0.0018694779999748334,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-triton-0-False-None-0.0-bnsd-False]": 0.0016207070000007207,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-triton-0-False-None-0.0-bnsd-True]": 0.0015245310000011614,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-triton-0-False-None-0.0-nsbd-False]": 0.0016891880000002857,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-triton-0-False-None-0.1-bnsd-False]": 0.001469799000005878,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-triton-0-False-alibi-0.0-bnsd-False]": 0.0015042349999987437,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-triton-0-False-alibi-0.1-nsbd-True]": 0.001441154000019651,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-triton-0-False-matrix-0.0-bnsd-False]": 0.0014791250000030232,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-triton-0-False-vector-0.0-bnsd-False]": 0.0016281220000280427,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-triton-0-True-None-0.0-bnsd-False]": 0.0014964550000229337,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-triton-512-False-None-0.0-bnsd-False]": 0.0015573129999779667,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-triton-512-True-None-0.0-nsbd-True]": 0.0014506400000016129,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-triton-512-True-matrix-0.1-nsbd-True]": 0.001523161999983813,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-cutile-0-False-None-0.0-bnsd-False]": 0.001216443000032541,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-cutile-0-False-None-0.0-bnsd-True]": 0.0016516119999891998,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-cutile-0-False-None-0.0-nsbd-False]": 0.001358089999968115,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-cutile-0-False-None-0.1-bnsd-False]": 0.0012325490000080208,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-cutile-0-False-alibi-0.0-bnsd-False]": 0.0013899319999950421,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-cutile-0-False-alibi-0.1-nsbd-True]": 0.0014783100000101967,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-cutile-0-False-matrix-0.0-bnsd-False]": 0.0012021709999885388,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-cutile-0-False-vector-0.0-bnsd-False]": 0.0013732900000036352,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-cutile-0-True-None-0.0-bnsd-False]": 0.0012160789999882127,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-cutile-512-False-None-0.0-bnsd-False]": 0.001247311000014406,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-cutile-512-True-None-0.0-nsbd-True]": 0.001534810999999081,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-cutile-512-True-matrix-0.1-nsbd-True]": 0.0016276560000392237,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-triton-0-False-None-0.0-bnsd-False]": 0.0012562629999877117,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-triton-0-False-None-0.0-bnsd-True]": 0.0012466990000064015,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-triton-0-False-None-0.0-nsbd-False]": 0.0013157750000232227,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-triton-0-False-None-0.1-bnsd-False]": 0.0012737210000466348,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-triton-0-False-alibi-0.0-bnsd-False]": 0.0011984070000323754,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-triton-0-False-alibi-0.1-nsbd-True]": 0.0014828390000047875,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-triton-0-False-matrix-0.0-bnsd-False]": 0.001213253999992503,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-triton-0-False-vector-0.0-bnsd-False]": 0.0012749879999773839,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-triton-0-True-None-0.0-bnsd-False]": 0.0012500220000219997,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-triton-512-False-None-0.0-bnsd-False]": 0.001285789000036175,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-triton-512-True-None-0.0-nsbd-True]": 0.0012898599999857652,
-"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-triton-512-True-matrix-0.1-nsbd-True]": 0.0012362549999807015,
-"tests/ops/test_attention_varlen.py::Test_FMHA_varlen::test_op[cutile-4-32-1-128-2064-128-False-torch.bfloat16-False]": 0.0011067229999639494,
-"tests/ops/test_attention_varlen.py::Test_FMHA_varlen::test_op[cutile-4-32-1-128-2064-128-False-torch.bfloat16-True]": 0.0010529810000434736,
-"tests/ops/test_attention_varlen.py::Test_FMHA_varlen::test_op[cutile-4-32-1-128-2064-128-True-torch.bfloat16-False]": 0.0010380090000410291,
-"tests/ops/test_attention_varlen.py::Test_FMHA_varlen::test_op[cutile-4-32-1-128-2064-128-True-torch.bfloat16-True]": 0.001290371000010282,
-"tests/ops/test_attention_varlen.py::Test_FMHA_varlen::test_op[cutile-4-32-1-128-496-128-False-torch.bfloat16-False]": 0.0010742119999918032,
-"tests/ops/test_attention_varlen.py::Test_FMHA_varlen::test_op[cutile-4-32-1-128-496-128-False-torch.bfloat16-True]": 0.0010844230000088828,
-"tests/ops/test_attention_varlen.py::Test_FMHA_varlen::test_op[cutile-4-32-1-128-496-128-True-torch.bfloat16-False]": 0.0010506309999982477,
-"tests/ops/test_attention_varlen.py::Test_FMHA_varlen::test_op[cutile-4-32-1-128-496-128-True-torch.bfloat16-True]": 0.0010603520000245226,
-"tests/ops/test_attention_varlen.py::Test_FMHA_varlen::test_op[cutile-4-32-1-257-2064-128-False-torch.bfloat16-False]": 0.0011151609999728862,
-"tests/ops/test_attention_varlen.py::Test_FMHA_varlen::test_op[cutile-4-32-1-257-2064-128-False-torch.bfloat16-True]": 0.0011237330000142265,
-"tests/ops/test_attention_varlen.py::Test_FMHA_varlen::test_op[cutile-4-32-1-257-2064-128-True-torch.bfloat16-False]": 0.001074563999992506,
-"tests/ops/test_attention_varlen.py::Test_FMHA_varlen::test_op[cutile-4-32-1-257-2064-128-True-torch.bfloat16-True]": 0.00114174799998068,
-"tests/ops/test_attention_varlen.py::Test_FMHA_varlen::test_op[cutile-4-32-1-257-496-128-False-torch.bfloat16-False]": 0.0010356679999858898,
-"tests/ops/test_attention_varlen.py::Test_FMHA_varlen::test_op[cutile-4-32-1-257-496-128-False-torch.bfloat16-True]": 0.001038116000017908,
-"tests/ops/test_attention_varlen.py::Test_FMHA_varlen::test_op[cutile-4-32-1-257-496-128-True-torch.bfloat16-False]": 0.0010587640000210286,
-"tests/ops/test_attention_varlen.py::Test_FMHA_varlen::test_op[cutile-4-32-1-257-496-128-True-torch.bfloat16-True]": 0.0010558570000114287,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-256-1023-False-False-torch.float16]": 0.14352786399999218,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-256-1023-False-True-torch.float16]": 0.13792577999998912,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-256-1023-True-False-torch.float16]": 0.13160875599999144,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-256-1023-True-True-torch.float16]": 0.1291036629999951,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-256-1024-False-False-torch.float16]": 1.5504859629999999,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-256-1024-False-True-torch.float16]": 0.17888685799999848,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-256-1024-True-False-torch.float16]": 0.17936500999999794,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-256-1024-True-True-torch.float16]": 0.13670385400004648,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-256-511-False-False-torch.float16]": 0.13974770300001182,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-256-511-False-True-torch.float16]": 0.13276363099996047,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-256-511-True-False-torch.float16]": 0.13968390499999828,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-256-511-True-True-torch.float16]": 0.14015477399996712,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-256-512-False-False-torch.float16]": 0.1300619250000068,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-256-512-False-True-torch.float16]": 0.12800402500002406,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-256-512-True-False-torch.float16]": 0.1324981240000227,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-256-512-True-True-torch.float16]": 0.13686975599998163,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-512-1023-False-False-torch.float16]": 0.17366386499998043,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-512-1023-False-True-torch.float16]": 0.18035357200002977,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-512-1023-True-False-torch.float16]": 0.18021495200000004,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-512-1023-True-True-torch.float16]": 0.18195007500000315,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-512-1024-False-False-torch.float16]": 0.18540067900002555,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-512-1024-False-True-torch.float16]": 0.17270706699997618,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-512-1024-True-False-torch.float16]": 0.17785839000001147,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-512-1024-True-True-torch.float16]": 0.17578743400000008,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-512-511-False-False-torch.float16]": 0.2146395030000008,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-512-511-False-True-torch.float16]": 0.18322966799999563,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-512-511-True-False-torch.float16]": 0.18468860499996254,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-512-511-True-True-torch.float16]": 0.1964918559999944,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-512-512-False-False-torch.float16]": 0.17273569799996835,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-512-512-False-True-torch.float16]": 0.1783330809999768,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-512-512-True-False-torch.float16]": 0.16902746400000979,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-512-512-True-True-torch.float16]": 0.19645542599997157,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-256-1023-False-False-torch.float16]": 1.5848281750000126,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-256-1023-False-True-torch.float16]": 0.167801489999988,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-256-1023-True-False-torch.float16]": 0.17227979599996956,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-256-1023-True-True-torch.float16]": 0.17071512200001848,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-256-1024-False-False-torch.float16]": 0.20503201400001103,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-256-1024-False-True-torch.float16]": 0.18886806099999376,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-256-1024-True-False-torch.float16]": 0.17820494900001904,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-256-1024-True-True-torch.float16]": 0.19686035399999469,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-256-511-False-False-torch.float16]": 0.17286634900005993,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-256-511-False-True-torch.float16]": 0.1413663139999244,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-256-511-True-False-torch.float16]": 0.13930550199984282,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-256-511-True-True-torch.float16]": 0.19627024399983384,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-256-512-False-False-torch.float16]": 0.1753268620000199,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-256-512-False-True-torch.float16]": 0.13643812300028912,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-256-512-True-False-torch.float16]": 0.13015909199975795,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-256-512-True-True-torch.float16]": 0.11941991999992752,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-512-1023-False-False-torch.float16]": 0.17792729600003554,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-512-1023-False-True-torch.float16]": 0.18816490299997213,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-512-1023-True-False-torch.float16]": 0.17850339900002155,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-512-1023-True-True-torch.float16]": 0.18158796199995209,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-512-1024-False-False-torch.float16]": 0.14316911199998117,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-512-1024-False-True-torch.float16]": 0.158183202999993,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-512-1024-True-False-torch.float16]": 0.1674369750000153,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-512-1024-True-True-torch.float16]": 0.1654174270000226,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-512-511-False-False-torch.float16]": 0.18823592499998654,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-512-511-False-True-torch.float16]": 0.17398274499996091,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-512-511-True-False-torch.float16]": 0.1816077489999941,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-512-511-True-True-torch.float16]": 0.16726551600004314,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-512-512-False-False-torch.float16]": 0.1843474749999814,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-512-512-False-True-torch.float16]": 0.17326306999996177,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-512-512-True-False-torch.float16]": 0.1783643689999792,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-512-512-True-True-torch.float16]": 0.18119622099999333,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-256-1023-False-False-torch.float16]": 57.69836592699994,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-256-1023-False-True-torch.float16]": 291.49695931999986,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-256-1023-True-False-torch.float16]": 13.491787292000026,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-256-1023-True-True-torch.float16]": 23.311794528999997,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-256-1024-False-False-torch.float16]": 13.88605859200004,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-256-1024-False-True-torch.float16]": 13.837973902000044,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-256-1024-True-False-torch.float16]": 13.642192917999978,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-256-1024-True-True-torch.float16]": 13.770189781,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-256-511-False-False-torch.float16]": 132.77990358699998,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-256-511-False-True-torch.float16]": 157.78928541599998,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-256-511-True-False-torch.float16]": 16.965602879000016,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-256-511-True-True-torch.float16]": 26.072262103999947,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-256-512-False-False-torch.float16]": 17.71862301200008,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-256-512-False-True-torch.float16]": 17.353098821999993,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-256-512-True-False-torch.float16]": 17.32231065100001,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-256-512-True-True-torch.float16]": 17.51899144099997,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-512-1023-False-False-torch.float16]": 57.25240083100016,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-512-1023-False-True-torch.float16]": 298.6479218239999,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-512-1023-True-False-torch.float16]": 13.718209162999983,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-512-1023-True-True-torch.float16]": 23.832339372000206,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-512-1024-False-False-torch.float16]": 13.6509698389998,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-512-1024-False-True-torch.float16]": 14.16245389400001,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-512-1024-True-False-torch.float16]": 13.441948295999964,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-512-1024-True-True-torch.float16]": 13.882072858000129,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-512-511-False-False-torch.float16]": 133.77471671600006,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-512-511-False-True-torch.float16]": 170.41293349400007,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-512-511-True-False-torch.float16]": 17.643053216999988,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-512-511-True-True-torch.float16]": 25.50387371799991,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-512-512-False-False-torch.float16]": 17.70623671600015,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-512-512-False-True-torch.float16]": 17.95185384399997,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-512-512-True-False-torch.float16]": 17.820820709000145,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-512-512-True-True-torch.float16]": 17.81172918299967,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-256-1023-False-False-torch.float16]": 50.539672963000044,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-256-1023-False-True-torch.float16]": 295.674271277,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-256-1023-True-False-torch.float16]": 13.472480462000021,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-256-1023-True-True-torch.float16]": 23.802054028999862,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-256-1024-False-False-torch.float16]": 13.484827779000057,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-256-1024-False-True-torch.float16]": 13.53746117999998,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-256-1024-True-False-torch.float16]": 13.34516426500005,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-256-1024-True-True-torch.float16]": 13.67660106599999,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-256-511-False-False-torch.float16]": 134.01968161299988,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-256-511-False-True-torch.float16]": 168.03832814000006,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-256-511-True-False-torch.float16]": 17.01759517100001,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-256-511-True-True-torch.float16]": 26.271212453999993,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-256-512-False-False-torch.float16]": 17.045606676000034,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-256-512-False-True-torch.float16]": 17.492527484999982,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-256-512-True-False-torch.float16]": 16.717237677999947,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-256-512-True-True-torch.float16]": 16.894005321999884,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-512-1023-False-False-torch.float16]": 52.303189300999975,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-512-1023-False-True-torch.float16]": 289.81769851499996,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-512-1023-True-False-torch.float16]": 13.166050436000091,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-512-1023-True-True-torch.float16]": 23.095223638999983,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-512-1024-False-False-torch.float16]": 13.555932448000021,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-512-1024-False-True-torch.float16]": 13.659670687000016,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-512-1024-True-False-torch.float16]": 13.141814365999949,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-512-1024-True-True-torch.float16]": 13.18186683700003,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-512-511-False-False-torch.float16]": 129.578922627,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-512-511-False-True-torch.float16]": 164.28969659600006,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-512-511-True-False-torch.float16]": 16.99811207199997,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-512-511-True-True-torch.float16]": 25.444895737000024,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-512-512-False-False-torch.float16]": 16.970982986999843,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-512-512-False-True-torch.float16]": 16.9878909439999,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-512-512-True-False-torch.float16]": 17.09009328899981,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-512-512-True-True-torch.float16]": 17.11837285899992,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-256-1023-False-False-torch.float16]": 0.12972502400000963,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-256-1023-False-True-torch.float16]": 0.1471466419999956,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-256-1023-True-False-torch.float16]": 0.13393206500001043,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-256-1023-True-True-torch.float16]": 0.11622101799997608,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-256-1024-False-False-torch.float16]": 1.327832347999987,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-256-1024-False-True-torch.float16]": 1.9241082950000248,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-256-1024-True-False-torch.float16]": 0.16195460499997694,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-256-1024-True-True-torch.float16]": 0.1413496800000189,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-256-511-False-False-torch.float16]": 0.1204590440000004,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-256-511-False-True-torch.float16]": 0.1276232419999701,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-256-511-True-False-torch.float16]": 0.1202325430000144,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-256-511-True-True-torch.float16]": 0.12902814699998544,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-256-512-False-False-torch.float16]": 0.1098283259999846,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-256-512-False-True-torch.float16]": 0.10579896500004793,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-256-512-True-False-torch.float16]": 0.10737069700002166,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-256-512-True-True-torch.float16]": 0.11067168800005334,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-512-1023-False-False-torch.float16]": 0.1387717799999848,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-512-1023-False-True-torch.float16]": 0.11998391399998809,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-512-1023-True-False-torch.float16]": 0.15890873099996838,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-512-1023-True-True-torch.float16]": 0.1562839530000133,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-512-1024-False-False-torch.float16]": 0.13047116699996764,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-512-1024-False-True-torch.float16]": 0.1371181200000251,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-512-1024-True-False-torch.float16]": 0.1383077030000095,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-512-1024-True-True-torch.float16]": 0.14826274899999703,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-512-511-False-False-torch.float16]": 0.1620138529999906,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-512-511-False-True-torch.float16]": 0.1790892660000054,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-512-511-True-False-torch.float16]": 1.3597707250000042,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-512-511-True-True-torch.float16]": 0.1711673929999904,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-512-512-False-False-torch.float16]": 0.15053349000001504,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-512-512-False-True-torch.float16]": 0.16103127299999187,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-512-512-True-False-torch.float16]": 0.1536379620000048,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-512-512-True-True-torch.float16]": 0.15407123600002137,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-256-1023-False-False-torch.float16]": 0.12016235500004768,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-256-1023-False-True-torch.float16]": 0.13306764399999338,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-256-1023-True-False-torch.float16]": 0.1630231839999965,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-256-1023-True-True-torch.float16]": 0.14730254100001616,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-256-1024-False-False-torch.float16]": 0.13546284099999184,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-256-1024-False-True-torch.float16]": 0.14486511499998755,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-256-1024-True-False-torch.float16]": 0.15235340399996744,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-256-1024-True-True-torch.float16]": 0.13348256199998332,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-256-511-False-False-torch.float16]": 0.15991857100001994,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-256-511-False-True-torch.float16]": 0.1672904419999668,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-256-511-True-False-torch.float16]": 1.9616818229999922,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-256-511-True-True-torch.float16]": 2.681044533000005,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-256-512-False-False-torch.float16]": 0.16134574800003065,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-256-512-False-True-torch.float16]": 0.1694752360000109,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-256-512-True-False-torch.float16]": 0.1517858400000307,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-256-512-True-True-torch.float16]": 0.15261863700001754,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-512-1023-False-False-torch.float16]": 0.12782135099999437,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-512-1023-False-True-torch.float16]": 0.12864554300000464,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-512-1023-True-False-torch.float16]": 0.1325558130000104,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-512-1023-True-True-torch.float16]": 0.14826950899998792,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-512-1024-False-False-torch.float16]": 0.1324696390000213,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-512-1024-False-True-torch.float16]": 0.1133549259999711,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-512-1024-True-False-torch.float16]": 0.11709143700002755,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-512-1024-True-True-torch.float16]": 0.11898302299999841,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-512-511-False-False-torch.float16]": 0.11976096900002631,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-512-511-False-True-torch.float16]": 0.14592404699999406,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-512-511-True-False-torch.float16]": 0.14255564399999798,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-512-511-True-True-torch.float16]": 0.13948803100001328,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-512-512-False-False-torch.float16]": 0.12100858799999514,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-512-512-False-True-torch.float16]": 0.14399551100001418,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-512-512-True-False-torch.float16]": 0.13392968199997313,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-512-512-True-True-torch.float16]": 0.13400094299998955,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-256-1023-False-False-torch.float16]": 0.18065573999999174,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-256-1023-False-True-torch.float16]": 0.1730078210000272,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-256-1023-True-False-torch.float16]": 0.16104598300000816,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-256-1023-True-True-torch.float16]": 0.17457540399999516,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-256-1024-False-False-torch.float16]": 0.1655270940000264,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-256-1024-False-True-torch.float16]": 0.17906287099998508,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-256-1024-True-False-torch.float16]": 0.17501338899998586,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-256-1024-True-True-torch.float16]": 0.16476445200001422,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-256-511-False-False-torch.float16]": 0.14867826099998638,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-256-511-False-True-torch.float16]": 0.17248826200000167,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-256-511-True-False-torch.float16]": 0.16420958200001223,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-256-511-True-True-torch.float16]": 0.1709937589999697,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-256-512-False-False-torch.float16]": 0.17257754799996405,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-256-512-False-True-torch.float16]": 0.16326321600001847,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-256-512-True-False-torch.float16]": 0.1711246040000276,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-256-512-True-True-torch.float16]": 0.16878054200006432,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-512-1023-False-False-torch.float16]": 0.13456352700001162,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-512-1023-False-True-torch.float16]": 0.14066604400002802,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-512-1023-True-False-torch.float16]": 0.1509927489999825,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-512-1023-True-True-torch.float16]": 0.1505847729999914,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-512-1024-False-False-torch.float16]": 0.1479353690000096,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-512-1024-False-True-torch.float16]": 0.14757696700002043,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-512-1024-True-False-torch.float16]": 0.14725429399996415,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-512-1024-True-True-torch.float16]": 0.14421212699997454,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-512-511-False-False-torch.float16]": 0.14135365399999955,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-512-511-False-True-torch.float16]": 0.16014445999999793,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-512-511-True-False-torch.float16]": 0.1704987180000046,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-512-511-True-True-torch.float16]": 0.17711753999998336,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-512-512-False-False-torch.float16]": 0.15203431100002263,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-512-512-False-True-torch.float16]": 0.14885940199999936,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-512-512-True-False-torch.float16]": 0.14530539900002282,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-512-512-True-True-torch.float16]": 0.14836723100000881,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-256-1023-False-False-torch.float16]": 0.13685048299998925,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-256-1023-False-True-torch.float16]": 0.1467517849999922,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-256-1023-True-False-torch.float16]": 0.13602184899997383,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-256-1023-True-True-torch.float16]": 0.1365213800000049,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-256-1024-False-False-torch.float16]": 0.13905003699997565,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-256-1024-False-True-torch.float16]": 0.14752112799999395,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-256-1024-True-False-torch.float16]": 0.13336045899998794,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-256-1024-True-True-torch.float16]": 0.13716151200000581,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-256-511-False-False-torch.float16]": 0.1619932510000126,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-256-511-False-True-torch.float16]": 0.17062984099999312,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-256-511-True-False-torch.float16]": 0.16582041300000583,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-256-511-True-True-torch.float16]": 0.17587376800000243,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-256-512-False-False-torch.float16]": 0.1341358029999924,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-256-512-False-True-torch.float16]": 0.13693249799999307,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-256-512-True-False-torch.float16]": 0.13552402999999913,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-256-512-True-True-torch.float16]": 0.1400996459999817,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-512-1023-False-False-torch.float16]": 0.18105592400004866,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-512-1023-False-True-torch.float16]": 0.17412063000000444,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-512-1023-True-False-torch.float16]": 0.16566298999998708,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-512-1023-True-True-torch.float16]": 0.17890475900000524,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-512-1024-False-False-torch.float16]": 0.16695071000003736,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-512-1024-False-True-torch.float16]": 0.17026537200004555,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-512-1024-True-False-torch.float16]": 0.16167803300001538,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-512-1024-True-True-torch.float16]": 0.16755982399999425,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-512-511-False-False-torch.float16]": 0.16934171700000888,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-512-511-False-True-torch.float16]": 0.1721667449999984,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-512-511-True-False-torch.float16]": 0.14257341100002918,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-512-511-True-True-torch.float16]": 0.13982191400000943,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-512-512-False-False-torch.float16]": 0.16223500300000637,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-512-512-False-True-torch.float16]": 0.1468269710000243,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-512-512-True-False-torch.float16]": 0.16446783399996434,
-"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-512-512-True-True-torch.float16]": 0.16342565400000808,
-"tests/ops/test_causal_conv1d_lfm2.py::test_op_prefill[2048-128-torch.bfloat16]": 0.002354761999981747,
-"tests/ops/test_causal_conv1d_lfm2.py::test_op_prefill[2048-128-torch.float32]": 0.003990474000005406,
-"tests/ops/test_causal_conv1d_lfm2.py::test_op_prefill[2048-16-torch.bfloat16]": 0.14578403400003026,
-"tests/ops/test_causal_conv1d_lfm2.py::test_op_prefill[2048-16-torch.float32]": 0.18440348100003234,
-"tests/ops/test_causal_conv1d_lfm2.py::test_op_prefill[256-7-torch.bfloat16]": 0.14863136200000326,
-"tests/ops/test_causal_conv1d_lfm2.py::test_op_prefill[256-7-torch.float32]": 0.16455353599997125,
-"tests/ops/test_causal_conv1d_lfm2.py::test_op_prefill[300-33-torch.bfloat16]": 0.14238810100002297,
-"tests/ops/test_causal_conv1d_lfm2.py::test_op_prefill[300-33-torch.float32]": 0.15454987600000436,
-"tests/ops/test_causal_conv1d_lfm2.py::test_op_prefill_matches_update_stepwise": 0.16005512300000646,
-"tests/ops/test_causal_conv1d_lfm2.py::test_op_update[2048-torch.bfloat16]": 0.16433251200004406,
-"tests/ops/test_causal_conv1d_lfm2.py::test_op_update[2048-torch.float32]": 0.17109616300001562,
-"tests/ops/test_causal_conv1d_lfm2.py::test_op_update[256-torch.bfloat16]": 0.002471803000020145,
-"tests/ops/test_causal_conv1d_lfm2.py::test_op_update[256-torch.float32]": 0.0036539409999818417,
-"tests/ops/test_causal_conv1d_lfm2.py::test_op_update[300-torch.bfloat16]": 0.1860871119999956,
-"tests/ops/test_causal_conv1d_lfm2.py::test_op_update[300-torch.float32]": 0.16042178299994703,
-"tests/ops/test_causal_conv1d_lfm2.py::test_op_update_2d_legacy_call[torch.bfloat16]": 0.002684479999999212,
-"tests/ops/test_causal_conv1d_lfm2.py::test_op_update_2d_legacy_call[torch.float32]": 0.003018806999989465,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-K256_V128-bf16]": 34.14555530200002,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-K256_V128-fp32]": 0.0015812930000151937,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-K64_V128-bf16]": 10.833571021000012,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-K64_V128-fp32]": 0.0014093029999742157,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-T100_unaligned-bf16]": 6.455326649999989,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-T100_unaligned-fp32]": 0.0014287489999844638,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-T16-bf16]": 0.24538836800005015,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-T16-fp32]": 0.0015656799999703708,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-T2048_long_seq-bf16]": 12.668593650000048,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-T2048_long_seq-fp32]": 0.0013805789999423723,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-T32_final_state-bf16]": 24.062110378,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-T32_final_state-fp32]": 0.0016605539999829944,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-T37_prime-bf16]": 0.1929992739999875,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-T37_prime-fp32]": 0.0012747449999608307,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-T512_long_seq-bf16]": 12.691462074000015,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-T512_long_seq-fp32]": 0.0016076889999681043,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-T64-bf16]": 0.14346918899997263,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-T64-fp32]": 0.0016348099999845545,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-T65_off_by_1-bf16]": 23.662088204000014,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-T65_off_by_1-fp32]": 0.0011860600000090926,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-chunk32-bf16]": 3.965768204999989,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-chunk32-fp32]": 0.001447255000016412,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-decode-bf16]": 9.062846747000009,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-decode-fp32]": 0.0013245240000401282,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-init_final_state-bf16]": 9.925796228000024,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-init_final_state-fp32]": 0.0013046820000113257,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-l2norm-bf16]": 8.349837508999997,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-l2norm-fp32]": 0.003143040000026076,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-minimal-bf16]": 9.266539973999954,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-minimal-fp32]": 0.0023720459999765353,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-qwen3_5_T10782-bf16]": 2.985642958000028,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-qwen3_5_T10782-fp32]": 0.0012171040000339417,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-K256_V128-bf16]": 155.910470203,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-K256_V128-fp32]": 0.002704043999926853,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-K64_V128-bf16]": 12.9090155990001,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-K64_V128-fp32]": 0.002129796000076567,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-T100_unaligned-bf16]": 0.21871101699991868,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-T100_unaligned-fp32]": 0.0021877420000464554,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-T16-bf16]": 0.15864285800000744,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-T16-fp32]": 0.0013660679999816239,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-T2048_long_seq-bf16]": 0.0011873299999365372,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-T2048_long_seq-fp32]": 0.001046541000050638,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-T32_final_state-bf16]": 10.403869537000048,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-T32_final_state-fp32]": 0.0011562650000200847,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-T37_prime-bf16]": 14.449041041999976,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-T37_prime-fp32]": 0.0016036270000086006,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-T512_long_seq-bf16]": 0.001057639000009658,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-T512_long_seq-fp32]": 0.0012594840000019758,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-T64-bf16]": 0.17224458300006518,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-T64-fp32]": 0.0012783729999910065,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-T65_off_by_1-bf16]": 50.995643884999936,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-T65_off_by_1-fp32]": 0.0012408399999799258,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-chunk32-bf16]": 4.544282572000043,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-chunk32-fp32]": 0.0013325310000027457,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-decode-bf16]": 0.15052829699999393,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-decode-fp32]": 0.0014337850000742947,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-init_final_state-bf16]": 10.182990999000026,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-init_final_state-fp32]": 0.0012344669999606595,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-l2norm-bf16]": 0.001284571000098822,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-l2norm-fp32]": 0.001855837000050542,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-minimal-bf16]": 0.17450942299996086,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-minimal-fp32]": 0.0012786060000280486,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-qwen3_5_T10782-bf16]": 0.0012025940000057744,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-qwen3_5_T10782-fp32]": 0.0010826699999597622,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op_correlated_keys_stable_triangular_solve[cutile-in_kernel_l2]": 3.136417646000041,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op_correlated_keys_stable_triangular_solve[cutile-prenormalized]": 23.267026869000006,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op_correlated_keys_stable_triangular_solve[tilecpp-in_kernel_l2]": 0.0016193160000170792,
-"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op_correlated_keys_stable_triangular_solve[tilecpp-prenormalized]": 11.794935247000069,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[cutile-1024-0.2-False-False-torch.float32-1e-05]": 0.10600968199997851,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[cutile-1024-0.2-False-True-torch.float32-1e-05]": 0.10312861499994597,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[cutile-1024-0.2-True-False-torch.float32-1e-05]": 0.12304907599991566,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[cutile-1024-0.2-True-True-torch.float32-1e-05]": 0.284475719999989,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[cutile-4096-0.4-False-False-torch.float32-1e-05]": 0.13478110599999127,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[cutile-4096-0.4-False-True-torch.float32-1e-05]": 0.10648974299999736,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[cutile-4096-0.4-True-False-torch.float32-1e-05]": 0.16423257499997135,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[cutile-4096-0.4-True-True-torch.float32-1e-05]": 0.2570092930000669,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[cutile-65536-0.8-False-False-torch.float16-1e-05]": 0.16255204199995887,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[cutile-65536-0.8-False-False-torch.float32-1e-05]": 0.12891033799999718,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[cutile-65536-0.8-False-True-torch.float16-1e-05]": 0.13866054499999336,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[cutile-65536-0.8-False-True-torch.float32-1e-05]": 0.1456104319999838,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[cutile-65536-0.8-True-False-torch.float16-1e-05]": 0.14991940299998419,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[cutile-65536-0.8-True-False-torch.float32-1e-05]": 0.17718028699999877,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[cutile-65536-0.8-True-True-torch.float16-1e-05]": 0.24158105699999055,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[cutile-65536-0.8-True-True-torch.float32-1e-05]": 0.33441941999998903,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[tilecpp-1024-0.2-False-False-torch.float32-1e-05]": 0.14920504100001608,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[tilecpp-1024-0.2-False-True-torch.float32-1e-05]": 0.1304247440000097,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[tilecpp-1024-0.2-True-False-torch.float32-1e-05]": 0.1726272129999984,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[tilecpp-1024-0.2-True-True-torch.float32-1e-05]": 0.6701856219999911,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[tilecpp-4096-0.4-False-False-torch.float32-1e-05]": 0.15579314400000044,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[tilecpp-4096-0.4-False-True-torch.float32-1e-05]": 0.15893375199999582,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[tilecpp-4096-0.4-True-False-torch.float32-1e-05]": 0.1483170709999797,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[tilecpp-4096-0.4-True-True-torch.float32-1e-05]": 0.6782191570000009,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[tilecpp-65536-0.8-False-False-torch.float16-1e-05]": 0.14386986900001375,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[tilecpp-65536-0.8-False-False-torch.float32-1e-05]": 0.12917614299999514,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[tilecpp-65536-0.8-False-True-torch.float16-1e-05]": 0.14294584700002133,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[tilecpp-65536-0.8-False-True-torch.float32-1e-05]": 0.15003565300003174,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[tilecpp-65536-0.8-True-False-torch.float16-1e-05]": 0.1805788039999925,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[tilecpp-65536-0.8-True-False-torch.float32-1e-05]": 0.17246527699998637,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[tilecpp-65536-0.8-True-True-torch.float16-1e-05]": 0.6834634180000023,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[tilecpp-65536-0.8-True-True-torch.float32-1e-05]": 0.7500488979999886,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[triton-1024-0.2-False-False-torch.float32-1e-05]": 0.11815156399998727,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[triton-1024-0.2-False-True-torch.float32-1e-05]": 0.12823863099995947,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[triton-1024-0.2-True-False-torch.float32-1e-05]": 0.17775300700003527,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[triton-1024-0.2-True-True-torch.float32-1e-05]": 9.246091336999996,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[triton-4096-0.4-False-False-torch.float32-1e-05]": 0.1250450219999948,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[triton-4096-0.4-False-True-torch.float32-1e-05]": 0.14260297799998511,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[triton-4096-0.4-True-False-torch.float32-1e-05]": 0.1654580550000162,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[triton-4096-0.4-True-True-torch.float32-1e-05]": 2.084688195000041,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[triton-65536-0.8-False-False-torch.float16-1e-05]": 0.15082200499998066,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[triton-65536-0.8-False-False-torch.float32-1e-05]": 0.14133237400000098,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[triton-65536-0.8-False-True-torch.float16-1e-05]": 0.13677736700000764,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[triton-65536-0.8-False-True-torch.float32-1e-05]": 0.13135657199998718,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[triton-65536-0.8-True-False-torch.float16-1e-05]": 0.17651256300004547,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[triton-65536-0.8-True-False-torch.float32-1e-05]": 0.142647654000001,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[triton-65536-0.8-True-True-torch.float16-1e-05]": 7.504311319999971,
-"tests/ops/test_dropout.py::Test_Dropout::test_op[triton-65536-0.8-True-True-torch.float32-1e-05]": 2.0771611730000075,
-"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[cutile-torch.float16-1-119]": 0.32350471100002665,
-"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[cutile-torch.float16-1-256]": 0.7000436390000004,
-"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[cutile-torch.float16-1-8192]": 1.2820395969999936,
-"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[cutile-torch.float16-1-9]": 0.6826970619999599,
-"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[cutile-torch.float16-4-119]": 0.1473952520000239,
-"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[cutile-torch.float16-4-256]": 0.47067152000002466,
-"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[cutile-torch.float16-4-8192]": 1.391928584000027,
-"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[cutile-torch.float16-4-9]": 0.5241932470000279,
-"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[cutile-torch.float16-8-119]": 0.1598726480000039,
-"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[cutile-torch.float16-8-256]": 0.4782751750000216,
-"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[cutile-torch.float16-8-8192]": 0.9217782249999971,
-"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[cutile-torch.float16-8-9]": 0.5442961869999863,
-"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[tilecpp-torch.float16-1-119]": 1.0515643879999743,
-"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[tilecpp-torch.float16-1-256]": 1.0175993309999853,
-"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[tilecpp-torch.float16-1-8192]": 1.6270505610000043,
-"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[tilecpp-torch.float16-1-9]": 1.544888716000031,
-"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[tilecpp-torch.float16-4-119]": 1.0455101689999537,
-"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[tilecpp-torch.float16-4-256]": 1.067287704999984,
-"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[tilecpp-torch.float16-4-8192]": 1.735697559000016,
-"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[tilecpp-torch.float16-4-9]": 1.0380582600000139,
-"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[tilecpp-torch.float16-8-119]": 1.0784166140000195,
-"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[tilecpp-torch.float16-8-256]": 1.0838220349999688,
-"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[tilecpp-torch.float16-8-8192]": 1.7482013030000019,
-"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[tilecpp-torch.float16-8-9]": 1.0194060790000208,
-"tests/ops/test_gemma_attention.py::TestGemmaAttention::test_op[cutile-1-12-4-512-64-256-30.0-True-torch.bfloat16]": 0.0011191919999760103,
-"tests/ops/test_gemma_attention.py::TestGemmaAttention::test_op[cutile-1-8-8-128-64-0-None-False-torch.float16]": 0.0010386120000021037,
-"tests/ops/test_gemma_attention.py::TestGemmaAttention::test_op[cutile-1-8-8-128-64-64-10.0-False-torch.float32]": 0.005305107999987513,
-"tests/ops/test_gemma_attention.py::TestGemmaAttention::test_op[cutile-1-8-8-128-64-64-10.0-True-torch.float16]": 0.0013315279999801533,
-"tests/ops/test_gemma_attention.py::TestGemmaAttention::test_op[tilecpp-1-12-4-512-64-256-30.0-True-torch.bfloat16]": 0.0011517960000162475,
-"tests/ops/test_gemma_attention.py::TestGemmaAttention::test_op[tilecpp-1-8-8-128-64-0-None-False-torch.float16]": 0.0011293390000162162,
-"tests/ops/test_gemma_attention.py::TestGemmaAttention::test_op[tilecpp-1-8-8-128-64-64-10.0-False-torch.float32]": 0.0012595069999576936,
-"tests/ops/test_gemma_attention.py::TestGemmaAttention::test_op[tilecpp-1-8-8-128-64-64-10.0-True-torch.float16]": 0.0011259899999913614,
-"tests/ops/test_gemma_attention_decode.py::TestGemmaAttentionDecode::test_op[cutile-1-8-4-256-64-64-10.0-torch.float16]": 0.0011946310000041649,
-"tests/ops/test_gemma_attention_decode.py::TestGemmaAttentionDecode::test_op[cutile-1-8-8-10019-64-256-50.0-torch.bfloat16]": 0.0011288890000002993,
-"tests/ops/test_gemma_attention_decode.py::TestGemmaAttentionDecode::test_op[cutile-1-8-8-10024-64-0-None-torch.float16]": 0.0010946310000008452,
-"tests/ops/test_gemma_attention_decode.py::TestGemmaAttentionDecode::test_op[cutile-1-8-8-128-64-0-10.0-torch.float16]": 0.0012052550000021256,
-"tests/ops/test_gemma_attention_decode.py::TestGemmaAttentionDecode::test_op[cutile-1-8-8-128-64-0-None-torch.float16]": 0.001140444999975898,
-"tests/ops/test_gemma_attention_decode.py::TestGemmaAttentionDecode::test_op[cutile-1-8-8-256-64-64-10.0-torch.float16]": 0.0010846949999745448,
-"tests/ops/test_gemma_attention_decode.py::TestGemmaAttentionDecode::test_op[tilecpp-1-8-4-256-64-64-10.0-torch.float16]": 0.0010664670000153365,
-"tests/ops/test_gemma_attention_decode.py::TestGemmaAttentionDecode::test_op[tilecpp-1-8-8-10019-64-256-50.0-torch.bfloat16]": 0.0010763829999689278,
-"tests/ops/test_gemma_attention_decode.py::TestGemmaAttentionDecode::test_op[tilecpp-1-8-8-10024-64-0-None-torch.float16]": 0.00102991499997529,
-"tests/ops/test_gemma_attention_decode.py::TestGemmaAttentionDecode::test_op[tilecpp-1-8-8-128-64-0-10.0-torch.float16]": 0.001129451999986486,
-"tests/ops/test_gemma_attention_decode.py::TestGemmaAttentionDecode::test_op[tilecpp-1-8-8-128-64-0-None-torch.float16]": 0.001078420999959917,
-"tests/ops/test_gemma_attention_decode.py::TestGemmaAttentionDecode::test_op[tilecpp-1-8-8-256-64-64-10.0-torch.float16]": 0.001116603999975041,
-"tests/ops/test_group_gemm.py::Test_GroupGemm::test_op[cutile-[1024, 512, 256, 128]-[1024, 512, 256, 128]-[1024, 512, 256, 128]-False-torch.float16]": 4.823688075000035,
-"tests/ops/test_group_gemm.py::Test_GroupGemm::test_op[cutile-[1024, 512, 256, 128]-[1024, 512, 256, 128]-[1024, 512, 256, 128]-True-torch.float16]": 4.650415747000011,
-"tests/ops/test_group_gemm.py::Test_GroupGemm::test_op[cutile-[1024, 512, 256, 128]-[1024, 512, 256, 128]-[128, 128, 128, 128]-False-torch.float16]": 0.24808855499998117,
-"tests/ops/test_group_gemm.py::Test_GroupGemm::test_op[cutile-[1024, 512, 256, 128]-[1024, 512, 256, 128]-[128, 128, 128, 128]-True-torch.float16]": 0.2588787589999697,
-"tests/ops/test_group_gemm.py::Test_GroupGemm::test_op[cutile-[1024, 512, 256, 128]-[128, 128, 128, 128]-[1024, 512, 256, 128]-False-torch.float16]": 0.25241741300004605,
-"tests/ops/test_group_gemm.py::Test_GroupGemm::test_op[cutile-[1024, 512, 256, 128]-[128, 128, 128, 128]-[1024, 512, 256, 128]-True-torch.float16]": 0.23944977399997924,
-"tests/ops/test_group_gemm.py::Test_GroupGemm::test_op[cutile-[1024, 512, 256, 128]-[128, 128, 128, 128]-[128, 128, 128, 128]-False-torch.float16]": 0.23326034099994786,
-"tests/ops/test_group_gemm.py::Test_GroupGemm::test_op[cutile-[1024, 512, 256, 128]-[128, 128, 128, 128]-[128, 128, 128, 128]-True-torch.float16]": 0.2673460400000067,
-"tests/ops/test_group_gemm.py::Test_GroupGemm::test_op[cutile-[256, 256, 256, 256]-[1024, 512, 256, 128]-[1024, 512, 256, 128]-False-torch.float16]": 0.25860433299999386,
-"tests/ops/test_group_gemm.py::Test_GroupGemm::test_op[cutile-[256, 256, 256, 256]-[1024, 512, 256, 128]-[1024, 512, 256, 128]-True-torch.float16]": 0.23226373900001818,
-"tests/ops/test_group_gemm.py::Test_GroupGemm::test_op[cutile-[256, 256, 256, 256]-[1024, 512, 256, 128]-[128, 128, 128, 128]-False-torch.float16]": 0.27472651700003325,
-"tests/ops/test_group_gemm.py::Test_GroupGemm::test_op[cutile-[256, 256, 256, 256]-[1024, 512, 256, 128]-[128, 128, 128, 128]-True-torch.float16]": 0.2816166019999855,
-"tests/ops/test_group_gemm.py::Test_GroupGemm::test_op[cutile-[256, 256, 256, 256]-[128, 128, 128, 128]-[1024, 512, 256, 128]-False-torch.float16]": 0.2635969389999673,
-"tests/ops/test_group_gemm.py::Test_GroupGemm::test_op[cutile-[256, 256, 256, 256]-[128, 128, 128, 128]-[1024, 512, 256, 128]-True-torch.float16]": 0.3072191029999658,
-"tests/ops/test_group_gemm.py::Test_GroupGemm::test_op[cutile-[256, 256, 256, 256]-[128, 128, 128, 128]-[128, 128, 128, 128]-False-torch.float16]": 0.28163740799993775,
-"tests/ops/test_group_gemm.py::Test_GroupGemm::test_op[cutile-[256, 256, 256, 256]-[128, 128, 128, 128]-[128, 128, 128, 128]-True-torch.float16]": 0.26203032399996573,
-"tests/ops/test_layer_norm.py::Test_LayerNorm2D::test_op[cutile-1004-2456-1.0-torch.float16]": 0.5494645040000137,
-"tests/ops/test_layer_norm.py::Test_LayerNorm2D::test_op[cutile-256-256-0.0-torch.float16]": 0.3738701210000386,
-"tests/ops/test_layer_norm.py::Test_LayerNorm2D::test_op[cutile-256-256-1.0-torch.float16]": 0.328458339000008,
-"tests/ops/test_layer_norm.py::Test_LayerNorm2D::test_op[cutile-512-256-0.0-torch.float32]": 0.3181496260000358,
-"tests/ops/test_layer_norm.py::Test_LayerNorm2D::test_op[cutile-9-9-0.0-torch.float16]": 0.3062416309999776,
-"tests/ops/test_layer_norm.py::Test_LayerNormNCHW::test_op[cutile-2-512-256-0.0-torch.float16]": 3.5908276599999454,
-"tests/ops/test_layer_norm.py::Test_LayerNormNCHW::test_op[cutile-256-256-128-1.0-torch.float16]": 1.017027594999945,
-"tests/ops/test_layer_norm.py::Test_LayerNormNCHW::test_op[cutile-512-256-128-0.0-torch.float32]": 1.2306447869999602,
-"tests/ops/test_layer_norm_legacy.py::Test_LayerNorm::test_op[cutile-256-256-0.0-torch.float16]": 0.3008881070000484,
-"tests/ops/test_layer_norm_legacy.py::Test_LayerNorm::test_op[cutile-256-256-0.0-torch.float32]": 0.35648271999997405,
-"tests/ops/test_layer_norm_legacy.py::Test_LayerNorm::test_op[cutile-256-256-1.0-torch.float16]": 0.33240054300000565,
-"tests/ops/test_layer_norm_legacy.py::Test_LayerNorm::test_op[cutile-9-9-0.0-torch.float16]": 0.34555510600000616,
-"tests/ops/test_layer_norm_legacy.py::Test_LayerNorm::test_op[tilecpp-256-256-0.0-torch.float16]": 0.6820813040000075,
-"tests/ops/test_layer_norm_legacy.py::Test_LayerNorm::test_op[tilecpp-256-256-0.0-torch.float32]": 0.7703972080000199,
-"tests/ops/test_layer_norm_legacy.py::Test_LayerNorm::test_op[tilecpp-256-256-1.0-torch.float16]": 0.17498283499998024,
-"tests/ops/test_layer_norm_legacy.py::Test_LayerNorm::test_op[tilecpp-9-9-0.0-torch.float16]": 0.6577410070000269,
-"tests/ops/test_layer_norm_legacy.py::Test_LayerNorm::test_op[triton-256-256-0.0-torch.float16]": 11.253448165999998,
-"tests/ops/test_layer_norm_legacy.py::Test_LayerNorm::test_op[triton-256-256-0.0-torch.float32]": 11.101862406999999,
-"tests/ops/test_layer_norm_legacy.py::Test_LayerNorm::test_op[triton-256-256-1.0-torch.float16]": 0.16244572299996207,
-"tests/ops/test_layer_norm_legacy.py::Test_LayerNorm::test_op[triton-9-9-0.0-torch.float16]": 12.96100288499997,
-"tests/ops/test_layer_norm_legacy.py::Test_PersistentLayerNorm::test_op[cutile-1024-1024-torch.bfloat16]": 5.294113060000029,
-"tests/ops/test_layer_norm_legacy.py::Test_PersistentLayerNorm::test_op[cutile-256-256-torch.bfloat16]": 3.4596467300000313,
-"tests/ops/test_layer_norm_legacy.py::Test_PersistentLayerNorm::test_op[cutile-30000-1024-torch.bfloat16]": 5.48426538800004,
-"tests/ops/test_layer_norm_legacy.py::Test_PersistentLayerNorm::test_op[cutile-4096-512-torch.bfloat16]": 4.682026176000079,
-"tests/ops/test_layer_norm_legacy.py::Test_PersistentLayerNorm::test_op[tilecpp-1024-1024-torch.bfloat16]": 0.0011270310000099926,
-"tests/ops/test_layer_norm_legacy.py::Test_PersistentLayerNorm::test_op[tilecpp-256-256-torch.bfloat16]": 3.7539826459999404,
-"tests/ops/test_layer_norm_legacy.py::Test_PersistentLayerNorm::test_op[tilecpp-30000-1024-torch.bfloat16]": 0.001112988000045334,
-"tests/ops/test_layer_norm_legacy.py::Test_PersistentLayerNorm::test_op[tilecpp-4096-512-torch.bfloat16]": 4.5028097939999725,
-"tests/ops/test_layer_norm_legacy.py::Test_PersistentLayerNorm::test_op[triton-1024-1024-torch.bfloat16]": 15.339369932000011,
-"tests/ops/test_layer_norm_legacy.py::Test_PersistentLayerNorm::test_op[triton-256-256-torch.bfloat16]": 9.014357998000037,
-"tests/ops/test_layer_norm_legacy.py::Test_PersistentLayerNorm::test_op[triton-30000-1024-torch.bfloat16]": 2.3042934439999954,
-"tests/ops/test_layer_norm_legacy.py::Test_PersistentLayerNorm::test_op[triton-4096-512-torch.bfloat16]": 13.353810894000048,
-"tests/ops/test_linear_gluact_linear.py::Test_LinearGluactLinear::test_op[cutile-1024-1024-1023-silu-torch.float32]": 0.0010109479999869109,
-"tests/ops/test_linear_gluact_linear.py::Test_LinearGluactLinear::test_op[cutile-1024-1024-1024-relu-torch.float32]": 0.0012960020000605255,
-"tests/ops/test_linear_gluact_linear.py::Test_LinearGluactLinear::test_op[cutile-1024-1024-1024-silu-torch.float32]": 0.0009952429999771084,
-"tests/ops/test_linear_gluact_linear.py::Test_LinearGluactLinear::test_op[cutile-1024-1024-512-gelu_tanh-torch.float32]": 0.001016684000035184,
-"tests/ops/test_linear_gluact_linear.py::Test_LinearGluactLinear::test_op[cutile-512-512-256-silu-torch.float16]": 0.0010190999999508676,
-"tests/ops/test_mamba2.py::Test_Mamba2_ChunkBackward::test_op[cutile-T192-bf16]": 10.804827638999996,
-"tests/ops/test_mamba2.py::Test_Mamba2_ChunkBackward::test_op[cutile-batch2-bf16]": 161.24556553899993,
-"tests/ops/test_mamba2.py::Test_Mamba2_ChunkBackward::test_op[cutile-chunk128-ungrouped-bf16]": 877.0460355159998,
-"tests/ops/test_mamba2.py::Test_Mamba2_ChunkBackward::test_op[cutile-groups2-bf16]": 181.31275430799997,
-"tests/ops/test_mamba2.py::Test_Mamba2_ChunkBackward::test_op[cutile-large-bf16]": 313.236688532,
-"tests/ops/test_mamba2.py::Test_Mamba2_ChunkBackward::test_op[cutile-minimal-bf16]": 179.96462089800002,
-"tests/ops/test_mamba2.py::Test_Mamba2_ChunkBackward::test_op[cutile-single-chunk-bf16]": 224.72569259199997,
-"tests/ops/test_mamba2.py::Test_Mamba2_ChunkBackward::test_op[cutile-standard-bf16]": 391.21901491000017,
-"tests/ops/test_mamba2.py::Test_Mamba2_ChunkBackward::test_op[cutile-three-chunks-bf16]": 479.93455014300014,
-"tests/ops/test_mamba2.py::Test_Mamba2_ChunkForward::test_op[cutile-T192-bf16]": 1.721914646000073,
-"tests/ops/test_mamba2.py::Test_Mamba2_ChunkForward::test_op[cutile-batch2-bf16]": 1.8996541239999942,
-"tests/ops/test_mamba2.py::Test_Mamba2_ChunkForward::test_op[cutile-chunk128-ungrouped-bf16]": 239.46483165799998,
-"tests/ops/test_mamba2.py::Test_Mamba2_ChunkForward::test_op[cutile-groups2-bf16]": 33.04401553600002,
-"tests/ops/test_mamba2.py::Test_Mamba2_ChunkForward::test_op[cutile-large-bf16]": 115.46924479899997,
-"tests/ops/test_mamba2.py::Test_Mamba2_ChunkForward::test_op[cutile-minimal-bf16]": 36.718328801999974,
-"tests/ops/test_mamba2.py::Test_Mamba2_ChunkForward::test_op[cutile-single-chunk-bf16]": 35.89636320500006,
-"tests/ops/test_mamba2.py::Test_Mamba2_ChunkForward::test_op[cutile-standard-bf16]": 69.79899464399995,
-"tests/ops/test_mamba2.py::Test_Mamba2_ChunkForward::test_op[cutile-three-chunks-bf16]": 4.973912800999869,
-"tests/ops/test_matmul.py::Test_Matmul::test_op[cutile-use_tma=True-static_persistent=False-1024-1024-1023-0-0-False-False-torch.bfloat16]": 0.001698712000006708,
-"tests/ops/test_matmul.py::Test_Matmul::test_op[cutile-use_tma=True-static_persistent=False-1024-1024-1024-0-0-False-False-torch.bfloat16]": 1.0313245700001517,
-"tests/ops/test_matmul.py::Test_Matmul::test_op[cutile-use_tma=True-static_persistent=False-3072-6144-2720-0-0-False-False-torch.bfloat16]": 0.00171145499996328,
-"tests/ops/test_matmul.py::Test_Matmul::test_op[cutile-use_tma=True-static_persistent=False-8-8-8-0-0-False-False-torch.bfloat16]": 1.1512047339999754,
-"tests/ops/test_matmul.py::Test_Matmul::test_op[cutile-use_tma=True-static_persistent=False-8192-8192-8192-0-0-False-False-torch.bfloat16]": 0.0013581960000692561,
-"tests/ops/test_matmul.py::Test_Matmul::test_op[cutile-use_tma=True-static_persistent=True-1024-1024-1023-0-0-False-False-torch.bfloat16]": 0.0013425549996100017,
-"tests/ops/test_matmul.py::Test_Matmul::test_op[cutile-use_tma=True-static_persistent=True-1024-1024-1024-0-0-False-False-torch.bfloat16]": 10.627573303999952,
-"tests/ops/test_matmul.py::Test_Matmul::test_op[cutile-use_tma=True-static_persistent=True-3072-6144-2720-0-0-False-False-torch.bfloat16]": 0.0016117840002607409,
-"tests/ops/test_matmul.py::Test_Matmul::test_op[cutile-use_tma=True-static_persistent=True-8-8-8-0-0-False-False-torch.bfloat16]": 10.36533936800015,
-"tests/ops/test_matmul.py::Test_Matmul::test_op[cutile-use_tma=True-static_persistent=True-8192-8192-8192-0-0-False-False-torch.bfloat16]": 0.003381121999836978,
-"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=False-static_persistent=False-1024-1024-1023-0-0-False-False-torch.bfloat16]": 0.0013912989999198544,
-"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=False-static_persistent=False-1024-1024-1024-0-0-False-False-torch.bfloat16]": 0.15971269700003177,
-"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=False-static_persistent=False-3072-6144-2720-0-0-False-False-torch.bfloat16]": 0.0012407720000737754,
-"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=False-static_persistent=False-8-8-8-0-0-False-False-torch.bfloat16]": 0.16769766000015807,
-"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=False-static_persistent=False-8192-8192-8192-0-0-False-False-torch.bfloat16]": 0.0011982819997911065,
-"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=False-static_persistent=True-1024-1024-1023-0-0-False-False-torch.bfloat16]": 0.0015493289998858017,
-"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=False-static_persistent=True-1024-1024-1024-0-0-False-False-torch.bfloat16]": 0.20144192200007183,
-"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=False-static_persistent=True-3072-6144-2720-0-0-False-False-torch.bfloat16]": 0.0017590199998949174,
-"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=False-static_persistent=True-8-8-8-0-0-False-False-torch.bfloat16]": 0.1831429469999648,
-"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=False-static_persistent=True-8192-8192-8192-0-0-False-False-torch.bfloat16]": 0.001498214999855918,
-"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=True-static_persistent=False-1024-1024-1023-0-0-False-False-torch.bfloat16]": 0.0014956019999772252,
-"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=True-static_persistent=False-1024-1024-1024-0-0-False-False-torch.bfloat16]": 1.9926009859999567,
-"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=True-static_persistent=False-3072-6144-2720-0-0-False-False-torch.bfloat16]": 0.0054366379999919445,
-"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=True-static_persistent=False-8-8-8-0-0-False-False-torch.bfloat16]": 1.6953474650000544,
-"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=True-static_persistent=False-8192-8192-8192-0-0-False-False-torch.bfloat16]": 0.003446745000019291,
-"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=True-static_persistent=True-1024-1024-1023-0-0-False-False-torch.bfloat16]": 0.0014867109999840977,
-"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=True-static_persistent=True-1024-1024-1024-0-0-False-False-torch.bfloat16]": 84.14775664899992,
-"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=True-static_persistent=True-3072-6144-2720-0-0-False-False-torch.bfloat16]": 0.0012711430000535984,
-"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=True-static_persistent=True-8-8-8-0-0-False-False-torch.bfloat16]": 7.202428507000036,
-"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=True-static_persistent=True-8192-8192-8192-0-0-False-False-torch.bfloat16]": 0.0012883059999921898,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(2112, 7168)-256]": 32.49781374899976,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(2112, 7168)-32]": 13.538739293000162,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(24576, 1536)-256]": 29.007181547000073,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(24576, 1536)-32]": 13.426156044000209,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(24576, 7168)-256]": 32.78087770600018,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(24576, 7168)-32]": 13.454600078000112,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(3072, 1536)-256]": 29.490369185999953,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(3072, 1536)-32]": 13.47194484900001,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(32768, 512)-256]": 29.38135245500007,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(32768, 512)-32]": 12.218179340999995,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(36864, 7168)-256]": 32.93394729400006,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(36864, 7168)-32]": 13.581952347999732,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(4096, 7168)-256]": 32.560232521000216,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(4096, 7168)-32]": 13.414814254999783,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(576, 7168)-256]": 32.528902315000096,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(576, 7168)-32]": 13.73043925800016,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(7168, 16384)-256]": 40.83039530800011,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(7168, 16384)-32]": 16.118425183,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(7168, 18432)-256]": 43.54673422000019,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(7168, 18432)-32]": 16.91739924699982,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(7168, 2048)-256]": 31.793723662000275,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(7168, 2048)-32]": 15.399739515999954,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(7168, 256)-256]": 23.483363388000043,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(7168, 256)-32]": 8.968021157000067,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(2112, 7168)-256]": 28.983329069000092,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(2112, 7168)-32]": 11.794444148000025,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(24576, 1536)-256]": 20.429700571999888,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(24576, 1536)-32]": 9.14575155099999,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(24576, 7168)-256]": 29.463368593000155,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(24576, 7168)-32]": 11.783363923000024,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(3072, 1536)-256]": 20.645027264000078,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(3072, 1536)-32]": 8.958560648999992,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(32768, 512)-256]": 23.11345385700008,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(32768, 512)-32]": 10.167612499000143,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(36864, 7168)-256]": 29.790265470000122,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(36864, 7168)-32]": 11.407197665999888,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(4096, 7168)-256]": 28.928131410999868,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(4096, 7168)-32]": 11.467979963999937,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(576, 7168)-256]": 29.25809813800015,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(576, 7168)-32]": 11.33160093899994,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(7168, 16384)-256]": 42.86505574899991,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(7168, 16384)-32]": 15.579708902999982,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(7168, 18432)-256]": 45.94461435100004,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(7168, 18432)-32]": 15.96079606800015,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(7168, 2048)-256]": 21.447045315999958,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(7168, 2048)-32]": 9.517716336000035,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(7168, 256)-256]": 18.38246466800001,
-"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(7168, 256)-32]": 8.032651425999802,
-"tests/ops/test_mla.py::Test_MLA::test_op[cutile-1-64-64-torch.bfloat16-False]": 0.0020341000001735665,
-"tests/ops/test_mla.py::Test_MLA::test_op[cutile-1-64-64-torch.bfloat16-True]": 0.0019466869998723269,
-"tests/ops/test_mla.py::Test_MLA::test_op[cutile-4-64-64-torch.bfloat16-False]": 0.0018147729999782314,
-"tests/ops/test_mla.py::Test_MLA::test_op[cutile-4-64-64-torch.bfloat16-True]": 0.0019567249998999614,
-"tests/ops/test_mla.py::Test_MLA::test_op[tilecpp-1-64-64-torch.bfloat16-False]": 0.0014123959997505153,
-"tests/ops/test_mla.py::Test_MLA::test_op[tilecpp-1-64-64-torch.bfloat16-True]": 0.003017515999999887,
-"tests/ops/test_mla.py::Test_MLA::test_op[tilecpp-4-64-64-torch.bfloat16-False]": 0.0019464560000415077,
-"tests/ops/test_mla.py::Test_MLA::test_op[tilecpp-4-64-64-torch.bfloat16-True]": 0.0012725459998819133,
-"tests/ops/test_mla_decoding.py::Test_MLADecoding::test_op[cutile-512-64-torch.float16-128-False]": 0.0012992409997423238,
-"tests/ops/test_mla_decoding.py::Test_MLADecoding::test_op[cutile-512-64-torch.float16-16-True]": 1.2001498469999206,
-"tests/ops/test_mla_decoding.py::Test_MLADecoding::test_op[cutile-512-64-torch.float16-32-True]": 0.1901744800002234,
-"tests/ops/test_mla_decoding.py::Test_MLADecoding::test_op[cutile-512-64-torch.float16-64-False]": 0.0013748809999469813,
-"tests/ops/test_mla_decoding.py::Test_MLADecoding::test_op[tilecpp-512-64-torch.float16-128-False]": 0.184531490000154,
-"tests/ops/test_mla_decoding.py::Test_MLADecoding::test_op[tilecpp-512-64-torch.float16-16-True]": 1.4238348310002493,
-"tests/ops/test_mla_decoding.py::Test_MLADecoding::test_op[tilecpp-512-64-torch.float16-32-True]": 0.2481551829998807,
-"tests/ops/test_mla_decoding.py::Test_MLADecoding::test_op[tilecpp-512-64-torch.float16-64-False]": 0.1949527140002374,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-128-1024-16]": 5.111274784999978,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-128-1024-24]": 0.3534702060001109,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-128-1024-32]": 0.41331570999977885,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-128-1024-8]": 5.141728450999835,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-128-11049-16]": 4.298023443999909,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-128-11049-24]": 0.5759332840000297,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-128-11049-32]": 0.592321634999962,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-128-11049-8]": 4.281424561999984,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-128-129-16]": 4.106049649999932,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-128-129-24]": 0.41871581000032165,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-128-129-32]": 0.37227775299970745,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-128-129-8]": 4.008528389000048,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-128-8192-16]": 5.21658285500007,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-128-8192-24]": 0.5466707989999122,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-128-8192-32]": 0.5083783029995175,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-128-8192-8]": 5.209214628999916,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-512-1024-16]": 5.402807623000172,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-512-1024-24]": 0.3764936580000722,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-512-1024-32]": 0.3417966939998678,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-512-1024-8]": 5.39418216099989,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-512-11049-16]": 4.444225918000029,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-512-11049-24]": 0.4716659189998609,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-512-11049-32]": 0.43988633000003574,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-512-11049-8]": 4.401701700000103,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-512-129-16]": 4.372601151999788,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-512-129-24]": 4.1178118229997835,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-512-129-32]": 4.163751423999884,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-512-129-8]": 4.1696929400000045,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-512-8192-16]": 5.34822609999992,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-512-8192-24]": 0.44554770700005975,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-512-8192-32]": 0.4111638379999931,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-512-8192-8]": 5.410659229999965,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-128-1024-16]": 9.229566682000012,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-128-1024-24]": 9.135035447000007,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-128-1024-32]": 8.626214437999977,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-128-1024-8]": 9.186324478000017,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-128-11049-16]": 11.025601180000024,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-128-11049-24]": 10.919905671999999,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-128-11049-32]": 11.102441306000003,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-128-11049-8]": 11.017078188,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-128-129-16]": 11.656021877000057,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-128-129-24]": 11.34404866999995,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-128-129-32]": 10.773276414000009,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-128-129-8]": 11.841301876999978,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-128-8192-16]": 9.205838904000018,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-128-8192-24]": 9.293325793000008,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-128-8192-32]": 9.240028266999985,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-128-8192-8]": 9.310271812999957,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-512-1024-16]": 8.510449563000009,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-512-1024-24]": 8.997751401000016,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-512-1024-32]": 8.573211183000012,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-512-1024-8]": 9.13697672099994,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-512-11049-16]": 10.756421154000009,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-512-11049-24]": 10.78809905299994,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-512-11049-32]": 10.749918768999976,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-512-11049-8]": 10.68771011299998,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-512-129-16]": 10.24273523900007,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-512-129-24]": 10.770225883000023,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-512-129-32]": 10.237921552999978,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-512-129-8]": 10.833573743000045,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-512-8192-16]": 8.656009664999942,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-512-8192-24]": 9.112559836000003,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-512-8192-32]": 8.466501827999991,
-"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-512-8192-8]": 9.07810792700002,
-"tests/ops/test_moe.py::Test_MOE::test_op[cutile-torch.bfloat16-16-512-256-8-2]": 3.3310526930000037,
-"tests/ops/test_moe.py::Test_MOE::test_op[cutile-torch.bfloat16-32-1024-512-16-4]": 3.0324626290000083,
-"tests/ops/test_moe.py::Test_MOE::test_op[cutile-torch.bfloat16-64-1024-512-20-8]": 2.3785154160000843,
-"tests/ops/test_moe.py::Test_MOE::test_op[cutile-torch.float8_e4m3fn-16-512-256-8-2]": 0.001043299000002662,
-"tests/ops/test_moe.py::Test_MOE::test_op[cutile-torch.float8_e4m3fn-32-1024-512-16-4]": 0.004343569000070602,
-"tests/ops/test_moe.py::Test_MOE::test_op[cutile-torch.float8_e4m3fn-64-1024-512-20-8]": 0.000974563999932343,
-"tests/ops/test_moe.py::Test_MOE::test_op[tilecpp-torch.bfloat16-16-512-256-8-2]": 4.471029261000012,
-"tests/ops/test_moe.py::Test_MOE::test_op[tilecpp-torch.bfloat16-32-1024-512-16-4]": 4.344379652999976,
-"tests/ops/test_moe.py::Test_MOE::test_op[tilecpp-torch.bfloat16-64-1024-512-20-8]": 4.000724627000011,
-"tests/ops/test_moe.py::Test_MOE::test_op[tilecpp-torch.float8_e4m3fn-16-512-256-8-2]": 3.1618766749999736,
-"tests/ops/test_moe.py::Test_MOE::test_op[tilecpp-torch.float8_e4m3fn-32-1024-512-16-4]": 2.6574041160000093,
-"tests/ops/test_moe.py::Test_MOE::test_op[tilecpp-torch.float8_e4m3fn-64-1024-512-20-8]": 2.616043191000017,
-"tests/ops/test_moe_actgrad_bwd.py::Test_MoEActgradBwd::test_op[cutile-torch.bfloat16-2048-4096-1024-64-4-swiglu]": 0.25567506199996615,
-"tests/ops/test_moe_actgrad_bwd.py::Test_MoEActgradBwd::test_op[cutile-torch.bfloat16-4096-2048-1408-60-4-swiglu]": 3.6229077520000033,
-"tests/ops/test_moe_actgrad_bwd.py::Test_MoEActgradBwd::test_op[cutile-torch.bfloat16-4096-4096-1024-64-1-swiglu]": 0.24448472300002777,
-"tests/ops/test_moe_actgrad_bwd.py::Test_MoEActgradBwd::test_op[cutile-torch.bfloat16-4096-4096-1024-64-2-swiglu]": 0.24423519100008662,
-"tests/ops/test_moe_actgrad_bwd.py::Test_MoEActgradBwd::test_op[cutile-torch.bfloat16-4096-4096-1024-64-4-geglu]": 4.193745909000029,
-"tests/ops/test_moe_actgrad_bwd.py::Test_MoEActgradBwd::test_op[cutile-torch.bfloat16-4096-4096-1024-64-4-gelu]": 3.8971774409999966,
-"tests/ops/test_moe_actgrad_bwd.py::Test_MoEActgradBwd::test_op[cutile-torch.bfloat16-4096-4096-1024-64-4-reglu]": 3.2698521379999193,
-"tests/ops/test_moe_actgrad_bwd.py::Test_MoEActgradBwd::test_op[cutile-torch.bfloat16-4096-4096-1024-64-4-relu]": 7.562132537000082,
-"tests/ops/test_moe_actgrad_bwd.py::Test_MoEActgradBwd::test_op[cutile-torch.bfloat16-4096-4096-1024-64-4-relu_sq]": 2.8426037949999454,
-"tests/ops/test_moe_actgrad_bwd.py::Test_MoEActgradBwd::test_op[cutile-torch.bfloat16-4096-4096-1024-64-4-silu]": 3.114225627000053,
-"tests/ops/test_moe_actgrad_bwd.py::Test_MoEActgradBwd::test_op[cutile-torch.bfloat16-4096-4096-1024-64-4-swiglu]": 3.7158022960000494,
-"tests/ops/test_moe_actgrad_bwd.py::Test_MoEActgradBwd::test_op[cutile-torch.bfloat16-512-4096-1024-64-4-swiglu]": 0.27245957100001306,
-"tests/ops/test_moe_actgrad_bwd.py::Test_MoEActgradBwd::test_op[cutile-torch.bfloat16-512-4096-14336-8-2-swiglu]": 3.4785575760000143,
-"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[cutile-K64_V128-bf16]": 0.0944921919999615,
-"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[cutile-K64_V128-fp32]": 0.11989236199997322,
-"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[cutile-T16-bf16]": 0.7590508840000325,
-"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[cutile-T16-fp32]": 0.7022301830000401,
-"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[cutile-T32_final_state-bf16]": 0.5697278220000044,
-"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[cutile-T32_final_state-fp32]": 0.5258810839999342,
-"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[cutile-T64-bf16]": 0.8684368080000695,
-"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[cutile-T64-fp32]": 0.7964047049999863,
-"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[cutile-decode-bf16]": 0.3758204299999761,
-"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[cutile-decode-fp32]": 0.44204002100002526,
-"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[cutile-init_final_state-bf16]": 0.8966458699999293,
-"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[cutile-init_final_state-fp32]": 0.8668302309999376,
-"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[cutile-l2norm-bf16]": 5.270891509999956,
-"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[cutile-l2norm-fp32]": 4.935244673,
-"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[cutile-minimal-bf16]": 0.3588850020000791,
-"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[cutile-minimal-fp32]": 0.35174359699999513,
-"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[cutile-qwen35_cached_decode-bf16]": 0.4550857750000432,
-"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[cutile-qwen35_cached_decode-fp32]": 0.4618742570000336,
-"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[tilecpp-K64_V128-bf16]": 0.08981612699994912,
-"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[tilecpp-K64_V128-fp32]": 0.11608774400019684,
-"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[tilecpp-T16-bf16]": 0.111798244000056,
-"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[tilecpp-T16-fp32]": 0.13481082200007677,
-"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[tilecpp-T32_final_state-bf16]": 331.2584225370001,
-"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[tilecpp-T32_final_state-fp32]": 344.613440128,
-"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[tilecpp-T64-bf16]": 0.11896196199995757,
-"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[tilecpp-T64-fp32]": 0.11737765499992747,
-"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[tilecpp-decode-bf16]": 10.170637780999982,
-"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[tilecpp-decode-fp32]": 10.317554508999933,
-"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[tilecpp-init_final_state-bf16]": 1.1770028390001244,
-"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[tilecpp-init_final_state-fp32]": 1.0601740890001565,
-"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[tilecpp-l2norm-bf16]": 170.04219274799993,
-"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[tilecpp-l2norm-fp32]": 173.5755498860001,
-"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[tilecpp-minimal-bf16]": 0.08769486300002427,
-"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[tilecpp-minimal-fp32]": 0.1150568209998255,
-"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[tilecpp-qwen35_cached_decode-bf16]": 1.99039623200008,
-"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[tilecpp-qwen35_cached_decode-fp32]": 2.083069488000092,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-None-256-18432-torch.float16]": 0.0012145189998591377,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-None-256-256-torch.float16]": 0.1696859180001411,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-None-256-256-torch.float32]": 0.2359799460000147,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-None-256-768-torch.float16]": 0.12880516200038983,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-None-31072-4096-torch.bfloat16]": 1.4639302070000042,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-None-4096-256-torch.bfloat16]": 0.1132105149997642,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-multi_wave_cached-256-18432-torch.float16]": 0.4872019570000248,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-multi_wave_cached-256-256-torch.float16]": 0.21862747899999135,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-multi_wave_cached-256-256-torch.float32]": 0.24752594900002123,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-multi_wave_cached-256-768-torch.float16]": 0.24735752400002298,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-multi_wave_cached-31072-4096-torch.bfloat16]": 0.3011879190000002,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-multi_wave_cached-4096-256-torch.bfloat16]": 0.21710307500001136,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-multi_wave_reload-256-18432-torch.float16]": 0.29643030900001577,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-multi_wave_reload-256-256-torch.float16]": 0.24406993800002397,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-multi_wave_reload-256-256-torch.float32]": 0.13890164800002935,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-multi_wave_reload-256-768-torch.float16]": 0.23419750399997952,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-multi_wave_reload-31072-4096-torch.bfloat16]": 0.323552253999992,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-multi_wave_reload-4096-256-torch.bfloat16]": 0.2240291719999732,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-static_persistent-256-18432-torch.float16]": 0.0011949980000451887,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-static_persistent-256-256-torch.float16]": 0.37197888000000034,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-static_persistent-256-256-torch.float32]": 1.0194483619999914,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-static_persistent-256-768-torch.float16]": 0.47905888299999333,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-static_persistent-31072-4096-torch.bfloat16]": 0.19357722199998761,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-static_persistent-4096-256-torch.bfloat16]": 0.32574264699999844,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-None-256-18432-torch.float16]": 0.002929114999972171,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-None-256-256-torch.float16]": 0.5408393470000021,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-None-256-256-torch.float32]": 0.6084590489999755,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-None-256-768-torch.float16]": 0.5846969469999976,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-None-31072-4096-torch.bfloat16]": 0.8514233310000066,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-None-4096-256-torch.bfloat16]": 0.6863244209999948,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-multi_wave_cached-256-18432-torch.float16]": 1.3319542580000245,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-multi_wave_cached-256-256-torch.float16]": 0.6493585289999828,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-multi_wave_cached-256-256-torch.float32]": 0.6087032510000085,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-multi_wave_cached-256-768-torch.float16]": 0.6259870350000085,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-multi_wave_cached-31072-4096-torch.bfloat16]": 0.7394776460000401,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-multi_wave_cached-4096-256-torch.bfloat16]": 0.6123646499999893,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-multi_wave_reload-256-18432-torch.float16]": 0.6224892939999904,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-multi_wave_reload-256-256-torch.float16]": 0.12179033900002878,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-multi_wave_reload-256-256-torch.float32]": 0.13575751100000844,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-multi_wave_reload-256-768-torch.float16]": 0.10379648599999314,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-multi_wave_reload-31072-4096-torch.bfloat16]": 0.6483690700000295,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-multi_wave_reload-4096-256-torch.bfloat16]": 0.6563800810000089,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-static_persistent-256-18432-torch.float16]": 0.0008712070000171934,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-static_persistent-256-256-torch.float16]": 0.001057717999998431,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-static_persistent-256-256-torch.float32]": 0.0008653339999966647,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-static_persistent-256-768-torch.float16]": 0.0008966770000142787,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-static_persistent-31072-4096-torch.bfloat16]": 0.0008580689999746482,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-static_persistent-4096-256-torch.bfloat16]": 0.0010249529999839524,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-None-256-18432-torch.float16]": 0.0011245509999753267,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-None-256-256-torch.float16]": 0.8841533060000017,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-None-256-256-torch.float32]": 0.23945403300001544,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-None-256-768-torch.float16]": 0.21268305399999576,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-None-31072-4096-torch.bfloat16]": 30.827323769999964,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-None-4096-256-torch.bfloat16]": 13.928867408000002,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-multi_wave_cached-256-18432-torch.float16]": 0.0013475350000078379,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-multi_wave_cached-256-256-torch.float16]": 0.0014474250000091615,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-multi_wave_cached-256-256-torch.float32]": 0.002251696000001857,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-multi_wave_cached-256-768-torch.float16]": 0.0014555979999784086,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-multi_wave_cached-31072-4096-torch.bfloat16]": 0.001312339000008933,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-multi_wave_cached-4096-256-torch.bfloat16]": 0.0013641810000137866,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-multi_wave_reload-256-18432-torch.float16]": 0.26333220500001175,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-multi_wave_reload-256-256-torch.float16]": 0.12676082199999428,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-multi_wave_reload-256-256-torch.float32]": 0.18360238200000367,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-multi_wave_reload-256-768-torch.float16]": 0.10419208799999069,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-multi_wave_reload-31072-4096-torch.bfloat16]": 0.28105024699999603,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-multi_wave_reload-4096-256-torch.bfloat16]": 0.217673321999996,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-static_persistent-256-18432-torch.float16]": 0.0011155560000304376,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-static_persistent-256-256-torch.float16]": 14.766655014000008,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-static_persistent-256-256-torch.float32]": 19.013794836999978,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-static_persistent-256-768-torch.float16]": 19.435050625000002,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-static_persistent-31072-4096-torch.bfloat16]": 0.1415303659999836,
-"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-static_persistent-4096-256-torch.bfloat16]": 0.13187533399997164,
-"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.bfloat16-0.01-0.01-1-128-32-32-128-0.5]": 0.0008799309999858451,
-"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.bfloat16-0.01-0.01-1-128-32-32-64-1.0]": 0.000987414999997327,
-"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.bfloat16-0.01-0.01-1-128-32-8-256-0.25]": 0.0009195720000150231,
-"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.bfloat16-0.01-0.01-1-128-32-8-64-1.0]": 0.0010028190000355153,
-"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.bfloat16-0.01-0.01-2-128-32-32-64-1.0]": 0.0017341329999851496,
-"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.bfloat16-0.01-0.01-2-128-32-8-128-0.5]": 0.0010293119999857936,
-"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.bfloat16-0.01-0.01-2-128-32-8-256-0.25]": 0.0008811890000117728,
-"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.bfloat16-0.01-0.01-2-128-32-8-64-1.0]": 0.0008969820000004347,
-"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.bfloat16-0.01-0.01-3-423-73-155-92-1.0]": 0.00030910299997799484,
-"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.bfloat16-0.01-0.01-3-423-73-213-92-1.0]": 0.00033604499998318715,
-"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.float32-1e_05-1e_05-1-128-32-32-128-0.5]": 0.25279559800000584,
-"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.float32-1e_05-1e_05-1-128-32-32-64-1.0]": 0.42817829400001983,
-"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.float32-1e_05-1e_05-1-128-32-8-256-0.25]": 0.3109690789999604,
-"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.float32-1e_05-1e_05-1-128-32-8-64-1.0]": 0.30127940399998465,
-"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.float32-1e_05-1e_05-2-128-32-32-64-1.0]": 0.959187959000019,
-"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.float32-1e_05-1e_05-2-128-32-8-128-0.5]": 0.2660131149999927,
-"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.float32-1e_05-1e_05-2-128-32-8-256-0.25]": 0.3156247139999664,
-"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.float32-1e_05-1e_05-2-128-32-8-64-1.0]": 0.31483996899999056,
-"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.float32-1e_05-1e_05-3-423-73-155-92-1.0]": 0.00032911200000285135,
-"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.float32-1e_05-1e_05-3-423-73-213-92-1.0]": 0.00037700800001516654,
-"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.bfloat16-0.01-0.01-1-128-32-32-128-0.5]": 0.001500221999947371,
-"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.bfloat16-0.01-0.01-1-128-32-32-64-1.0]": 0.0015757480000218038,
-"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.bfloat16-0.01-0.01-1-128-32-8-256-0.25]": 0.001345897999982526,
-"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.bfloat16-0.01-0.01-1-128-32-8-64-1.0]": 0.002476546000025337,
-"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.bfloat16-0.01-0.01-2-128-32-32-64-1.0]": 0.0014751840000144512,
-"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.bfloat16-0.01-0.01-2-128-32-8-128-0.5]": 0.0014223690000108036,
-"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.bfloat16-0.01-0.01-2-128-32-8-256-0.25]": 0.0013373179999973672,
-"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.bfloat16-0.01-0.01-2-128-32-8-64-1.0]": 0.0014512409999838383,
-"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.bfloat16-0.01-0.01-3-423-73-155-92-1.0]": 0.0005923900000084359,
-"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.bfloat16-0.01-0.01-3-423-73-213-92-1.0]": 0.0005578509999963899,
-"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.float32-1e_05-1e_05-1-128-32-32-128-0.5]": 0.7062448290000134,
-"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.float32-1e_05-1e_05-1-128-32-32-64-1.0]": 0.6725436190000096,
-"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.float32-1e_05-1e_05-1-128-32-8-256-0.25]": 0.6990158290000181,
-"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.float32-1e_05-1e_05-1-128-32-8-64-1.0]": 0.6935691899999767,
-"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.float32-1e_05-1e_05-2-128-32-32-64-1.0]": 0.656579258999983,
-"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.float32-1e_05-1e_05-2-128-32-8-128-0.5]": 0.6846208380000007,
-"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.float32-1e_05-1e_05-2-128-32-8-256-0.25]": 0.6811236159999794,
-"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.float32-1e_05-1e_05-2-128-32-8-64-1.0]": 0.689695592000021,
-"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.float32-1e_05-1e_05-3-423-73-155-92-1.0]": 0.00046724999998559724,
-"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.float32-1e_05-1e_05-3-423-73-213-92-1.0]": 0.00047745500000928587,
-"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.bfloat16-0.01-0.01-1-128-32-32-128-0.5]": 0.000981827000003932,
-"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.bfloat16-0.01-0.01-1-128-32-32-64-1.0]": 0.005015060999994603,
-"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.bfloat16-0.01-0.01-1-128-32-8-256-0.25]": 0.0009932870000000094,
-"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.bfloat16-0.01-0.01-1-128-32-8-64-1.0]": 0.002346565999999939,
-"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.bfloat16-0.01-0.01-2-128-32-32-64-1.0]": 0.0033231320000197684,
-"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.bfloat16-0.01-0.01-2-128-32-8-128-0.5]": 0.0008913529999858838,
-"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.bfloat16-0.01-0.01-2-128-32-8-256-0.25]": 0.0010305999999786764,
-"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.bfloat16-0.01-0.01-2-128-32-8-64-1.0]": 0.0009540780000349969,
-"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.bfloat16-0.01-0.01-3-423-73-155-92-1.0]": 0.00035471199998937664,
-"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.bfloat16-0.01-0.01-3-423-73-213-92-1.0]": 0.0003317740000170488,
-"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.float32-1e_05-1e_05-1-128-32-32-128-0.5]": 0.2582441460000098,
-"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.float32-1e_05-1e_05-1-128-32-32-64-1.0]": 0.1286133979999704,
-"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.float32-1e_05-1e_05-1-128-32-8-256-0.25]": 0.10134567199997946,
-"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.float32-1e_05-1e_05-1-128-32-8-64-1.0]": 0.39458845200005044,
-"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.float32-1e_05-1e_05-2-128-32-32-64-1.0]": 0.4515477520000104,
-"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.float32-1e_05-1e_05-2-128-32-8-128-0.5]": 0.266415453999997,
-"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.float32-1e_05-1e_05-2-128-32-8-256-0.25]": 1.5066377969999962,
-"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.float32-1e_05-1e_05-2-128-32-8-64-1.0]": 0.12740337399998225,
-"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.float32-1e_05-1e_05-3-423-73-155-92-1.0]": 0.0003252800000836942,
-"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.float32-1e_05-1e_05-3-423-73-213-92-1.0]": 0.00036691700000801575,
-"tests/ops/test_rope.py::Test_RoPE::test_op_backward[cutile-torch.float16-0.02-0.02-1-128-32-32-64-1.0]": 0.8323518839999906,
-"tests/ops/test_rope.py::Test_RoPE::test_op_backward[cutile-torch.float16-0.02-0.02-1-128-32-8-256-0.25]": 0.9050862530000359,
-"tests/ops/test_rope.py::Test_RoPE::test_op_backward[cutile-torch.float16-0.02-0.02-1-512-16-16-128-1.0]": 0.8270857569999919,
-"tests/ops/test_rope.py::Test_RoPE::test_op_backward[cutile-torch.float16-0.02-0.02-2-128-32-8-128-0.5]": 0.3083214069999656,
-"tests/ops/test_rope.py::Test_RoPE::test_op_backward[cutile-torch.float16-0.02-0.02-2-128-32-8-64-1.0]": 0.8938801050000222,
-"tests/ops/test_rope.py::Test_RoPE::test_op_backward[cutile-torch.float32-1e_05-1e_05-1-128-32-32-64-1.0]": 1.1036504730000445,
-"tests/ops/test_rope.py::Test_RoPE::test_op_backward[cutile-torch.float32-1e_05-1e_05-1-128-32-8-256-0.25]": 0.9360818880000181,
-"tests/ops/test_rope.py::Test_RoPE::test_op_backward[cutile-torch.float32-1e_05-1e_05-1-512-16-16-128-1.0]": 0.9324006000000225,
-"tests/ops/test_rope.py::Test_RoPE::test_op_backward[cutile-torch.float32-1e_05-1e_05-2-128-32-8-128-0.5]": 0.29601448300002176,
-"tests/ops/test_rope.py::Test_RoPE::test_op_backward[cutile-torch.float32-1e_05-1e_05-2-128-32-8-64-1.0]": 0.8779124350000131,
-"tests/ops/test_rope.py::Test_RoPE::test_op_backward[tilecpp-torch.float16-0.02-0.02-1-128-32-32-64-1.0]": 1.1606720139999993,
-"tests/ops/test_rope.py::Test_RoPE::test_op_backward[tilecpp-torch.float16-0.02-0.02-1-128-32-8-256-0.25]": 1.2263153229999944,
-"tests/ops/test_rope.py::Test_RoPE::test_op_backward[tilecpp-torch.float16-0.02-0.02-1-512-16-16-128-1.0]": 1.26907827200003,
-"tests/ops/test_rope.py::Test_RoPE::test_op_backward[tilecpp-torch.float16-0.02-0.02-2-128-32-8-128-0.5]": 1.2675892170000225,
-"tests/ops/test_rope.py::Test_RoPE::test_op_backward[tilecpp-torch.float16-0.02-0.02-2-128-32-8-64-1.0]": 1.2484200560000431,
-"tests/ops/test_rope.py::Test_RoPE::test_op_backward[tilecpp-torch.float32-1e_05-1e_05-1-128-32-32-64-1.0]": 0.7095992449999926,
-"tests/ops/test_rope.py::Test_RoPE::test_op_backward[tilecpp-torch.float32-1e_05-1e_05-1-128-32-8-256-0.25]": 0.7165506629999925,
-"tests/ops/test_rope.py::Test_RoPE::test_op_backward[tilecpp-torch.float32-1e_05-1e_05-1-512-16-16-128-1.0]": 1.269967409000003,
-"tests/ops/test_rope.py::Test_RoPE::test_op_backward[tilecpp-torch.float32-1e_05-1e_05-2-128-32-8-128-0.5]": 0.7372869099999946,
-"tests/ops/test_rope.py::Test_RoPE::test_op_backward[tilecpp-torch.float32-1e_05-1e_05-2-128-32-8-64-1.0]": 0.7157132399999853,
-"tests/ops/test_rope.py::Test_RoPE::test_op_backward[triton-torch.float16-0.02-0.02-1-128-32-32-64-1.0]": 0.5770980860000066,
-"tests/ops/test_rope.py::Test_RoPE::test_op_backward[triton-torch.float16-0.02-0.02-1-128-32-8-256-0.25]": 0.3799968790000037,
-"tests/ops/test_rope.py::Test_RoPE::test_op_backward[triton-torch.float16-0.02-0.02-1-512-16-16-128-1.0]": 0.5858723300000008,
-"tests/ops/test_rope.py::Test_RoPE::test_op_backward[triton-torch.float16-0.02-0.02-2-128-32-8-128-0.5]": 0.3574194999999918,
-"tests/ops/test_rope.py::Test_RoPE::test_op_backward[triton-torch.float16-0.02-0.02-2-128-32-8-64-1.0]": 0.52481597299996,
-"tests/ops/test_rope.py::Test_RoPE::test_op_backward[triton-torch.float32-1e_05-1e_05-1-128-32-32-64-1.0]": 0.7385028840000132,
-"tests/ops/test_rope.py::Test_RoPE::test_op_backward[triton-torch.float32-1e_05-1e_05-1-128-32-8-256-0.25]": 0.371418704000007,
-"tests/ops/test_rope.py::Test_RoPE::test_op_backward[triton-torch.float32-1e_05-1e_05-1-512-16-16-128-1.0]": 0.5834604079999792,
-"tests/ops/test_rope.py::Test_RoPE::test_op_backward[triton-torch.float32-1e_05-1e_05-2-128-32-8-128-0.5]": 0.2592858649999812,
-"tests/ops/test_rope.py::Test_RoPE::test_op_backward[triton-torch.float32-1e_05-1e_05-2-128-32-8-64-1.0]": 0.5284705159999703,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[cutile-16-1024-1024-torch.float16]": 0.1544476770000074,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[cutile-16-1024-2048-torch.float32]": 0.16053250199999525,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[cutile-16-1024-512-torch.float32]": 0.564700963000007,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[cutile-16-512-1024-torch.float32]": 0.11111388100002273,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[cutile-16-512-512-torch.float16]": 0.1280173600000012,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[cutile-32-1024-1024-torch.float32]": 0.1500453539999853,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[cutile-32-1024-4096-torch.float32]": 3.263329679000009,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[cutile-32-1024-512-torch.float16]": 0.14129447100000903,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[cutile-32-512-1024-torch.float16]": 0.1277376870000353,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[cutile-32-512-2048-torch.float32]": 0.14573377900003948,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[cutile-32-512-512-torch.float32]": 0.12669500999999173,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[cutile-8-1024-1024-torch.float32]": 0.5015671289999943,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[cutile-8-1024-2048-torch.float32]": 0.14174923500002024,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[cutile-8-1024-512-torch.float16]": 0.13078429300000494,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[cutile-8-512-1024-torch.float16]": 1.8565761000000123,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[cutile-8-512-2048-torch.float32]": 2.5198691180000026,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[cutile-8-512-512-torch.float16]": 2.03977047799998,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[tilecpp-16-1024-1024-torch.float16]": 0.1282323669999812,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[tilecpp-16-1024-2048-torch.float32]": 0.13880156500005114,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[tilecpp-16-1024-512-torch.float32]": 0.11508210900001359,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[tilecpp-16-512-1024-torch.float32]": 0.11153949400002716,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[tilecpp-16-512-512-torch.float16]": 0.11030644299998471,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[tilecpp-32-1024-1024-torch.float32]": 1.644652678,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[tilecpp-32-1024-4096-torch.float32]": 1.4344117000000551,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[tilecpp-32-1024-512-torch.float16]": 0.12830670600004623,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[tilecpp-32-512-1024-torch.float16]": 0.1335615450000205,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[tilecpp-32-512-2048-torch.float32]": 0.1378525810000042,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[tilecpp-32-512-512-torch.float32]": 0.1736636619999956,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[tilecpp-8-1024-1024-torch.float32]": 0.10914896800002793,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[tilecpp-8-1024-2048-torch.float32]": 0.12363685400001145,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[tilecpp-8-1024-512-torch.float16]": 0.12543401799999288,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[tilecpp-8-512-1024-torch.float16]": 1.1201716480000243,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[tilecpp-8-512-2048-torch.float32]": 0.6410045419999904,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[tilecpp-8-512-512-torch.float16]": 1.1399722439999778,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op_irregular_shapes[cutile-13-256-1024-torch.float32]": 2.245818958000001,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op_irregular_shapes[cutile-13-333-1500-torch.float32]": 0.5977622119999921,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op_irregular_shapes[cutile-7-100-1000-torch.float32]": 0.5399959369999863,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op_irregular_shapes[cutile-7-512-512-torch.float32]": 1.7718134330000055,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op_irregular_shapes[cutile-8-100-512-torch.float32]": 0.1335519270000134,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op_irregular_shapes[cutile-8-256-1000-torch.float32]": 2.8252676399999928,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op_irregular_shapes[cutile-8-256-1500-torch.float32]": 3.073038362999995,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op_irregular_shapes[cutile-8-256-3000-torch.float32]": 5.681967658000019,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op_irregular_shapes[cutile-8-333-1024-torch.float32]": 0.43053188099997897,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op_irregular_shapes[tilecpp-13-256-1024-torch.float32]": 0.1970527709999601,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op_irregular_shapes[tilecpp-13-333-1500-torch.float32]": 0.09705926099999829,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op_irregular_shapes[tilecpp-7-100-1000-torch.float32]": 0.12013645000001816,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op_irregular_shapes[tilecpp-7-512-512-torch.float32]": 1.099693579999979,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op_irregular_shapes[tilecpp-8-100-512-torch.float32]": 0.10874092399998858,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op_irregular_shapes[tilecpp-8-256-1000-torch.float32]": 0.5753061970000033,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op_irregular_shapes[tilecpp-8-256-1500-torch.float32]": 1.1179656559999955,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op_irregular_shapes[tilecpp-8-256-3000-torch.float32]": 0.6512017119999882,
-"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op_irregular_shapes[tilecpp-8-333-1024-torch.float32]": 0.09848443600000678,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[baseline-cutile-256-1009-torch.float16]": 0.7865783649999969,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[baseline-cutile-256-2048-torch.float16]": 0.8055962150000084,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[baseline-cutile-256-2048-torch.float32]": 0.7697850529999926,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[baseline-cutile-256-256-torch.float16]": 0.6564196019999997,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[baseline-cutile-256-256-torch.float32]": 0.6142878560000042,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[baseline-cutile-256-32768-torch.float32]": 1.909789910000029,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[baseline-cutile-256-9-torch.float32]": 0.704796588999983,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[baseline-tilecpp-256-1009-torch.float16]": 0.73680643900002,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[baseline-tilecpp-256-2048-torch.float16]": 0.717423843000006,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[baseline-tilecpp-256-2048-torch.float32]": 0.8053659029999949,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[baseline-tilecpp-256-256-torch.float16]": 0.7344794539999668,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[baseline-tilecpp-256-256-torch.float32]": 0.7040884609999694,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[baseline-tilecpp-256-32768-torch.float32]": 0.9588610870000309,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[baseline-tilecpp-256-9-torch.float32]": 0.7082036709999784,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[use_chunked-cutile-256-1009-torch.float16]": 0.4267691040000159,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[use_chunked-cutile-256-2048-torch.float16]": 0.4465061530000298,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[use_chunked-cutile-256-2048-torch.float32]": 0.4518230700000174,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[use_chunked-cutile-256-256-torch.float16]": 0.3366717210000445,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[use_chunked-cutile-256-256-torch.float32]": 0.3323490939999658,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[use_chunked-cutile-256-32768-torch.float32]": 0.7024051559999975,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[use_chunked-cutile-256-9-torch.float32]": 0.3770636549999722,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[use_chunked-tilecpp-256-1009-torch.float16]": 0.19114871499999708,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[use_chunked-tilecpp-256-2048-torch.float16]": 0.18129043499996556,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[use_chunked-tilecpp-256-2048-torch.float32]": 0.1883488899999861,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[use_chunked-tilecpp-256-256-torch.float16]": 0.2131124280000165,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[use_chunked-tilecpp-256-256-torch.float32]": 0.2133267369999885,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[use_chunked-tilecpp-256-32768-torch.float32]": 0.1905538239999771,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[use_chunked-tilecpp-256-9-torch.float32]": 0.2008843539999816,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[use_multi_wave-cutile-256-1009-torch.float16]": 0.36497849499997415,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[use_multi_wave-cutile-256-2048-torch.float16]": 0.3508156849999864,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[use_multi_wave-cutile-256-2048-torch.float32]": 0.3451664089999724,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[use_multi_wave-cutile-256-256-torch.float16]": 0.30490926800001716,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[use_multi_wave-cutile-256-256-torch.float32]": 0.2837287790000289,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[use_multi_wave-cutile-256-32768-torch.float32]": 0.7266430720000017,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[use_multi_wave-cutile-256-9-torch.float32]": 0.3083011279999539,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[use_multi_wave-tilecpp-256-1009-torch.float16]": 0.19135102900000334,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[use_multi_wave-tilecpp-256-2048-torch.float16]": 0.17928392899997903,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[use_multi_wave-tilecpp-256-2048-torch.float32]": 0.20950861100001816,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[use_multi_wave-tilecpp-256-256-torch.float16]": 0.18902183199998035,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[use_multi_wave-tilecpp-256-256-torch.float32]": 0.239912027000031,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[use_multi_wave-tilecpp-256-32768-torch.float32]": 0.18289522500001,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[use_multi_wave-tilecpp-256-9-torch.float32]": 0.192622077999971,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[use_tma-cutile-256-1009-torch.float16]": 1.2599594309999986,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[use_tma-cutile-256-2048-torch.float16]": 0.9904358259999526,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[use_tma-cutile-256-2048-torch.float32]": 1.225880716000006,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[use_tma-cutile-256-256-torch.float16]": 1.3301162889999887,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[use_tma-cutile-256-256-torch.float32]": 1.4903591430000063,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[use_tma-cutile-256-32768-torch.float32]": 4.096931289000025,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[use_tma-cutile-256-9-torch.float32]": 1.326434321000022,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[use_tma-tilecpp-256-1009-torch.float16]": 0.19688652099998194,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[use_tma-tilecpp-256-2048-torch.float16]": 0.215477672999981,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[use_tma-tilecpp-256-2048-torch.float32]": 0.17666121999999973,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[use_tma-tilecpp-256-256-torch.float16]": 0.20071452100000897,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[use_tma-tilecpp-256-256-torch.float32]": 0.2178864099999771,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[use_tma-tilecpp-256-32768-torch.float32]": 0.18961246799997866,
-"tests/ops/test_softmax.py::Test_Softmax::test_op[use_tma-tilecpp-256-9-torch.float32]": 0.19521378400003186,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.bfloat16-1-512-16-1]": 0.2972706339999718,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.bfloat16-1-512-16-2]": 0.2520950650000202,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.bfloat16-1-512-32-1]": 0.2624262370000281,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.bfloat16-1-512-32-2]": 0.3031928949999667,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.bfloat16-16-512-16-1]": 0.326696792000007,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.bfloat16-16-512-16-2]": 0.3535489360000099,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.bfloat16-16-512-32-1]": 0.31368875200001867,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.bfloat16-16-512-32-2]": 0.3221279269999968,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.bfloat16-2-512-16-1]": 0.2844566240000006,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.bfloat16-2-512-16-2]": 0.2873857630000032,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.bfloat16-2-512-32-1]": 0.29554731000001766,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.bfloat16-2-512-32-2]": 0.2891566600000033,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.bfloat16-8-512-16-1]": 0.29792004300000485,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.bfloat16-8-512-16-2]": 0.29647107099998493,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.bfloat16-8-512-32-1]": 0.3202111960000025,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.bfloat16-8-512-32-2]": 0.28815192399997613,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.float16-1-512-16-1]": 0.26790931499999715,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.float16-1-512-16-2]": 0.2576018459999716,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.float16-1-512-32-1]": 0.2647199670000191,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.float16-1-512-32-2]": 0.25549753600000713,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.float16-16-512-16-1]": 0.3057405440000025,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.float16-16-512-16-2]": 0.30637157699999307,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.float16-16-512-32-1]": 0.30706461799996987,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.float16-16-512-32-2]": 0.3207051430000263,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.float16-2-512-16-1]": 0.2687486679999722,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.float16-2-512-16-2]": 0.2629530460000069,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.float16-2-512-32-1]": 0.29119628700001954,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.float16-2-512-32-2]": 0.30879603299999303,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.float16-8-512-16-1]": 0.28191644599999677,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.float16-8-512-16-2]": 0.2864982540000085,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.float16-8-512-32-1]": 0.2887532849999843,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.float16-8-512-32-2]": 0.3107739020000224,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.bfloat16-1-512-16-1]": 0.6375652769999647,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.bfloat16-1-512-16-2]": 0.6257106299999577,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.bfloat16-1-512-32-1]": 0.630615382000002,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.bfloat16-1-512-32-2]": 0.6104170220000071,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.bfloat16-16-512-16-1]": 0.6669463939999787,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.bfloat16-16-512-16-2]": 0.6789410129999851,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.bfloat16-16-512-32-1]": 0.6544041580000339,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.bfloat16-16-512-32-2]": 0.6471595610000236,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.bfloat16-2-512-16-1]": 0.6598536760000115,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.bfloat16-2-512-16-2]": 0.6184611810000149,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.bfloat16-2-512-32-1]": 0.6679657209999732,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.bfloat16-2-512-32-2]": 0.6205526040000109,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.bfloat16-8-512-16-1]": 0.7280024300000036,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.bfloat16-8-512-16-2]": 0.6730777820000071,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.bfloat16-8-512-32-1]": 0.6673054739999884,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.bfloat16-8-512-32-2]": 0.6564612469999531,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.float16-1-512-16-1]": 0.6803322500000206,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.float16-1-512-16-2]": 0.6549353159999782,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.float16-1-512-32-1]": 0.6856938950000142,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.float16-1-512-32-2]": 0.6103896909999946,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.float16-16-512-16-1]": 0.7281476089999899,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.float16-16-512-16-2]": 0.7167569510000078,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.float16-16-512-32-1]": 0.6636094979999996,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.float16-16-512-32-2]": 0.6485378279999736,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.float16-2-512-16-1]": 0.6276924359999896,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.float16-2-512-16-2]": 0.6885734179999758,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.float16-2-512-32-1]": 0.13172192200002542,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.float16-2-512-32-2]": 0.674771021999959,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.float16-8-512-16-1]": 0.12321420500001068,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.float16-8-512-16-2]": 0.64477991199999,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.float16-8-512-32-1]": 0.6553695179999863,
-"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.float16-8-512-32-2]": 0.6604196450000188,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward[cutile-2-1024-512-torch.float32]": 0.17153075199999535,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward[cutile-4-512-1024-torch.float32]": 0.15966354599999022,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward[cutile-8-256-2048-torch.float32]": 0.31712401200005047,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward[cutile-8-512-1024-torch.float16]": 0.3497424289999742,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward[cutile-8-512-512-torch.float16]": 0.36172342799997637,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward[tilecpp-2-1024-512-torch.float32]": 1.1561888260000046,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward[tilecpp-4-512-1024-torch.float32]": 1.0702655439999944,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward[tilecpp-8-256-2048-torch.float32]": 1.1292605870000045,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward[tilecpp-8-512-1024-torch.float16]": 1.151045785000008,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward[tilecpp-8-512-512-torch.float16]": 1.1291592199999911,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward_irregular[cutile-13-128-1024]": 0.3959966740000027,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward_irregular[cutile-13-333-1500]": 0.5395875979999971,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward_irregular[cutile-4-128-3000]": 0.5263445630000092,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward_irregular[cutile-4-256-1000]": 0.4877196300000435,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward_irregular[cutile-4-256-1500]": 0.5358027300000288,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward_irregular[cutile-7-100-1000]": 0.44990856900000153,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward_irregular[cutile-7-256-512]": 0.34473915300003455,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward_irregular[cutile-8-100-512]": 0.12277813099996138,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward_irregular[cutile-8-333-256]": 0.3099081320000039,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward_irregular[tilecpp-13-128-1024]": 0.0986762920000217,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward_irregular[tilecpp-13-333-1500]": 0.13156983899997954,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward_irregular[tilecpp-4-128-3000]": 0.7251883950000035,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward_irregular[tilecpp-4-256-1000]": 0.13374192399999174,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward_irregular[tilecpp-4-256-1500]": 0.1187394050000421,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward_irregular[tilecpp-7-100-1000]": 0.14279693299999963,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward_irregular[tilecpp-7-256-512]": 0.12666253799997662,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward_irregular[tilecpp-8-100-512]": 0.09650348200003123,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward_irregular[tilecpp-8-333-256]": 1.0223252310000248,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward[cutile-2-512-1024-4096]": 0.14923376999999505,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward[cutile-4-1024-2048-8192]": 0.3025218830000256,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward[cutile-8-2048-4096-14336]": 0.2598767389999921,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward[tilecpp-2-512-1024-4096]": 0.12338330599999381,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward[tilecpp-4-1024-2048-8192]": 0.1530189529999859,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward[tilecpp-8-2048-4096-14336]": 0.7157162530000107,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward_irregular[cutile-13-256-2048]": 0.114780278000012,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward_irregular[cutile-13-333-1500]": 0.13553140099998018,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward_irregular[cutile-7-100-1000]": 0.12360883100004116,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward_irregular[cutile-7-512-1024]": 0.10678720600003544,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward_irregular[cutile-8-100-1024]": 0.09709039900002381,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward_irregular[cutile-8-256-1000]": 0.16881123199999593,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward_irregular[cutile-8-256-1500]": 0.13848644999998783,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward_irregular[cutile-8-256-3000]": 0.12726111200001355,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward_irregular[cutile-8-333-512]": 0.19224987699999474,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward_irregular[tilecpp-13-256-2048]": 0.11101977500001681,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward_irregular[tilecpp-13-333-1500]": 0.12030891200001292,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward_irregular[tilecpp-7-100-1000]": 0.11027593299996852,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward_irregular[tilecpp-7-512-1024]": 0.11808077700001718,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward_irregular[tilecpp-8-100-1024]": 0.10182934200000204,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward_irregular[tilecpp-8-256-1000]": 0.09600050799997462,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward_irregular[tilecpp-8-256-1500]": 0.0927385239999694,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward_irregular[tilecpp-8-256-3000]": 0.09665702800000986,
-"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward_irregular[tilecpp-8-333-512]": 0.0961453140000117,
-"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-1024-1024-torch.float16]": 0.24652781500000742,
-"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-1024-1024-torch.float32]": 0.2571273700000347,
-"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-128-128-torch.float16]": 0.25852475700000355,
-"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-128-128-torch.float32]": 0.28552432500001146,
-"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-16-16-torch.float16]": 0.25384684699997706,
-"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-16-16-torch.float32]": 0.26231107399999587,
-"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-2-2-torch.float16]": 0.29460441800003423,
-"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-2-2-torch.float32]": 0.32361879499998736,
-"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-2048-2048-torch.float16]": 0.24727814199997056,
-"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-2048-2048-torch.float32]": 0.2723342679999803,
-"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-256-256-torch.float16]": 0.2369928799999741,
-"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-256-256-torch.float32]": 0.2505765769999755,
-"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-32-32-torch.float16]": 0.23435373000003779,
-"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-32-32-torch.float32]": 0.24976834300002793,
-"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-4-4-torch.float16]": 0.3053088140000568,
-"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-4-4-torch.float32]": 0.2772383270000205,
-"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-4096-4096-torch.float16]": 0.3369350719999886,
-"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-4096-4096-torch.float32]": 0.2822110650000127,
-"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-512-512-torch.float16]": 0.24468288599999255,
-"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-512-512-torch.float32]": 0.28505478299999254,
-"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-64-64-torch.float16]": 0.24737510100001714,
-"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-64-64-torch.float32]": 0.2547445590000166,
-"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-8-8-torch.float16]": 0.2896205109999812,
-"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-8-8-torch.float32]": 0.2774279220000153,
-"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-8192-8192-torch.float16]": 0.3507800850000251,
-"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-8192-8192-torch.float32]": 0.27921153099995877,
-"tests/suites/flashinfer/test_flashinfer_attention.py::Test_FlashInfer_DecodePaged::test_op[cutile-4-1024-128-float16]": 5.500744498000017,
-"tests/suites/flashinfer/test_flashinfer_attention.py::Test_FlashInfer_MLADecodePaged::test_op[cutile-32-4-1024-128-float16]": 0.001077948999977707,
-"tests/suites/flashinfer/test_flashinfer_attention.py::Test_FlashInfer_PrefillPaged::test_op[cutile-4-1024-128-128-float16]": 16.14699423799999,
-"tests/suites/flashinfer/test_flashinfer_attention.py::Test_FlashInfer_PrefillPaged::test_op[cutile-4-1024-192-128-float16]": 21.279657041999968,
-"tests/suites/flashinfer/test_flashinfer_attention.py::Test_FlashInfer_PrefillRagged::test_op[cutile-4-1024-128-float16]": 41.94995222699998,
-"tests/suites/flashinfer/test_flashinfer_attention.py::Test_FlashInfer_PrefillRagged::test_op[cutile-4-1024-192-float16]": 61.387417835000065,
-"tests/suites/flashinfer/test_flashinfer_gemm_alpha_beta.py::Test_FlashInfer_Matmul_Alpha_Beta::test_op[1.0-0.0-False-True-torch.bfloat16-torch.bfloat16-4096-4096-4096-cutile]": 38.81290488800005,
-"tests/suites/flashinfer/test_flashinfer_gemm_alpha_beta.py::Test_FlashInfer_Matmul_Alpha_Beta::test_op[1.0-0.0-False-True-torch.bfloat16-torch.bfloat16-8192-8192-8192-cutile]": 3.375743405000037,
-"tests/suites/flashinfer/test_flashinfer_gemm_alpha_beta.py::Test_FlashInfer_Matmul_Alpha_Beta::test_op[1.0-0.0-False-True-torch.float16-torch.float16-4096-4096-4096-cutile]": 35.93972394899998,
-"tests/suites/flashinfer/test_flashinfer_gemm_alpha_beta.py::Test_FlashInfer_Matmul_Alpha_Beta::test_op[1.0-0.0-False-True-torch.float16-torch.float16-8192-8192-8192-cutile]": 5.007637571000032,
-"tests/suites/flashinfer/test_flashinfer_gemm_alpha_beta.py::Test_FlashInfer_Matmul_Alpha_Beta::test_op[1.0-0.0-False-True-torch.float8_e4m3fn-torch.bfloat16-4096-4096-4096-cutile]": 29.550462876999973,
-"tests/suites/flashinfer/test_flashinfer_gemm_alpha_beta.py::Test_FlashInfer_Matmul_Alpha_Beta::test_op[1.0-0.0-False-True-torch.float8_e4m3fn-torch.bfloat16-8192-8192-8192-cutile]": 3.3172102300000574,
-"tests/suites/flashinfer/test_flashinfer_gemm_alpha_beta.py::Test_FlashInfer_Matmul_Alpha_Beta::test_op[1.5-2.0-False-True-torch.bfloat16-torch.bfloat16-4096-4096-4096-cutile]": 0.037088714000049094,
-"tests/suites/flashinfer/test_flashinfer_gemm_alpha_beta.py::Test_FlashInfer_Matmul_Alpha_Beta::test_op[1.5-2.0-False-True-torch.bfloat16-torch.bfloat16-8192-8192-8192-cutile]": 0.06635365500000034,
-"tests/suites/flashinfer/test_flashinfer_gemm_alpha_beta.py::Test_FlashInfer_Matmul_Alpha_Beta::test_op[1.5-2.0-False-True-torch.float16-torch.float16-4096-4096-4096-cutile]": 0.03807624400002396,
-"tests/suites/flashinfer/test_flashinfer_gemm_alpha_beta.py::Test_FlashInfer_Matmul_Alpha_Beta::test_op[1.5-2.0-False-True-torch.float16-torch.float16-8192-8192-8192-cutile]": 0.06601343299996643,
-"tests/suites/flashinfer/test_flashinfer_gemm_alpha_beta.py::Test_FlashInfer_Matmul_Alpha_Beta::test_op[1.5-2.0-False-True-torch.float8_e4m3fn-torch.bfloat16-4096-4096-4096-cutile]": 0.03702211700004909,
-"tests/suites/flashinfer/test_flashinfer_gemm_alpha_beta.py::Test_FlashInfer_Matmul_Alpha_Beta::test_op[1.5-2.0-False-True-torch.float8_e4m3fn-torch.bfloat16-8192-8192-8192-cutile]": 0.06543321800000967,
-"tests/suites/flashinfer/test_flashinfer_masked_bmm.py::Test_FlashInfer_MaskedBMM::test_op[cutile-False-False-torch.float16-6-4096-512-4096-7168]": 40.27446953399999,
-"tests/suites/flashinfer/test_flashinfer_masked_bmm.py::Test_FlashInfer_MaskedBMM::test_op[cutile-False-False-torch.float16-6-4096-512-7168-2048]": 1.5945390379998798,
-"tests/suites/flashinfer/test_flashinfer_masked_bmm.py::Test_FlashInfer_MaskedBMM::test_op[cutile-False-True-torch.float16-6-4096-512-4096-7168]": 40.15766551999991,
-"tests/suites/flashinfer/test_flashinfer_masked_bmm.py::Test_FlashInfer_MaskedBMM::test_op[cutile-False-True-torch.float16-6-4096-512-7168-2048]": 1.501094309999985,
-"tests/suites/flashinfer/test_flashinfer_masked_bmm.py::Test_FlashInfer_MaskedBMM::test_op[cutile-True-False-torch.float16-6-4096-512-4096-7168]": 43.485673185999985,
-"tests/suites/flashinfer/test_flashinfer_masked_bmm.py::Test_FlashInfer_MaskedBMM::test_op[cutile-True-False-torch.float16-6-4096-512-7168-2048]": 1.6346164129998897,
-"tests/suites/flashinfer/test_flashinfer_masked_bmm.py::Test_FlashInfer_MaskedBMM::test_op[cutile-True-True-torch.float16-6-4096-512-4096-7168]": 42.89487190299997,
-"tests/suites/flashinfer/test_flashinfer_masked_bmm.py::Test_FlashInfer_MaskedBMM::test_op[cutile-True-True-torch.float16-6-4096-512-7168-2048]": 1.5200476140000774,
-"tests/suites/flashinfer/test_flashinfer_ragged_block_scaled_bmm.py::Test_FlashInfer_RaggedBlockScaledBMM::test_op[False-True-torch.float8_e4m3fn-torch.bfloat16-2048-2048-128-16-cutile]": 4.834458009999935,
-"tests/suites/flashinfer/test_flashinfer_ragged_block_scaled_bmm.py::Test_FlashInfer_RaggedBlockScaledBMM::test_op[False-True-torch.float8_e4m3fn-torch.bfloat16-2048-2048-128-4-cutile]": 4.92752260899988,
-"tests/suites/flashinfer/test_flashinfer_ragged_block_scaled_bmm.py::Test_FlashInfer_RaggedBlockScaledBMM::test_op[False-True-torch.float8_e4m3fn-torch.bfloat16-2048-2048-512-16-cutile]": 0.4666226719999713,
-"tests/suites/flashinfer/test_flashinfer_ragged_block_scaled_bmm.py::Test_FlashInfer_RaggedBlockScaledBMM::test_op[False-True-torch.float8_e4m3fn-torch.bfloat16-2048-2048-512-4-cutile]": 0.47340543500001786,
-"tests/suites/flashinfer/test_flashinfer_ragged_block_scaled_bmm.py::Test_FlashInfer_RaggedBlockScaledBMM::test_op[False-True-torch.float8_e4m3fn-torch.bfloat16-4096-4096-128-16-cutile]": 0.4871669260000999,
-"tests/suites/flashinfer/test_flashinfer_ragged_block_scaled_bmm.py::Test_FlashInfer_RaggedBlockScaledBMM::test_op[False-True-torch.float8_e4m3fn-torch.bfloat16-4096-4096-128-4-cutile]": 0.46534517800000685,
-"tests/suites/flashinfer/test_flashinfer_ragged_block_scaled_bmm.py::Test_FlashInfer_RaggedBlockScaledBMM::test_op[False-True-torch.float8_e4m3fn-torch.bfloat16-4096-4096-512-16-cutile]": 0.5882562199999484,
-"tests/suites/flashinfer/test_flashinfer_ragged_block_scaled_bmm.py::Test_FlashInfer_RaggedBlockScaledBMM::test_op[False-True-torch.float8_e4m3fn-torch.bfloat16-4096-4096-512-4-cutile]": 0.4852029379999294,
-"tests/suites/flashinfer/test_flashinfer_ragged_bmm.py::Test_FlashInfer_RaggedBMM::test_op_dtypes[torch.bfloat16-4-256-256-256-cutile]": 0.00378045100012514,
-"tests/suites/flashinfer/test_flashinfer_ragged_bmm.py::Test_FlashInfer_RaggedBMM::test_op_dtypes[torch.float8_e4m3fn-4-256-256-256-cutile]": 14.222478249000005,
-"tests/suites/flashinfer/test_flashinfer_ragged_bmm.py::Test_FlashInfer_RaggedBMM::test_op_num_groups[1-256-256-256-torch.bfloat16-cutile]": 0.5854292450000003,
-"tests/suites/flashinfer/test_flashinfer_ragged_bmm.py::Test_FlashInfer_RaggedBMM::test_op_num_groups[4-256-256-256-torch.bfloat16-cutile]": 0.003694905000088511,
-"tests/suites/flashinfer/test_flashinfer_ragged_bmm.py::Test_FlashInfer_RaggedBMM::test_op_num_groups[8-256-256-256-torch.bfloat16-cutile]": 0.5585592399999086,
-"tests/suites/flashinfer/test_flashinfer_ragged_bmm.py::Test_FlashInfer_RaggedBMM::test_op_shapes[2-128-128-128-torch.bfloat16-False-False-cutile]": 0.0009979169999496662,
-"tests/suites/flashinfer/test_flashinfer_ragged_bmm.py::Test_FlashInfer_RaggedBMM::test_op_shapes[2-128-128-128-torch.bfloat16-True-False-cutile]": 0.5495889290000378,
-"tests/suites/flashinfer/test_flashinfer_ragged_bmm.py::Test_FlashInfer_RaggedBMM::test_op_shapes[4-256-256-256-torch.bfloat16-False-False-cutile]": 0.0009532440000157294,
-"tests/suites/flashinfer/test_flashinfer_ragged_bmm.py::Test_FlashInfer_RaggedBMM::test_op_shapes[4-256-256-256-torch.bfloat16-True-False-cutile]": 29.95001086800005,
-"tests/suites/flashinfer/test_flashinfer_ragged_bmm.py::Test_FlashInfer_RaggedBMM::test_op_shapes[4-512-512-512-torch.bfloat16-False-False-cutile]": 0.0009893319999036976,
-"tests/suites/flashinfer/test_flashinfer_ragged_bmm.py::Test_FlashInfer_RaggedBMM::test_op_shapes[4-512-512-512-torch.bfloat16-True-False-cutile]": 0.7069594399999914,
-"tests/suites/flashinfer/test_flashinfer_ragged_bmm.py::Test_FlashInfer_RaggedBMM::test_op_transpose[False-False-4-256-256-256-torch.bfloat16-cutile]": 0.0009819629999583412,
-"tests/suites/flashinfer/test_flashinfer_ragged_bmm.py::Test_FlashInfer_RaggedBMM::test_op_transpose[False-True-4-256-256-256-torch.bfloat16-cutile]": 0.0009049330000152622,
-"tests/suites/flashinfer/test_flashinfer_ragged_bmm.py::Test_FlashInfer_RaggedBMM::test_op_transpose[True-False-4-256-256-256-torch.bfloat16-cutile]": 0.0037330509999264905,
-"tests/suites/flashinfer/test_flashinfer_ragged_bmm.py::Test_FlashInfer_RaggedBMM::test_op_transpose[True-True-4-256-256-256-torch.bfloat16-cutile]": 0.0009019120000175462,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-False-torch.float8_e4m3fn-128-2048-512]": 0.11031353199996374,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-False-torch.float8_e4m3fn-128-2048-513]": 0.0023972129999947356,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-False-torch.float8_e4m3fn-16-2048-512]": 0.12062581900011082,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-False-torch.float8_e4m3fn-16-2048-513]": 0.003612463999843385,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-False-torch.float8_e4m3fn-32-2048-512]": 0.11971032799999648,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-False-torch.float8_e4m3fn-32-2048-513]": 0.0032853899999736313,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-False-torch.float8_e4m3fn-64-2048-512]": 0.11281975700012481,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-False-torch.float8_e4m3fn-64-2048-513]": 0.002241497999989406,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-False-torch.int8-128-2048-512]": 0.11159406200010835,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-False-torch.int8-128-2048-513]": 0.002332376999902408,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-False-torch.int8-16-2048-512]": 0.11714265900002374,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-False-torch.int8-16-2048-513]": 0.004179811999847516,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-False-torch.int8-32-2048-512]": 0.09913440700006504,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-False-torch.int8-32-2048-513]": 0.002265540000053079,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-False-torch.int8-64-2048-512]": 0.12125481200007471,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-False-torch.int8-64-2048-513]": 0.0023294789999681598,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-True-torch.float8_e4m3fn-128-2048-512]": 0.02026439999985996,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-True-torch.float8_e4m3fn-128-2048-513]": 0.0019206650000569425,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-True-torch.float8_e4m3fn-16-2048-512]": 0.02416383999991467,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-True-torch.float8_e4m3fn-16-2048-513]": 0.002192497999999432,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-True-torch.float8_e4m3fn-32-2048-512]": 0.02184076800017465,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-True-torch.float8_e4m3fn-32-2048-513]": 0.0023533969999789406,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-True-torch.float8_e4m3fn-64-2048-512]": 0.02302743800009921,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-True-torch.float8_e4m3fn-64-2048-513]": 0.0019278119999626142,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-True-torch.int8-128-2048-512]": 0.02162144699991586,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-True-torch.int8-128-2048-513]": 0.0018733729999667048,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-True-torch.int8-16-2048-512]": 0.020984378000093784,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-True-torch.int8-16-2048-513]": 0.002553160000047683,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-True-torch.int8-32-2048-512]": 0.019848379000109162,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-True-torch.int8-32-2048-513]": 0.0019840429998794207,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-True-torch.int8-64-2048-512]": 0.021308007000016005,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-True-torch.int8-64-2048-513]": 0.0019757859998890126,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-False-torch.float8_e4m3fn-128-2048-512]": 0.0010872310000422658,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-False-torch.float8_e4m3fn-128-2048-513]": 0.0010577760000103353,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-False-torch.float8_e4m3fn-16-2048-512]": 0.0010631189999230628,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-False-torch.float8_e4m3fn-16-2048-513]": 0.0027575510000019676,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-False-torch.float8_e4m3fn-32-2048-512]": 0.002071383999975751,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-False-torch.float8_e4m3fn-32-2048-513]": 0.0020125770000163357,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-False-torch.float8_e4m3fn-64-2048-512]": 0.00205754300000649,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-False-torch.float8_e4m3fn-64-2048-513]": 0.002016586999957326,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-False-torch.int8-128-2048-512]": 0.001042043000012427,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-False-torch.int8-128-2048-513]": 0.0010563449999949626,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-False-torch.int8-16-2048-512]": 0.0010870129999887013,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-False-torch.int8-16-2048-513]": 0.0013006930000187822,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-False-torch.int8-32-2048-512]": 0.0034817000000373355,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-False-torch.int8-32-2048-513]": 0.0011082999999985077,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-False-torch.int8-64-2048-512]": 0.0011805799999535793,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-False-torch.int8-64-2048-513]": 0.0010683029999825067,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-True-torch.float8_e4m3fn-128-2048-512]": 0.1298981079999919,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-True-torch.float8_e4m3fn-128-2048-513]": 0.004401974999979075,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-True-torch.float8_e4m3fn-16-2048-512]": 0.11796498200004635,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-True-torch.float8_e4m3fn-16-2048-513]": 0.0023944670000162205,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-True-torch.float8_e4m3fn-32-2048-512]": 0.12101731199999222,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-True-torch.float8_e4m3fn-32-2048-513]": 0.0025874160000114443,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-True-torch.float8_e4m3fn-64-2048-512]": 0.12139068400000497,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-True-torch.float8_e4m3fn-64-2048-513]": 0.0023390740000195365,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-True-torch.int8-128-2048-512]": 0.12379594399999405,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-True-torch.int8-128-2048-513]": 0.00319128599997498,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-True-torch.int8-16-2048-512]": 0.1089112140000168,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-True-torch.int8-16-2048-513]": 0.002963977999996814,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-True-torch.int8-32-2048-512]": 0.11734048999997526,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-True-torch.int8-32-2048-513]": 0.0027460629999893627,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-True-torch.int8-64-2048-512]": 0.11968220299999643,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-True-torch.int8-64-2048-513]": 0.0027529810000146426,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-False-torch.float8_e4m3fn-128-2048-512]": 0.0012701199999867185,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-False-torch.float8_e4m3fn-128-2048-513]": 0.001271915000017998,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-False-torch.float8_e4m3fn-16-2048-512]": 0.0016126639999924919,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-False-torch.float8_e4m3fn-16-2048-513]": 0.0013735240000016802,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-False-torch.float8_e4m3fn-32-2048-512]": 0.0013160500000140019,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-False-torch.float8_e4m3fn-32-2048-513]": 0.0013018880000004174,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-False-torch.float8_e4m3fn-64-2048-512]": 0.0012834429999770691,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-False-torch.float8_e4m3fn-64-2048-513]": 0.001297222999994574,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-False-torch.int8-128-2048-512]": 0.0013615310000147929,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-False-torch.int8-128-2048-513]": 0.00105126599996197,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-False-torch.int8-16-2048-512]": 0.0012839030000293405,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-False-torch.int8-16-2048-513]": 0.0012751699999853372,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-False-torch.int8-32-2048-512]": 0.0013698189999900023,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-False-torch.int8-32-2048-513]": 0.0013735349999990376,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-False-torch.int8-64-2048-512]": 0.0013836549999837189,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-False-torch.int8-64-2048-513]": 0.0013854649999984758,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-True-torch.float8_e4m3fn-128-2048-512]": 0.0025042460000292976,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-True-torch.float8_e4m3fn-128-2048-513]": 0.0026968729999907737,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-True-torch.float8_e4m3fn-16-2048-512]": 0.00888015000001019,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-True-torch.float8_e4m3fn-16-2048-513]": 0.002734170999985963,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-True-torch.float8_e4m3fn-32-2048-512]": 0.0025781469999799356,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-True-torch.float8_e4m3fn-32-2048-513]": 0.0029527800000153093,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-True-torch.float8_e4m3fn-64-2048-512]": 0.002943780999999035,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-True-torch.float8_e4m3fn-64-2048-513]": 0.00249038700002302,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-True-torch.int8-128-2048-512]": 0.0023854279999966366,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-True-torch.int8-128-2048-513]": 0.002409089999986236,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-True-torch.int8-16-2048-512]": 0.002632204000008187,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-True-torch.int8-16-2048-513]": 0.0023943790000089393,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-True-torch.int8-32-2048-512]": 0.002419587000019874,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-True-torch.int8-32-2048-513]": 0.0030364639999902465,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-True-torch.int8-64-2048-512]": 0.0024048010000115028,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-True-torch.int8-64-2048-513]": 0.002394336999969937,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-False-torch.float8_e4m3fn-128-2048-512]": 0.0013937790000113637,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-False-torch.float8_e4m3fn-128-2048-513]": 0.0010519719999990684,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-False-torch.float8_e4m3fn-16-2048-512]": 0.0012701400000025842,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-False-torch.float8_e4m3fn-16-2048-513]": 0.0012761620000105722,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-False-torch.float8_e4m3fn-32-2048-512]": 0.0013099839999881624,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-False-torch.float8_e4m3fn-32-2048-513]": 0.00129781400002571,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-False-torch.float8_e4m3fn-64-2048-512]": 0.0012997200000199882,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-False-torch.float8_e4m3fn-64-2048-513]": 0.0010013710000009723,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-False-torch.int8-128-2048-512]": 0.0009465770000076645,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-False-torch.int8-128-2048-513]": 0.0009526620000031016,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-False-torch.int8-16-2048-512]": 0.0010229710000260184,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-False-torch.int8-16-2048-513]": 0.0009920119999833332,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-False-torch.int8-32-2048-512]": 0.0009955710000042473,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-False-torch.int8-32-2048-513]": 0.0009588309999912781,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-False-torch.int8-64-2048-512]": 0.0009489710000423202,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-False-torch.int8-64-2048-513]": 0.0009327989999974307,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-True-torch.float8_e4m3fn-128-2048-512]": 0.002599164999992354,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-True-torch.float8_e4m3fn-128-2048-513]": 0.00270208099999536,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-True-torch.float8_e4m3fn-16-2048-512]": 0.0019744709999827137,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-True-torch.float8_e4m3fn-16-2048-513]": 0.002059626000004755,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-True-torch.float8_e4m3fn-32-2048-512]": 0.002003030999986777,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-True-torch.float8_e4m3fn-32-2048-513]": 0.0019698589999563865,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-True-torch.float8_e4m3fn-64-2048-512]": 0.0029643350000014834,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-True-torch.float8_e4m3fn-64-2048-513]": 0.0026759349999849746,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-True-torch.int8-128-2048-512]": 0.0034896889999629366,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-True-torch.int8-128-2048-513]": 0.00343791499997792,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-True-torch.int8-16-2048-512]": 0.0028009099999906084,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-True-torch.int8-16-2048-513]": 0.002516138000032697,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-True-torch.int8-32-2048-512]": 0.0025233710000236442,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-True-torch.int8-32-2048-513]": 0.006905336999977862,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-True-torch.int8-64-2048-512]": 0.00845112999999742,
-"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-True-torch.int8-64-2048-513]": 0.0019849740000097427,
-"tests/suites/flashinfer/test_rope_quantize_fp8.py::Test_FlashInfer_RopeQuantizeFp8::test_op[cutile-torch.float8_e4m3fn-torch.bfloat16-False-10000-4096-64-576-128-128]": 4.422321829999987,
-"tests/suites/flashinfer/test_rope_quantize_fp8.py::Test_FlashInfer_RopeQuantizeFp8::test_op[cutile-torch.float8_e4m3fn-torch.bfloat16-False-10000-4096-64-576-128-19]": 4.429476450999999,
-"tests/suites/flashinfer/test_rope_quantize_fp8.py::Test_FlashInfer_RopeQuantizeFp8::test_op[cutile-torch.float8_e4m3fn-torch.bfloat16-False-10000-4096-64-576-128-1]": 6.093136446999978,
-"tests/suites/flashinfer/test_rope_quantize_fp8.py::Test_FlashInfer_RopeQuantizeFp8::test_op[cutile-torch.float8_e4m3fn-torch.float16-False-10000-4096-64-576-128-128]": 4.46835468300003,
-"tests/suites/flashinfer/test_rope_quantize_fp8.py::Test_FlashInfer_RopeQuantizeFp8::test_op[cutile-torch.float8_e4m3fn-torch.float16-False-10000-4096-64-576-128-19]": 4.321749486000016,
-"tests/suites/flashinfer/test_rope_quantize_fp8.py::Test_FlashInfer_RopeQuantizeFp8::test_op[cutile-torch.float8_e4m3fn-torch.float16-False-10000-4096-64-576-128-1]": 6.773969932,
-"tests/suites/flashinfer/test_rope_quantize_fp8.py::Test_FlashInfer_RopeQuantizeFp8::test_op[cutile-torch.float8_e5m2-torch.bfloat16-False-10000-4096-64-576-128-128]": 4.402505599999984,
-"tests/suites/flashinfer/test_rope_quantize_fp8.py::Test_FlashInfer_RopeQuantizeFp8::test_op[cutile-torch.float8_e5m2-torch.bfloat16-False-10000-4096-64-576-128-19]": 4.293014835999941,
-"tests/suites/flashinfer/test_rope_quantize_fp8.py::Test_FlashInfer_RopeQuantizeFp8::test_op[cutile-torch.float8_e5m2-torch.bfloat16-False-10000-4096-64-576-128-1]": 6.036609229999954,
-"tests/suites/flashinfer/test_rope_quantize_fp8.py::Test_FlashInfer_RopeQuantizeFp8::test_op[cutile-torch.float8_e5m2-torch.float16-False-10000-4096-64-576-128-128]": 4.296337498000014,
-"tests/suites/flashinfer/test_rope_quantize_fp8.py::Test_FlashInfer_RopeQuantizeFp8::test_op[cutile-torch.float8_e5m2-torch.float16-False-10000-4096-64-576-128-19]": 4.286224460999989,
-"tests/suites/flashinfer/test_rope_quantize_fp8.py::Test_FlashInfer_RopeQuantizeFp8::test_op[cutile-torch.float8_e5m2-torch.float16-False-10000-4096-64-576-128-1]": 6.497528299999999,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_backward[cutile-0.0-4-128-torch.bfloat16]": 0.379818145999991,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_backward[cutile-0.0-4-128-torch.float16]": 0.3648856639999849,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_backward[cutile-0.0-6-300-torch.float32]": 0.40317631700003176,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_backward[cutile-0.0-63-41-torch.float32]": 0.3609889690000614,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_backward[cutile-0.0-8-512-torch.float32]": 3.3540624800000387,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_backward[cutile-0.1-4-128-torch.bfloat16]": 0.4015830079999887,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_backward[cutile-0.1-4-128-torch.float16]": 0.409809078999956,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_backward[cutile-0.1-6-300-torch.float32]": 0.4099561350000158,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_backward[cutile-0.1-63-41-torch.float32]": 0.39212041899997985,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_backward[cutile-0.1-8-512-torch.float32]": 0.6954730529999438,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_forward[cutile-mean-1269-32000-torch.float32]": 3.160911125000041,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_forward[cutile-mean-4-128-torch.bfloat16]": 2.570868039000061,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_forward[cutile-mean-4-128-torch.float16]": 2.7095592389999865,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_forward[cutile-mean-4-256-torch.float32]": 3.181209410000065,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_forward[cutile-mean-6-300-torch.float32]": 1.721493301999942,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_forward[cutile-mean-63-41-torch.float32]": 3.5110982759999843,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_forward[cutile-mean-8-1024-torch.float32]": 2.194189193999989,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_forward[cutile-sum-1269-32000-torch.float32]": 0.5789274429999978,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_forward[cutile-sum-4-128-torch.bfloat16]": 0.30681820900002776,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_forward[cutile-sum-4-128-torch.float16]": 0.35131119499999386,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_forward[cutile-sum-4-256-torch.float32]": 0.3075265970000487,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_forward[cutile-sum-6-300-torch.float32]": 0.30609461599999577,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_forward[cutile-sum-63-41-torch.float32]": 0.3133414809999522,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_forward[cutile-sum-8-1024-torch.float32]": 0.45131322200001023,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_ignore_index[cutile-4-256-torch.float32]": 0.39616800800001784,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_ignore_index[cutile-8-512-torch.float32]": 0.13955819800003155,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_predicted_tokens[cutile-4-128-torch.float32]": 0.3807122290000393,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_predicted_tokens[cutile-8-256-torch.float32]": 0.32133944800000336,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_reduction_none[cutile-4-128-torch.bfloat16]": 0.11736035600000605,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_reduction_none[cutile-4-128-torch.float16]": 0.13533503799993696,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_reduction_none[cutile-8-512-torch.float32]": 0.4786525860000097,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_softcap[cutile-30.0-4-128-torch.float32]": 0.558842664999986,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_softcap[cutile-30.0-8-512-torch.float32]": 0.5754022849999387,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_softcap[cutile-50.0-4-128-torch.float32]": 0.12197706400002062,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_softcap[cutile-50.0-8-512-torch.float32]": 0.14610924699996986,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_token_accuracy[cutile-4-128-torch.float32]": 0.3175275949998877,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_token_accuracy[cutile-8-256-torch.float32]": 0.3510554390000493,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_weight[cutile-4-128-torch.bfloat16]": 0.342138293000005,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_weight[cutile-8-512-torch.float32]": 0.5401239070000088,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_z_loss[cutile-0.0001-4-128-torch.float32]": 0.28947746000005736,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_z_loss[cutile-0.0001-8-512-torch.float32]": 0.49618863500001,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_z_loss[cutile-0.01-4-128-torch.float32]": 0.29698428200003946,
-"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_z_loss[cutile-0.01-8-512-torch.float32]": 0.49596251399998437,
-"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op[cutile-False-(1, 1, 1023)-torch.float32]": 0.2635048359999814,
-"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op[cutile-False-(2, 4, 512)-torch.float32]": 0.21429491100008136,
-"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op[cutile-False-(2, 8, 4096)-torch.float32]": 0.270570189999944,
-"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op[cutile-False-(3, 7, 256)-torch.float32]": 0.12626309599994556,
-"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op[cutile-False-(4, 16, 2048)-torch.float32]": 0.23967090900003996,
-"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op[cutile-False-(4, 256)-torch.bfloat16]": 0.2197506559999738,
-"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op[cutile-False-(4, 256)-torch.float16]": 0.2158598680000523,
-"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op[cutile-False-(4, 256)-torch.float32]": 0.21288227700000562,
-"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op[cutile-False-(4, 300)-torch.float32]": 0.26061775300001955,
-"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op[cutile-True-(1, 1, 1023)-torch.float32]": 0.2861739650000459,
-"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op[cutile-True-(2, 4, 512)-torch.float32]": 0.22894521400002077,
-"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op[cutile-True-(2, 8, 4096)-torch.float32]": 0.26558614800001124,
-"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op[cutile-True-(3, 7, 256)-torch.float32]": 0.2639187770000717,
-"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op[cutile-True-(4, 16, 2048)-torch.float32]": 0.2630981199999951,
-"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op[cutile-True-(4, 256)-torch.bfloat16]": 0.21531280500005323,
-"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op[cutile-True-(4, 256)-torch.float16]": 0.14850756499998852,
-"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op[cutile-True-(4, 256)-torch.float32]": 0.15399357699993743,
-"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op[cutile-True-(4, 300)-torch.float32]": 0.27627422899996645,
-"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op_backward[cutile-False-(1, 1, 1023)-torch.float32]": 0.32732264000003397,
-"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op_backward[cutile-False-(2, 8, 4096)-torch.float32]": 0.3082617750000054,
-"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op_backward[cutile-False-(3, 7, 256)-torch.float32]": 0.2963613359999613,
-"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op_backward[cutile-False-(4, 16, 2048)-torch.float32]": 0.2942472840000505,
-"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op_backward[cutile-False-(4, 256)-torch.bfloat16]": 0.26688676100008024,
-"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op_backward[cutile-False-(4, 256)-torch.float16]": 0.2782328429999552,
-"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op_backward[cutile-False-(4, 256)-torch.float32]": 0.26916963899998336,
-"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op_backward[cutile-False-(8, 512)-torch.float32]": 0.2800937689999614,
-"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op_backward[cutile-True-(1, 1, 1023)-torch.float32]": 0.36573328300005414,
-"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op_backward[cutile-True-(2, 8, 4096)-torch.float32]": 0.31654005400002916,
-"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op_backward[cutile-True-(3, 7, 256)-torch.float32]": 0.30947869999999966,
-"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op_backward[cutile-True-(4, 16, 2048)-torch.float32]": 0.29787492699995255,
-"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op_backward[cutile-True-(4, 256)-torch.bfloat16]": 0.2872045139999386,
-"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op_backward[cutile-True-(4, 256)-torch.float16]": 0.37859116100008805,
-"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op_backward[cutile-True-(4, 256)-torch.float32]": 0.26870452500008923,
-"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op_backward[cutile-True-(8, 512)-torch.float32]": 0.30378763700002764,
-"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_backward[cutile-0.0-(2, 128, 512)-torch.float32]": 0.2815592980000474,
-"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_backward[cutile-0.0-(4, 256)-torch.bfloat16]": 0.40811988000007204,
-"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_backward[cutile-0.0-(4, 256)-torch.float16]": 0.4282282649999729,
-"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_backward[cutile-0.0-(4, 256)-torch.float32]": 0.4210465610000256,
-"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_backward[cutile-0.0-(8, 512)-torch.float32]": 0.40686332500001754,
-"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_backward[cutile-0.0-(9, 7, 41)-torch.float32]": 0.3927937610000072,
-"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_backward[cutile-1.0-(2, 128, 512)-torch.float32]": 0.3209429869999667,
-"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_backward[cutile-1.0-(4, 256)-torch.bfloat16]": 0.30116308900005606,
-"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_backward[cutile-1.0-(4, 256)-torch.float16]": 0.2818374539999695,
-"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_backward[cutile-1.0-(4, 256)-torch.float32]": 0.2954302819999839,
-"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_backward[cutile-1.0-(8, 512)-torch.float32]": 0.29372613600003206,
-"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_backward[cutile-1.0-(9, 7, 41)-torch.float32]": 0.3010073989999569,
-"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_casting_modes[cutile-gemma]": 1.0009266440000033,
-"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_casting_modes[cutile-llama]": 0.12444230800002742,
-"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_casting_modes[cutile-none]": 1.0769020800000249,
-"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_forward[cutile-0.0-(16, 1024)-torch.float32]": 1.266628039000011,
-"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_forward[cutile-0.0-(2, 128, 512)-torch.float32]": 0.2574286709999569,
-"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_forward[cutile-0.0-(2, 4, 512)-torch.float32]": 0.13434257899996283,
-"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_forward[cutile-0.0-(4, 256)-torch.bfloat16]": 1.0055197759999714,
-"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_forward[cutile-0.0-(4, 256)-torch.float16]": 0.996433173000014,
-"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_forward[cutile-0.0-(4, 256)-torch.float32]": 0.9890289969999913,
-"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_forward[cutile-0.0-(4, 300)-torch.float32]": 1.2910279889999288,
-"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_forward[cutile-0.0-(8, 512)-torch.float32]": 1.0407075889999646,
-"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_forward[cutile-0.0-(9, 7, 41)-torch.float32]": 1.0268256179999753,
-"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_forward[cutile-1.0-(16, 1024)-torch.float32]": 0.27732648500000323,
-"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_forward[cutile-1.0-(2, 128, 512)-torch.float32]": 0.2819659050000496,
-"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_forward[cutile-1.0-(2, 4, 512)-torch.float32]": 0.12178856400004179,
-"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_forward[cutile-1.0-(4, 256)-torch.bfloat16]": 0.2459941600000093,
-"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_forward[cutile-1.0-(4, 256)-torch.float16]": 0.3390708750000613,
-"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_forward[cutile-1.0-(4, 256)-torch.float32]": 0.23497518000004902,
-"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_forward[cutile-1.0-(4, 300)-torch.float32]": 0.25844820700007176,
-"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_forward[cutile-1.0-(8, 512)-torch.float32]": 0.26157047799995325,
-"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_forward[cutile-1.0-(9, 7, 41)-torch.float32]": 0.2567524780000099,
-"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_backward[cutile-4-64-128-torch.bfloat16]": 0.3749721660000205,
-"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_backward[cutile-4-64-128-torch.float16]": 0.38645493100000294,
-"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_backward[cutile-4-64-128-torch.float32]": 0.3599989219999884,
-"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_backward[cutile-63-41-41-torch.float32]": 0.3509176039999602,
-"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_backward[cutile-8-128-256-torch.float32]": 0.3935359469999753,
-"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_features[cutile]": 0.8931195850000222,
-"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_forward[cutile-mean-1024-1024-4096-torch.float32]": 2.428276935000042,
-"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_forward[cutile-mean-4-64-128-torch.bfloat16]": 0.6381496719999404,
-"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_forward[cutile-mean-4-64-128-torch.float16]": 0.6213224749999426,
-"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_forward[cutile-mean-4-64-128-torch.float32]": 3.3926111909999577,
-"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_forward[cutile-mean-6-64-150-torch.float32]": 2.2455626359999883,
-"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_forward[cutile-mean-63-41-41-torch.float32]": 0.5428794389999325,
-"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_forward[cutile-mean-8-128-256-torch.float32]": 0.4926945290000617,
-"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_forward[cutile-sum-1024-1024-4096-torch.float32]": 0.4546600199999489,
-"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_forward[cutile-sum-4-64-128-torch.bfloat16]": 0.30030336400000124,
-"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_forward[cutile-sum-4-64-128-torch.float16]": 0.35093713000009075,
-"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_forward[cutile-sum-4-64-128-torch.float32]": 0.30250346699995134,
-"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_forward[cutile-sum-6-64-150-torch.float32]": 0.3194214470000247,
-"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_forward[cutile-sum-63-41-41-torch.float32]": 0.33141202400003067,
-"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_forward[cutile-sum-8-128-256-torch.float32]": 0.29352554700000155,
-"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_with_bias[cutile-4-64-128-torch.float16]": 0.10442059199999676,
-"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_with_bias[cutile-4-64-128-torch.float32]": 0.12437336799996501,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_backward[cutile-1-64-128-torch.float32]": 0.13061373199997206,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_backward[cutile-188-31-123-torch.float32]": 0.10401794000000564,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_backward[cutile-4-64-128-torch.bfloat16]": 0.14585906199999954,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_backward[cutile-4-64-128-torch.float16]": 0.14507258699995873,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_backward[cutile-4-64-128-torch.float32]": 0.15756124499995394,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_backward[cutile-63-41-41-torch.float32]": 0.10084613899999795,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_backward[cutile-8-128-256-torch.float32]": 0.11557211900003495,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_forward[cutile-0.1-1-64-128-torch.float32]": 0.1296558839999875,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_forward[cutile-0.1-188-31-123-torch.float32]": 0.46081631099997367,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_forward[cutile-0.1-3-7-11-torch.float32]": 0.3818288779999648,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_forward[cutile-0.1-4-64-128-torch.bfloat16]": 0.11006614899997658,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_forward[cutile-0.1-4-64-128-torch.float16]": 0.12957521699996732,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_forward[cutile-0.1-4-64-128-torch.float32]": 0.2832122000000368,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_forward[cutile-0.1-4-64-32768-torch.float32]": 0.6164528519999521,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_forward[cutile-0.1-63-41-41-torch.float32]": 0.24700828499993577,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_forward[cutile-0.1-8-128-256-torch.float32]": 0.2838281040000652,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_forward[cutile-0.5-1-64-128-torch.float32]": 0.13623359199993956,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_forward[cutile-0.5-188-31-123-torch.float32]": 0.40850846299997556,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_forward[cutile-0.5-3-7-11-torch.float32]": 0.3921210450000103,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_forward[cutile-0.5-4-64-128-torch.bfloat16]": 0.10292532300002222,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_forward[cutile-0.5-4-64-128-torch.float16]": 0.12865193900000804,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_forward[cutile-0.5-4-64-128-torch.float32]": 0.270669923000014,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_forward[cutile-0.5-4-64-32768-torch.float32]": 0.6206561860000193,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_forward[cutile-0.5-63-41-41-torch.float32]": 0.23142654800000173,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_forward[cutile-0.5-8-128-256-torch.float32]": 0.2958168709999427,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-42-0.5-0.2-1024-1024-4096-torch.bfloat16]": 0.7059056290000285,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-42-0.5-0.2-1024-1024-4096-torch.float32]": 0.15015266200003907,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-42-0.5-0.2-141-31-123-torch.bfloat16]": 0.4912041709999926,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-42-0.5-0.2-141-31-123-torch.float32]": 0.13825898399994685,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-42-1.0-0.5-1024-1024-4096-torch.bfloat16]": 0.6781390420000548,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-42-1.0-0.5-1024-1024-4096-torch.float32]": 0.13063072199997805,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-42-1.0-0.5-141-31-123-torch.bfloat16]": 0.4177853599999821,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-42-1.0-0.5-141-31-123-torch.float32]": 0.12946166099999346,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-42-2.0-0.8-1024-1024-4096-torch.bfloat16]": 0.7515545449999763,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-42-2.0-0.8-1024-1024-4096-torch.float32]": 0.13275465000003805,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-42-2.0-0.8-141-31-123-torch.bfloat16]": 0.43759040399999094,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-42-2.0-0.8-141-31-123-torch.float32]": 0.13328161500004398,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-_100-0.5-0.2-1024-1024-4096-torch.bfloat16]": 0.692591779000054,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-_100-0.5-0.2-1024-1024-4096-torch.float32]": 0.1290601779999747,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-_100-0.5-0.2-141-31-123-torch.bfloat16]": 0.4456057560000204,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-_100-0.5-0.2-141-31-123-torch.float32]": 0.1390929039999378,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-_100-1.0-0.5-1024-1024-4096-torch.bfloat16]": 0.7129217930000777,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-_100-1.0-0.5-1024-1024-4096-torch.float32]": 0.13821379299997716,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-_100-1.0-0.5-141-31-123-torch.bfloat16]": 0.4507779329999835,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-_100-1.0-0.5-141-31-123-torch.float32]": 0.15111299500006226,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-_100-2.0-0.8-1024-1024-4096-torch.bfloat16]": 0.7616332710000506,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-_100-2.0-0.8-1024-1024-4096-torch.float32]": 0.14211394300002667,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-_100-2.0-0.8-141-31-123-torch.bfloat16]": 0.48317339399989123,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-_100-2.0-0.8-141-31-123-torch.float32]": 0.14454519100002017,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_with_labels[cutile-16-64-128-torch.float32]": 0.14098488500002304,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_with_labels[cutile-4-64-128-torch.float32]": 0.30629156500003774,
-"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_with_labels[cutile-8-128-256-torch.float32]": 0.34735127400000465,
-"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op[cutile-torch.bfloat16-3-(1, 1, 16, 32)]": 9.234989677999977,
-"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op[cutile-torch.bfloat16-3-(1, 2, 64, 32)]": 0.8407793979999951,
-"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op[cutile-torch.bfloat16-3-(2, 4, 32, 64)]": 10.274809227000048,
-"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op[cutile-torch.bfloat16-7-(1, 1, 16, 32)]": 0.6495614170000295,
-"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op[cutile-torch.bfloat16-7-(1, 2, 64, 32)]": 0.5139435100000469,
-"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op[cutile-torch.bfloat16-7-(2, 4, 32, 64)]": 0.8230611790000353,
-"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op[cutile-torch.float16-3-(1, 1, 16, 32)]": 9.264641014000006,
-"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op[cutile-torch.float16-3-(1, 2, 64, 32)]": 0.7598626760000116,
-"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op[cutile-torch.float16-3-(2, 4, 32, 64)]": 10.182950301999938,
-"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op[cutile-torch.float16-7-(1, 1, 16, 32)]": 0.7277264920000448,
-"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op[cutile-torch.float16-7-(1, 2, 64, 32)]": 0.7214517349999596,
-"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op[cutile-torch.float16-7-(2, 4, 32, 64)]": 0.566320103999999,
-"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op[cutile-torch.float32-3-(1, 1, 16, 32)]": 9.17226262999992,
-"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op[cutile-torch.float32-3-(1, 2, 64, 32)]": 14.821911311000008,
-"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op[cutile-torch.float32-3-(2, 4, 32, 64)]": 18.907695537999928,
-"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op[cutile-torch.float32-7-(1, 1, 16, 32)]": 14.567234485999961,
-"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op[cutile-torch.float32-7-(1, 2, 64, 32)]": 0.19789021700006515,
-"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op[cutile-torch.float32-7-(2, 4, 32, 64)]": 18.984154584000066,
-"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op_backward[cutile-(1, 1, 16, 32)]": 0.14162032800010138,
-"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op_backward[cutile-(1, 2, 64, 32)]": 0.12063179599999785,
-"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op_backward[cutile-(2, 4, 32, 64)]": 0.12426462999997057,
-"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op_dilation[cutile-1-(1, 1, 16, 32)]": 0.14030261400006339,
-"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op_dilation[cutile-1-(1, 2, 64, 32)]": 0.22174198399994793,
-"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op_dilation[cutile-1-(2, 4, 32, 64)]": 0.12861878600006094,
-"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op_dilation[cutile-2-(1, 1, 16, 32)]": 0.9729280630000403,
-"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op_dilation[cutile-2-(1, 2, 64, 32)]": 0.8851545279999868,
-"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op_dilation[cutile-2-(2, 4, 32, 64)]": 1.3465234529999748,
-"tests/suites/liger/test_geglu.py::Test_Liger_GEGLU::test_op_backward[cutile-(4, 256)-torch.bfloat16]": 0.2815402699999936,
-"tests/suites/liger/test_geglu.py::Test_Liger_GEGLU::test_op_backward[cutile-(4, 256)-torch.float16]": 0.262497294999946,
-"tests/suites/liger/test_geglu.py::Test_Liger_GEGLU::test_op_backward[cutile-(4, 256)-torch.float32]": 0.2765871670000024,
-"tests/suites/liger/test_geglu.py::Test_Liger_GEGLU::test_op_backward[cutile-(8, 512)-torch.float32]": 0.26390888600002427,
-"tests/suites/liger/test_geglu.py::Test_Liger_GEGLU::test_op_backward[cutile-(9, 41, 341)-torch.float32]": 0.32741563899992343,
-"tests/suites/liger/test_geglu.py::Test_Liger_GEGLU::test_op_backward[cutile-(9, 7, 41)-torch.float32]": 0.24201767900001414,
-"tests/suites/liger/test_geglu.py::Test_Liger_GEGLU::test_op_forward[cutile-(16, 1024)-torch.float32]": 0.2312800560000028,
-"tests/suites/liger/test_geglu.py::Test_Liger_GEGLU::test_op_forward[cutile-(2, 2, 8)-torch.float32]": 0.2570046650000677,
-"tests/suites/liger/test_geglu.py::Test_Liger_GEGLU::test_op_forward[cutile-(2, 4, 512)-torch.float32]": 0.13619086200003494,
-"tests/suites/liger/test_geglu.py::Test_Liger_GEGLU::test_op_forward[cutile-(4, 256)-torch.bfloat16]": 0.22729205299998512,
-"tests/suites/liger/test_geglu.py::Test_Liger_GEGLU::test_op_forward[cutile-(4, 256)-torch.float16]": 0.2335968060000937,
-"tests/suites/liger/test_geglu.py::Test_Liger_GEGLU::test_op_forward[cutile-(4, 256)-torch.float32]": 0.2111349890000156,
-"tests/suites/liger/test_geglu.py::Test_Liger_GEGLU::test_op_forward[cutile-(4, 300)-torch.float32]": 0.26037221700005375,
-"tests/suites/liger/test_geglu.py::Test_Liger_GEGLU::test_op_forward[cutile-(8, 512)-torch.float32]": 0.21903659000003017,
-"tests/suites/liger/test_geglu.py::Test_Liger_GEGLU::test_op_forward[cutile-(9, 41, 341)-torch.float32]": 0.2978285430000369,
-"tests/suites/liger/test_geglu.py::Test_Liger_GEGLU::test_op_forward[cutile-(9, 7, 41)-torch.float32]": 0.23437085400001934,
-"tests/suites/liger/test_group_norm.py::Test_Liger_GroupNorm::test_op_backward[cutile-2-4-2-8-torch.bfloat16]": 0.333594249999976,
-"tests/suites/liger/test_group_norm.py::Test_Liger_GroupNorm::test_op_backward[cutile-2-4-2-8-torch.float16]": 0.3393604340000138,
-"tests/suites/liger/test_group_norm.py::Test_Liger_GroupNorm::test_op_backward[cutile-2-4-2-8-torch.float32]": 0.3151261669999599,
-"tests/suites/liger/test_group_norm.py::Test_Liger_GroupNorm::test_op_backward[cutile-2-63-21-2163-torch.float32]": 0.6788409000000115,
-"tests/suites/liger/test_group_norm.py::Test_Liger_GroupNorm::test_op_backward[cutile-4-8-4-16-torch.float32]": 0.33366673399996216,
-"tests/suites/liger/test_group_norm.py::Test_Liger_GroupNorm::test_op_forward[cutile-16-32-1-4096-torch.float32]": 0.40998079600001347,
-"tests/suites/liger/test_group_norm.py::Test_Liger_GroupNorm::test_op_forward[cutile-2-4-2-8-torch.bfloat16]": 0.25382374399998753,
-"tests/suites/liger/test_group_norm.py::Test_Liger_GroupNorm::test_op_forward[cutile-2-4-2-8-torch.float16]": 0.276295771999969,
-"tests/suites/liger/test_group_norm.py::Test_Liger_GroupNorm::test_op_forward[cutile-2-4-2-8-torch.float32]": 0.29700012899996864,
-"tests/suites/liger/test_group_norm.py::Test_Liger_GroupNorm::test_op_forward[cutile-2-6-3-10-torch.float32]": 0.2786880639999936,
-"tests/suites/liger/test_group_norm.py::Test_Liger_GroupNorm::test_op_forward[cutile-2-63-21-2163-torch.float32]": 0.5292069809999589,
-"tests/suites/liger/test_group_norm.py::Test_Liger_GroupNorm::test_op_forward[cutile-4-8-4-16-torch.float32]": 0.2895203039999501,
-"tests/suites/liger/test_grpo_loss.py::Test_Liger_GrpoLoss::test_op[cutile-cispo-1-4-128]": 0.8623190000000704,
-"tests/suites/liger/test_grpo_loss.py::Test_Liger_GrpoLoss::test_op[cutile-cispo-2-8-256]": 0.8093943019999301,
-"tests/suites/liger/test_grpo_loss.py::Test_Liger_GrpoLoss::test_op[cutile-cispo-4-16-512]": 0.8789487599999575,
-"tests/suites/liger/test_grpo_loss.py::Test_Liger_GrpoLoss::test_op[cutile-grpo-1-4-128]": 0.8796952930000543,
-"tests/suites/liger/test_grpo_loss.py::Test_Liger_GrpoLoss::test_op[cutile-grpo-2-8-256]": 0.950683755,
-"tests/suites/liger/test_grpo_loss.py::Test_Liger_GrpoLoss::test_op[cutile-grpo-4-16-512]": 0.9466196860000196,
-"tests/suites/liger/test_grpo_loss.py::Test_Liger_GrpoLoss::test_op_backward[cutile]": 1.0329972950000297,
-"tests/suites/liger/test_grpo_loss.py::Test_Liger_GrpoLoss::test_op_with_kl[cutile-2-8-256]": 0.3204350159999194,
-"tests/suites/liger/test_grpo_loss.py::Test_Liger_GrpoLoss::test_op_with_mask[cutile-2-8-256]": 0.9781392899999446,
-"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op[cutile-16-1024-0.5-torch.float32]": 0.4577902450000124,
-"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op[cutile-4-256-0.0-torch.float32]": 0.2874218209999526,
-"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op[cutile-4-256-0.5-torch.bfloat16]": 0.34346896099998503,
-"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op[cutile-4-256-0.5-torch.float16]": 0.264479209000001,
-"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op[cutile-4-256-0.5-torch.float32]": 0.16111326700001882,
-"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op[cutile-4-256-1.0-torch.float32]": 0.28913875599999983,
-"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op[cutile-8-512-0.3-torch.float32]": 0.35919587799998,
-"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op[cutile-8-512-0.5-torch.float32]": 0.2919787469999733,
-"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op_all_ignored[cutile-20-32-torch.bfloat16]": 0.11588889299997618,
-"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op_all_ignored[cutile-20-32-torch.float32]": 0.13874779599996145,
-"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op_nondefault_ignore_index[cutile-16-1024-0.3-2-torch.bfloat16]": 0.5623627310000074,
-"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op_nondefault_ignore_index[cutile-8-512-0.5-2-torch.float32]": 0.34937917299998844,
-"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op_nondefault_ignore_index[cutile-8-512-0.5-42-torch.float32]": 0.3415405800000144,
-"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op_not_last_layer[cutile-16441-1271-0.5-torch.float32]": 0.5754381569999509,
-"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op_not_last_layer[cutile-2048-3200-0.5-torch.bfloat16]": 0.7639935499999524,
-"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op_not_last_layer[cutile-2048-3200-0.5-torch.float32]": 0.6131995320000101,
-"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op_not_last_layer[cutile-8-512-0.5-torch.float16]": 0.328431691999981,
-"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op_symmetry[cutile-16441-1271-torch.float32]": 0.11948138999997582,
-"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op_symmetry[cutile-2048-3200-torch.bfloat16]": 0.12606795399995008,
-"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op_symmetry[cutile-2048-3200-torch.float32]": 0.16556394500008764,
-"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op_with_labels[cutile-16-1024-0.5-torch.float32]": 0.4864762819999555,
-"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op_with_labels[cutile-8-512-0.5-torch.float32]": 0.340069925000023,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-batchmean-(16, 1024)-torch.float32]": 0.09366543000004413,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-batchmean-(4, 256)-torch.bfloat16]": 0.09267055399999435,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-batchmean-(4, 256)-torch.float16]": 0.09522952999998324,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-batchmean-(4, 256)-torch.float32]": 0.13124347999996644,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-batchmean-(4, 300)-torch.float32]": 0.09350290099996528,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-batchmean-(8, 512)-torch.float32]": 0.12788445000001047,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-mean-(16, 1024)-torch.float32]": 0.10568721100003131,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-mean-(4, 256)-torch.bfloat16]": 0.10084045600001446,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-mean-(4, 256)-torch.float16]": 0.09355430899995554,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-mean-(4, 256)-torch.float32]": 0.1469760750000546,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-mean-(4, 300)-torch.float32]": 0.09409216599999581,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-mean-(8, 512)-torch.float32]": 0.11240647199997511,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-none-(16, 1024)-torch.float32]": 0.24148958999995784,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-none-(4, 256)-torch.bfloat16]": 0.22407572200000914,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-none-(4, 256)-torch.float16]": 0.22926582399998097,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-none-(4, 256)-torch.float32]": 0.1986978930000305,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-none-(4, 300)-torch.float32]": 0.28432740699997794,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-none-(8, 512)-torch.float32]": 0.2141598110000018,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-sum-(16, 1024)-torch.float32]": 0.25848541700003125,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-sum-(4, 256)-torch.bfloat16]": 0.24864298600004986,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-sum-(4, 256)-torch.float16]": 0.25829549399998086,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-sum-(4, 256)-torch.float32]": 0.23771883900002422,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-sum-(4, 300)-torch.float32]": 0.30239559200003896,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-sum-(8, 512)-torch.float32]": 0.2451307100000122,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-batchmean-(16, 1024)-torch.float32]": 0.11781124699990642,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-batchmean-(4, 256)-torch.bfloat16]": 0.12373190299996395,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-batchmean-(4, 256)-torch.float16]": 0.11896896000001789,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-batchmean-(4, 256)-torch.float32]": 0.10430994799992277,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-batchmean-(4, 300)-torch.float32]": 0.12418865999995887,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-batchmean-(8, 512)-torch.float32]": 0.11099903599995287,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-mean-(16, 1024)-torch.float32]": 0.11453725699999495,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-mean-(4, 256)-torch.bfloat16]": 0.10107970000001387,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-mean-(4, 256)-torch.float16]": 0.11367509400002973,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-mean-(4, 256)-torch.float32]": 0.1328057319999516,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-mean-(4, 300)-torch.float32]": 0.10942242500004795,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-mean-(8, 512)-torch.float32]": 0.10272073100003354,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-none-(16, 1024)-torch.float32]": 0.23624789800004464,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-none-(4, 256)-torch.bfloat16]": 0.22786811200001011,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-none-(4, 256)-torch.float16]": 0.23235735199995133,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-none-(4, 256)-torch.float32]": 0.1943922030000067,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-none-(4, 300)-torch.float32]": 0.2687828560000298,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-none-(8, 512)-torch.float32]": 0.23797188699995786,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-sum-(16, 1024)-torch.float32]": 0.2406713130000071,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-sum-(4, 256)-torch.bfloat16]": 0.23851392799997484,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-sum-(4, 256)-torch.float16]": 0.23556907300002194,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-sum-(4, 256)-torch.float32]": 0.2462521910001101,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-sum-(4, 300)-torch.float32]": 0.2988604889999351,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-sum-(8, 512)-torch.float32]": 0.21677717500000426,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-False-batchmean-(16, 1024)-torch.float32]": 0.09900344499993707,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-False-batchmean-(4, 256)-torch.bfloat16]": 0.10168561000000409,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-False-batchmean-(4, 256)-torch.float16]": 0.1045315050000113,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-False-batchmean-(4, 256)-torch.float32]": 0.10024696599992922,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-False-batchmean-(4, 300)-torch.float32]": 0.09614502399995217,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-False-batchmean-(8, 512)-torch.float32]": 0.09774484099995107,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-False-mean-(16, 1024)-torch.float32]": 0.11533936299997549,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-False-mean-(4, 256)-torch.bfloat16]": 0.10963956800003416,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-False-mean-(4, 256)-torch.float16]": 0.1135712159999116,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-False-mean-(4, 256)-torch.float32]": 0.1307901820000552,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-False-mean-(4, 300)-torch.float32]": 0.09942755700006956,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-False-mean-(8, 512)-torch.float32]": 0.10863941900004193,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-False-sum-(16, 1024)-torch.float32]": 0.24483066599998438,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-False-sum-(4, 256)-torch.bfloat16]": 0.23643329200001517,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-False-sum-(4, 256)-torch.float16]": 0.23504991599997993,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-False-sum-(4, 256)-torch.float32]": 0.23081800099998873,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-False-sum-(4, 300)-torch.float32]": 0.3490863769999919,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-False-sum-(8, 512)-torch.float32]": 0.2327264829999649,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-True-batchmean-(16, 1024)-torch.float32]": 0.11076296299995647,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-True-batchmean-(4, 256)-torch.bfloat16]": 0.10806345500003545,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-True-batchmean-(4, 256)-torch.float16]": 0.10738246599999002,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-True-batchmean-(4, 256)-torch.float32]": 0.10495024200002945,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-True-batchmean-(4, 300)-torch.float32]": 0.10436307300005865,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-True-batchmean-(8, 512)-torch.float32]": 0.10762750199990023,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-True-mean-(16, 1024)-torch.float32]": 0.10861098899999888,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-True-mean-(4, 256)-torch.bfloat16]": 0.10686001599998463,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-True-mean-(4, 256)-torch.float16]": 0.10783704400000715,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-True-mean-(4, 256)-torch.float32]": 0.1357639859999722,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-True-mean-(4, 300)-torch.float32]": 0.11287432199998193,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-True-mean-(8, 512)-torch.float32]": 0.11523748199999773,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-True-sum-(16, 1024)-torch.float32]": 0.23557057300001816,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-True-sum-(4, 256)-torch.bfloat16]": 0.23181284799989044,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-True-sum-(4, 256)-torch.float16]": 0.23382750700005772,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-True-sum-(4, 256)-torch.float32]": 0.19270603600006098,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-True-sum-(4, 300)-torch.float32]": 0.2726386250000701,
-"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-True-sum-(8, 512)-torch.float32]": 0.23609806399997524,
-"tests/suites/liger/test_layer_norm.py::Test_Liger_LayerNorm::test_op[cutile-(16, 1024)-torch.float32]": 0.2856756709999786,
-"tests/suites/liger/test_layer_norm.py::Test_Liger_LayerNorm::test_op[cutile-(2, 4, 512)-torch.float32]": 0.1720510899999681,
-"tests/suites/liger/test_layer_norm.py::Test_Liger_LayerNorm::test_op[cutile-(4, 256)-torch.bfloat16]": 0.32817168200000424,
-"tests/suites/liger/test_layer_norm.py::Test_Liger_LayerNorm::test_op[cutile-(4, 256)-torch.float16]": 0.26339214299997593,
-"tests/suites/liger/test_layer_norm.py::Test_Liger_LayerNorm::test_op[cutile-(4, 256)-torch.float32]": 0.2370314209999833,
-"tests/suites/liger/test_layer_norm.py::Test_Liger_LayerNorm::test_op[cutile-(4, 300)-torch.float32]": 0.28623422499998696,
-"tests/suites/liger/test_layer_norm.py::Test_Liger_LayerNorm::test_op[cutile-(8, 512)-torch.float32]": 0.2576301239999452,
-"tests/suites/liger/test_layer_norm.py::Test_Liger_LayerNorm::test_op_backward[cutile-(16, 1024)-torch.float32]": 0.32725877099994705,
-"tests/suites/liger/test_layer_norm.py::Test_Liger_LayerNorm::test_op_backward[cutile-(2, 4, 512)-torch.float32]": 0.13838748700004544,
-"tests/suites/liger/test_layer_norm.py::Test_Liger_LayerNorm::test_op_backward[cutile-(4, 256)-torch.bfloat16]": 0.29161081399996647,
-"tests/suites/liger/test_layer_norm.py::Test_Liger_LayerNorm::test_op_backward[cutile-(4, 256)-torch.float16]": 0.30402560299995685,
-"tests/suites/liger/test_layer_norm.py::Test_Liger_LayerNorm::test_op_backward[cutile-(4, 256)-torch.float32]": 0.30969124299997475,
-"tests/suites/liger/test_layer_norm.py::Test_Liger_LayerNorm::test_op_backward[cutile-(4, 300)-torch.float32]": 0.308890942000005,
-"tests/suites/liger/test_layer_norm.py::Test_Liger_LayerNorm::test_op_backward[cutile-(8, 512)-torch.float32]": 0.32381828800004087,
-"tests/suites/liger/test_llama4_rope.py::Test_Liger_Llama4Rope::test_op[cutile-(1, 16, 8, 128)-torch.float32]": 0.2600568160000307,
-"tests/suites/liger/test_llama4_rope.py::Test_Liger_Llama4Rope::test_op[cutile-(1, 4, 2, 48)-torch.float32]": 0.2577741900000774,
-"tests/suites/liger/test_llama4_rope.py::Test_Liger_Llama4Rope::test_op[cutile-(2, 8, 4, 64)-torch.bfloat16]": 0.2747740789999398,
-"tests/suites/liger/test_llama4_rope.py::Test_Liger_Llama4Rope::test_op[cutile-(2, 8, 4, 64)-torch.float16]": 0.26404408400003376,
-"tests/suites/liger/test_llama4_rope.py::Test_Liger_Llama4Rope::test_op[cutile-(2, 8, 4, 64)-torch.float32]": 0.25635744300001306,
-"tests/suites/liger/test_llama4_rope.py::Test_Liger_Llama4Rope::test_op_backward[cutile-(2, 8, 4, 64)-torch.bfloat16]": 0.2721970910000664,
-"tests/suites/liger/test_llama4_rope.py::Test_Liger_Llama4Rope::test_op_backward[cutile-(2, 8, 4, 64)-torch.float16]": 0.2497211870000342,
-"tests/suites/liger/test_llama4_rope.py::Test_Liger_Llama4Rope::test_op_backward[cutile-(2, 8, 4, 64)-torch.float32]": 0.26610899799993604,
-"tests/suites/liger/test_modulated_rms_norm.py::Test_Liger_ModulatedRMSNorm::test_op[cutile-torch.bfloat16-(64, 512)-per_token]": 0.26926677099999097,
-"tests/suites/liger/test_modulated_rms_norm.py::Test_Liger_ModulatedRMSNorm::test_op[cutile-torch.bfloat16-(64, 512)-shared]": 0.26079465000003665,
-"tests/suites/liger/test_modulated_rms_norm.py::Test_Liger_ModulatedRMSNorm::test_op[cutile-torch.bfloat16-(8, 128)-per_token]": 0.2840044769999963,
-"tests/suites/liger/test_modulated_rms_norm.py::Test_Liger_ModulatedRMSNorm::test_op[cutile-torch.bfloat16-(8, 128)-shared]": 0.2836450189999482,
-"tests/suites/liger/test_modulated_rms_norm.py::Test_Liger_ModulatedRMSNorm::test_op[cutile-torch.float16-(64, 512)-per_token]": 0.2610631729999682,
-"tests/suites/liger/test_modulated_rms_norm.py::Test_Liger_ModulatedRMSNorm::test_op[cutile-torch.float16-(64, 512)-shared]": 0.26109641800002237,
-"tests/suites/liger/test_modulated_rms_norm.py::Test_Liger_ModulatedRMSNorm::test_op[cutile-torch.float16-(8, 128)-per_token]": 0.2433949489999918,
-"tests/suites/liger/test_modulated_rms_norm.py::Test_Liger_ModulatedRMSNorm::test_op[cutile-torch.float16-(8, 128)-shared]": 0.2636863710000057,
-"tests/suites/liger/test_modulated_rms_norm.py::Test_Liger_ModulatedRMSNorm::test_op[cutile-torch.float32-(64, 512)-per_token]": 0.26737971900001867,
-"tests/suites/liger/test_modulated_rms_norm.py::Test_Liger_ModulatedRMSNorm::test_op[cutile-torch.float32-(64, 512)-shared]": 0.25291841199998544,
-"tests/suites/liger/test_modulated_rms_norm.py::Test_Liger_ModulatedRMSNorm::test_op[cutile-torch.float32-(8, 128)-per_token]": 0.24825860900000407,
-"tests/suites/liger/test_modulated_rms_norm.py::Test_Liger_ModulatedRMSNorm::test_op[cutile-torch.float32-(8, 128)-shared]": 0.2699248999999213,
-"tests/suites/liger/test_modulated_rms_norm.py::Test_Liger_ModulatedRMSNorm::test_op_backward[cutile-torch.float32-(64, 512)-per_token]": 0.2959113580000121,
-"tests/suites/liger/test_modulated_rms_norm.py::Test_Liger_ModulatedRMSNorm::test_op_backward[cutile-torch.float32-(64, 512)-shared]": 0.3234623710000051,
-"tests/suites/liger/test_modulated_rms_norm.py::Test_Liger_ModulatedRMSNorm::test_op_backward[cutile-torch.float32-(8, 128)-per_token]": 0.3141607620000286,
-"tests/suites/liger/test_modulated_rms_norm.py::Test_Liger_ModulatedRMSNorm::test_op_backward[cutile-torch.float32-(8, 128)-shared]": 0.32091786099994124,
-"tests/suites/liger/test_modulated_rms_norm.py::Test_Liger_ModulatedRMSNorm::test_op_casting_modes[cutile-gemma]": 0.23784995599999093,
-"tests/suites/liger/test_modulated_rms_norm.py::Test_Liger_ModulatedRMSNorm::test_op_casting_modes[cutile-llama]": 0.1370767439999554,
-"tests/suites/liger/test_modulated_rms_norm.py::Test_Liger_ModulatedRMSNorm::test_op_casting_modes[cutile-none]": 0.25702521300007675,
-"tests/suites/liger/test_modulated_rms_norm.py::Test_Liger_ModulatedRMSNorm::test_op_no_shift[cutile]": 0.45188440800001217,
-"tests/suites/liger/test_multi_token_attention.py::Test_Liger_MultiTokenAttention::test_op[cutile-(1, 2, 16)-torch.float32]": 0.3811860650000085,
-"tests/suites/liger/test_multi_token_attention.py::Test_Liger_MultiTokenAttention::test_op[cutile-(2, 1, 8)-torch.bfloat16]": 0.4543372869999871,
-"tests/suites/liger/test_multi_token_attention.py::Test_Liger_MultiTokenAttention::test_op[cutile-(2, 1, 8)-torch.float16]": 0.13876650499992138,
-"tests/suites/liger/test_multi_token_attention.py::Test_Liger_MultiTokenAttention::test_op[cutile-(2, 1, 8)-torch.float32]": 0.4059867529999792,
-"tests/suites/liger/test_multi_token_attention.py::Test_Liger_MultiTokenAttention::test_op_backward[cutile-(1, 1, 16)-torch.float32]": 0.36533959399997684,
-"tests/suites/liger/test_multi_token_attention.py::Test_Liger_MultiTokenAttention::test_op_backward[cutile-(2, 1, 8)-torch.float32]": 0.3528440989999808,
-"tests/suites/liger/test_multi_token_attention.py::Test_Liger_MultiTokenAttention::test_op_backward_conv_params[cutile-2-1-8-1-torch.float32]": 0.16146606099999872,
-"tests/suites/liger/test_multi_token_attention.py::Test_Liger_MultiTokenAttention::test_op_backward_conv_params[cutile-2-2-8-1-torch.float32]": 0.1343358189999435,
-"tests/suites/liger/test_multi_token_attention.py::Test_Liger_MultiTokenAttention::test_op_backward_conv_params[cutile-2-2-8-2-torch.bfloat16]": 0.3299980309999455,
-"tests/suites/liger/test_multi_token_attention.py::Test_Liger_MultiTokenAttention::test_op_backward_conv_params[cutile-2-2-8-2-torch.float32]": 0.11154870999996547,
-"tests/suites/liger/test_multi_token_attention.py::Test_Liger_MultiTokenAttention::test_op_with_bias[cutile-(2, 1, 8)-torch.bfloat16]": 0.1325867670000207,
-"tests/suites/liger/test_multi_token_attention.py::Test_Liger_MultiTokenAttention::test_op_with_bias[cutile-(2, 1, 8)-torch.float16]": 0.13974886299990885,
-"tests/suites/liger/test_multi_token_attention.py::Test_Liger_MultiTokenAttention::test_op_with_bias[cutile-(2, 1, 8)-torch.float32]": 0.1480583369999522,
-"tests/suites/liger/test_poly_norm.py::Test_Liger_PolyNorm::test_op[cutile-(16, 1024)-torch.float32]": 0.4557513190000009,
-"tests/suites/liger/test_poly_norm.py::Test_Liger_PolyNorm::test_op[cutile-(2, 4, 512)-torch.float32]": 0.1390834839999684,
-"tests/suites/liger/test_poly_norm.py::Test_Liger_PolyNorm::test_op[cutile-(4, 256)-torch.bfloat16]": 0.47883119499999793,
-"tests/suites/liger/test_poly_norm.py::Test_Liger_PolyNorm::test_op[cutile-(4, 256)-torch.float16]": 0.4497351559999174,
-"tests/suites/liger/test_poly_norm.py::Test_Liger_PolyNorm::test_op[cutile-(4, 256)-torch.float32]": 0.48260862799997994,
-"tests/suites/liger/test_poly_norm.py::Test_Liger_PolyNorm::test_op[cutile-(4, 300)-torch.float32]": 0.4554377479999516,
-"tests/suites/liger/test_poly_norm.py::Test_Liger_PolyNorm::test_op[cutile-(8, 512)-torch.float32]": 0.47858826199995974,
-"tests/suites/liger/test_poly_norm.py::Test_Liger_PolyNorm::test_op_backward[cutile-(4, 256)-torch.bfloat16]": 0.32603045000001885,
-"tests/suites/liger/test_poly_norm.py::Test_Liger_PolyNorm::test_op_backward[cutile-(4, 256)-torch.float16]": 0.33815738399999873,
-"tests/suites/liger/test_poly_norm.py::Test_Liger_PolyNorm::test_op_backward[cutile-(4, 256)-torch.float32]": 0.3196604269999739,
-"tests/suites/liger/test_poly_norm.py::Test_Liger_PolyNorm::test_op_backward[cutile-(8, 512)-torch.float32]": 0.33115211299997327,
-"tests/suites/liger/test_qwen2vl_mrope.py::Test_Liger_Qwen2VLMRope::test_op[cutile-(1, 2, 4, 48)-torch.float32]": 0.3026307860000088,
-"tests/suites/liger/test_qwen2vl_mrope.py::Test_Liger_Qwen2VLMRope::test_op[cutile-(1, 4, 8, 128)-torch.float32]": 0.3482843400000206,
-"tests/suites/liger/test_qwen2vl_mrope.py::Test_Liger_Qwen2VLMRope::test_op[cutile-(2, 8, 16, 64)-torch.bfloat16]": 0.33647474800000055,
-"tests/suites/liger/test_qwen2vl_mrope.py::Test_Liger_Qwen2VLMRope::test_op[cutile-(2, 8, 16, 64)-torch.float16]": 0.3281254400000648,
-"tests/suites/liger/test_qwen2vl_mrope.py::Test_Liger_Qwen2VLMRope::test_op[cutile-(2, 8, 16, 64)-torch.float32]": 0.3253525910000121,
-"tests/suites/liger/test_qwen2vl_mrope.py::Test_Liger_Qwen2VLMRope::test_op_backward[cutile-(2, 8, 16, 64)-torch.bfloat16]": 0.5042521320000901,
-"tests/suites/liger/test_qwen2vl_mrope.py::Test_Liger_Qwen2VLMRope::test_op_backward[cutile-(2, 8, 16, 64)-torch.float16]": 0.5147260079999683,
-"tests/suites/liger/test_qwen2vl_mrope.py::Test_Liger_Qwen2VLMRope::test_op_backward[cutile-(2, 8, 16, 64)-torch.float32]": 0.49184773299998596,
-"tests/suites/liger/test_relu_squared.py::Test_Liger_ReLUSquared::test_op[cutile-(1, 1, 1023)-torch.float32]": 0.2480095269999083,
-"tests/suites/liger/test_relu_squared.py::Test_Liger_ReLUSquared::test_op[cutile-(2, 4, 512)-torch.float32]": 0.21437805000005028,
-"tests/suites/liger/test_relu_squared.py::Test_Liger_ReLUSquared::test_op[cutile-(2, 8, 4096)-torch.float32]": 0.23900213599995368,
-"tests/suites/liger/test_relu_squared.py::Test_Liger_ReLUSquared::test_op[cutile-(3, 7, 256)-torch.float32]": 0.131413278000025,
-"tests/suites/liger/test_relu_squared.py::Test_Liger_ReLUSquared::test_op[cutile-(4, 16, 2048)-torch.float32]": 0.22468961300000956,
-"tests/suites/liger/test_relu_squared.py::Test_Liger_ReLUSquared::test_op[cutile-(4, 256)-torch.bfloat16]": 0.22017332300004,
-"tests/suites/liger/test_relu_squared.py::Test_Liger_ReLUSquared::test_op[cutile-(4, 256)-torch.float16]": 0.22120678600003885,
-"tests/suites/liger/test_relu_squared.py::Test_Liger_ReLUSquared::test_op[cutile-(4, 256)-torch.float32]": 0.2286510840000915,
-"tests/suites/liger/test_relu_squared.py::Test_Liger_ReLUSquared::test_op[cutile-(4, 300)-torch.float32]": 0.25446997599999577,
-"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op[cutile-(16, 1024)-torch.float32]": 0.24325194499999725,
-"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op[cutile-(2, 4, 512)-torch.float32]": 0.12916967599994678,
-"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op[cutile-(4, 256)-torch.bfloat16]": 0.25121591499998885,
-"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op[cutile-(4, 256)-torch.float16]": 0.2469593600000053,
-"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op[cutile-(4, 256)-torch.float32]": 0.19699383899995837,
-"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op[cutile-(4, 300)-torch.float32]": 0.23816735800005517,
-"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op[cutile-(8, 512)-torch.float32]": 0.23758295900000803,
-"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op_backward[cutile-(4, 256)-torch.bfloat16]": 0.28624768500003483,
-"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op_backward[cutile-(4, 256)-torch.float16]": 0.2800323059998959,
-"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op_backward[cutile-(4, 256)-torch.float32]": 0.22649855200000957,
-"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op_backward[cutile-(8, 512)-torch.float32]": 0.2651934550000874,
-"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op_casting_modes[cutile-(4, 256)-torch.bfloat16-gemma]": 0.23178914099997883,
-"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op_casting_modes[cutile-(4, 256)-torch.bfloat16-llama]": 0.13248091299999487,
-"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op_casting_modes[cutile-(4, 256)-torch.bfloat16-none]": 0.2521086699999273,
-"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op_casting_modes[cutile-(4, 256)-torch.float32-gemma]": 0.22395213099991906,
-"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op_casting_modes[cutile-(4, 256)-torch.float32-llama]": 0.1273590229999968,
-"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op_casting_modes[cutile-(4, 256)-torch.float32-none]": 0.2580410170000391,
-"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op_no_affine[cutile-(4, 256)-torch.bfloat16]": 0.24185257999999976,
-"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op_no_affine[cutile-(4, 256)-torch.float16]": 0.25961181200000283,
-"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op_no_affine[cutile-(4, 256)-torch.float32]": 0.24945223600002464,
-"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op_no_affine[cutile-(8, 512)-torch.float32]": 0.25092012400000385,
-"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op_with_offset[cutile-0.0-(4, 256)-torch.bfloat16]": 0.10760840499995084,
-"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op_with_offset[cutile-0.0-(4, 256)-torch.float16]": 0.12107590299996218,
-"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op_with_offset[cutile-0.0-(4, 256)-torch.float32]": 0.1366407179999669,
-"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op_with_offset[cutile-1.0-(4, 256)-torch.bfloat16]": 0.11495359199994937,
-"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op_with_offset[cutile-1.0-(4, 256)-torch.float16]": 0.1112785289999465,
-"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op_with_offset[cutile-1.0-(4, 256)-torch.float32]": 0.10952054200004113,
-"tests/suites/liger/test_rope.py::Test_Liger_Rope::test_op[cutile-False-(1, 2, 4, 48)-torch.float32]": 0.13822962099999359,
-"tests/suites/liger/test_rope.py::Test_Liger_Rope::test_op[cutile-False-(1, 4, 8, 128)-torch.float32]": 0.13281797399992,
-"tests/suites/liger/test_rope.py::Test_Liger_Rope::test_op[cutile-False-(2, 8, 16, 64)-torch.bfloat16]": 0.30177599899997176,
-"tests/suites/liger/test_rope.py::Test_Liger_Rope::test_op[cutile-False-(2, 8, 16, 64)-torch.float16]": 0.27296848600002477,
-"tests/suites/liger/test_rope.py::Test_Liger_Rope::test_op[cutile-False-(2, 8, 16, 64)-torch.float32]": 0.29564305500002774,
-"tests/suites/liger/test_rope.py::Test_Liger_Rope::test_op[cutile-False-(3, 4, 7, 64)-torch.float32]": 0.27092564700001276,
-"tests/suites/liger/test_rope.py::Test_Liger_Rope::test_op[cutile-True-(1, 2, 4, 48)-torch.float32]": 0.30190486500004,
-"tests/suites/liger/test_rope.py::Test_Liger_Rope::test_op[cutile-True-(1, 4, 8, 128)-torch.float32]": 0.305673699999943,
-"tests/suites/liger/test_rope.py::Test_Liger_Rope::test_op[cutile-True-(2, 8, 16, 64)-torch.bfloat16]": 0.2883709899999758,
-"tests/suites/liger/test_rope.py::Test_Liger_Rope::test_op[cutile-True-(2, 8, 16, 64)-torch.float16]": 0.31881759699996337,
-"tests/suites/liger/test_rope.py::Test_Liger_Rope::test_op[cutile-True-(2, 8, 16, 64)-torch.float32]": 0.3102699090000556,
-"tests/suites/liger/test_rope.py::Test_Liger_Rope::test_op[cutile-True-(3, 4, 7, 64)-torch.float32]": 0.305253074999996,
-"tests/suites/liger/test_rope.py::Test_Liger_Rope::test_op_backward[cutile-(1, 2, 4, 48)-torch.float32]": 0.5322552989999849,
-"tests/suites/liger/test_rope.py::Test_Liger_Rope::test_op_backward[cutile-(1, 4, 8, 128)-torch.float32]": 0.49630790000003344,
-"tests/suites/liger/test_rope.py::Test_Liger_Rope::test_op_backward[cutile-(2, 8, 16, 64)-torch.bfloat16]": 0.4772267950000355,
-"tests/suites/liger/test_rope.py::Test_Liger_Rope::test_op_backward[cutile-(2, 8, 16, 64)-torch.float16]": 0.4826273689999425,
-"tests/suites/liger/test_rope.py::Test_Liger_Rope::test_op_backward[cutile-(2, 8, 16, 64)-torch.float32]": 0.48085209400005624,
-"tests/suites/liger/test_rope.py::Test_Liger_Rope::test_op_backward[cutile-(3, 4, 7, 64)-torch.float32]": 0.45513294500000256,
-"tests/suites/liger/test_softmax.py::Test_Liger_Softmax::test_op[cutile-(1, 1023)-torch.float32]": 0.5971517039999981,
-"tests/suites/liger/test_softmax.py::Test_Liger_Softmax::test_op[cutile-(1, 2, 4096)-torch.float32]": 0.16104309099995362,
-"tests/suites/liger/test_softmax.py::Test_Liger_Softmax::test_op[cutile-(1, 4096)-torch.float32]": 0.6001372590000642,
-"tests/suites/liger/test_softmax.py::Test_Liger_Softmax::test_op[cutile-(2, 8)-torch.bfloat16]": 0.20739190799997687,
-"tests/suites/liger/test_softmax.py::Test_Liger_Softmax::test_op[cutile-(2, 8)-torch.float16]": 0.43246369399997775,
-"tests/suites/liger/test_softmax.py::Test_Liger_Softmax::test_op[cutile-(2, 8)-torch.float32]": 0.43433102599993845,
-"tests/suites/liger/test_softmax.py::Test_Liger_Softmax::test_op[cutile-(3, 7, 256)-torch.float32]": 0.529327582999997,
-"tests/suites/liger/test_softmax.py::Test_Liger_Softmax::test_op[cutile-(4, 16)-torch.float32]": 0.4329678330000206,
-"tests/suites/liger/test_softmax.py::Test_Liger_Softmax::test_op_backward[cutile-(2, 8)-torch.bfloat16]": 0.27342963499995676,
-"tests/suites/liger/test_softmax.py::Test_Liger_Softmax::test_op_backward[cutile-(2, 8)-torch.float16]": 0.2533724460000144,
-"tests/suites/liger/test_softmax.py::Test_Liger_Softmax::test_op_backward[cutile-(2, 8)-torch.float32]": 1.2574856509999677,
-"tests/suites/liger/test_softmax.py::Test_Liger_Softmax::test_op_backward[cutile-(4, 16)-torch.float32]": 1.348643109999955,
-"tests/suites/liger/test_sparsemax.py::Test_Liger_Sparsemax::test_op[cutile-1-(2, 128, 512)-torch.float32]": 0.9104693610000254,
-"tests/suites/liger/test_sparsemax.py::Test_Liger_Sparsemax::test_op[cutile-1-(4, 256)-torch.float32]": 0.13236234999999397,
-"tests/suites/liger/test_sparsemax.py::Test_Liger_Sparsemax::test_op[cutile-1-(5, 123, 123)-torch.float32]": 0.1460293540000066,
-"tests/suites/liger/test_sparsemax.py::Test_Liger_Sparsemax::test_op[cutile-_1-(2, 128, 512)-torch.float32]": 1.1528961059999574,
-"tests/suites/liger/test_sparsemax.py::Test_Liger_Sparsemax::test_op[cutile-_1-(4, 256)-torch.float32]": 1.2955208969999603,
-"tests/suites/liger/test_sparsemax.py::Test_Liger_Sparsemax::test_op[cutile-_1-(5, 123, 123)-torch.float32]": 1.3510876439999606,
-"tests/suites/liger/test_sparsemax.py::Test_Liger_Sparsemax::test_op_backward[cutile-(2, 128, 512)-torch.float32]": 0.9523264270000027,
-"tests/suites/liger/test_sparsemax.py::Test_Liger_Sparsemax::test_op_backward[cutile-(4, 256)-torch.float32]": 0.9873392350000358,
-"tests/suites/liger/test_swiglu.py::Test_Liger_SwiGLU::test_op_backward[cutile-(2, 256, 256)-torch.float32]": 0.24815551700004335,
-"tests/suites/liger/test_swiglu.py::Test_Liger_SwiGLU::test_op_backward[cutile-(2, 8, 8)-torch.float32]": 0.3007585649999669,
-"tests/suites/liger/test_swiglu.py::Test_Liger_SwiGLU::test_op_backward[cutile-(4, 256)-torch.bfloat16]": 0.2602785600000743,
-"tests/suites/liger/test_swiglu.py::Test_Liger_SwiGLU::test_op_backward[cutile-(4, 256)-torch.float16]": 0.27952288400001635,
-"tests/suites/liger/test_swiglu.py::Test_Liger_SwiGLU::test_op_backward[cutile-(4, 256)-torch.float32]": 0.25903023200004327,
-"tests/suites/liger/test_swiglu.py::Test_Liger_SwiGLU::test_op_backward[cutile-(6, 42, 123)-torch.float32]": 0.25737957999996297,
-"tests/suites/liger/test_swiglu.py::Test_Liger_SwiGLU::test_op_backward[cutile-(9, 7, 41)-torch.float32]": 0.32049090000003844,
-"tests/suites/liger/test_swiglu.py::Test_Liger_SwiGLU::test_op_forward[cutile-(2, 256, 256)-torch.float32]": 0.2903391980000265,
-"tests/suites/liger/test_swiglu.py::Test_Liger_SwiGLU::test_op_forward[cutile-(2, 8, 8)-torch.float32]": 0.2653622149999819,
-"tests/suites/liger/test_swiglu.py::Test_Liger_SwiGLU::test_op_forward[cutile-(4, 256)-torch.bfloat16]": 0.24032394099998555,
-"tests/suites/liger/test_swiglu.py::Test_Liger_SwiGLU::test_op_forward[cutile-(4, 256)-torch.float16]": 0.24565399799996612,
-"tests/suites/liger/test_swiglu.py::Test_Liger_SwiGLU::test_op_forward[cutile-(4, 256)-torch.float32]": 0.25164382999992085,
-"tests/suites/liger/test_swiglu.py::Test_Liger_SwiGLU::test_op_forward[cutile-(4, 300)-torch.float32]": 0.2578569479999828,
-"tests/suites/liger/test_swiglu.py::Test_Liger_SwiGLU::test_op_forward[cutile-(6, 42, 123)-torch.float32]": 0.25793733299997257,
-"tests/suites/liger/test_swiglu.py::Test_Liger_SwiGLU::test_op_forward[cutile-(9, 7, 41)-torch.float32]": 0.2609263740000074,
-"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_backward[cutile-2-1-1024-128]": 0.12153015400002687,
-"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_backward[cutile-2-2-512-512]": 0.12952137700006006,
-"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_backward[cutile-2-4-127-128]": 0.11663116400001172,
-"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_backward[cutile-4-1-1024-128]": 0.12991460800003551,
-"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_backward[cutile-4-2-512-512]": 0.11975346399998443,
-"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_backward[cutile-4-4-127-128]": 0.13274288600001682,
-"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_backward[cutile-None-1-1024-128]": 0.13293671299999232,
-"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_backward[cutile-None-2-512-512]": 0.11982793499998934,
-"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_backward[cutile-None-4-127-128]": 0.11945723700000599,
-"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-False-2-1-1024-128]": 0.11220423299994309,
-"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-False-2-1-1024-256]": 0.10262780600004362,
-"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-False-2-2-1024-64]": 0.1101494700000103,
-"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-False-2-2-512-512]": 0.104542145000039,
-"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-False-2-4-127-128]": 0.10877230500000223,
-"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-False-4-1-1024-128]": 0.10614156999997704,
-"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-False-4-1-1024-256]": 0.11627781599997888,
-"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-False-4-2-1024-64]": 0.1123424049999926,
-"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-False-4-2-512-512]": 0.11945644900009711,
-"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-False-4-4-127-128]": 0.11173109699996076,
-"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-False-None-1-1024-128]": 0.14291954200001555,
-"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-False-None-1-1024-256]": 0.12607550199999196,
-"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-False-None-2-1024-64]": 0.13145273600002838,
-"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-False-None-2-512-512]": 0.12394130900008804,
-"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-False-None-4-127-128]": 0.14084131800001387,
-"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-True-2-1-1024-128]": 0.11191818999998304,
-"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-True-2-1-1024-256]": 0.17429282900008047,
-"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-True-2-2-1024-64]": 0.10768001799999638,
-"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-True-2-2-512-512]": 0.12009257199997592,
-"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-True-2-4-127-128]": 0.12197674600002983,
-"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-True-4-1-1024-128]": 0.14254702800002406,
-"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-True-4-1-1024-256]": 0.1591937899999607,
-"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-True-4-2-1024-64]": 0.13528095200001644,
-"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-True-4-2-512-512]": 0.14746473600001764,
-"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-True-4-4-127-128]": 0.1419192319999638,
-"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-True-None-1-1024-128]": 0.14066432999993594,
-"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-True-None-1-1024-256]": 0.11461302099996828,
-"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-True-None-2-1024-64]": 0.12596390899994958,
-"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-True-None-2-512-512]": 0.10648840199996812,
-"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-True-None-4-127-128]": 0.11800934299998289,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.bfloat16-0.001-0.001-batchmean-1-4096-32000]": 2.402667156000007,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.bfloat16-0.001-0.001-batchmean-3-423-32000]": 2.400004329000069,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.bfloat16-0.001-0.001-batchmean-41-401-1271]": 0.45598296999997956,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.bfloat16-0.001-0.001-mean-1-4096-32000]": 2.3978507800000557,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.bfloat16-0.001-0.001-mean-3-423-32000]": 2.437172847999989,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.bfloat16-0.001-0.001-mean-41-401-1271]": 0.42728186700003334,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.bfloat16-0.001-0.001-none-1-4096-32000]": 0.7751403330000244,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.bfloat16-0.001-0.001-none-3-423-32000]": 0.7968421780000199,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.bfloat16-0.001-0.001-none-41-401-1271]": 0.3543314849999888,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.bfloat16-0.001-0.001-sum-1-4096-32000]": 2.374297253000009,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.bfloat16-0.001-0.001-sum-3-423-32000]": 2.4322816179999336,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.bfloat16-0.001-0.001-sum-41-401-1271]": 0.43240130399999543,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.float32-1e_05-1e_05-batchmean-1-4096-32000]": 3.1641787000000363,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.float32-1e_05-1e_05-batchmean-3-423-32000]": 3.0919004289999634,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.float32-1e_05-1e_05-batchmean-41-401-1271]": 0.3484173610000312,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.float32-1e_05-1e_05-mean-1-4096-32000]": 3.191643508000027,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.float32-1e_05-1e_05-mean-3-423-32000]": 3.228168586000038,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.float32-1e_05-1e_05-mean-41-401-1271]": 0.3761592679999808,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.float32-1e_05-1e_05-none-1-4096-32000]": 0.5098973579999324,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.float32-1e_05-1e_05-none-3-423-32000]": 0.48869310400004906,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.float32-1e_05-1e_05-none-41-401-1271]": 0.3703627309999433,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.float32-1e_05-1e_05-sum-1-4096-32000]": 3.1247677499999895,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.float32-1e_05-1e_05-sum-3-423-32000]": 3.16601150799994,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.float32-1e_05-1e_05-sum-41-401-1271]": 0.36838142500005233,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_backward[cutile-batchmean-1-4096-32000]": 0.17253410600000052,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_backward[cutile-batchmean-3-423-32000]": 0.15101328899993405,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_backward[cutile-batchmean-41-401-1271]": 0.17253634400003648,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_backward[cutile-mean-1-4096-32000]": 0.1396459769999865,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_backward[cutile-mean-3-423-32000]": 0.14453663500000857,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_backward[cutile-mean-41-401-1271]": 0.1665612890000716,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_backward[cutile-sum-1-4096-32000]": 0.16502732499998274,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_backward[cutile-sum-3-423-32000]": 0.13408178800000314,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_backward[cutile-sum-41-401-1271]": 0.16813406499994699,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-0-batchmean-1-4096-32000]": 1.8032774609999933,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-0-batchmean-3-423-32000]": 1.7746416079999676,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-0-batchmean-41-401-1271]": 0.365040449999924,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-0-mean-1-4096-32000]": 1.7550247890000037,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-0-mean-3-423-32000]": 1.7552137170000606,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-0-mean-41-401-1271]": 0.38454197899994824,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-0-none-1-4096-32000]": 0.6096591399999625,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-0-none-3-423-32000]": 0.6025380119999681,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-0-none-41-401-1271]": 0.38912262899998495,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-0-sum-1-4096-32000]": 1.7479629649999993,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-0-sum-3-423-32000]": 1.80043728499993,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-0-sum-41-401-1271]": 0.3795242430000485,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-1-batchmean-1-4096-32000]": 1.7642669580000074,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-1-batchmean-3-423-32000]": 1.7289347730000486,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-1-batchmean-41-401-1271]": 0.3834586249999461,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-1-mean-1-4096-32000]": 1.7751263670000412,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-1-mean-3-423-32000]": 1.8184812329999431,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-1-mean-41-401-1271]": 0.35036454200002254,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-1-none-1-4096-32000]": 0.6120711159999814,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-1-none-3-423-32000]": 0.5884223629999497,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-1-none-41-401-1271]": 0.378681805000042,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-1-sum-1-4096-32000]": 1.7553342290000273,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-1-sum-3-423-32000]": 1.759391277000077,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-1-sum-41-401-1271]": 0.37069877999994105,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-_100-batchmean-1-4096-32000]": 1.758624382999983,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-_100-batchmean-3-423-32000]": 1.7194179869999857,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-_100-batchmean-41-401-1271]": 0.38763051600000153,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-_100-mean-1-4096-32000]": 1.728356437000059,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-_100-mean-3-423-32000]": 1.7344754900000225,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-_100-mean-41-401-1271]": 0.3686805590000404,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-_100-none-1-4096-32000]": 0.6786840590000338,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-_100-none-3-423-32000]": 0.5945790430000102,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-_100-none-41-401-1271]": 0.3937336240000491,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-_100-sum-1-4096-32000]": 1.7359105830000203,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-_100-sum-3-423-32000]": 1.8079542539999807,
-"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-_100-sum-41-401-1271]": 0.36859491100005926,
-"tests/suites/unsloth/test_cross_entropy_loss.py::Test_Unsloth_CrossEntropyLoss::test_op_all_ignored[cutile]": 0.13273032599994394,
-"tests/suites/unsloth/test_cross_entropy_loss.py::Test_Unsloth_CrossEntropyLoss::test_op_backward[cutile-torch.bfloat16-1-64-32000]": 0.14227341500003376,
-"tests/suites/unsloth/test_cross_entropy_loss.py::Test_Unsloth_CrossEntropyLoss::test_op_backward[cutile-torch.bfloat16-2-32-1024]": 0.2526748709999538,
-"tests/suites/unsloth/test_cross_entropy_loss.py::Test_Unsloth_CrossEntropyLoss::test_op_backward[cutile-torch.float16-1-64-32000]": 0.45767964200001643,
-"tests/suites/unsloth/test_cross_entropy_loss.py::Test_Unsloth_CrossEntropyLoss::test_op_backward[cutile-torch.float16-2-32-1024]": 0.2367091030000097,
-"tests/suites/unsloth/test_cross_entropy_loss.py::Test_Unsloth_CrossEntropyLoss::test_op_backward_large_vocab[cutile-torch.bfloat16-1-16-100000]": 0.14077825099991514,
-"tests/suites/unsloth/test_cross_entropy_loss.py::Test_Unsloth_CrossEntropyLoss::test_op_backward_large_vocab[cutile-torch.bfloat16-2-8-128256]": 0.1312319000000457,
-"tests/suites/unsloth/test_cross_entropy_loss.py::Test_Unsloth_CrossEntropyLoss::test_op_backward_logit_scaling[cutile-torch.bfloat16-2-16-1024]": 0.12552602200003093,
-"tests/suites/unsloth/test_cross_entropy_loss.py::Test_Unsloth_CrossEntropyLoss::test_op_backward_softcapping[cutile-torch.bfloat16-2-16-1024]": 0.15496368700001995,
-"tests/suites/unsloth/test_cross_entropy_loss.py::Test_Unsloth_CrossEntropyLoss::test_op_basic[cutile-torch.bfloat16-1-128-50257]": 1.4744824429999994,
-"tests/suites/unsloth/test_cross_entropy_loss.py::Test_Unsloth_CrossEntropyLoss::test_op_basic[cutile-torch.bfloat16-2-64-1024]": 0.021098639999991065,
-"tests/suites/unsloth/test_cross_entropy_loss.py::Test_Unsloth_CrossEntropyLoss::test_op_basic[cutile-torch.bfloat16-4-32-32000]": 0.29374728599998434,
-"tests/suites/unsloth/test_cross_entropy_loss.py::Test_Unsloth_CrossEntropyLoss::test_op_basic[cutile-torch.float16-1-128-50257]": 1.3021989919999442,
-"tests/suites/unsloth/test_cross_entropy_loss.py::Test_Unsloth_CrossEntropyLoss::test_op_basic[cutile-torch.float16-2-64-1024]": 0.03567045000005464,
-"tests/suites/unsloth/test_cross_entropy_loss.py::Test_Unsloth_CrossEntropyLoss::test_op_basic[cutile-torch.float16-4-32-32000]": 0.021631551000041327,
-"tests/suites/unsloth/test_cross_entropy_loss.py::Test_Unsloth_CrossEntropyLoss::test_op_large_vocab[cutile-torch.bfloat16-1-16-100000]": 0.17227404799996293,
-"tests/suites/unsloth/test_cross_entropy_loss.py::Test_Unsloth_CrossEntropyLoss::test_op_large_vocab[cutile-torch.bfloat16-2-8-128256]": 0.19675905299999386,
-"tests/suites/unsloth/test_cross_entropy_loss.py::Test_Unsloth_CrossEntropyLoss::test_op_logit_scaling[cutile-torch.bfloat16-2-16-1024]": 0.11437288999997008,
-"tests/suites/unsloth/test_cross_entropy_loss.py::Test_Unsloth_CrossEntropyLoss::test_op_softcapping[cutile-torch.bfloat16-2-16-1024]": 0.14249756100002742,
-"tests/suites/unsloth/test_fp8.py::Test_Unsloth_ActQuant::test_op[cutile-(1024, 4096)-128]": 0.002401671000029637,
-"tests/suites/unsloth/test_fp8.py::Test_Unsloth_ActQuant::test_op[cutile-(128, 512)-128]": 0.0031153049999943505,
-"tests/suites/unsloth/test_fp8.py::Test_Unsloth_ActQuant::test_op[cutile-(2048, 8192)-128]": 0.0028097349999711696,
-"tests/suites/unsloth/test_fp8.py::Test_Unsloth_ActQuant::test_op[cutile-(256, 256)-128]": 0.10317757700005359,
-"tests/suites/unsloth/test_fp8.py::Test_Unsloth_ActQuant::test_op[cutile-(64, 1024)-128]": 0.0031037869999295253,
-"tests/suites/unsloth/test_fp8.py::Test_Unsloth_ActQuant::test_op_non_square[cutile-(128, 384)-128]": 0.0018842910000103075,
-"tests/suites/unsloth/test_fp8.py::Test_Unsloth_ActQuant::test_op_non_square[cutile-(256, 128)-128]": 0.0018005739999580328,
-"tests/suites/unsloth/test_fp8.py::Test_Unsloth_W8A8_FP8_Matmul::test_op[cutile-1024-2048-1024-[128, 128]]": 0.7399935870000149,
-"tests/suites/unsloth/test_fp8.py::Test_Unsloth_W8A8_FP8_Matmul::test_op[cutile-128-128-128-[128, 128]]": 0.3964506749999259,
-"tests/suites/unsloth/test_fp8.py::Test_Unsloth_W8A8_FP8_Matmul::test_op[cutile-256-256-256-[128, 128]]": 0.569933366999976,
-"tests/suites/unsloth/test_fp8.py::Test_Unsloth_W8A8_FP8_Matmul::test_op[cutile-512-1024-512-[128, 128]]": 0.6617622630000142,
-"tests/suites/unsloth/test_fp8.py::Test_Unsloth_WeightDequant::test_op[cutile-2048-4096-128]": 0.30518428599998515,
-"tests/suites/unsloth/test_fp8.py::Test_Unsloth_WeightDequant::test_op[cutile-256-256-128]": 0.308578553000018,
-"tests/suites/unsloth/test_fp8.py::Test_Unsloth_WeightDequant::test_op[cutile-384-768-128]": 0.3001257370000303,
-"tests/suites/unsloth/test_fp8.py::Test_Unsloth_WeightDequant::test_op[cutile-4096-8192-128]": 0.35215963299992836,
-"tests/suites/unsloth/test_fp8.py::Test_Unsloth_WeightDequant::test_op[cutile-512-1024-128]": 0.311540736999973,
-"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Approx_Backward::test_op[cutile-torch.bfloat16-1024-1024]": 0.12356254799999533,
-"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Approx_Backward::test_op[cutile-torch.bfloat16-2048-5120]": 0.13649315100002468,
-"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Approx_Backward::test_op[cutile-torch.bfloat16-256-512]": 0.11626140200002055,
-"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Approx_Backward::test_op[cutile-torch.bfloat16-4096-8192]": 0.1414377140000056,
-"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Approx_Backward::test_op[cutile-torch.float16-1024-1024]": 0.1038506329999791,
-"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Approx_Backward::test_op[cutile-torch.float16-2048-5120]": 0.10944024099995886,
-"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Approx_Backward::test_op[cutile-torch.float16-256-512]": 0.12044250499997133,
-"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Approx_Backward::test_op[cutile-torch.float16-4096-8192]": 0.1496392629999832,
-"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Approx_Forward::test_op[cutile-torch.bfloat16-(1, 1, 1024)]": 0.4204019070000413,
-"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Approx_Forward::test_op[cutile-torch.bfloat16-(2, 1024, 8192)]": 0.4771459959999902,
-"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Approx_Forward::test_op[cutile-torch.bfloat16-(2, 128, 256)]": 0.4655557380000346,
-"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Approx_Forward::test_op[cutile-torch.bfloat16-(2, 256, 4096)]": 0.4033601510000153,
-"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Approx_Forward::test_op[cutile-torch.bfloat16-(4, 512, 5120)]": 0.4297753989999933,
-"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Approx_Forward::test_op[cutile-torch.bfloat16-(4, 64, 512)]": 0.44709165500000836,
-"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Approx_Forward::test_op[cutile-torch.float16-(1, 1, 1024)]": 0.4471374179999543,
-"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Approx_Forward::test_op[cutile-torch.float16-(2, 1024, 8192)]": 0.37741454600001134,
-"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Approx_Forward::test_op[cutile-torch.float16-(2, 128, 256)]": 0.45697944500000176,
-"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Approx_Forward::test_op[cutile-torch.float16-(2, 256, 4096)]": 0.4952614599999947,
-"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Approx_Forward::test_op[cutile-torch.float16-(4, 512, 5120)]": 0.4105787860000305,
-"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Approx_Forward::test_op[cutile-torch.float16-(4, 64, 512)]": 0.4454500300000177,
-"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Exact_Backward::test_op[cutile-torch.bfloat16-1024-1024]": 0.11853776899999957,
-"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Exact_Backward::test_op[cutile-torch.bfloat16-2048-5120]": 0.14103745700003856,
-"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Exact_Backward::test_op[cutile-torch.bfloat16-256-512]": 0.13318017500000678,
-"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Exact_Backward::test_op[cutile-torch.bfloat16-4096-8192]": 0.16117435199998909,
-"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Exact_Backward::test_op[cutile-torch.float16-1024-1024]": 0.13652236699999776,
-"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Exact_Backward::test_op[cutile-torch.float16-2048-5120]": 0.12238820300001407,
-"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Exact_Backward::test_op[cutile-torch.float16-256-512]": 0.15773447899999837,
-"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Exact_Backward::test_op[cutile-torch.float16-4096-8192]": 0.16042635599995947,
-"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Exact_Forward::test_op[cutile-torch.bfloat16-(1, 1, 1024)]": 0.4833043049999901,
-"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Exact_Forward::test_op[cutile-torch.bfloat16-(2, 1024, 8192)]": 0.5244869339999809,
-"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Exact_Forward::test_op[cutile-torch.bfloat16-(2, 128, 256)]": 0.4885312659999954,
-"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Exact_Forward::test_op[cutile-torch.bfloat16-(2, 256, 4096)]": 0.48563852600000246,
-"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Exact_Forward::test_op[cutile-torch.bfloat16-(4, 512, 5120)]": 0.49121207700000014,
-"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Exact_Forward::test_op[cutile-torch.bfloat16-(4, 64, 512)]": 0.48250601400002324,
-"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Exact_Forward::test_op[cutile-torch.float16-(1, 1, 1024)]": 0.5068433389999996,
-"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Exact_Forward::test_op[cutile-torch.float16-(2, 1024, 8192)]": 0.502084352000054,
-"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Exact_Forward::test_op[cutile-torch.float16-(2, 128, 256)]": 0.4924958539999693,
-"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Exact_Forward::test_op[cutile-torch.float16-(2, 256, 4096)]": 0.49456470500001615,
-"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Exact_Forward::test_op[cutile-torch.float16-(4, 512, 5120)]": 0.4972137429999748,
-"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Exact_Forward::test_op[cutile-torch.float16-(4, 64, 512)]": 0.4734334210000952,
-"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_backward_W_grad[cutile-torch.bfloat16-4-16-64-64-1]": 0.0028234840000322947,
-"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_backward_W_grad[cutile-torch.bfloat16-4-32-128-128-1]": 0.002611618999935672,
-"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_backward_W_grad[cutile-torch.bfloat16-8-64-512-256-1]": 9.149405005000062,
-"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_backward_W_grad[cutile-torch.float16-4-16-64-64-1]": 0.009352100999876711,
-"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_backward_W_grad[cutile-torch.float16-4-32-128-128-1]": 0.00400365400003011,
-"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_backward_W_grad[cutile-torch.float16-8-64-512-256-1]": 0.0037439489999542275,
-"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_backward_W_grad_topk4[cutile-torch.bfloat16-4-16-128-128-4]": 0.0038545919999251055,
-"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_backward_W_grad_topk4[cutile-torch.bfloat16-8-8-256-128-4]": 0.0037878589999991163,
-"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_backward_X_grad[cutile-torch.bfloat16-4-16-64-64-1]": 7.166191269000024,
-"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_backward_X_grad[cutile-torch.bfloat16-4-32-128-128-1]": 6.082815801000038,
-"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_backward_X_grad[cutile-torch.bfloat16-8-64-512-256-1]": 0.3101235900001029,
-"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_backward_X_grad[cutile-torch.float16-4-16-64-64-1]": 7.5960813259999895,
-"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_backward_X_grad[cutile-torch.float16-4-32-128-128-1]": 6.396920233999992,
-"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_backward_X_grad[cutile-torch.float16-8-64-512-256-1]": 9.347685664999858,
-"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_backward_X_grad_topk4[cutile-torch.bfloat16-4-16-128-128-4]": 6.179076599000268,
-"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_backward_X_grad_topk4[cutile-torch.bfloat16-8-8-256-128-4]": 7.563866540000049,
-"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_deterministic[cutile-8-32-256-128]": 1.7479724060000308,
-"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_edge_cases[cutile-torch.bfloat16-[0, 0, 0, 64]-64-64]": 0.002172737000023517,
-"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_edge_cases[cutile-torch.bfloat16-[128]-256-128]": 2.279568230000109,
-"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_edge_cases[cutile-torch.bfloat16-[32, 16, 8, 8]-64-64]": 0.3689976939999724,
-"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_edge_cases[cutile-torch.bfloat16-[64, 0, 32, 0]-128-128]": 1.6462430789999871,
-"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_forward[cutile-torch.bfloat16-16-16-768-512-1]": 5.103825131000008,
-"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_forward[cutile-torch.bfloat16-16-32-2048-1024-1]": 9.536944302000052,
-"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_forward[cutile-torch.bfloat16-4-16-64-64-1]": 1.3144567200000665,
-"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_forward[cutile-torch.bfloat16-4-32-128-128-1]": 1.6714290840000103,
-"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_forward[cutile-torch.bfloat16-8-16-128-128-2]": 1.8089903390000472,
-"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_forward[cutile-torch.bfloat16-8-64-512-256-1]": 3.265927354000098,
-"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_forward[cutile-torch.bfloat16-8-8-64-128-1]": 1.578274126999986,
-"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_forward[cutile-torch.float16-16-16-768-512-1]": 4.817008771000019,
-"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_forward[cutile-torch.float16-16-32-2048-1024-1]": 9.776041471000042,
-"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_forward[cutile-torch.float16-4-16-64-64-1]": 1.1316823419999196,
-"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_forward[cutile-torch.float16-4-32-128-128-1]": 1.705107916999964,
-"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_forward[cutile-torch.float16-8-16-128-128-2]": 1.852530809999962,
-"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_forward[cutile-torch.float16-8-64-512-256-1]": 2.8786963709999327,
-"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_forward[cutile-torch.float16-8-8-64-128-1]": 1.4088828019999369,
-"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_forward_large[cutile-torch.bfloat16-128-8-768-512-1]": 6.506502144999956,
-"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_forward_topk4[cutile-torch.bfloat16-4-16-128-128-4]": 1.6790749449999112,
-"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_forward_topk4[cutile-torch.bfloat16-8-8-256-128-4]": 1.779323575000035,
-"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_forward_upstream_model[cutile-torch.bfloat16-128-8-768-2048-8]": 4.471815114999913,
-"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_forward_upstream_model[cutile-torch.bfloat16-16-64-8192-5120-1]": 3.0509513709999965,
-"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_non_power_of_2[cutile-torch.bfloat16-4-20-300-192]": 2.731657468999913,
-"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_non_power_of_2[cutile-torch.bfloat16-8-13-100-96]": 2.1090372630000616,
-"tests/suites/unsloth/test_layernorm.py::Test_Unsloth_Layernorm::test_op[cutile-torch.bfloat16-(16, 1024)]": 0.47331382800007304,
-"tests/suites/unsloth/test_layernorm.py::Test_Unsloth_Layernorm::test_op[cutile-torch.bfloat16-(2, 4, 512)]": 0.002503036999996766,
-"tests/suites/unsloth/test_layernorm.py::Test_Unsloth_Layernorm::test_op[cutile-torch.bfloat16-(21, 349, 1024)]": 0.5058167060000187,
-"tests/suites/unsloth/test_layernorm.py::Test_Unsloth_Layernorm::test_op[cutile-torch.bfloat16-(32, 4096)]": 0.6127465890001531,
-"tests/suites/unsloth/test_layernorm.py::Test_Unsloth_Layernorm::test_op[cutile-torch.bfloat16-(4, 256)]": 0.4309699970000338,
-"tests/suites/unsloth/test_layernorm.py::Test_Unsloth_Layernorm::test_op[cutile-torch.bfloat16-(4, 300)]": 0.782303762999959,
-"tests/suites/unsloth/test_layernorm.py::Test_Unsloth_Layernorm::test_op[cutile-torch.bfloat16-(8, 512)]": 0.4889395019999938,
-"tests/suites/unsloth/test_layernorm.py::Test_Unsloth_Layernorm::test_op[cutile-torch.float16-(16, 1024)]": 0.498614110999938,
-"tests/suites/unsloth/test_layernorm.py::Test_Unsloth_Layernorm::test_op[cutile-torch.float16-(2, 4, 512)]": 0.003152456000066195,
-"tests/suites/unsloth/test_layernorm.py::Test_Unsloth_Layernorm::test_op[cutile-torch.float16-(21, 349, 1024)]": 0.5171284170000945,
-"tests/suites/unsloth/test_layernorm.py::Test_Unsloth_Layernorm::test_op[cutile-torch.float16-(32, 4096)]": 0.6725543740000148,
-"tests/suites/unsloth/test_layernorm.py::Test_Unsloth_Layernorm::test_op[cutile-torch.float16-(4, 256)]": 0.13955435200011834,
-"tests/suites/unsloth/test_layernorm.py::Test_Unsloth_Layernorm::test_op[cutile-torch.float16-(4, 300)]": 0.7243690560000005,
-"tests/suites/unsloth/test_layernorm.py::Test_Unsloth_Layernorm::test_op[cutile-torch.float16-(8, 512)]": 0.5126720020000448,
-"tests/suites/unsloth/test_layernorm.py::Test_Unsloth_Layernorm::test_op_backward[cutile-(2, 4, 512)-torch.bfloat16]": 0.004608588999872154,
-"tests/suites/unsloth/test_layernorm.py::Test_Unsloth_Layernorm::test_op_backward[cutile-(4, 2048)-torch.bfloat16]": 1.1440183979999574,
-"tests/suites/unsloth/test_layernorm.py::Test_Unsloth_Layernorm::test_op_backward[cutile-(4, 256)-torch.float16]": 1.0254637639999373,
-"tests/suites/unsloth/test_layernorm.py::Test_Unsloth_Layernorm::test_op_backward[cutile-(4, 256)-torch.float32]": 0.955539905999899,
-"tests/suites/unsloth/test_layernorm.py::Test_Unsloth_Layernorm::test_op_backward[cutile-(8, 512)-torch.bfloat16]": 0.5367806830000745,
-"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_backward[cutile-(2, 4, 512)-torch.bfloat16]": 0.6038072480000665,
-"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_backward[cutile-(4, 2048)-torch.bfloat16]": 1.1505372660000148,
-"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_backward[cutile-(4, 256)-torch.float16]": 0.5025023550000469,
-"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_backward[cutile-(4, 256)-torch.float32]": 1.0599668529999917,
-"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_backward[cutile-(8, 512)-torch.bfloat16]": 0.10780232199999773,
-"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_backward_gemma[cutile-(16, 1024)-torch.bfloat16]": 0.47811547200001314,
-"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_backward_gemma[cutile-(2, 4, 512)-torch.bfloat16]": 0.4884928679998666,
-"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_backward_gemma[cutile-(4, 256)-torch.float16]": 0.6205145599998332,
-"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_backward_gemma[cutile-(8, 512)-torch.bfloat16]": 0.3423722170000474,
-"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_gemma[cutile-torch.bfloat16-(16, 1024)]": 0.453243567999948,
-"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_gemma[cutile-torch.bfloat16-(4, 256)]": 0.45447026800002277,
-"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_gemma[cutile-torch.bfloat16-(8, 512)]": 0.5059729890000426,
-"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_gemma[cutile-torch.float16-(16, 1024)]": 0.45336702700001297,
-"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_gemma[cutile-torch.float16-(4, 256)]": 0.4871675019999202,
-"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_gemma[cutile-torch.float16-(8, 512)]": 0.45881626100003814,
-"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_standard[cutile-torch.bfloat16-(16, 1024)]": 0.439909784000065,
-"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_standard[cutile-torch.bfloat16-(2, 4, 512)]": 0.0024520839999695454,
-"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_standard[cutile-torch.bfloat16-(21, 349, 1024)]": 0.48320130599995537,
-"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_standard[cutile-torch.bfloat16-(32, 4096)]": 0.5556934789999559,
-"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_standard[cutile-torch.bfloat16-(4, 256)]": 0.45846769600007065,
-"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_standard[cutile-torch.bfloat16-(4, 300)]": 0.6884496300000364,
-"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_standard[cutile-torch.bfloat16-(8, 512)]": 0.42911033699999734,
-"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_standard[cutile-torch.float16-(16, 1024)]": 0.46960611100007554,
-"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_standard[cutile-torch.float16-(2, 4, 512)]": 0.0032867369999394214,
-"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_standard[cutile-torch.float16-(21, 349, 1024)]": 0.4435703779998903,
-"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_standard[cutile-torch.float16-(32, 4096)]": 0.7202101219999122,
-"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_standard[cutile-torch.float16-(4, 256)]": 0.4466256279999925,
-"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_standard[cutile-torch.float16-(4, 300)]": 0.6313630800000283,
-"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_standard[cutile-torch.float16-(8, 512)]": 0.41283722600007877,
-"tests/suites/unsloth/test_rope_embedding.py::Test_Unsloth_RoPE_Embedding::test_op[cutile-torch.bfloat16-1-128-4-128]": 0.398573474999921,
-"tests/suites/unsloth/test_rope_embedding.py::Test_Unsloth_RoPE_Embedding::test_op[cutile-torch.bfloat16-2-64-8-64]": 0.387200779000068,
-"tests/suites/unsloth/test_rope_embedding.py::Test_Unsloth_RoPE_Embedding::test_op[cutile-torch.bfloat16-4-32-16-64]": 0.3937358389999872,
-"tests/suites/unsloth/test_rope_embedding.py::Test_Unsloth_RoPE_Embedding::test_op[cutile-torch.float16-1-128-4-128]": 0.421525416999998,
-"tests/suites/unsloth/test_rope_embedding.py::Test_Unsloth_RoPE_Embedding::test_op[cutile-torch.float16-2-64-8-64]": 0.41535505299998476,
-"tests/suites/unsloth/test_rope_embedding.py::Test_Unsloth_RoPE_Embedding::test_op[cutile-torch.float16-4-32-16-64]": 0.4223318509999672,
-"tests/suites/unsloth/test_rope_embedding.py::Test_Unsloth_RoPE_Embedding::test_op_backward[cutile-torch.bfloat16-1-128-4-128]": 0.22691756100016391,
-"tests/suites/unsloth/test_rope_embedding.py::Test_Unsloth_RoPE_Embedding::test_op_backward[cutile-torch.bfloat16-2-64-8-64]": 0.24482456500015815,
-"tests/suites/unsloth/test_rope_embedding.py::Test_Unsloth_RoPE_Embedding::test_op_backward[cutile-torch.float16-1-128-4-128]": 0.10363365399985014,
-"tests/suites/unsloth/test_rope_embedding.py::Test_Unsloth_RoPE_Embedding::test_op_backward[cutile-torch.float16-2-64-8-64]": 0.0982356179999897,
-"tests/suites/unsloth/test_rope_embedding.py::Test_Unsloth_RoPE_Embedding_QK::test_op[cutile-torch.bfloat16-1-32-8-128-128]": 0.5303091130000439,
-"tests/suites/unsloth/test_rope_embedding.py::Test_Unsloth_RoPE_Embedding_QK::test_op[cutile-torch.bfloat16-2-8-8-64-64]": 0.4726201849998688,
-"tests/suites/unsloth/test_rope_embedding.py::Test_Unsloth_RoPE_Embedding_QK::test_op[cutile-torch.bfloat16-4-16-4-32-64]": 0.551470256000016,
-"tests/suites/unsloth/test_rope_embedding.py::Test_Unsloth_RoPE_Embedding_QK::test_op[cutile-torch.float16-1-32-8-128-128]": 0.459458126000186,
-"tests/suites/unsloth/test_rope_embedding.py::Test_Unsloth_RoPE_Embedding_QK::test_op[cutile-torch.float16-2-8-8-64-64]": 0.4842655579999473,
-"tests/suites/unsloth/test_rope_embedding.py::Test_Unsloth_RoPE_Embedding_QK::test_op[cutile-torch.float16-4-16-4-32-64]": 0.5686654249999492,
-"tests/suites/unsloth/test_rope_embedding.py::Test_Unsloth_RoPE_Embedding_QK::test_op_backward[cutile-torch.bfloat16-1-32-8-128-128]": 0.29786790200000723,
-"tests/suites/unsloth/test_rope_embedding.py::Test_Unsloth_RoPE_Embedding_QK::test_op_backward[cutile-torch.bfloat16-2-8-8-64-64]": 0.1251643809999905,
-"tests/suites/unsloth/test_rope_embedding.py::Test_Unsloth_RoPE_Embedding_QK::test_op_backward[cutile-torch.float16-1-32-8-128-128]": 0.27610774599997967,
-"tests/suites/unsloth/test_rope_embedding.py::Test_Unsloth_RoPE_Embedding_QK::test_op_backward[cutile-torch.float16-2-8-8-64-64]": 0.28433568200011905,
-"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Backward::test_op[cutile-torch.bfloat16-1024-1024]": 0.1095306109999683,
-"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Backward::test_op[cutile-torch.bfloat16-2048-5120]": 0.10229543400009788,
-"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Backward::test_op[cutile-torch.bfloat16-256-512]": 0.127607385000033,
-"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Backward::test_op[cutile-torch.bfloat16-4096-8192]": 0.1593039609999778,
-"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Backward::test_op[cutile-torch.bfloat16-512-4096]": 0.12156767900012255,
-"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Backward::test_op[cutile-torch.float16-1024-1024]": 0.11182399100016482,
-"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Backward::test_op[cutile-torch.float16-2048-5120]": 0.10933062899982815,
-"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Backward::test_op[cutile-torch.float16-256-512]": 0.09966446999987966,
-"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Backward::test_op[cutile-torch.float16-4096-8192]": 0.14333101899990197,
-"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Backward::test_op[cutile-torch.float16-512-4096]": 0.10145540900009564,
-"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Forward::test_op[cutile-torch.bfloat16-(1, 1, 1024)]": 0.45417870199992194,
-"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Forward::test_op[cutile-torch.bfloat16-(2, 1024, 8192)]": 0.3948951569998371,
-"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Forward::test_op[cutile-torch.bfloat16-(2, 128, 256)]": 0.4381393590000471,
-"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Forward::test_op[cutile-torch.bfloat16-(2, 256, 4096)]": 0.46734088800008067,
-"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Forward::test_op[cutile-torch.bfloat16-(4, 512, 5120)]": 0.43648219399995014,
-"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Forward::test_op[cutile-torch.bfloat16-(4, 64, 512)]": 0.459770540999898,
-"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Forward::test_op[cutile-torch.float16-(1, 1, 1024)]": 0.42055715499998314,
-"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Forward::test_op[cutile-torch.float16-(2, 1024, 8192)]": 0.43389688800004933,
-"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Forward::test_op[cutile-torch.float16-(2, 128, 256)]": 0.47711276300003647,
-"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Forward::test_op[cutile-torch.float16-(2, 256, 4096)]": 0.4221766739999566,
-"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Forward::test_op[cutile-torch.float16-(4, 512, 5120)]": 0.3791067550000662,
-"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Forward::test_op[cutile-torch.float16-(4, 64, 512)]": 0.4389662319999843
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(16, 4)-0-torch.bfloat16-none]": 0.4430121570000267,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(16, 4)-0-torch.bfloat16-tanh]": 0.3988085059999946,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(16, 4)-0-torch.float16-none]": 0.4859483800000248,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(16, 4)-0-torch.float16-tanh]": 0.4194376380000051,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(16, 4)-0-torch.float32-none]": 0.49403285600001823,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(16, 4)-0-torch.float32-tanh]": 0.40536939599999755,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(16, 4)-1-torch.bfloat16-none]": 0.476052095999961,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(16, 4)-1-torch.bfloat16-tanh]": 0.40605696100001865,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(16, 4)-1-torch.float16-none]": 0.5232397839999976,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(16, 4)-1-torch.float16-tanh]": 0.42960811299997204,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(16, 4)-1-torch.float32-none]": 0.48761147499999424,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(16, 4)-1-torch.float32-tanh]": 0.4161041270000112,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(256, 64, 16, 4)-0-torch.bfloat16-none]": 0.4873195119999991,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(256, 64, 16, 4)-0-torch.bfloat16-tanh]": 0.3812584879999861,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(256, 64, 16, 4)-0-torch.float16-none]": 0.50449586000002,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(256, 64, 16, 4)-0-torch.float16-tanh]": 0.41464859600000636,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(256, 64, 16, 4)-0-torch.float32-none]": 0.4308885640000142,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(256, 64, 16, 4)-0-torch.float32-tanh]": 0.4131051599999864,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(256, 64, 16, 4)-1-torch.bfloat16-none]": 0.49749369500000284,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(256, 64, 16, 4)-1-torch.bfloat16-tanh]": 0.43750576400000796,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(256, 64, 16, 4)-1-torch.float16-none]": 0.550144008000018,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(256, 64, 16, 4)-1-torch.float16-tanh]": 0.4380265200000224,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(256, 64, 16, 4)-1-torch.float32-none]": 0.527329898000005,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(256, 64, 16, 4)-1-torch.float32-tanh]": 0.434018554999966,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(256, 64, 16, 4)-2-torch.bfloat16-none]": 0.12495861500002547,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(256, 64, 16, 4)-2-torch.bfloat16-tanh]": 0.1261365929999556,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(256, 64, 16, 4)-2-torch.float16-none]": 0.12409848000001489,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(256, 64, 16, 4)-2-torch.float16-tanh]": 0.130144080000008,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(256, 64, 16, 4)-2-torch.float32-none]": 0.14353391399998827,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(256, 64, 16, 4)-2-torch.float32-tanh]": 0.1354699859999755,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(256, 64, 16, 4)-3-torch.bfloat16-none]": 0.11339475200003335,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(256, 64, 16, 4)-3-torch.bfloat16-tanh]": 0.11187261400002058,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(256, 64, 16, 4)-3-torch.float16-none]": 0.10618655400003263,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(256, 64, 16, 4)-3-torch.float16-tanh]": 0.1027024300000221,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(256, 64, 16, 4)-3-torch.float32-none]": 0.1157543319999661,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(256, 64, 16, 4)-3-torch.float32-tanh]": 0.11048079899995855,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(4,)-0-torch.bfloat16-none]": 0.47116681100001756,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(4,)-0-torch.bfloat16-tanh]": 0.4144651059999944,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(4,)-0-torch.float16-none]": 0.49268025599999987,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(4,)-0-torch.float16-tanh]": 0.39328775000001315,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(4,)-0-torch.float32-none]": 1.1399737859999846,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(4,)-0-torch.float32-tanh]": 0.39488584899996226,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(64, 16, 4)-0-torch.bfloat16-none]": 0.4431741909999971,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(64, 16, 4)-0-torch.bfloat16-tanh]": 0.42903681199999255,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(64, 16, 4)-0-torch.float16-none]": 0.4765155770000149,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(64, 16, 4)-0-torch.float16-tanh]": 0.40706331900000237,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(64, 16, 4)-0-torch.float32-none]": 0.5047507670000186,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(64, 16, 4)-0-torch.float32-tanh]": 0.4100257120000208,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(64, 16, 4)-1-torch.bfloat16-none]": 0.4551324549999549,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(64, 16, 4)-1-torch.bfloat16-tanh]": 0.41317593100001204,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(64, 16, 4)-1-torch.float16-none]": 0.48573704799997586,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(64, 16, 4)-1-torch.float16-tanh]": 0.41952647200000115,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(64, 16, 4)-1-torch.float32-none]": 0.5249073030000204,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(64, 16, 4)-1-torch.float32-tanh]": 0.47804539400002,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(64, 16, 4)-2-torch.bfloat16-none]": 0.11977923699998883,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(64, 16, 4)-2-torch.bfloat16-tanh]": 0.11366349200000059,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(64, 16, 4)-2-torch.float16-none]": 0.11216932800002155,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(64, 16, 4)-2-torch.float16-tanh]": 0.1158874150000031,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(64, 16, 4)-2-torch.float32-none]": 0.15757332800001222,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[cutile-(64, 16, 4)-2-torch.float32-tanh]": 0.16554224000000772,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(16, 4)-0-torch.bfloat16-none]": 1.7645050540000398,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(16, 4)-0-torch.bfloat16-tanh]": 1.0611698429999876,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(16, 4)-0-torch.float16-none]": 1.1769390810000289,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(16, 4)-0-torch.float16-tanh]": 1.1327067190000264,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(16, 4)-0-torch.float32-none]": 1.170638738999969,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(16, 4)-0-torch.float32-tanh]": 1.158520153999973,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(16, 4)-1-torch.bfloat16-none]": 1.1810115549999978,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(16, 4)-1-torch.bfloat16-tanh]": 1.0749856819999764,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(16, 4)-1-torch.float16-none]": 1.1924022660000162,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(16, 4)-1-torch.float16-tanh]": 1.0869230890000097,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(16, 4)-1-torch.float32-none]": 1.1902067920000263,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(16, 4)-1-torch.float32-tanh]": 1.0516624549999847,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(256, 64, 16, 4)-0-torch.bfloat16-none]": 1.1248355820000029,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(256, 64, 16, 4)-0-torch.bfloat16-tanh]": 1.119433081999972,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(256, 64, 16, 4)-0-torch.float16-none]": 1.1467586980000135,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(256, 64, 16, 4)-0-torch.float16-tanh]": 1.1374442810000005,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(256, 64, 16, 4)-0-torch.float32-none]": 1.0895121949999975,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(256, 64, 16, 4)-0-torch.float32-tanh]": 1.0801952890000166,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(256, 64, 16, 4)-1-torch.bfloat16-none]": 1.1549874469999963,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(256, 64, 16, 4)-1-torch.bfloat16-tanh]": 1.0743476450000173,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(256, 64, 16, 4)-1-torch.float16-none]": 1.1798969740000302,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(256, 64, 16, 4)-1-torch.float16-tanh]": 1.1263455320000446,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(256, 64, 16, 4)-1-torch.float32-none]": 1.2057631030000096,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(256, 64, 16, 4)-1-torch.float32-tanh]": 1.0836067970000158,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(256, 64, 16, 4)-2-torch.bfloat16-none]": 0.10524652500001253,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(256, 64, 16, 4)-2-torch.bfloat16-tanh]": 0.11603644400000235,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(256, 64, 16, 4)-2-torch.float16-none]": 0.12072052599995686,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(256, 64, 16, 4)-2-torch.float16-tanh]": 0.11460620000005406,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(256, 64, 16, 4)-2-torch.float32-none]": 0.1406912509999927,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(256, 64, 16, 4)-2-torch.float32-tanh]": 0.1267126879999978,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(256, 64, 16, 4)-3-torch.bfloat16-none]": 0.11641783600001077,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(256, 64, 16, 4)-3-torch.bfloat16-tanh]": 0.11284715000002166,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(256, 64, 16, 4)-3-torch.float16-none]": 0.11443910600002027,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(256, 64, 16, 4)-3-torch.float16-tanh]": 0.11962198699998794,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(256, 64, 16, 4)-3-torch.float32-none]": 0.11799597799998196,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(256, 64, 16, 4)-3-torch.float32-tanh]": 0.11536178299996891,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(4,)-0-torch.bfloat16-none]": 1.1649328219999688,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(4,)-0-torch.bfloat16-tanh]": 1.1559199710000314,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(4,)-0-torch.float16-none]": 1.1546241449999854,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(4,)-0-torch.float16-tanh]": 1.0603260409999962,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(4,)-0-torch.float32-none]": 1.1145340159999932,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(4,)-0-torch.float32-tanh]": 1.1477322590000085,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(64, 16, 4)-0-torch.bfloat16-none]": 1.1191242070000271,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(64, 16, 4)-0-torch.bfloat16-tanh]": 1.0480939950000163,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(64, 16, 4)-0-torch.float16-none]": 1.2108271809999849,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(64, 16, 4)-0-torch.float16-tanh]": 1.097797550999985,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(64, 16, 4)-0-torch.float32-none]": 1.1142712819999758,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(64, 16, 4)-0-torch.float32-tanh]": 1.0842573519999803,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(64, 16, 4)-1-torch.bfloat16-none]": 1.168190270999986,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(64, 16, 4)-1-torch.bfloat16-tanh]": 1.134970420000002,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(64, 16, 4)-1-torch.float16-none]": 1.1402728339999726,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(64, 16, 4)-1-torch.float16-tanh]": 1.1532070170000281,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(64, 16, 4)-1-torch.float32-none]": 1.1643462739999393,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(64, 16, 4)-1-torch.float32-tanh]": 1.1038915210000084,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(64, 16, 4)-2-torch.bfloat16-none]": 0.11960392899999306,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(64, 16, 4)-2-torch.bfloat16-tanh]": 0.11357623200001399,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(64, 16, 4)-2-torch.float16-none]": 0.1024777040000231,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(64, 16, 4)-2-torch.float16-tanh]": 0.11275540700000874,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(64, 16, 4)-2-torch.float32-none]": 0.13547096100001,
+"tests/ops/activation/test_geglu.py::Test_GEGLU::test_op[tilecpp-(64, 16, 4)-2-torch.float32-tanh]": 0.11377885299998525,
+"tests/ops/activation/test_gelu.py::Test_GeLU::test_op[cutile-256-2048-none-torch.bfloat16]": 0.39189494099997546,
+"tests/ops/activation/test_gelu.py::Test_GeLU::test_op[cutile-256-2048-none-torch.float16]": 0.38379970199997615,
+"tests/ops/activation/test_gelu.py::Test_GeLU::test_op[cutile-256-2048-none-torch.float32]": 0.4480382989999896,
+"tests/ops/activation/test_gelu.py::Test_GeLU::test_op[cutile-256-2048-tanh-torch.bfloat16]": 0.4089486179999824,
+"tests/ops/activation/test_gelu.py::Test_GeLU::test_op[cutile-256-2048-tanh-torch.float16]": 0.338684446000002,
+"tests/ops/activation/test_gelu.py::Test_GeLU::test_op[cutile-256-2048-tanh-torch.float32]": 0.40083307899999454,
+"tests/ops/activation/test_gelu.py::Test_GeLU::test_op[tilecpp-256-2048-none-torch.bfloat16]": 1.1002052280000214,
+"tests/ops/activation/test_gelu.py::Test_GeLU::test_op[tilecpp-256-2048-none-torch.float16]": 1.1190879600000017,
+"tests/ops/activation/test_gelu.py::Test_GeLU::test_op[tilecpp-256-2048-none-torch.float32]": 1.2269637490000207,
+"tests/ops/activation/test_gelu.py::Test_GeLU::test_op[tilecpp-256-2048-tanh-torch.bfloat16]": 1.0547933790000172,
+"tests/ops/activation/test_gelu.py::Test_GeLU::test_op[tilecpp-256-2048-tanh-torch.float16]": 1.0692322899999738,
+"tests/ops/activation/test_gelu.py::Test_GeLU::test_op[tilecpp-256-2048-tanh-torch.float32]": 1.0617300890000365,
+"tests/ops/activation/test_gelu.py::Test_GeLU::test_op_unaligned[cutile-none-torch.float16]": 0.5749555120000025,
+"tests/ops/activation/test_gelu.py::Test_GeLU::test_op_unaligned[cutile-none-torch.float32]": 0.47948389600000496,
+"tests/ops/activation/test_gelu.py::Test_GeLU::test_op_unaligned[cutile-tanh-torch.float16]": 0.4927897679999944,
+"tests/ops/activation/test_gelu.py::Test_GeLU::test_op_unaligned[cutile-tanh-torch.float32]": 0.4140508229999966,
+"tests/ops/activation/test_gelu.py::Test_GeLU::test_op_unaligned[tilecpp-none-torch.float16]": 1.2862756780000097,
+"tests/ops/activation/test_gelu.py::Test_GeLU::test_op_unaligned[tilecpp-none-torch.float32]": 1.1788405400000102,
+"tests/ops/activation/test_gelu.py::Test_GeLU::test_op_unaligned[tilecpp-tanh-torch.float16]": 1.1705512679999686,
+"tests/ops/activation/test_gelu.py::Test_GeLU::test_op_unaligned[tilecpp-tanh-torch.float32]": 1.173512852000016,
+"tests/ops/activation/test_relu.py::Test_ReLU::test_op[cutile-256-2048-torch.float32-False]": 0.4382565709999824,
+"tests/ops/activation/test_relu.py::Test_ReLU::test_op[cutile-256-256-torch.float16-True]": 0.47296931700000755,
+"tests/ops/activation/test_relu.py::Test_ReLU::test_op[cutile-256-32768-torch.float16-True]": 0.43578014299998813,
+"tests/ops/activation/test_relu.py::Test_ReLU::test_op[cutile-256-64-torch.float16-True]": 1.0415701389999867,
+"tests/ops/activation/test_relu.py::Test_ReLU::test_op[tilecpp-256-2048-torch.float32-False]": 1.1272657810000055,
+"tests/ops/activation/test_relu.py::Test_ReLU::test_op[tilecpp-256-256-torch.float16-True]": 0.2408497739999973,
+"tests/ops/activation/test_relu.py::Test_ReLU::test_op[tilecpp-256-32768-torch.float16-True]": 0.2854585229999884,
+"tests/ops/activation/test_relu.py::Test_ReLU::test_op[tilecpp-256-64-torch.float16-True]": 1.1859757049999757,
+"tests/ops/experimental/test_attention_backward.py::Test_FMHA_Backward::test_op_backward_corner_cases[cutile-1-1-64-64-True-torch.float16]": 13.035494634000003,
+"tests/ops/experimental/test_attention_backward.py::Test_FMHA_Backward::test_op_backward_corner_cases[cutile-1-32-128-64-True-torch.float16]": 13.14638402899999,
+"tests/ops/experimental/test_attention_backward.py::Test_FMHA_Backward::test_op_backward_irregular_shapes[cutile-1-4-127-64-True-torch.float16]": 13.141089612999991,
+"tests/ops/experimental/test_attention_backward.py::Test_FMHA_Backward::test_op_backward_irregular_shapes[cutile-2-8-2047-128-True-torch.bfloat16]": 11.074048552000022,
+"tests/ops/experimental/test_attention_backward.py::Test_FMHA_Backward::test_op_backward_regular_shapes[cutile-2-8-256-64-True-torch.float16]": 13.096024594,
+"tests/ops/experimental/test_attention_backward.py::Test_FMHA_Backward::test_op_backward_regular_shapes[cutile-2-8-512-128-False-torch.bfloat16]": 9.718379896000016,
+"tests/ops/experimental/test_attention_backward.py::Test_FMHA_Backward::test_op_forward_with_lse_matches_reference[cutile-1-8-256-128-True-torch.float16]": 1.2056534369999952,
+"tests/ops/experimental/test_attention_backward.py::Test_FMHA_Backward::test_op_forward_with_lse_matches_reference[cutile-2-8-512-64-False-torch.bfloat16]": 0.7747360980000053,
+"tests/ops/experimental/test_attention_backward.py::Test_FMHA_Backward::test_op_functional_api_inference_mode[cutile]": 0.917525970999975,
+"tests/ops/experimental/test_attention_backward.py::Test_FMHA_Backward::test_op_functional_api_training_mode[cutile]": 12.949383635999965,
+"tests/ops/experimental/test_attention_backward.py::Test_FMHA_Backward_GQA::test_op_backward_gqa[cutile-1-8-1-128-64-True-torch.float16]": 13.777947082999987,
+"tests/ops/experimental/test_attention_backward.py::Test_FMHA_Backward_GQA::test_op_backward_gqa[cutile-1-8-4-128-64-True-torch.float16]": 13.56207057200001,
+"tests/ops/experimental/test_attention_backward.py::Test_FMHA_Backward_Numerical::test_op_numerical_gradient_check[cutile]": 0.17072818799994138,
+"tests/ops/experimental/test_fused_linear_cross_entropy.py::TestFusedLinearCrossEntropy::test_op_chunk_size_consistency[cutile]": 0.7122825420000254,
+"tests/ops/experimental/test_fused_linear_cross_entropy.py::TestFusedLinearCrossEntropy::test_op_forward_matches_pytorch[cutile-1-256-384-4096-torch.float16-sum]": 0.31238795499996286,
+"tests/ops/experimental/test_fused_linear_cross_entropy.py::TestFusedLinearCrossEntropy::test_op_forward_matches_pytorch[cutile-2-128-256-2048-torch.float16-mean]": 0.6053029280000146,
+"tests/ops/experimental/test_fused_linear_cross_entropy.py::TestFusedLinearCrossEntropy::test_op_forward_matches_pytorch[cutile-2-64-256-2048-torch.bfloat16-mean]": 0.4716918039999882,
+"tests/ops/experimental/test_fused_linear_cross_entropy.py::TestFusedLinearCrossEntropy::test_op_peak_memory_less_than_pytorch[cutile]": 1.082475220000049,
+"tests/ops/experimental/test_fused_swiglu_backward.py::Test_FusedSwiGLUBackward::test_op[cutile-torch.float32-2-512-1024-4096]": 1.9576153890000683,
+"tests/ops/experimental/test_fused_swiglu_backward.py::Test_FusedSwiGLUBackward::test_op[cutile-torch.float32-2-64-256-512]": 1.9046987120000267,
+"tests/ops/experimental/test_fused_swiglu_backward.py::Test_FusedSwiGLUBackward::test_op[cutile-torch.float32-4-128-512-1024]": 1.8469441629999892,
+"tests/ops/experimental/test_fused_swiglu_backward.py::Test_FusedSwiGLUBackward::test_op[cutile-torch.float32-8-256-512-2048]": 2.411984897000025,
+"tests/ops/experimental/test_fused_swiglu_backward.py::Test_FusedSwiGLUBackward::test_op_irregular[cutile-torch.float32-11-127-750-1500]": 0.4932641260000423,
+"tests/ops/experimental/test_fused_swiglu_backward.py::Test_FusedSwiGLUBackward::test_op_irregular[cutile-torch.float32-13-128-512-1024]": 0.1465597099999627,
+"tests/ops/experimental/test_fused_swiglu_backward.py::Test_FusedSwiGLUBackward::test_op_irregular[cutile-torch.float32-13-333-500-1000]": 0.4032878910000477,
+"tests/ops/experimental/test_fused_swiglu_backward.py::Test_FusedSwiGLUBackward::test_op_irregular[cutile-torch.float32-4-100-256-512]": 0.13220316100000673,
+"tests/ops/experimental/test_fused_swiglu_backward.py::Test_FusedSwiGLUBackward::test_op_irregular[cutile-torch.float32-4-128-300-600]": 2.0582846389999645,
+"tests/ops/experimental/test_fused_swiglu_backward.py::Test_FusedSwiGLUBackward::test_op_irregular[cutile-torch.float32-4-128-500-1000]": 2.092790030999936,
+"tests/ops/experimental/test_fused_swiglu_backward.py::Test_FusedSwiGLUBackward::test_op_irregular[cutile-torch.float32-4-128-750-1500]": 2.5852629459999434,
+"tests/ops/experimental/test_fused_swiglu_backward.py::Test_FusedSwiGLUBackward::test_op_irregular[cutile-torch.float32-4-333-512-1024]": 0.3770588280000311,
+"tests/ops/experimental/test_fused_swiglu_backward.py::Test_FusedSwiGLUBackward::test_op_irregular[cutile-torch.float32-7-100-300-600]": 0.44486089200000833,
+"tests/ops/experimental/test_fused_swiglu_backward.py::Test_FusedSwiGLUBackward::test_op_irregular[cutile-torch.float32-7-64-256-512]": 0.1508074529999135,
+"tests/ops/experimental/test_mhc.py::Test_MHC::test_op_mhc_apply_residual[cutile-128-2-1024]": 0.2818514200000095,
+"tests/ops/experimental/test_mhc.py::Test_MHC::test_op_mhc_apply_residual[cutile-128-4-1024]": 0.2929571810000198,
+"tests/ops/experimental/test_mhc.py::Test_MHC::test_op_mhc_apply_residual[cutile-64-8-2048]": 0.377567719999945,
+"tests/ops/experimental/test_mhc.py::Test_MHC::test_op_mhc_gemm_rms_scale_bf16_precision[cutile-128-1000-8]": 20.580179442999963,
+"tests/ops/experimental/test_mhc.py::Test_MHC::test_op_mhc_gemm_rms_scale_bf16_precision[cutile-128-1024-4]": 20.644327034000014,
+"tests/ops/experimental/test_mhc.py::Test_MHC::test_op_mhc_gemm_rms_scale_bf16_precision[cutile-128-1024-8]": 19.911289979000003,
+"tests/ops/experimental/test_mhc.py::Test_MHC::test_op_mhc_sinkhorn[cutile-256-4-torch.float32]": 0.28227470200010885,
+"tests/ops/experimental/test_mhc.py::Test_MHC::test_op_mhc_sinkhorn[cutile-256-8-torch.float32]": 0.2737750239999741,
+"tests/ops/experimental/test_nvfp4_quantize.py::TestNVFP4Quantize::test_op_input_dtypes[cutile-torch.bfloat16]": 0.0007407879999732359,
+"tests/ops/experimental/test_nvfp4_quantize.py::TestNVFP4Quantize::test_op_input_dtypes[cutile-torch.float16]": 0.0006480679999754102,
+"tests/ops/experimental/test_nvfp4_quantize.py::TestNVFP4Quantize::test_op_input_dtypes[cutile-torch.float32]": 0.0006478949999859651,
+"tests/ops/experimental/test_nvfp4_quantize.py::TestNVFP4Quantize::test_op_invalid_inputs[cutile]": 0.0006518219999520625,
+"tests/ops/experimental/test_nvfp4_quantize.py::TestNVFP4Quantize::test_op_output_shapes[cutile-1-64]": 0.00030895700001565274,
+"tests/ops/experimental/test_nvfp4_quantize.py::TestNVFP4Quantize::test_op_output_shapes[cutile-128-64]": 0.0004516530000273633,
+"tests/ops/experimental/test_nvfp4_quantize.py::TestNVFP4Quantize::test_op_output_shapes[cutile-128-80]": 0.0003600790000746201,
+"tests/ops/experimental/test_nvfp4_quantize.py::TestNVFP4Quantize::test_op_output_shapes[cutile-160-80]": 0.0003313180000077409,
+"tests/ops/experimental/test_nvfp4_quantize.py::TestNVFP4Quantize::test_op_output_shapes[cutile-17-64]": 0.00032053100005668966,
+"tests/ops/experimental/test_nvfp4_quantize.py::TestNVFP4Quantize::test_op_output_shapes[cutile-192-64]": 0.0003737890000365951,
+"tests/ops/experimental/test_nvfp4_quantize.py::TestNVFP4Quantize::test_op_output_shapes[cutile-256-48]": 0.00031568799994374785,
+"tests/ops/experimental/test_nvfp4_quantize.py::TestNVFP4Quantize::test_op_output_shapes[cutile-33-48]": 0.0003263890000084757,
+"tests/ops/experimental/test_nvfp4_quantize.py::TestNVFP4Quantize::test_op_output_shapes[cutile-512-256]": 0.0005929150000270056,
+"tests/ops/experimental/test_nvfp4_quantize.py::TestNVFP4Quantize::test_op_output_shapes[cutile-64-64]": 0.00031079699999736476,
+"tests/ops/experimental/test_rmsnorm_backward.py::Test_RMSNormAutogradBackward::test_op[cutile-None-256-256-torch.float16]": 0.1936800919999655,
+"tests/ops/experimental/test_rmsnorm_backward.py::Test_RMSNormAutogradBackward::test_op[cutile-None-256-256-torch.float32]": 0.14647785699992255,
+"tests/ops/experimental/test_rmsnorm_backward.py::Test_RMSNormAutogradBackward::test_op[cutile-None-4096-256-torch.bfloat16]": 0.15140145900005564,
+"tests/ops/experimental/test_rmsnorm_backward.py::Test_RMSNormAutogradBackward::test_op[cutile-multi_wave_cached-256-256-torch.float16]": 0.24057999400000085,
+"tests/ops/experimental/test_rmsnorm_backward.py::Test_RMSNormAutogradBackward::test_op[cutile-multi_wave_cached-256-256-torch.float32]": 0.2357136100000048,
+"tests/ops/experimental/test_rmsnorm_backward.py::Test_RMSNormAutogradBackward::test_op[cutile-multi_wave_cached-4096-256-torch.bfloat16]": 0.2471620830000063,
+"tests/ops/experimental/test_rmsnorm_backward.py::Test_RMSNormAutogradBackward::test_op[cutile-multi_wave_reload-256-256-torch.float16]": 0.2633451029999492,
+"tests/ops/experimental/test_rmsnorm_backward.py::Test_RMSNormAutogradBackward::test_op[cutile-multi_wave_reload-256-256-torch.float32]": 0.26394804700001373,
+"tests/ops/experimental/test_rmsnorm_backward.py::Test_RMSNormAutogradBackward::test_op[cutile-multi_wave_reload-4096-256-torch.bfloat16]": 0.26515150500003415,
+"tests/ops/experimental/test_rmsnorm_backward.py::Test_RMSNormAutogradBackward::test_op[cutile-static_persistent-256-256-torch.float16]": 2.003419225000016,
+"tests/ops/experimental/test_rmsnorm_backward.py::Test_RMSNormAutogradBackward::test_op[cutile-static_persistent-256-256-torch.float32]": 1.3273204810000152,
+"tests/ops/experimental/test_rmsnorm_backward.py::Test_RMSNormAutogradBackward::test_op[cutile-static_persistent-4096-256-torch.bfloat16]": 1.4279951529999835,
+"tests/ops/experimental/test_rmsnorm_backward.py::Test_RMSNormBackward::test_op[cutile-2003-2001-torch.float16]": 1.101983930999893,
+"tests/ops/experimental/test_rmsnorm_backward.py::Test_RMSNormBackward::test_op[cutile-256-256-torch.float16]": 0.16623270000008006,
+"tests/ops/experimental/test_rmsnorm_backward.py::Test_RMSNormBackward::test_op[cutile-256-256-torch.float32]": 0.2175225430000296,
+"tests/ops/experimental/test_rmsnorm_backward.py::Test_RMSNormBackward::test_op[cutile-31072-4096-torch.bfloat16]": 5.124035616999947,
+"tests/ops/experimental/test_rmsnorm_backward.py::Test_RMSNormBackward::test_op[cutile-4096-256-torch.bfloat16]": 0.14349989100003313,
+"tests/ops/experimental/test_sparse_mla.py::Test_SparseMLA::test_op_basic[cutile-torch.bfloat16-1-16-64-128-128-64-1-64]": 22.06936747100002,
+"tests/ops/experimental/test_sparse_mla.py::Test_SparseMLA::test_op_basic[cutile-torch.bfloat16-1-64-128-256-128-64-1-256]": 69.36652996700002,
+"tests/ops/experimental/test_sparse_mla.py::Test_SparseMLA::test_op_basic[cutile-torch.bfloat16-2-32-128-256-128-64-1-128]": 51.643498911999984,
+"tests/ops/experimental/test_sparse_mla.py::Test_SparseMLA::test_op_gqa[cutile-torch.bfloat16-1-16-64-128-128-64-4-64]": 11.31254908699998,
+"tests/ops/experimental/test_sparse_mla.py::Test_SparseMLA::test_op_gqa[cutile-torch.bfloat16-1-32-64-128-128-64-8-64]": 11.404517500999987,
+"tests/ops/experimental/test_sparse_mla.py::Test_SparseMLA::test_op_invalid_kernel_configs[cutile]": 0.13961207099998774,
+"tests/ops/experimental/test_sparse_mla.py::Test_SparseMLA::test_op_irregular_shapes[cutile-torch.bfloat16-1-16-1-128-128-64-1-64]": 22.010713812999995,
+"tests/ops/experimental/test_sparse_mla.py::Test_SparseMLA::test_op_irregular_shapes[cutile-torch.bfloat16-1-16-33-77-128-64-1-64]": 21.416689667999947,
+"tests/ops/experimental/test_sparse_mla.py::Test_SparseMLA::test_op_tile_h_configs[cutile-torch.bfloat16-16-1-16-32-TILE_H with small TILE_N]": 0.13469336299999668,
+"tests/ops/experimental/test_sparse_mla.py::Test_SparseMLA::test_op_tile_h_configs[cutile-torch.bfloat16-16-1-4-64-small TILE_H]": 0.17357748599999923,
+"tests/ops/experimental/test_sparse_mla.py::Test_SparseMLA::test_op_tile_h_configs[cutile-torch.bfloat16-16-16-1-64-1:1 mapping fallback]": 0.787330628999996,
+"tests/ops/experimental/test_sparse_mla.py::Test_SparseMLA::test_op_tile_h_configs[cutile-torch.bfloat16-16-4-4-64-GQA group_size=4]": 0.1873256790000255,
+"tests/ops/experimental/test_sparse_mla.py::Test_SparseMLA::test_op_tile_h_configs[cutile-torch.bfloat16-18-6-1-64-odd prime group_size=3 fallback]": 0.7780100930000344,
+"tests/ops/experimental/test_sparse_mla.py::Test_SparseMLA::test_op_tile_h_configs[cutile-torch.bfloat16-24-4-2-64-non_pow2 group_size=6, TILE_H=2]": 0.7707232060000706,
+"tests/ops/experimental/test_sparse_mla.py::Test_SparseMLA::test_op_tile_h_configs[cutile-torch.bfloat16-24-8-1-64-non_pow2 group_size=3 fallback]": 0.725746896999965,
+"tests/ops/experimental/test_sparse_mla.py::Test_SparseMLA::test_op_tile_h_configs[cutile-torch.bfloat16-64-1-16-64-large TILE_H]": 0.17337533499994606,
+"tests/ops/experimental/test_sparse_mla.py::Test_SparseMLA::test_op_topk_equals_skv[cutile-torch.bfloat16-1-16-64-128-64-1]": 0.14102458700000398,
+"tests/ops/experimental/test_swa_attention.py::TestSWAAttention::test_op_first_tokens[cutile]": 0.11241659300009132,
+"tests/ops/experimental/test_swa_attention.py::TestSWAAttention::test_op_gqa[cutile]": 0.11395471299999826,
+"tests/ops/experimental/test_swa_attention.py::TestSWAAttention::test_op_long_context_mistral[cutile]": 0.10483300299995335,
+"tests/ops/experimental/test_swa_attention.py::TestSWAAttention::test_op_multi_head[cutile]": 0.106871778000027,
+"tests/ops/experimental/test_swa_attention.py::TestSWAAttention::test_op_seq_not_divisible_by_tile[cutile]": 0.10406586500005233,
+"tests/ops/experimental/test_swa_attention.py::TestSWAAttention::test_op_small_window[cutile]": 0.1579966470000045,
+"tests/ops/experimental/test_swa_attention.py::TestSWAAttention::test_op_various_configs[cutile-1024-512]": 0.12147214900005565,
+"tests/ops/experimental/test_swa_attention.py::TestSWAAttention::test_op_various_configs[cutile-2048-1024]": 0.10924157099992726,
+"tests/ops/experimental/test_swa_attention.py::TestSWAAttention::test_op_various_configs[cutile-4096-2048]": 0.10773181500002238,
+"tests/ops/experimental/test_swa_attention.py::TestSWAAttention::test_op_various_configs[cutile-4096-4096]": 0.10946186500001431,
+"tests/ops/experimental/test_swa_attention.py::TestSWAAttention::test_op_various_configs[cutile-512-256]": 0.11835552299993424,
+"tests/ops/experimental/test_swa_attention.py::TestSWAAttention::test_op_very_small_seq[cutile]": 0.10360104500006173,
+"tests/ops/experimental/test_swa_attention.py::TestSWAAttention::test_op_window_equals_seq[cutile]": 0.8699180819999697,
+"tests/ops/experimental/test_swa_attention.py::TestSWAAttention::test_op_window_equals_tile[cutile]": 0.1050169799999594,
+"tests/ops/experimental/test_swa_attention.py::TestSWAAttention::test_op_window_of_one[cutile]": 0.10522649300003195,
+"tests/ops/test_attention.py::Test_FMHA::test_op[cutile-1-1-9-128-False-torch.bfloat16]": 0.001343370999961735,
+"tests/ops/test_attention.py::Test_FMHA::test_op[cutile-1-32-2047-128-True-torch.float16]": 0.0011465680000242173,
+"tests/ops/test_attention.py::Test_FMHA::test_op[cutile-2-32-4095-128-True-torch.bfloat16]": 0.0011452090000148019,
+"tests/ops/test_attention.py::Test_FMHA::test_op[cutile-2-32-4095-128-True-torch.float8_e5m2]": 0.003290268999990076,
+"tests/ops/test_attention.py::Test_FMHA::test_op[tilecpp-1-1-9-128-False-torch.bfloat16]": 0.002801187999978083,
+"tests/ops/test_attention.py::Test_FMHA::test_op[tilecpp-1-32-2047-128-True-torch.float16]": 0.0027624399999695015,
+"tests/ops/test_attention.py::Test_FMHA::test_op[tilecpp-2-32-4095-128-True-torch.bfloat16]": 0.0022882629999685378,
+"tests/ops/test_attention.py::Test_FMHA::test_op[tilecpp-2-32-4095-128-True-torch.float8_e5m2]": 0.0013816710000469357,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-128-0.125-64-8-8-128-1-1]": 23.704070800000068,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-128-0.125-64-8-8-128-1-2]": 23.50627057199995,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-128-0.125-64-8-8-128-128-1]": 0.9477205100000674,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-128-0.125-64-8-8-128-128-2]": 19.085101509999987,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-128-0.125-64-8-8-128-257-1]": 0.0012544039999795586,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-128-0.125-64-8-8-128-257-2]": 0.0011682260000043243,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-128-0.125-64-8-8-263-1-1]": 24.577172985999994,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-128-0.125-64-8-8-263-1-2]": 24.31205593599998,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-128-0.125-64-8-8-263-128-1]": 19.118537832000015,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-128-0.125-64-8-8-263-128-2]": 1.0482988729999647,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-128-0.125-64-8-8-263-257-1]": 19.224898078000024,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-128-0.125-64-8-8-263-257-2]": 1.1642565389999504,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-128-0.125-64-8-8-32-1-1]": 21.517406740000013,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-128-0.125-64-8-8-32-1-2]": 21.648265535000007,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-128-0.125-64-8-8-32-128-1]": 0.0014411999999595082,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-128-0.125-64-8-8-32-128-2]": 0.0017130039999813107,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-128-0.125-64-8-8-32-257-1]": 0.0017080239999813784,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-128-0.125-64-8-8-32-257-2]": 0.0011813120000283561,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-None-0.125-64-8-8-128-1-1]": 0.9962515670000016,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-None-0.125-64-8-8-128-1-2]": 6.576720188999957,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-None-0.125-64-8-8-128-128-1]": 17.257611478000058,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-None-0.125-64-8-8-128-128-2]": 1.1578857169999992,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-None-0.125-64-8-8-128-257-1]": 0.0014249129999939214,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-None-0.125-64-8-8-128-257-2]": 0.0011311920000025566,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-None-0.125-64-8-8-263-1-1]": 22.48581587400008,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-None-0.125-64-8-8-263-1-2]": 22.288023687999953,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-None-0.125-64-8-8-263-128-1]": 17.112013364999996,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-None-0.125-64-8-8-263-128-2]": 1.0468311680000397,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-None-0.125-64-8-8-263-257-1]": 17.250971669000023,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-None-0.125-64-8-8-263-257-2]": 1.0309386209999616,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-None-0.125-64-8-8-32-1-1]": 19.930991481999968,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-None-0.125-64-8-8-32-1-2]": 19.791685528000073,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-None-0.125-64-8-8-32-128-1]": 0.001257443999975294,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-None-0.125-64-8-8-32-128-2]": 0.0011268069999346153,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-None-0.125-64-8-8-32-257-1]": 0.001110958000026585,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-0-None-0.125-64-8-8-32-257-2]": 0.0011036710000098537,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-128-0.125-64-8-8-128-1-1]": 23.59875952499999,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-128-0.125-64-8-8-128-1-2]": 23.66715694100003,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-128-0.125-64-8-8-128-128-1]": 0.9961052279999194,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-128-0.125-64-8-8-128-128-2]": 0.14769920399999137,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-128-0.125-64-8-8-128-257-1]": 0.0012268820000826963,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-128-0.125-64-8-8-128-257-2]": 0.0012547630000199206,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-128-0.125-64-8-8-263-1-1]": 0.09786257400003251,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-128-0.125-64-8-8-263-1-2]": 0.0944520709997505,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-128-0.125-64-8-8-263-128-1]": 0.09298909199992522,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-128-0.125-64-8-8-263-128-2]": 0.09426422800004275,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-128-0.125-64-8-8-263-257-1]": 0.10221304800006692,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-128-0.125-64-8-8-263-257-2]": 0.09965924599987375,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-128-0.125-64-8-8-32-1-1]": 0.10218519600005038,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-128-0.125-64-8-8-32-1-2]": 0.10000936500000535,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-128-0.125-64-8-8-32-128-1]": 0.0017083480000792406,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-128-0.125-64-8-8-32-128-2]": 0.005470971000022473,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-128-0.125-64-8-8-32-257-1]": 0.0011860810000143829,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-128-0.125-64-8-8-32-257-2]": 0.0013091340000528362,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-None-0.125-64-8-8-128-1-1]": 22.081492679000007,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-None-0.125-64-8-8-128-1-2]": 22.12333115900003,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-None-0.125-64-8-8-128-128-1]": 17.460128662999978,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-None-0.125-64-8-8-128-128-2]": 1.1562431460000084,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-None-0.125-64-8-8-128-257-1]": 0.001307529000030172,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-None-0.125-64-8-8-128-257-2]": 0.0011544370000819981,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-None-0.125-64-8-8-263-1-1]": 22.49812479900004,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-None-0.125-64-8-8-263-1-2]": 22.367382099000054,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-None-0.125-64-8-8-263-128-1]": 17.08310325100001,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-None-0.125-64-8-8-263-128-2]": 0.984072493000042,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-None-0.125-64-8-8-263-257-1]": 17.28149984700002,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-None-0.125-64-8-8-263-257-2]": 1.0283867239999722,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-None-0.125-64-8-8-32-1-1]": 19.882275853999943,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-None-0.125-64-8-8-32-1-2]": 19.79750407800003,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-None-0.125-64-8-8-32-128-1]": 0.0012471980000441363,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-None-0.125-64-8-8-32-128-2]": 0.0011698700000124518,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-None-0.125-64-8-8-32-257-1]": 0.0014258550000363357,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[cutile-5-None-0.125-64-8-8-32-257-2]": 0.0011768240000264996,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-128-0.125-64-8-8-128-1-1]": 0.847045550999951,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-128-0.125-64-8-8-128-1-2]": 0.8090225830000009,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-128-0.125-64-8-8-128-128-1]": 0.8239683209999384,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-128-0.125-64-8-8-128-128-2]": 0.8303841710001052,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-128-0.125-64-8-8-128-257-1]": 0.0011630450001121062,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-128-0.125-64-8-8-128-257-2]": 0.0011248069999965082,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-128-0.125-64-8-8-263-1-1]": 0.8718306370000164,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-128-0.125-64-8-8-263-1-2]": 0.8699745479999592,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-128-0.125-64-8-8-263-128-1]": 0.8352434640000865,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-128-0.125-64-8-8-263-128-2]": 0.8737538720000657,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-128-0.125-64-8-8-263-257-1]": 0.9918934279999121,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-128-0.125-64-8-8-263-257-2]": 1.7104784970000537,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-128-0.125-64-8-8-32-1-1]": 0.873267849000058,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-128-0.125-64-8-8-32-1-2]": 0.823801810999953,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-128-0.125-64-8-8-32-128-1]": 0.0012009719999923618,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-128-0.125-64-8-8-32-128-2]": 0.0010730750000220723,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-128-0.125-64-8-8-32-257-1]": 0.0010740270000724195,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-128-0.125-64-8-8-32-257-2]": 0.005559736000009252,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-None-0.125-64-8-8-128-1-1]": 25.265668726000058,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-None-0.125-64-8-8-128-1-2]": 0.9232511970000132,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-None-0.125-64-8-8-128-128-1]": 0.8263214160000416,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-None-0.125-64-8-8-128-128-2]": 0.8404735520000486,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-None-0.125-64-8-8-128-257-1]": 0.0012234140000373372,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-None-0.125-64-8-8-128-257-2]": 0.0010929560000931815,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-None-0.125-64-8-8-263-1-1]": 0.8386620759999914,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-None-0.125-64-8-8-263-1-2]": 0.8465373880000016,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-None-0.125-64-8-8-263-128-1]": 0.8250571300000047,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-None-0.125-64-8-8-263-128-2]": 0.8724948420000374,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-None-0.125-64-8-8-263-257-1]": 1.3310134130000506,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-None-0.125-64-8-8-263-257-2]": 1.9732397310000351,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-None-0.125-64-8-8-32-1-1]": 23.720056097999986,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-None-0.125-64-8-8-32-1-2]": 0.8437524319999739,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-None-0.125-64-8-8-32-128-1]": 0.0011864980000382275,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-None-0.125-64-8-8-32-128-2]": 0.001060535000078744,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-None-0.125-64-8-8-32-257-1]": 0.0010696829999687907,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-0-None-0.125-64-8-8-32-257-2]": 0.0011419319999959043,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-128-0.125-64-8-8-128-1-1]": 28.672369663000012,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-128-0.125-64-8-8-128-1-2]": 0.8296047460000011,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-128-0.125-64-8-8-128-128-1]": 0.8110527910000087,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-128-0.125-64-8-8-128-128-2]": 0.8302524990000393,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-128-0.125-64-8-8-128-257-1]": 0.0011993009999287096,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-128-0.125-64-8-8-128-257-2]": 0.0011121230000412652,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-128-0.125-64-8-8-263-1-1]": 30.96031399399999,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-128-0.125-64-8-8-263-1-2]": 1.2035176470000124,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-128-0.125-64-8-8-263-128-1]": 0.8375881779999759,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-128-0.125-64-8-8-263-128-2]": 1.1744516400000293,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-128-0.125-64-8-8-263-257-1]": 1.4424633299999527,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-128-0.125-64-8-8-263-257-2]": 2.0870220539999877,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-128-0.125-64-8-8-32-1-1]": 26.618954280000025,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-128-0.125-64-8-8-32-1-2]": 0.8238242489999834,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-128-0.125-64-8-8-32-128-1]": 0.0012188240000341466,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-128-0.125-64-8-8-32-128-2]": 0.0011054010000179915,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-128-0.125-64-8-8-32-257-1]": 0.0010931509999636546,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-128-0.125-64-8-8-32-257-2]": 0.0011057260000484348,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-None-0.125-64-8-8-128-1-1]": 0.14282025600005,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-None-0.125-64-8-8-128-1-2]": 0.13565990899985536,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-None-0.125-64-8-8-128-128-1]": 0.13149266100003842,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-None-0.125-64-8-8-128-128-2]": 0.12614108000002489,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-None-0.125-64-8-8-128-257-1]": 0.0013557429999764281,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-None-0.125-64-8-8-128-257-2]": 0.001608551999993324,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-None-0.125-64-8-8-263-1-1]": 0.13086154100005842,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-None-0.125-64-8-8-263-1-2]": 0.12184721200003423,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-None-0.125-64-8-8-263-128-1]": 0.12632604899999933,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-None-0.125-64-8-8-263-128-2]": 0.11654141999997591,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-None-0.125-64-8-8-263-257-1]": 0.11670101500010333,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-None-0.125-64-8-8-263-257-2]": 29.715654839000024,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-None-0.125-64-8-8-32-1-1]": 0.12184361499998886,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-None-0.125-64-8-8-32-1-2]": 0.11993244600000708,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-None-0.125-64-8-8-32-128-1]": 0.0012561630001073354,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-None-0.125-64-8-8-32-128-2]": 0.0015351790000295296,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-None-0.125-64-8-8-32-257-1]": 0.001262304999954722,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op[tilecpp-5-None-0.125-64-8-8-32-257-2]": 0.001347938000094473,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op_cuda_graph[torch.int32-16-cutile]": 19.173492650000014,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op_cuda_graph[torch.int32-16-tilecpp]": 28.67858095500003,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op_cuda_graph[torch.int32-None-cutile]": 17.336093566999978,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op_cuda_graph[torch.int32-None-tilecpp]": 25.819700862000104,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op_cuda_graph[torch.int64-16-cutile]": 0.09988297000001012,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op_cuda_graph[torch.int64-16-tilecpp]": 0.09757619299995213,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op_cuda_graph[torch.int64-None-cutile]": 0.13928247600000532,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op_cuda_graph[torch.int64-None-tilecpp]": 0.1030553890000192,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op_start_q_shape[()-torch.int32-tilecpp]": 0.09752659599996605,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op_start_q_shape[()-torch.int64-tilecpp]": 0.10568413699996881,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op_start_q_shape[(0,)-torch.int32-tilecpp]": 0.103511181999977,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op_start_q_shape[(0,)-torch.int64-tilecpp]": 0.10721997199993893,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op_start_q_shape[(1, 0)-torch.int32-tilecpp]": 0.10888558500005274,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op_start_q_shape[(1, 0)-torch.int64-tilecpp]": 0.09667812899999717,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op_start_q_shape[(1, 1)-torch.int32-tilecpp]": 0.10863263799996048,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op_start_q_shape[(1, 1)-torch.int64-tilecpp]": 0.09950526200003651,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op_start_q_shape[(1, 2)-torch.int32-tilecpp]": 0.1026522859999659,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op_start_q_shape[(1, 2)-torch.int64-tilecpp]": 0.10282039100002294,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op_start_q_shape[(1,)-torch.int32-tilecpp]": 0.1109682160000034,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op_start_q_shape[(1,)-torch.int64-tilecpp]": 0.11377537000004168,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op_start_q_shape[(2,)-torch.int32-tilecpp]": 0.09578752600003781,
+"tests/ops/test_attention_sink.py::Test_AttentionSink::test_op_start_q_shape[(2,)-torch.int64-tilecpp]": 0.09778734900004338,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-cutile-0-False-None-0.0-bnsd-False]": 0.0012264160000654556,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-cutile-0-False-None-0.0-bnsd-True]": 0.001240856000038093,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-cutile-0-False-None-0.0-nsbd-False]": 0.0012794140000096377,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-cutile-0-False-None-0.1-bnsd-False]": 0.0013873750000357177,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-cutile-0-False-alibi-0.0-bnsd-False]": 0.0013881959999935134,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-cutile-0-False-alibi-0.1-nsbd-True]": 0.0012814279999702194,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-cutile-0-False-matrix-0.0-bnsd-False]": 0.0012388709999981984,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-cutile-0-False-vector-0.0-bnsd-False]": 0.001245829000026788,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-cutile-0-True-None-0.0-bnsd-False]": 0.001363120999997136,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-cutile-512-False-None-0.0-bnsd-False]": 0.0012621250000393047,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-cutile-512-True-None-0.0-nsbd-True]": 0.0015806989999873622,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-cutile-512-True-matrix-0.1-nsbd-True]": 0.0012437210000371124,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-triton-0-False-None-0.0-bnsd-False]": 0.001234402999955364,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-triton-0-False-None-0.0-bnsd-True]": 0.001254086000017196,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-triton-0-False-None-0.0-nsbd-False]": 0.0012644780000528044,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-triton-0-False-None-0.1-bnsd-False]": 0.001255258999947273,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-triton-0-False-alibi-0.0-bnsd-False]": 0.001766981000002943,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-triton-0-False-alibi-0.1-nsbd-True]": 0.0012784319999923355,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-triton-0-False-matrix-0.0-bnsd-False]": 0.0012182360000565495,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-triton-0-False-vector-0.0-bnsd-False]": 0.001230015999965417,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-triton-0-True-None-0.0-bnsd-False]": 0.0013537190000079136,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-triton-512-False-None-0.0-bnsd-False]": 0.0012496300000748306,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-triton-512-True-None-0.0-nsbd-True]": 0.001262144999998327,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-False-torch.bfloat16-triton-512-True-matrix-0.1-nsbd-True]": 0.0012508440000260634,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-cutile-0-False-None-0.0-bnsd-False]": 0.0012366990000032274,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-cutile-0-False-None-0.0-bnsd-True]": 0.0012345900000241272,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-cutile-0-False-None-0.0-nsbd-False]": 0.0012172849999387836,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-cutile-0-False-None-0.1-bnsd-False]": 0.0012363220000111141,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-cutile-0-False-alibi-0.0-bnsd-False]": 0.001863948999925924,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-cutile-0-False-alibi-0.1-nsbd-True]": 0.0012255989999516714,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-cutile-0-False-matrix-0.0-bnsd-False]": 0.0012307929999906264,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-cutile-0-False-vector-0.0-bnsd-False]": 0.0012173159999520067,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-cutile-0-True-None-0.0-bnsd-False]": 0.0013833410000074764,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-cutile-512-False-None-0.0-bnsd-False]": 0.0012569179999672997,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-cutile-512-True-None-0.0-nsbd-True]": 0.001339702999985093,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-cutile-512-True-matrix-0.1-nsbd-True]": 0.0012380080000298221,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-triton-0-False-None-0.0-bnsd-False]": 0.0012757130000409234,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-triton-0-False-None-0.0-bnsd-True]": 0.0012480050000363008,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-triton-0-False-None-0.0-nsbd-False]": 0.0012610320000021602,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-triton-0-False-None-0.1-bnsd-False]": 0.0012604799999280658,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-triton-0-False-alibi-0.0-bnsd-False]": 0.0013884970000503927,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-triton-0-False-alibi-0.1-nsbd-True]": 0.001260150000007343,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-triton-0-False-matrix-0.0-bnsd-False]": 0.001246591999915836,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-triton-0-False-vector-0.0-bnsd-False]": 0.0012790060000043013,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-triton-0-True-None-0.0-bnsd-False]": 0.0013477469999543246,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-triton-512-False-None-0.0-bnsd-False]": 0.0012235040000518893,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-triton-512-True-None-0.0-nsbd-True]": 0.0013377359999822147,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-128-True-torch.bfloat16-triton-512-True-matrix-0.1-nsbd-True]": 0.0012540850000277715,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-cutile-0-False-None-0.0-bnsd-False]": 0.0012628929999891625,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-cutile-0-False-None-0.0-bnsd-True]": 0.0012509520000207885,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-cutile-0-False-None-0.0-nsbd-False]": 0.001233445999957894,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-cutile-0-False-None-0.1-bnsd-False]": 0.0012462640000308056,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-cutile-0-False-alibi-0.0-bnsd-False]": 0.0013612989999955971,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-cutile-0-False-alibi-0.1-nsbd-True]": 0.0012222439999618473,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-cutile-0-False-matrix-0.0-bnsd-False]": 0.0012304769999786913,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-cutile-0-False-vector-0.0-bnsd-False]": 0.0012618619999784642,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-cutile-0-True-None-0.0-bnsd-False]": 0.0014016280000532788,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-cutile-512-False-None-0.0-bnsd-False]": 0.001255248000006759,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-cutile-512-True-None-0.0-nsbd-True]": 0.001379538000037428,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-cutile-512-True-matrix-0.1-nsbd-True]": 0.0012346130000082667,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-triton-0-False-None-0.0-bnsd-False]": 0.0012657079999485177,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-triton-0-False-None-0.0-bnsd-True]": 0.001279419000013604,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-triton-0-False-None-0.0-nsbd-False]": 0.0012758419999840953,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-triton-0-False-None-0.1-bnsd-False]": 0.0013478039999768043,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-triton-0-False-alibi-0.0-bnsd-False]": 0.0018749139999840736,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-triton-0-False-alibi-0.1-nsbd-True]": 0.0012938649999796326,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-triton-0-False-matrix-0.0-bnsd-False]": 0.001250642999991669,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-triton-0-False-vector-0.0-bnsd-False]": 0.0013620249999917178,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-triton-0-True-None-0.0-bnsd-False]": 0.0013835800000379095,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-triton-512-False-None-0.0-bnsd-False]": 0.00123133400001052,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-triton-512-True-None-0.0-nsbd-True]": 0.0012462340000070071,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-False-torch.bfloat16-triton-512-True-matrix-0.1-nsbd-True]": 0.0012620239999705518,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-cutile-0-False-None-0.0-bnsd-False]": 0.001271335000012641,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-cutile-0-False-None-0.0-bnsd-True]": 0.001278267000031974,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-cutile-0-False-None-0.0-nsbd-False]": 0.0013681859999792323,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-cutile-0-False-None-0.1-bnsd-False]": 0.0013779310000359146,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-cutile-0-False-alibi-0.0-bnsd-False]": 0.0013489980000258583,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-cutile-0-False-alibi-0.1-nsbd-True]": 0.0012741020000817116,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-cutile-0-False-matrix-0.0-bnsd-False]": 0.0012059320000616935,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-cutile-0-False-vector-0.0-bnsd-False]": 0.0012243869999792878,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-cutile-0-True-None-0.0-bnsd-False]": 0.0014275080000629714,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-cutile-512-False-None-0.0-bnsd-False]": 0.0013473529999714629,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-cutile-512-True-None-0.0-nsbd-True]": 0.0013757789999431225,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-cutile-512-True-matrix-0.1-nsbd-True]": 0.0012373089999755393,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-triton-0-False-None-0.0-bnsd-False]": 0.0012617929999692024,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-triton-0-False-None-0.0-bnsd-True]": 0.0012675899999976536,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-triton-0-False-None-0.0-nsbd-False]": 0.0012378039999703105,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-triton-0-False-None-0.1-bnsd-False]": 0.0012703309999437806,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-triton-0-False-alibi-0.0-bnsd-False]": 0.0013753910000104952,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-triton-0-False-alibi-0.1-nsbd-True]": 0.0012342539999963265,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-triton-0-False-matrix-0.0-bnsd-False]": 0.0012697470000375688,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-triton-0-False-vector-0.0-bnsd-False]": 0.0012885359999472712,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-triton-0-True-None-0.0-bnsd-False]": 0.0013649109999960274,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-triton-512-False-None-0.0-bnsd-False]": 0.0012478169999212696,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-triton-512-True-None-0.0-nsbd-True]": 0.001356005000047844,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-2064-64-True-torch.bfloat16-triton-512-True-matrix-0.1-nsbd-True]": 0.0011997070000120402,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-cutile-0-False-None-0.0-bnsd-False]": 0.0012583419999714351,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-cutile-0-False-None-0.0-bnsd-True]": 0.0012401210000234641,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-cutile-0-False-None-0.0-nsbd-False]": 0.0012024029999793129,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-cutile-0-False-None-0.1-bnsd-False]": 0.0012196420000236685,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-cutile-0-False-alibi-0.0-bnsd-False]": 0.0013657990000410791,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-cutile-0-False-alibi-0.1-nsbd-True]": 0.0012609800000404903,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-cutile-0-False-matrix-0.0-bnsd-False]": 0.0012287040000273919,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-cutile-0-False-vector-0.0-bnsd-False]": 0.00122177800000145,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-cutile-0-True-None-0.0-bnsd-False]": 0.0013516330000129528,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-cutile-512-False-None-0.0-bnsd-False]": 0.0012538159999735399,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-cutile-512-True-None-0.0-nsbd-True]": 0.0013700700000072175,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-cutile-512-True-matrix-0.1-nsbd-True]": 0.0012671200000227145,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-triton-0-False-None-0.0-bnsd-False]": 0.0012587170000415426,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-triton-0-False-None-0.0-bnsd-True]": 0.0012476620000825278,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-triton-0-False-None-0.0-nsbd-False]": 0.001248200999953042,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-triton-0-False-None-0.1-bnsd-False]": 0.001244701000018722,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-triton-0-False-alibi-0.0-bnsd-False]": 0.0017152330000271832,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-triton-0-False-alibi-0.1-nsbd-True]": 0.001257988999952886,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-triton-0-False-matrix-0.0-bnsd-False]": 0.00123480800004927,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-triton-0-False-vector-0.0-bnsd-False]": 0.0012412209999865809,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-triton-0-True-None-0.0-bnsd-False]": 0.0013429729999643314,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-triton-512-False-None-0.0-bnsd-False]": 0.0012505049999731455,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-triton-512-True-None-0.0-nsbd-True]": 0.0012565760000029513,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-False-torch.bfloat16-triton-512-True-matrix-0.1-nsbd-True]": 0.001255528000058348,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-cutile-0-False-None-0.0-bnsd-False]": 0.0013976789999787798,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-cutile-0-False-None-0.0-bnsd-True]": 0.0012502419999691483,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-cutile-0-False-None-0.0-nsbd-False]": 0.0012598899999716195,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-cutile-0-False-None-0.1-bnsd-False]": 0.0013051340000060918,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-cutile-0-False-alibi-0.0-bnsd-False]": 0.0015304979999655188,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-cutile-0-False-alibi-0.1-nsbd-True]": 0.0012645589999920048,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-cutile-0-False-matrix-0.0-bnsd-False]": 0.0013974010000197268,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-cutile-0-False-vector-0.0-bnsd-False]": 0.0013932449999742857,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-cutile-0-True-None-0.0-bnsd-False]": 0.001562233000015567,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-cutile-512-False-None-0.0-bnsd-False]": 0.0015976159999695483,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-cutile-512-True-None-0.0-nsbd-True]": 0.0013749810000263096,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-cutile-512-True-matrix-0.1-nsbd-True]": 0.001256845999989764,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-triton-0-False-None-0.0-bnsd-False]": 0.0013880600000675258,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-triton-0-False-None-0.0-bnsd-True]": 0.0013980660000356693,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-triton-0-False-None-0.0-nsbd-False]": 0.00545318000001771,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-triton-0-False-None-0.1-bnsd-False]": 0.006664591999992808,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-triton-0-False-alibi-0.0-bnsd-False]": 0.0012760719999960202,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-triton-0-False-alibi-0.1-nsbd-True]": 0.0012845249999031694,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-triton-0-False-matrix-0.0-bnsd-False]": 0.001286581999977443,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-triton-0-False-vector-0.0-bnsd-False]": 0.001271066000015253,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-triton-0-True-None-0.0-bnsd-False]": 0.0012732889999824692,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-triton-512-False-None-0.0-bnsd-False]": 0.0012796489999686855,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-triton-512-True-None-0.0-nsbd-True]": 0.0013893450000068697,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-128-True-torch.bfloat16-triton-512-True-matrix-0.1-nsbd-True]": 0.00516505100000586,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-cutile-0-False-None-0.0-bnsd-False]": 0.0014295389999574581,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-cutile-0-False-None-0.0-bnsd-True]": 0.0015489619999584647,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-cutile-0-False-None-0.0-nsbd-False]": 0.0012599959999874955,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-cutile-0-False-None-0.1-bnsd-False]": 0.0014088320000382737,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-cutile-0-False-alibi-0.0-bnsd-False]": 0.0012520639999138439,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-cutile-0-False-alibi-0.1-nsbd-True]": 0.002126731000032578,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-cutile-0-False-matrix-0.0-bnsd-False]": 0.0012679249999791864,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-cutile-0-False-vector-0.0-bnsd-False]": 0.001403647000017827,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-cutile-0-True-None-0.0-bnsd-False]": 0.0012747080000394817,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-cutile-512-False-None-0.0-bnsd-False]": 0.0012376370000310999,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-cutile-512-True-None-0.0-nsbd-True]": 0.0012442669999472855,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-cutile-512-True-matrix-0.1-nsbd-True]": 0.0012636779999297687,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-triton-0-False-None-0.0-bnsd-False]": 0.001379711000026873,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-triton-0-False-None-0.0-bnsd-True]": 0.0012723330000312671,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-triton-0-False-None-0.0-nsbd-False]": 0.0012967529999627914,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-triton-0-False-None-0.1-bnsd-False]": 0.0013495970000576563,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-triton-0-False-alibi-0.0-bnsd-False]": 0.0012297219999481968,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-triton-0-False-alibi-0.1-nsbd-True]": 0.0013872079999259768,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-triton-0-False-matrix-0.0-bnsd-False]": 0.001253905999988092,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-triton-0-False-vector-0.0-bnsd-False]": 0.0012520639999706873,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-triton-0-True-None-0.0-bnsd-False]": 0.0012656180000476525,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-triton-512-False-None-0.0-bnsd-False]": 0.0012416600000051403,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-triton-512-True-None-0.0-nsbd-True]": 0.0012449839999817414,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-False-torch.bfloat16-triton-512-True-matrix-0.1-nsbd-True]": 0.0012349189999554255,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-cutile-0-False-None-0.0-bnsd-False]": 0.0014123299999937444,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-cutile-0-False-None-0.0-bnsd-True]": 0.001240037000002303,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-cutile-0-False-None-0.0-nsbd-False]": 0.0012923190000151408,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-cutile-0-False-None-0.1-bnsd-False]": 0.0013762660000224969,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-cutile-0-False-alibi-0.0-bnsd-False]": 0.0013670579999711663,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-cutile-0-False-alibi-0.1-nsbd-True]": 0.0013975620000223898,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-cutile-0-False-matrix-0.0-bnsd-False]": 0.0012852400000156194,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-cutile-0-False-vector-0.0-bnsd-False]": 0.0012618470000802517,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-cutile-0-True-None-0.0-bnsd-False]": 0.0014651829999934307,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-cutile-512-False-None-0.0-bnsd-False]": 0.00130918899998278,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-cutile-512-True-None-0.0-nsbd-True]": 0.001241069000002426,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-cutile-512-True-matrix-0.1-nsbd-True]": 0.001257948999977998,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-triton-0-False-None-0.0-bnsd-False]": 0.0013271250000457258,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-triton-0-False-None-0.0-bnsd-True]": 0.0031475609999915832,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-triton-0-False-None-0.0-nsbd-False]": 0.004279335000035189,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-triton-0-False-None-0.1-bnsd-False]": 0.0013709570000628446,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-triton-0-False-alibi-0.0-bnsd-False]": 0.0012766840000040247,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-triton-0-False-alibi-0.1-nsbd-True]": 0.0015114729999936571,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-triton-0-False-matrix-0.0-bnsd-False]": 0.0012705799999821465,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-triton-0-False-vector-0.0-bnsd-False]": 0.0012692850000348699,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-triton-0-True-None-0.0-bnsd-False]": 0.0014177250000102504,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-triton-512-False-None-0.0-bnsd-False]": 0.0014842940000789895,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-triton-512-True-None-0.0-nsbd-True]": 0.0014449759999024536,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-128-496-64-True-torch.bfloat16-triton-512-True-matrix-0.1-nsbd-True]": 0.0013078220000579677,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-cutile-0-False-None-0.0-bnsd-False]": 0.001276183000072706,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-cutile-0-False-None-0.0-bnsd-True]": 0.0012362359999542605,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-cutile-0-False-None-0.0-nsbd-False]": 0.0012906559999237288,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-cutile-0-False-None-0.1-bnsd-False]": 0.0012484090000270953,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-cutile-0-False-alibi-0.0-bnsd-False]": 0.0013754599999629136,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-cutile-0-False-alibi-0.1-nsbd-True]": 0.0012874550000105955,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-cutile-0-False-matrix-0.0-bnsd-False]": 0.0013284940000062306,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-cutile-0-False-vector-0.0-bnsd-False]": 0.0012889419999737584,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-cutile-0-True-None-0.0-bnsd-False]": 0.0013712010000404007,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-cutile-512-False-None-0.0-bnsd-False]": 0.0012564710000333434,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-cutile-512-True-None-0.0-nsbd-True]": 0.0014096200000608405,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-cutile-512-True-matrix-0.1-nsbd-True]": 0.0012718689999928756,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-triton-0-False-None-0.0-bnsd-False]": 0.001361006999957226,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-triton-0-False-None-0.0-bnsd-True]": 0.0012758510000026035,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-triton-0-False-None-0.0-nsbd-False]": 0.0013169689999585898,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-triton-0-False-None-0.1-bnsd-False]": 0.0014590299999781564,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-triton-0-False-alibi-0.0-bnsd-False]": 0.0019694880000429293,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-triton-0-False-alibi-0.1-nsbd-True]": 0.0012776420000477628,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-triton-0-False-matrix-0.0-bnsd-False]": 0.0016267229999584742,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-triton-0-False-vector-0.0-bnsd-False]": 0.0012770519999776297,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-triton-0-True-None-0.0-bnsd-False]": 0.0015622689999759132,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-triton-512-False-None-0.0-bnsd-False]": 0.0012791670000069644,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-triton-512-True-None-0.0-nsbd-True]": 0.0012871320000158448,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-False-torch.bfloat16-triton-512-True-matrix-0.1-nsbd-True]": 0.001252686000043468,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-cutile-0-False-None-0.0-bnsd-False]": 0.0012670129999605706,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-cutile-0-False-None-0.0-bnsd-True]": 0.0016048100000034538,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-cutile-0-False-None-0.0-nsbd-False]": 0.0017991260000371767,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-cutile-0-False-None-0.1-bnsd-False]": 0.0012656630000265068,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-cutile-0-False-alibi-0.0-bnsd-False]": 0.0013733619999811708,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-cutile-0-False-alibi-0.1-nsbd-True]": 0.001323233999983131,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-cutile-0-False-matrix-0.0-bnsd-False]": 0.0012468449999687437,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-cutile-0-False-vector-0.0-bnsd-False]": 0.0012431380000066383,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-cutile-0-True-None-0.0-bnsd-False]": 0.0013611780000246654,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-cutile-512-False-None-0.0-bnsd-False]": 0.0012340919999473954,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-cutile-512-True-None-0.0-nsbd-True]": 0.001645171999939521,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-cutile-512-True-matrix-0.1-nsbd-True]": 0.001290467999979228,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-triton-0-False-None-0.0-bnsd-False]": 0.0012713959999928193,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-triton-0-False-None-0.0-bnsd-True]": 0.0012029989999291502,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-triton-0-False-None-0.0-nsbd-False]": 0.001231345999997302,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-triton-0-False-None-0.1-bnsd-False]": 0.001251435999961359,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-triton-0-False-alibi-0.0-bnsd-False]": 0.0013517310000565885,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-triton-0-False-alibi-0.1-nsbd-True]": 0.0012226970000028814,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-triton-0-False-matrix-0.0-bnsd-False]": 0.0012442049999776827,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-triton-0-False-vector-0.0-bnsd-False]": 0.0012580399999819747,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-triton-0-True-None-0.0-bnsd-False]": 0.001377223000019967,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-triton-512-False-None-0.0-bnsd-False]": 0.001239264000048479,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-triton-512-True-None-0.0-nsbd-True]": 0.0013603689999968083,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-128-True-torch.bfloat16-triton-512-True-matrix-0.1-nsbd-True]": 0.001241423999942981,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-cutile-0-False-None-0.0-bnsd-False]": 0.001255890000038562,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-cutile-0-False-None-0.0-bnsd-True]": 0.001263894999965487,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-cutile-0-False-None-0.0-nsbd-False]": 0.0012602749999928164,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-cutile-0-False-None-0.1-bnsd-False]": 0.0012444000000186861,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-cutile-0-False-alibi-0.0-bnsd-False]": 0.0013900929999977052,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-cutile-0-False-alibi-0.1-nsbd-True]": 0.0012582589999965421,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-cutile-0-False-matrix-0.0-bnsd-False]": 0.001260523999974339,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-cutile-0-False-vector-0.0-bnsd-False]": 0.0012656400000423673,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-cutile-0-True-None-0.0-bnsd-False]": 0.001386808999995992,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-cutile-512-False-None-0.0-bnsd-False]": 0.0012515159999679781,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-cutile-512-True-None-0.0-nsbd-True]": 0.0013781199999698401,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-cutile-512-True-matrix-0.1-nsbd-True]": 0.0012463169999819002,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-triton-0-False-None-0.0-bnsd-False]": 0.0012387799999942217,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-triton-0-False-None-0.0-bnsd-True]": 0.0012463260000004084,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-triton-0-False-None-0.0-nsbd-False]": 0.0012518150000460082,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-triton-0-False-None-0.1-bnsd-False]": 0.0012509480000062467,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-triton-0-False-alibi-0.0-bnsd-False]": 0.0017571749999660824,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-triton-0-False-alibi-0.1-nsbd-True]": 0.0012722329999519388,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-triton-0-False-matrix-0.0-bnsd-False]": 0.0012243019999687021,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-triton-0-False-vector-0.0-bnsd-False]": 0.0012444860000186964,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-triton-0-True-None-0.0-bnsd-False]": 0.0013751710000065032,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-triton-512-False-None-0.0-bnsd-False]": 0.001236760000040249,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-triton-512-True-None-0.0-nsbd-True]": 0.001258412000026965,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-False-torch.bfloat16-triton-512-True-matrix-0.1-nsbd-True]": 0.0012541240000132348,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-cutile-0-False-None-0.0-bnsd-False]": 0.0015364979998935269,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-cutile-0-False-None-0.0-bnsd-True]": 0.0012812779999649138,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-cutile-0-False-None-0.0-nsbd-False]": 0.0012819439999702809,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-cutile-0-False-None-0.1-bnsd-False]": 0.001360367000017959,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-cutile-0-False-alibi-0.0-bnsd-False]": 0.0014921490000006088,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-cutile-0-False-alibi-0.1-nsbd-True]": 0.0012386600000127146,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-cutile-0-False-matrix-0.0-bnsd-False]": 0.0014340270000161581,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-cutile-0-False-vector-0.0-bnsd-False]": 0.0014934430000153043,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-cutile-0-True-None-0.0-bnsd-False]": 0.0013532710000276893,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-cutile-512-False-None-0.0-bnsd-False]": 0.001241250999953536,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-cutile-512-True-None-0.0-nsbd-True]": 0.001366639000025316,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-cutile-512-True-matrix-0.1-nsbd-True]": 0.0012516380000420213,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-triton-0-False-None-0.0-bnsd-False]": 0.0012740289999442211,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-triton-0-False-None-0.0-bnsd-True]": 0.0012521840000090378,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-triton-0-False-None-0.0-nsbd-False]": 0.0012303760000236252,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-triton-0-False-None-0.1-bnsd-False]": 0.0012271239999677164,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-triton-0-False-alibi-0.0-bnsd-False]": 0.0013723530000788742,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-triton-0-False-alibi-0.1-nsbd-True]": 0.0012199569999893356,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-triton-0-False-matrix-0.0-bnsd-False]": 0.0012209650000158945,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-triton-0-False-vector-0.0-bnsd-False]": 0.0012484960000165302,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-triton-0-True-None-0.0-bnsd-False]": 0.0013982079998982044,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-triton-512-False-None-0.0-bnsd-False]": 0.0012299429999416134,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-triton-512-True-None-0.0-nsbd-True]": 0.0013736590000235083,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-2064-64-True-torch.bfloat16-triton-512-True-matrix-0.1-nsbd-True]": 0.0012225169999737773,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-cutile-0-False-None-0.0-bnsd-False]": 0.0012586360000454988,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-cutile-0-False-None-0.0-bnsd-True]": 0.0012991390000252068,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-cutile-0-False-None-0.0-nsbd-False]": 0.0013792050000347444,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-cutile-0-False-None-0.1-bnsd-False]": 0.0012668840000173986,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-cutile-0-False-alibi-0.0-bnsd-False]": 0.001393990999986272,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-cutile-0-False-alibi-0.1-nsbd-True]": 0.0012664300000437834,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-cutile-0-False-matrix-0.0-bnsd-False]": 0.0012660219999816036,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-cutile-0-False-vector-0.0-bnsd-False]": 0.0014251210000679748,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-cutile-0-True-None-0.0-bnsd-False]": 0.0013956450000023324,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-cutile-512-False-None-0.0-bnsd-False]": 0.0012709940000945608,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-cutile-512-True-None-0.0-nsbd-True]": 0.0015027760000521084,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-cutile-512-True-matrix-0.1-nsbd-True]": 0.001262781000036739,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-triton-0-False-None-0.0-bnsd-False]": 0.0012306450000210134,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-triton-0-False-None-0.0-bnsd-True]": 0.0012871440000026269,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-triton-0-False-None-0.0-nsbd-False]": 0.0012641759999496571,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-triton-0-False-None-0.1-bnsd-False]": 0.0012739519999627191,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-triton-0-False-alibi-0.0-bnsd-False]": 0.0017898940000691255,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-triton-0-False-alibi-0.1-nsbd-True]": 0.0013128750000532818,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-triton-0-False-matrix-0.0-bnsd-False]": 0.0013290090000168675,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-triton-0-False-vector-0.0-bnsd-False]": 0.0013676689999329028,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-triton-0-True-None-0.0-bnsd-False]": 0.0013666329999750815,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-triton-512-False-None-0.0-bnsd-False]": 0.0012277799999651506,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-triton-512-True-None-0.0-nsbd-True]": 0.001341799999977411,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-False-torch.bfloat16-triton-512-True-matrix-0.1-nsbd-True]": 0.0014284960000168212,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-cutile-0-False-None-0.0-bnsd-False]": 0.001237393999986125,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-cutile-0-False-None-0.0-bnsd-True]": 0.0012776900000517344,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-cutile-0-False-None-0.0-nsbd-False]": 0.0013036330000204543,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-cutile-0-False-None-0.1-bnsd-False]": 0.001425525000001926,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-cutile-0-False-alibi-0.0-bnsd-False]": 0.0013753129999827252,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-cutile-0-False-alibi-0.1-nsbd-True]": 0.0012375410000231568,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-cutile-0-False-matrix-0.0-bnsd-False]": 0.0012897409999936826,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-cutile-0-False-vector-0.0-bnsd-False]": 0.0012515190000499388,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-cutile-0-True-None-0.0-bnsd-False]": 0.001367702000038662,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-cutile-512-False-None-0.0-bnsd-False]": 0.001240813999970669,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-cutile-512-True-None-0.0-nsbd-True]": 0.001354599000080725,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-cutile-512-True-matrix-0.1-nsbd-True]": 0.0012365439999939554,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-triton-0-False-None-0.0-bnsd-False]": 0.0012661119999961556,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-triton-0-False-None-0.0-bnsd-True]": 0.0012183519999666714,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-triton-0-False-None-0.0-nsbd-False]": 0.0012311969999245775,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-triton-0-False-None-0.1-bnsd-False]": 0.001267577000021447,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-triton-0-False-alibi-0.0-bnsd-False]": 0.0013838410000630574,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-triton-0-False-alibi-0.1-nsbd-True]": 0.0012325560000476798,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-triton-0-False-matrix-0.0-bnsd-False]": 0.00128717500001585,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-triton-0-False-vector-0.0-bnsd-False]": 0.0012630490000447026,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-triton-0-True-None-0.0-bnsd-False]": 0.0013978650000581183,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-triton-512-False-None-0.0-bnsd-False]": 0.0012596589999134267,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-triton-512-True-None-0.0-nsbd-True]": 0.0013623169999732454,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-128-True-torch.bfloat16-triton-512-True-matrix-0.1-nsbd-True]": 0.0012467340000057447,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-cutile-0-False-None-0.0-bnsd-False]": 0.0012699670000415608,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-cutile-0-False-None-0.0-bnsd-True]": 0.0012153569999782121,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-cutile-0-False-None-0.0-nsbd-False]": 0.0012555010000596667,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-cutile-0-False-None-0.1-bnsd-False]": 0.0012580749999528962,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-cutile-0-False-alibi-0.0-bnsd-False]": 0.001397225999994589,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-cutile-0-False-alibi-0.1-nsbd-True]": 0.0012156990000562473,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-cutile-0-False-matrix-0.0-bnsd-False]": 0.0012528339999562377,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-cutile-0-False-vector-0.0-bnsd-False]": 0.0012423850000118364,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-cutile-0-True-None-0.0-bnsd-False]": 0.00138876800002663,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-cutile-512-False-None-0.0-bnsd-False]": 0.0012596070000086002,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-cutile-512-True-None-0.0-nsbd-True]": 0.0013719339999624935,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-cutile-512-True-matrix-0.1-nsbd-True]": 0.001242547000003924,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-triton-0-False-None-0.0-bnsd-False]": 0.001223564999975224,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-triton-0-False-None-0.0-bnsd-True]": 0.00130057699993813,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-triton-0-False-None-0.0-nsbd-False]": 0.0012756899999999405,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-triton-0-False-None-0.1-bnsd-False]": 0.001250766999987718,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-triton-0-False-alibi-0.0-bnsd-False]": 0.0017389739999202902,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-triton-0-False-alibi-0.1-nsbd-True]": 0.0012944980001066142,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-triton-0-False-matrix-0.0-bnsd-False]": 0.0012697290000005523,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-triton-0-False-vector-0.0-bnsd-False]": 0.001251121999928273,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-triton-0-True-None-0.0-bnsd-False]": 0.0013696969999728026,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-triton-512-False-None-0.0-bnsd-False]": 0.001250100999982351,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-triton-512-True-None-0.0-nsbd-True]": 0.0013088109999443986,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-False-torch.bfloat16-triton-512-True-matrix-0.1-nsbd-True]": 0.0012780339999380885,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-cutile-0-False-None-0.0-bnsd-False]": 0.0012913040000057663,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-cutile-0-False-None-0.0-bnsd-True]": 0.0012823480000179188,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-cutile-0-False-None-0.0-nsbd-False]": 0.001265930999977627,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-cutile-0-False-None-0.1-bnsd-False]": 0.001286025000013069,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-cutile-0-False-alibi-0.0-bnsd-False]": 0.0014176240000551843,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-cutile-0-False-alibi-0.1-nsbd-True]": 0.001239902999941478,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-cutile-0-False-matrix-0.0-bnsd-False]": 0.001260371000057603,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-cutile-0-False-vector-0.0-bnsd-False]": 0.0012528419999853213,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-cutile-0-True-None-0.0-bnsd-False]": 0.001419231999875592,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-cutile-512-False-None-0.0-bnsd-False]": 0.001385927999933756,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-cutile-512-True-None-0.0-nsbd-True]": 0.0013881940000715076,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-cutile-512-True-matrix-0.1-nsbd-True]": 0.0012587610000309724,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-triton-0-False-None-0.0-bnsd-False]": 0.0012440619999551927,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-triton-0-False-None-0.0-bnsd-True]": 0.001240884000026199,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-triton-0-False-None-0.0-nsbd-False]": 0.0012535079999906884,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-triton-0-False-None-0.1-bnsd-False]": 0.001249461999975665,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-triton-0-False-alibi-0.0-bnsd-False]": 0.001410844999895744,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-triton-0-False-alibi-0.1-nsbd-True]": 0.0012731889999599844,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-triton-0-False-matrix-0.0-bnsd-False]": 0.0012572760000466587,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-triton-0-False-vector-0.0-bnsd-False]": 0.001216193000061594,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-triton-0-True-None-0.0-bnsd-False]": 0.0013902719999805413,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-triton-512-False-None-0.0-bnsd-False]": 0.0013793090000717712,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-triton-512-True-None-0.0-nsbd-True]": 0.001359296999964954,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-257-496-64-True-torch.bfloat16-triton-512-True-matrix-0.1-nsbd-True]": 0.0012667550000173833,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-37-53-64-False-torch.float16-cutile-0-True-matrix-0.0-bnsd-False]": 0.0012744670000301994,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-37-53-64-False-torch.float16-cutile-0-True-matrix-0.0-bnsd-True]": 0.0012462610000056884,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-37-53-64-False-torch.float16-triton-0-True-matrix-0.0-bnsd-False]": 0.0012448779999658655,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-37-53-64-False-torch.float16-triton-0-True-matrix-0.0-bnsd-True]": 0.001464409000050182,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-37-53-64-True-torch.float16-cutile-0-True-matrix-0.0-bnsd-False]": 0.0012489089999689895,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-37-53-64-True-torch.float16-cutile-0-True-matrix-0.0-bnsd-True]": 0.0012661979999961659,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-37-53-64-True-torch.float16-triton-0-True-matrix-0.0-bnsd-False]": 0.001373709000006329,
+"tests/ops/test_attention_variant.py::Test_FMHA_variant::test_op[4-32-1-37-53-64-True-torch.float16-triton-0-True-matrix-0.0-bnsd-True]": 0.0018134200000190503,
+"tests/ops/test_attention_varlen.py::Test_FMHA_varlen::test_op[cutile-4-32-1-128-2064-128-False-torch.bfloat16-False]": 0.001120037999953638,
+"tests/ops/test_attention_varlen.py::Test_FMHA_varlen::test_op[cutile-4-32-1-128-2064-128-False-torch.bfloat16-True]": 0.001184249000004911,
+"tests/ops/test_attention_varlen.py::Test_FMHA_varlen::test_op[cutile-4-32-1-128-2064-128-True-torch.bfloat16-False]": 0.0011140490000229875,
+"tests/ops/test_attention_varlen.py::Test_FMHA_varlen::test_op[cutile-4-32-1-128-2064-128-True-torch.bfloat16-True]": 0.0011225660000491189,
+"tests/ops/test_attention_varlen.py::Test_FMHA_varlen::test_op[cutile-4-32-1-128-496-128-False-torch.bfloat16-False]": 0.0011130999999409141,
+"tests/ops/test_attention_varlen.py::Test_FMHA_varlen::test_op[cutile-4-32-1-128-496-128-False-torch.bfloat16-True]": 0.0012049519999095537,
+"tests/ops/test_attention_varlen.py::Test_FMHA_varlen::test_op[cutile-4-32-1-128-496-128-True-torch.bfloat16-False]": 0.0010869980000052237,
+"tests/ops/test_attention_varlen.py::Test_FMHA_varlen::test_op[cutile-4-32-1-128-496-128-True-torch.bfloat16-True]": 0.0010856460000354673,
+"tests/ops/test_attention_varlen.py::Test_FMHA_varlen::test_op[cutile-4-32-1-257-2064-128-False-torch.bfloat16-False]": 0.0010667540000213194,
+"tests/ops/test_attention_varlen.py::Test_FMHA_varlen::test_op[cutile-4-32-1-257-2064-128-False-torch.bfloat16-True]": 0.0010969540000473899,
+"tests/ops/test_attention_varlen.py::Test_FMHA_varlen::test_op[cutile-4-32-1-257-2064-128-True-torch.bfloat16-False]": 0.00107472700000244,
+"tests/ops/test_attention_varlen.py::Test_FMHA_varlen::test_op[cutile-4-32-1-257-2064-128-True-torch.bfloat16-True]": 0.0010780249999697844,
+"tests/ops/test_attention_varlen.py::Test_FMHA_varlen::test_op[cutile-4-32-1-257-496-128-False-torch.bfloat16-False]": 0.0010853130000327837,
+"tests/ops/test_attention_varlen.py::Test_FMHA_varlen::test_op[cutile-4-32-1-257-496-128-False-torch.bfloat16-True]": 0.0010983169999576603,
+"tests/ops/test_attention_varlen.py::Test_FMHA_varlen::test_op[cutile-4-32-1-257-496-128-True-torch.bfloat16-False]": 0.0011651369999867711,
+"tests/ops/test_attention_varlen.py::Test_FMHA_varlen::test_op[cutile-4-32-1-257-496-128-True-torch.bfloat16-True]": 0.0012210599999207261,
+"tests/ops/test_attention_varlen.py::Test_FMHA_varlen::test_op_noncausal_unaligned_kv_tail[cutile-100-333]": 0.8723259800000278,
+"tests/ops/test_attention_varlen.py::Test_FMHA_varlen::test_op_noncausal_unaligned_kv_tail[cutile-128-200]": 0.9275866240000141,
+"tests/ops/test_attention_varlen.py::Test_FMHA_varlen::test_op_noncausal_unaligned_kv_tail[cutile-64-65]": 0.8690502929999866,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-256-1023-False-False-torch.float16]": 0.1139533749999373,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-256-1023-False-True-torch.float16]": 0.10463656500041907,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-256-1023-True-False-torch.float16]": 0.11637485099981859,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-256-1023-True-True-torch.float16]": 0.11558196899977702,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-256-1024-False-False-torch.float16]": 0.10805411400019693,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-256-1024-False-True-torch.float16]": 0.10970288599969535,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-256-1024-True-False-torch.float16]": 0.10919327999977213,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-256-1024-True-True-torch.float16]": 0.11612537100018017,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-256-511-False-False-torch.float16]": 0.7231468919999315,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-256-511-False-True-torch.float16]": 0.10552751799968974,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-256-511-True-False-torch.float16]": 0.10965694699984851,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-256-511-True-True-torch.float16]": 0.13965346599979966,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-256-512-False-False-torch.float16]": 0.10760163400004785,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-256-512-False-True-torch.float16]": 0.1128745619998881,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-256-512-True-False-torch.float16]": 0.12670229299988023,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-256-512-True-True-torch.float16]": 0.20067323400007808,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-512-1023-False-False-torch.float16]": 0.13895415799993316,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-512-1023-False-True-torch.float16]": 0.11482101099977626,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-512-1023-True-False-torch.float16]": 0.11836873599986575,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-512-1023-True-True-torch.float16]": 0.11304838999990352,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-512-1024-False-False-torch.float16]": 0.12181832600003872,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-512-1024-False-True-torch.float16]": 0.11607130100014729,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-512-1024-True-False-torch.float16]": 0.11556923900002403,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-512-1024-True-True-torch.float16]": 0.12267451499974413,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-512-511-False-False-torch.float16]": 0.10664561700014019,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-512-511-False-True-torch.float16]": 0.10266816400007883,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-512-511-True-False-torch.float16]": 0.11457619800012253,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-512-511-True-True-torch.float16]": 0.12391197000010834,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-512-512-False-False-torch.float16]": 0.11648547100026008,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-512-512-False-True-torch.float16]": 0.1098249910000959,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-512-512-True-False-torch.float16]": 0.10718140700009826,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-1024-512-512-True-True-torch.float16]": 0.10653502599984677,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-256-1023-False-False-torch.float16]": 0.11718831500002125,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-256-1023-False-True-torch.float16]": 0.12221038500001669,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-256-1023-True-False-torch.float16]": 0.12647985700004938,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-256-1023-True-True-torch.float16]": 0.12826864699991347,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-256-1024-False-False-torch.float16]": 0.10586881099993661,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-256-1024-False-True-torch.float16]": 0.10491628599993419,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-256-1024-True-False-torch.float16]": 0.10280948700028603,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-256-1024-True-True-torch.float16]": 0.10263557100006437,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-256-511-False-False-torch.float16]": 0.15915649499993378,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-256-511-False-True-torch.float16]": 0.11110242600011588,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-256-511-True-False-torch.float16]": 0.1163799180001206,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-256-511-True-True-torch.float16]": 0.14168121500006237,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-256-512-False-False-torch.float16]": 0.13836640399972566,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-256-512-False-True-torch.float16]": 0.12236538699994526,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-256-512-True-False-torch.float16]": 0.12942557500014118,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-256-512-True-True-torch.float16]": 0.13604244800012566,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-512-1023-False-False-torch.float16]": 0.10124515900020015,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-512-1023-False-True-torch.float16]": 0.10613489599995773,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-512-1023-True-False-torch.float16]": 0.11351687100000163,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-512-1023-True-True-torch.float16]": 0.11309145299992451,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-512-1024-False-False-torch.float16]": 0.6515422070003751,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-512-1024-False-True-torch.float16]": 0.11500399700003072,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-512-1024-True-False-torch.float16]": 0.10658981499977926,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-512-1024-True-True-torch.float16]": 0.19571244799999477,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-512-511-False-False-torch.float16]": 0.09886283200034995,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-512-511-False-True-torch.float16]": 0.098479523999913,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-512-511-True-False-torch.float16]": 0.10707101200023317,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-512-511-True-True-torch.float16]": 0.10634883400007311,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-512-512-False-False-torch.float16]": 0.10915620599985232,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-512-512-False-True-torch.float16]": 0.10550091900017833,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-512-512-True-False-torch.float16]": 0.10649785900000097,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-False-4-128-512-512-True-True-torch.float16]": 0.10765338400028668,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-256-1023-False-False-torch.float16]": 48.380753389999995,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-256-1023-False-True-torch.float16]": 343.77723575000005,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-256-1023-True-False-torch.float16]": 12.248543021000046,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-256-1023-True-True-torch.float16]": 21.094252187000166,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-256-1024-False-False-torch.float16]": 12.562354250999988,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-256-1024-False-True-torch.float16]": 12.553969171000062,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-256-1024-True-False-torch.float16]": 12.140622491000158,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-256-1024-True-True-torch.float16]": 12.460187354000027,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-256-511-False-False-torch.float16]": 122.04591492799995,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-256-511-False-True-torch.float16]": 155.14409532600007,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-256-511-True-False-torch.float16]": 15.950445792999972,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-256-511-True-True-torch.float16]": 23.029694197000026,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-256-512-False-False-torch.float16]": 16.128188659999978,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-256-512-False-True-torch.float16]": 16.323146561000044,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-256-512-True-False-torch.float16]": 16.046692595999957,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-256-512-True-True-torch.float16]": 16.044812759000024,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-512-1023-False-False-torch.float16]": 48.63862305800012,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-512-1023-False-True-torch.float16]": 347.058031445,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-512-1023-True-False-torch.float16]": 12.28633715699982,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-512-1023-True-True-torch.float16]": 20.967922987999827,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-512-1024-False-False-torch.float16]": 12.452394198000093,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-512-1024-False-True-torch.float16]": 12.490899549999995,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-512-1024-True-False-torch.float16]": 12.15428788700001,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-512-1024-True-True-torch.float16]": 12.462009717000228,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-512-511-False-False-torch.float16]": 119.30131957899994,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-512-511-False-True-torch.float16]": 155.45476871900019,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-512-511-True-False-torch.float16]": 15.795934224999883,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-512-511-True-True-torch.float16]": 22.942972274000113,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-512-512-False-False-torch.float16]": 15.986333862000038,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-512-512-False-True-torch.float16]": 16.064941848000103,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-512-512-True-False-torch.float16]": 15.83775664299992,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-1024-512-512-True-True-torch.float16]": 15.88933746500004,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-256-1023-False-False-torch.float16]": 45.609745704000034,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-256-1023-False-True-torch.float16]": 339.53092454499995,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-256-1023-True-False-torch.float16]": 11.999987539000017,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-256-1023-True-True-torch.float16]": 20.81323369300003,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-256-1024-False-False-torch.float16]": 12.39834125499965,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-256-1024-False-True-torch.float16]": 12.478546122000125,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-256-1024-True-False-torch.float16]": 12.253916161000006,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-256-1024-True-True-torch.float16]": 12.231574370999851,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-256-511-False-False-torch.float16]": 121.043295822,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-256-511-False-True-torch.float16]": 152.71018703699997,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-256-511-True-False-torch.float16]": 15.699319986000035,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-256-511-True-True-torch.float16]": 23.17868398899998,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-256-512-False-False-torch.float16]": 16.07556206400011,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-256-512-False-True-torch.float16]": 16.0303048290001,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-256-512-True-False-torch.float16]": 15.897452065000039,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-256-512-True-True-torch.float16]": 15.834449187000018,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-512-1023-False-False-torch.float16]": 45.891810019000104,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-512-1023-False-True-torch.float16]": 337.4498526420001,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-512-1023-True-False-torch.float16]": 12.126635224000097,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-512-1023-True-True-torch.float16]": 21.058090355000104,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-512-1024-False-False-torch.float16]": 12.549149808000038,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-512-1024-False-True-torch.float16]": 12.462527490999946,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-512-1024-True-False-torch.float16]": 12.137833270000101,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-512-1024-True-True-torch.float16]": 12.33054849600012,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-512-511-False-False-torch.float16]": 118.59211300300001,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-512-511-False-True-torch.float16]": 151.807937132,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-512-511-True-False-torch.float16]": 15.711896574999855,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-512-511-True-True-torch.float16]": 23.15961253899991,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-512-512-False-False-torch.float16]": 15.99518030899992,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-512-512-False-True-torch.float16]": 15.928417449000108,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-512-512-True-False-torch.float16]": 15.853355959000055,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[cutile-True-4-128-512-512-True-True-torch.float16]": 15.966126901999928,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-256-1023-False-False-torch.float16]": 0.1149319529999957,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-256-1023-False-True-torch.float16]": 0.11763163900013751,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-256-1023-True-False-torch.float16]": 0.1260070270000142,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-256-1023-True-True-torch.float16]": 0.16980763499987006,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-256-1024-False-False-torch.float16]": 0.11519704199986336,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-256-1024-False-True-torch.float16]": 0.10811263800019333,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-256-1024-True-False-torch.float16]": 0.10560305999979391,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-256-1024-True-True-torch.float16]": 0.11729136500002824,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-256-511-False-False-torch.float16]": 0.11847279600010552,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-256-511-False-True-torch.float16]": 0.11883958900011748,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-256-511-True-False-torch.float16]": 0.12025408699992113,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-256-511-True-True-torch.float16]": 0.1155721690001883,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-256-512-False-False-torch.float16]": 0.12240101899988076,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-256-512-False-True-torch.float16]": 0.13484559900007298,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-256-512-True-False-torch.float16]": 0.11216257099999893,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-256-512-True-True-torch.float16]": 0.1202786000001197,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-512-1023-False-False-torch.float16]": 0.11259640199978094,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-512-1023-False-True-torch.float16]": 0.11607230300000992,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-512-1023-True-False-torch.float16]": 0.12008345200001713,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-512-1023-True-True-torch.float16]": 0.1116590979997909,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-512-1024-False-False-torch.float16]": 0.12619680200009498,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-512-1024-False-True-torch.float16]": 0.11732974500000637,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-512-1024-True-False-torch.float16]": 0.11123186999998325,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-512-1024-True-True-torch.float16]": 0.11083917499991003,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-512-511-False-False-torch.float16]": 0.10793275099990751,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-512-511-False-True-torch.float16]": 0.10975520299984964,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-512-511-True-False-torch.float16]": 0.1052217629999177,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-512-511-True-True-torch.float16]": 0.1120366790000844,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-512-512-False-False-torch.float16]": 0.10453570200002105,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-512-512-False-True-torch.float16]": 0.11312083799998618,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-512-512-True-False-torch.float16]": 0.1107471859997986,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-1024-512-512-True-True-torch.float16]": 0.11139940799989745,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-256-1023-False-False-torch.float16]": 0.1600245160002487,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-256-1023-False-True-torch.float16]": 0.150963049999973,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-256-1023-True-False-torch.float16]": 0.14341811200006305,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-256-1023-True-True-torch.float16]": 0.15901626599975316,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-256-1024-False-False-torch.float16]": 0.13985379199993986,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-256-1024-False-True-torch.float16]": 0.1446174240002165,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-256-1024-True-False-torch.float16]": 0.15079715499996382,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-256-1024-True-True-torch.float16]": 0.147584182999708,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-256-511-False-False-torch.float16]": 1.1877643570001055,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-256-511-False-True-torch.float16]": 1.6752614910001284,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-256-511-True-False-torch.float16]": 1.7981509319999986,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-256-511-True-True-torch.float16]": 1.8113319210001464,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-256-512-False-False-torch.float16]": 0.14417294300005778,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-256-512-False-True-torch.float16]": 0.12975825299986354,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-256-512-True-False-torch.float16]": 0.12085015299976476,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-256-512-True-True-torch.float16]": 0.14286273199991228,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-512-1023-False-False-torch.float16]": 0.1304744879998907,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-512-1023-False-True-torch.float16]": 0.14007674899994527,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-512-1023-True-False-torch.float16]": 0.13656447700009267,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-512-1023-True-True-torch.float16]": 0.13792868299992733,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-512-1024-False-False-torch.float16]": 0.13412311299998692,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-512-1024-False-True-torch.float16]": 0.17760977800003275,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-512-1024-True-False-torch.float16]": 0.1457876950003083,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-512-1024-True-True-torch.float16]": 0.11940708500014807,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-512-511-False-False-torch.float16]": 0.1540839839999535,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-512-511-False-True-torch.float16]": 0.1587140519998229,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-512-511-True-False-torch.float16]": 0.1396917229999417,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-512-511-True-True-torch.float16]": 0.13816064600018763,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-512-512-False-False-torch.float16]": 0.1404616090003401,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-512-512-False-True-torch.float16]": 0.15100976599978821,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-512-512-True-False-torch.float16]": 0.16164690600021459,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-False-4-128-512-512-True-True-torch.float16]": 0.14492900800019015,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-256-1023-False-False-torch.float16]": 0.11671507100027156,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-256-1023-False-True-torch.float16]": 0.1177685489999476,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-256-1023-True-False-torch.float16]": 0.11336265999989337,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-256-1023-True-True-torch.float16]": 0.11684444499996971,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-256-1024-False-False-torch.float16]": 0.10683982200021092,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-256-1024-False-True-torch.float16]": 0.11050202399974296,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-256-1024-True-False-torch.float16]": 0.10456102899979669,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-256-1024-True-True-torch.float16]": 0.1078148409997084,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-256-511-False-False-torch.float16]": 0.13008370199963792,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-256-511-False-True-torch.float16]": 0.16595329299980222,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-256-511-True-False-torch.float16]": 0.11496211700023196,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-256-511-True-True-torch.float16]": 0.11161970000011934,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-256-512-False-False-torch.float16]": 0.12239672399982737,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-256-512-False-True-torch.float16]": 0.13311194999982945,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-256-512-True-False-torch.float16]": 0.13159451500018804,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-256-512-True-True-torch.float16]": 0.11498182700029247,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-512-1023-False-False-torch.float16]": 0.10353712099981749,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-512-1023-False-True-torch.float16]": 0.10578388200019617,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-512-1023-True-False-torch.float16]": 0.1111521850000372,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-512-1023-True-True-torch.float16]": 0.1082971200000884,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-512-1024-False-False-torch.float16]": 0.11263588899987553,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-512-1024-False-True-torch.float16]": 0.11798906000012721,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-512-1024-True-False-torch.float16]": 0.11966246600013619,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-512-1024-True-True-torch.float16]": 0.10219942900016576,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-512-511-False-False-torch.float16]": 0.10338012100010019,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-512-511-False-True-torch.float16]": 0.10489064400007919,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-512-511-True-False-torch.float16]": 0.12293303000001288,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-512-511-True-True-torch.float16]": 0.1166775179999604,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-512-512-False-False-torch.float16]": 0.10294084199972531,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-512-512-False-True-torch.float16]": 0.10306921999995211,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-512-512-True-False-torch.float16]": 0.10893527999996877,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-1024-512-512-True-True-torch.float16]": 0.10357326500002273,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-256-1023-False-False-torch.float16]": 0.10481620900031885,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-256-1023-False-True-torch.float16]": 0.10973461100024906,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-256-1023-True-False-torch.float16]": 0.10836225000002742,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-256-1023-True-True-torch.float16]": 0.10572966899985659,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-256-1024-False-False-torch.float16]": 0.10482462300001316,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-256-1024-False-True-torch.float16]": 0.10591645900012736,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-256-1024-True-False-torch.float16]": 0.10218110300002081,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-256-1024-True-True-torch.float16]": 0.10493571600022733,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-256-511-False-False-torch.float16]": 0.11541233499997361,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-256-511-False-True-torch.float16]": 0.11831621000010273,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-256-511-True-False-torch.float16]": 0.11414266299971132,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-256-511-True-True-torch.float16]": 0.12200948200006678,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-256-512-False-False-torch.float16]": 0.1006630839999616,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-256-512-False-True-torch.float16]": 0.10761475399976916,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-256-512-True-False-torch.float16]": 0.10093979299972489,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-256-512-True-True-torch.float16]": 0.10037195099994278,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-512-1023-False-False-torch.float16]": 0.10629411700028868,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-512-1023-False-True-torch.float16]": 0.1036648479998803,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-512-1023-True-False-torch.float16]": 0.10921059599991167,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-512-1023-True-True-torch.float16]": 0.10176705399999264,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-512-1024-False-False-torch.float16]": 0.11032842999998138,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-512-1024-False-True-torch.float16]": 0.10545364600011453,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-512-1024-True-False-torch.float16]": 0.10225551799999266,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-512-1024-True-True-torch.float16]": 0.10814397399985864,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-512-511-False-False-torch.float16]": 0.10611780700014606,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-512-511-False-True-torch.float16]": 0.10324757300008969,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-512-511-True-False-torch.float16]": 0.1039338369998859,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-512-511-True-True-torch.float16]": 0.10438759199996639,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-512-512-False-False-torch.float16]": 0.11454892999995536,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-512-512-False-True-torch.float16]": 0.11791327000014462,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-512-512-True-False-torch.float16]": 0.11914580099983141,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op[tilecpp-True-4-128-512-512-True-True-torch.float16]": 0.10541123500024696,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op_static_persistent_cudagraph[False-True-1024-512-1023-cutile]": 0.11312165700002197,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op_static_persistent_cudagraph[False-True-128-256-511-cutile]": 0.1394307379999873,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op_static_persistent_cudagraph[False-True-129-257-65-cutile]": 0.123546967999971,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op_static_persistent_cudagraph[True-False-1024-512-1023-cutile]": 0.10977488899999344,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op_static_persistent_cudagraph[True-False-128-256-511-cutile]": 0.10775448400005416,
+"tests/ops/test_bmm.py::Test_BMM_FWD::test_op_static_persistent_cudagraph[True-False-129-257-65-cutile]": 0.10798029999995151,
+"tests/ops/test_cat.py::Test_CAT::test_op[cutile-[(1, 16, 256, 128), (1, 16, 256, 128)]-torch.bfloat16-2]": 0.1218418019998353,
+"tests/ops/test_cat.py::Test_CAT::test_op[cutile-[(1, 2, 3, 4, 5, 6, 7, 8), (1, 2, 3, 4, 5, 6, 7, 8)]-torch.float32-0]": 0.13452345699988655,
+"tests/ops/test_cat.py::Test_CAT::test_op[cutile-[(1, 512, 16, 128), (1, 512, 16, 128), (1, 256, 16, 128)]-torch.bfloat16-1]": 0.12063029299997652,
+"tests/ops/test_cat.py::Test_CAT::test_op[cutile-[(1, 8, 128, 64), (2, 8, 128, 64)]-torch.float32-0]": 0.12739709599964044,
+"tests/ops/test_cat.py::Test_CAT::test_op[cutile-[(100, 200), (50, 200), (75, 200)]-torch.bfloat16-0]": 0.26794201599977896,
+"tests/ops/test_cat.py::Test_CAT::test_op[cutile-[(128, 256), (128, 512)]-torch.float32-1]": 0.14329528800021762,
+"tests/ops/test_cat.py::Test_CAT::test_op[cutile-[(128, 64), (128, 96)]-torch.bfloat16-1]": 0.268288850999852,
+"tests/ops/test_cat.py::Test_CAT::test_op[cutile-[(128, 64), (64, 64), (32, 64)]-torch.bfloat16-0]": 0.2672448710000026,
+"tests/ops/test_cat.py::Test_CAT::test_op[cutile-[(16, 1), (16, 3), (16, 1), (16, 2)]-torch.float16-1]": 0.451489760999948,
+"tests/ops/test_cat.py::Test_CAT::test_op[cutile-[(2, 128, 8, 64), (2, 256, 8, 64)]-torch.float16-1]": 0.1358108770000399,
+"tests/ops/test_cat.py::Test_CAT::test_op[cutile-[(2, 3, 4, 5, 6, 7, 8, 16), (2, 3, 4, 5, 6, 7, 4, 16)]-torch.bfloat16-6]": 0.13841859100034526,
+"tests/ops/test_cat.py::Test_CAT::test_op[cutile-[(2, 3, 4, 5, 6, 7, 8, 16), (2, 3, 4, 5, 6, 7, 8, 32)]-torch.float16-7]": 0.13931045399999675,
+"tests/ops/test_cat.py::Test_CAT::test_op[cutile-[(2, 8, 128, 64), (2, 8, 64, 64)]-torch.float16-2]": 0.12684607499977574,
+"tests/ops/test_cat.py::Test_CAT::test_op[cutile-[(2, 8, 64, 64), (2, 8, 64, 128)]-torch.float16-3]": 0.14126721100001305,
+"tests/ops/test_cat.py::Test_CAT::test_op[cutile-[(256, 128), (128, 128)]-torch.float32-0]": 0.2573375369997848,
+"tests/ops/test_cat.py::Test_CAT::test_op[cutile-[(256, 128), (256, 256), (256, 64)]-torch.float32-1]": 0.26283798999998,
+"tests/ops/test_cat.py::Test_CAT::test_op[cutile-[(32, 64), (48, 64), (16, 64), (80, 64)]-torch.float16-0]": 0.1579192519998287,
+"tests/ops/test_cat.py::Test_CAT::test_op[cutile-[(32, 64, 128), (16, 64, 128)]-torch.float16-0]": 0.13943391399993743,
+"tests/ops/test_cat.py::Test_CAT::test_op[cutile-[(513,), (256,)]-torch.float16-0]": 0.2969877500001985,
+"tests/ops/test_cat.py::Test_CAT::test_op[cutile-[(64, 128, 32), (64, 128, 96)]-torch.float32-2]": 0.1442028260000825,
+"tests/ops/test_cat.py::Test_CAT::test_op[cutile-[(64, 32), (64, 48), (64, 16)]-torch.float16-1]": 0.2698015780001697,
+"tests/ops/test_cat.py::Test_CAT::test_op[cutile-[(64, 32, 128), (64, 48, 128)]-torch.bfloat16-1]": 0.11608475399998497,
+"tests/ops/test_cat.py::Test_CAT::test_op[cutile-[(64,), (32,), (96,)]-torch.float16-0]": 0.26400063899995985,
+"tests/ops/test_causal_conv1d_lfm2.py::test_op_prefill[2048-128-torch.bfloat16]": 0.002527947999993785,
+"tests/ops/test_causal_conv1d_lfm2.py::test_op_prefill[2048-128-torch.float32]": 0.0036212119999987635,
+"tests/ops/test_causal_conv1d_lfm2.py::test_op_prefill[2048-16-torch.bfloat16]": 0.13298371500000883,
+"tests/ops/test_causal_conv1d_lfm2.py::test_op_prefill[2048-16-torch.float32]": 0.5156774320000039,
+"tests/ops/test_causal_conv1d_lfm2.py::test_op_prefill[256-7-torch.bfloat16]": 0.11289237000001151,
+"tests/ops/test_causal_conv1d_lfm2.py::test_op_prefill[256-7-torch.float32]": 0.13614865700000678,
+"tests/ops/test_causal_conv1d_lfm2.py::test_op_prefill[300-33-torch.bfloat16]": 0.12292666399999064,
+"tests/ops/test_causal_conv1d_lfm2.py::test_op_prefill[300-33-torch.float32]": 0.14570325100000048,
+"tests/ops/test_causal_conv1d_lfm2.py::test_op_prefill_matches_update_stepwise": 0.1743770099999864,
+"tests/ops/test_causal_conv1d_lfm2.py::test_op_update[2048-torch.bfloat16]": 0.1510331289999982,
+"tests/ops/test_causal_conv1d_lfm2.py::test_op_update[2048-torch.float32]": 0.18139789700001074,
+"tests/ops/test_causal_conv1d_lfm2.py::test_op_update[256-torch.bfloat16]": 0.0018695820000118601,
+"tests/ops/test_causal_conv1d_lfm2.py::test_op_update[256-torch.float32]": 0.0019354979999803845,
+"tests/ops/test_causal_conv1d_lfm2.py::test_op_update[300-torch.bfloat16]": 0.17304628400002287,
+"tests/ops/test_causal_conv1d_lfm2.py::test_op_update[300-torch.float32]": 0.13799911899999984,
+"tests/ops/test_causal_conv1d_lfm2.py::test_op_update_2d_legacy_call[torch.bfloat16]": 0.001725804000002995,
+"tests/ops/test_causal_conv1d_lfm2.py::test_op_update_2d_legacy_call[torch.float32]": 0.0040427649999941195,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-K256_V128-bf16]": 32.660206159000026,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-K256_V128-fp32]": 0.004294768999983489,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-K64_V128-bf16]": 4.386786309000001,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-K64_V128-fp32]": 0.0015188699999839628,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-T100_unaligned-bf16]": 6.324620039000024,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-T100_unaligned-fp32]": 0.0015070839999680175,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-T16-bf16]": 6.667760043999991,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-T16-fp32]": 0.0016581049999899733,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-T2048_long_seq-bf16]": 12.285553109000034,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-T2048_long_seq-fp32]": 0.0015660910000008244,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-T32_final_state-bf16]": 23.597827491000004,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-T32_final_state-fp32]": 0.00180647700000236,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-T37_prime-bf16]": 0.20885497399999053,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-T37_prime-fp32]": 0.001406025000022737,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-T512_long_seq-bf16]": 11.934675139999996,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-T512_long_seq-fp32]": 0.0014211460000410625,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-T64-bf16]": 0.13204836600002068,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-T64-fp32]": 0.001513499999987289,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-T65_off_by_1-bf16]": 23.30779014600003,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-T65_off_by_1-fp32]": 0.0013662810000028003,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-chunk32-bf16]": 3.7535910640000054,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-chunk32-fp32]": 0.0013939649999770154,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-decode-bf16]": 8.759982337000011,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-decode-fp32]": 0.0015304150000048367,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-init_final_state-bf16]": 3.4440658470000187,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-init_final_state-fp32]": 0.0013575799999898663,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-l2norm-bf16]": 8.379113263999997,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-l2norm-fp32]": 0.0019865820000006806,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-minimal-bf16]": 9.255415892000002,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-minimal-fp32]": 0.0015410960000110663,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-qwen3_5_T10782-bf16]": 2.682266846999994,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[cutile-qwen3_5_T10782-fp32]": 0.0014018399999997655,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-K256_V128-bf16]": 0.0013258169999943448,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-K256_V128-fp32]": 0.0013734340000155498,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-K64_V128-bf16]": 10.927273182999954,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-K64_V128-fp32]": 0.0013892380000015692,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-T100_unaligned-bf16]": 13.879433175000017,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-T100_unaligned-fp32]": 0.00151724199999137,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-T16-bf16]": 0.10452585199999476,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-T16-fp32]": 0.001285252999991826,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-T2048_long_seq-bf16]": 0.0015551039999763816,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-T2048_long_seq-fp32]": 0.0056137110000236135,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-T32_final_state-bf16]": 0.11654494100002921,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-T32_final_state-fp32]": 0.0013537089999999807,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-T37_prime-bf16]": 0.12496411099998284,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-T37_prime-fp32]": 0.0020657240000048205,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-T512_long_seq-bf16]": 0.006393047999978307,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-T512_long_seq-fp32]": 0.0014065419999838014,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-T64-bf16]": 0.11374092400001246,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-T64-fp32]": 0.0013168879999909677,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-T65_off_by_1-bf16]": 44.98100831699999,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-T65_off_by_1-fp32]": 0.0013443050000176981,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-chunk32-bf16]": 4.175422161,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-chunk32-fp32]": 0.0014385130000107438,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-decode-bf16]": 0.12166018700003178,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-decode-fp32]": 0.0013553759999922477,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-init_final_state-bf16]": 9.272560266,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-init_final_state-fp32]": 0.0013681570000017018,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-l2norm-bf16]": 0.0018607660000071746,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-l2norm-fp32]": 0.0014812749999748576,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-minimal-bf16]": 0.17868703900001037,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-minimal-fp32]": 0.0013850049999746261,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-qwen3_5_T10782-bf16]": 0.0012812029999906827,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op[tilecpp-qwen3_5_T10782-fp32]": 0.0013935530000139806,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op_correlated_keys_stable_triangular_solve[cutile-in_kernel_l2]": 2.747887896000009,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op_correlated_keys_stable_triangular_solve[cutile-prenormalized]": 23.55785032999998,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op_correlated_keys_stable_triangular_solve[tilecpp-in_kernel_l2]": 0.0010655800000165527,
+"tests/ops/test_chunk_gated_delta_rule.py::Test_ChunkGatedDeltaRule::test_op_correlated_keys_stable_triangular_solve[tilecpp-prenormalized]": 10.093401298000003,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[cutile-1024-0.2-False-False-torch.float32-1e-05]": 0.13882002200000443,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[cutile-1024-0.2-False-True-torch.float32-1e-05]": 0.13640750100000787,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[cutile-1024-0.2-True-False-torch.float32-1e-05]": 0.11854121799999007,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[cutile-1024-0.2-True-True-torch.float32-1e-05]": 0.24479245800000626,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[cutile-4096-0.4-False-False-torch.float32-1e-05]": 0.10323259799997686,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[cutile-4096-0.4-False-True-torch.float32-1e-05]": 0.14494958599999563,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[cutile-4096-0.4-True-False-torch.float32-1e-05]": 0.11748101300000258,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[cutile-4096-0.4-True-True-torch.float32-1e-05]": 0.23966476799995462,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[cutile-65536-0.8-False-False-torch.float16-1e-05]": 0.0945251039999846,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[cutile-65536-0.8-False-False-torch.float32-1e-05]": 0.6502623060000019,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[cutile-65536-0.8-False-True-torch.float16-1e-05]": 0.11115259100000685,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[cutile-65536-0.8-False-True-torch.float32-1e-05]": 0.10821113300002594,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[cutile-65536-0.8-True-False-torch.float16-1e-05]": 0.1256936760000258,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[cutile-65536-0.8-True-False-torch.float32-1e-05]": 0.1282808040000134,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[cutile-65536-0.8-True-True-torch.float16-1e-05]": 0.28114820299998655,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[cutile-65536-0.8-True-True-torch.float32-1e-05]": 0.23007754900001487,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[tilecpp-1024-0.2-False-False-torch.float32-1e-05]": 0.1005757590000087,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[tilecpp-1024-0.2-False-True-torch.float32-1e-05]": 0.1116329959999689,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[tilecpp-1024-0.2-True-False-torch.float32-1e-05]": 0.13515968199999406,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[tilecpp-1024-0.2-True-True-torch.float32-1e-05]": 0.6438245490000156,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[tilecpp-4096-0.4-False-False-torch.float32-1e-05]": 0.10444023299996275,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[tilecpp-4096-0.4-False-True-torch.float32-1e-05]": 0.10016759600000569,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[tilecpp-4096-0.4-True-False-torch.float32-1e-05]": 0.13065062600000488,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[tilecpp-4096-0.4-True-True-torch.float32-1e-05]": 0.6871782229999894,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[tilecpp-65536-0.8-False-False-torch.float16-1e-05]": 0.09763442900000996,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[tilecpp-65536-0.8-False-False-torch.float32-1e-05]": 0.24691509600000927,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[tilecpp-65536-0.8-False-True-torch.float16-1e-05]": 0.11264488600002664,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[tilecpp-65536-0.8-False-True-torch.float32-1e-05]": 0.10234758700002544,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[tilecpp-65536-0.8-True-False-torch.float16-1e-05]": 0.12097006200002625,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[tilecpp-65536-0.8-True-False-torch.float32-1e-05]": 0.13081786699999043,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[tilecpp-65536-0.8-True-True-torch.float16-1e-05]": 0.5770519259999674,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[tilecpp-65536-0.8-True-True-torch.float32-1e-05]": 0.6132863990000317,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[triton-1024-0.2-False-False-torch.float32-1e-05]": 0.09423632499998291,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[triton-1024-0.2-False-True-torch.float32-1e-05]": 0.09503744799998515,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[triton-1024-0.2-True-False-torch.float32-1e-05]": 0.12132870100001014,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[triton-1024-0.2-True-True-torch.float32-1e-05]": 8.781184025000002,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[triton-4096-0.4-False-False-torch.float32-1e-05]": 0.10210134600001197,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[triton-4096-0.4-False-True-torch.float32-1e-05]": 0.09881715800000279,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[triton-4096-0.4-True-False-torch.float32-1e-05]": 0.12101783299998203,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[triton-4096-0.4-True-True-torch.float32-1e-05]": 2.0454804449999955,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[triton-65536-0.8-False-False-torch.float16-1e-05]": 0.1029975200000024,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[triton-65536-0.8-False-False-torch.float32-1e-05]": 0.09158984100000112,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[triton-65536-0.8-False-True-torch.float16-1e-05]": 0.1122762150000085,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[triton-65536-0.8-False-True-torch.float32-1e-05]": 0.09339005799999711,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[triton-65536-0.8-True-False-torch.float16-1e-05]": 0.1293644250000341,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[triton-65536-0.8-True-False-torch.float32-1e-05]": 0.12080294500000832,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[triton-65536-0.8-True-True-torch.float16-1e-05]": 7.202671487999979,
+"tests/ops/test_dropout.py::Test_Dropout::test_op[triton-65536-0.8-True-True-torch.float32-1e-05]": 2.0477667610000054,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[False-()-0-0.5-torch.bfloat16-cutile]": 0.13040032299997506,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[False-()-0-0.5-torch.float16-cutile]": 0.12369690099995978,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[False-()-0-0.5-torch.float32-cutile]": 0.1255304499999852,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[False-(0,)-99-0.5-torch.bfloat16-cutile]": 0.09779721400002472,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[False-(0,)-99-0.5-torch.float16-cutile]": 0.10259501999996701,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[False-(0,)-99-0.5-torch.float32-cutile]": 0.13516364700004146,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[False-(1,)-11-0.2-torch.bfloat16-cutile]": 0.11555169700002921,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[False-(1,)-11-0.2-torch.float16-cutile]": 0.12244977500003529,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[False-(1,)-11-0.2-torch.float32-cutile]": 0.1317784599999925,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[False-(1023,)-99-0.5-torch.bfloat16-cutile]": 0.14644891900002222,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[False-(1023,)-99-0.5-torch.float16-cutile]": 0.13352863600005094,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[False-(1023,)-99-0.5-torch.float32-cutile]": 0.1361855730000059,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[False-(1025,)-_7-0.8-torch.bfloat16-cutile]": 0.13438086800002225,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[False-(1025,)-_7-0.8-torch.float16-cutile]": 0.1308466239999575,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[False-(1025,)-_7-0.8-torch.float32-cutile]": 0.13237164999998186,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[False-(17, 63)-9223372036854775807-0.2-torch.bfloat16-cutile]": 0.130904672000014,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[False-(17, 63)-9223372036854775807-0.2-torch.float16-cutile]": 0.12203132700000197,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[False-(17, 63)-9223372036854775807-0.2-torch.float32-cutile]": 0.1253567960000055,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[False-(2, 17, 31)-11-0.5-torch.bfloat16-cutile]": 0.12012928100000408,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[False-(2, 17, 31)-11-0.5-torch.float16-cutile]": 0.11915030899996282,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[False-(2, 17, 31)-11-0.5-torch.float32-cutile]": 0.13290595199998734,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[False-(65537,)-99-0.4-torch.bfloat16-cutile]": 0.31591400899998234,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[False-(65537,)-99-0.4-torch.float16-cutile]": 0.31974026399998934,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[False-(65537,)-99-0.4-torch.float32-cutile]": 0.30014862699999867,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[True-()-0-0.5-torch.bfloat16-cutile]": 0.28260262200001307,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[True-()-0-0.5-torch.float16-cutile]": 0.27438949499995147,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[True-()-0-0.5-torch.float32-cutile]": 0.23840494999996054,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[True-(0,)-99-0.5-torch.bfloat16-cutile]": 0.12898111099997323,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[True-(0,)-99-0.5-torch.float16-cutile]": 0.1258810589999939,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[True-(0,)-99-0.5-torch.float32-cutile]": 0.14171623100000375,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[True-(1,)-11-0.2-torch.bfloat16-cutile]": 0.2826335190000009,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[True-(1,)-11-0.2-torch.float16-cutile]": 0.26274865300001693,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[True-(1,)-11-0.2-torch.float32-cutile]": 0.26995726199999126,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[True-(1023,)-99-0.5-torch.bfloat16-cutile]": 0.27962840499998265,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[True-(1023,)-99-0.5-torch.float16-cutile]": 0.26215605000001574,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[True-(1023,)-99-0.5-torch.float32-cutile]": 0.27169326800000704,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[True-(1025,)-_7-0.8-torch.bfloat16-cutile]": 0.2884164829999918,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[True-(1025,)-_7-0.8-torch.float16-cutile]": 0.2551540100000125,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[True-(1025,)-_7-0.8-torch.float32-cutile]": 0.2552691749999667,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[True-(17, 63)-9223372036854775807-0.2-torch.bfloat16-cutile]": 0.27413179100000207,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[True-(17, 63)-9223372036854775807-0.2-torch.float16-cutile]": 0.2701367250000146,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[True-(17, 63)-9223372036854775807-0.2-torch.float32-cutile]": 0.257769087000014,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[True-(2, 17, 31)-11-0.5-torch.bfloat16-cutile]": 0.2693615109999712,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[True-(2, 17, 31)-11-0.5-torch.float16-cutile]": 0.23969476300001702,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[True-(2, 17, 31)-11-0.5-torch.float32-cutile]": 0.2719064719999835,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[True-(65537,)-99-0.4-torch.bfloat16-cutile]": 0.46199169200002643,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[True-(65537,)-99-0.4-torch.float16-cutile]": 0.41653415900000823,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_backward[True-(65537,)-99-0.4-torch.float32-cutile]": 0.438049196999998,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_boundaries[False-False-0.5-cutile]": 0.12053292699999929,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_boundaries[False-False-1.0-cutile]": 0.11357528199999933,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_boundaries[False-True-0.0-cutile]": 0.09727953500001263,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_boundaries[False-True-1.0-cutile]": 0.24757356599997138,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_boundaries[True-False-0.5-cutile]": 0.13740058199996952,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_boundaries[True-False-1.0-cutile]": 0.13569127299999195,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_boundaries[True-True-0.0-cutile]": 0.12569803400000978,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_boundaries[True-True-1.0-cutile]": 0.11752476700002035,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_higher_order_gradient[cutile]": 0.12313635500001396,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_inplace_forbidden_view[no_grad-cutile]": 0.0012280740000107926,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_inplace_forbidden_view[split-cutile]": 0.0013154209999868272,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_inplace_leaf[False-cutile]": 0.0013330539999856228,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_inplace_leaf[True-cutile]": 0.001247527999993281,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_inplace_no_grad[False-cutile]": 0.0014006620000088787,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_inplace_no_grad[True-cutile]": 0.0014001830000154314,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_inplace_nonleaf_view[cutile]": 0.003182509000026812,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_invalid_probability[1.1-cutile]": 0.0009923710000236952,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_invalid_probability[_0.1-cutile]": 0.0010675229999890234,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_invalid_probability[nan-cutile]": 0.0010049589999994168,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_repeated_backward[cutile]": 0.12207096299999876,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_strided_gradient[expand-cutile]": 0.12603416400003198,
+"tests/ops/test_dropout_backward.py::Test_DropoutBackward::test_op_strided_gradient[transpose-cutile]": 0.11993886499999462,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[cutile-torch.float16-1-119]": 0.2587565710000206,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[cutile-torch.float16-1-256]": 0.6145759420000161,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[cutile-torch.float16-1-8192]": 1.1305245959999866,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[cutile-torch.float16-1-9]": 0.589304052999978,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[cutile-torch.float16-4-119]": 0.12546772199999623,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[cutile-torch.float16-4-256]": 0.42889182600001163,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[cutile-torch.float16-4-8192]": 1.163333735000009,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[cutile-torch.float16-4-9]": 0.44758828399997697,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[cutile-torch.float16-8-119]": 0.12884918700001435,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[cutile-torch.float16-8-256]": 0.5077059879999979,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[cutile-torch.float16-8-8192]": 0.8651561800000138,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[cutile-torch.float16-8-9]": 0.46274849300002074,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[tilecpp-torch.float16-1-119]": 0.9202939719999677,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[tilecpp-torch.float16-1-256]": 0.9359988159999943,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[tilecpp-torch.float16-1-8192]": 1.4684992030000217,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[tilecpp-torch.float16-1-9]": 1.4245838690000028,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[tilecpp-torch.float16-4-119]": 0.9620102060000022,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[tilecpp-torch.float16-4-256]": 0.9337082299999793,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[tilecpp-torch.float16-4-8192]": 1.5349148269999944,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[tilecpp-torch.float16-4-9]": 0.9114115429999856,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[tilecpp-torch.float16-8-119]": 0.9338256660000184,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[tilecpp-torch.float16-8-256]": 0.8905400109999846,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[tilecpp-torch.float16-8-8192]": 1.5425630130000059,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op[tilecpp-torch.float16-8-9]": 0.9046952660000045,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op_small_kv_len_per_split[cutile-1000-16]": 0.757334281999988,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op_small_kv_len_per_split[cutile-1024-8]": 0.7638762449999774,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op_small_kv_len_per_split[cutile-129-64]": 0.5522194730000365,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op_small_kv_len_per_split[cutile-200-16]": 0.5991055089999691,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op_small_kv_len_per_split[cutile-256-64]": 0.5753840649999802,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op_small_kv_len_per_split[cutile-257-1]": 0.9741483919999894,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op_small_kv_len_per_split[cutile-300-32]": 0.6486796810000044,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op_small_kv_len_per_split[tilecpp-1000-16]": 1.4674867869999844,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op_small_kv_len_per_split[tilecpp-1024-8]": 1.6797988999999518,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op_small_kv_len_per_split[tilecpp-129-64]": 1.3929907759999764,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op_small_kv_len_per_split[tilecpp-200-16]": 1.4718753319999962,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op_small_kv_len_per_split[tilecpp-256-64]": 1.4216637500000218,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op_small_kv_len_per_split[tilecpp-257-1]": 1.7260369780000246,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op_small_kv_len_per_split[tilecpp-300-32]": 1.3965937300000348,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op_very_negative_scores[cutile-129]": 0.6042578199999866,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op_very_negative_scores[cutile-1]": 0.3852102370000523,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op_very_negative_scores[cutile-2]": 0.2769826909999722,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op_very_negative_scores[cutile-3]": 0.29079807400000846,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op_very_negative_scores[tilecpp-129]": 0.974053701999992,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op_very_negative_scores[tilecpp-1]": 0.901593795999986,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op_very_negative_scores[tilecpp-2]": 0.9591562680000152,
+"tests/ops/test_flash_decode.py::Test_FlashDecode::test_op_very_negative_scores[tilecpp-3]": 0.9208594030000086,
+"tests/ops/test_gemma_attention.py::TestGemmaAttention::test_op[cutile-1-12-4-512-64-256-30.0-True-torch.bfloat16]": 0.0013941409999915777,
+"tests/ops/test_gemma_attention.py::TestGemmaAttention::test_op[cutile-1-8-8-128-64-0-None-False-torch.float16]": 0.001465691000021252,
+"tests/ops/test_gemma_attention.py::TestGemmaAttention::test_op[cutile-1-8-8-128-64-64-10.0-False-torch.float32]": 0.001275187999993932,
+"tests/ops/test_gemma_attention.py::TestGemmaAttention::test_op[cutile-1-8-8-128-64-64-10.0-True-torch.float16]": 0.0014635750000024927,
+"tests/ops/test_gemma_attention.py::TestGemmaAttention::test_op[tilecpp-1-12-4-512-64-256-30.0-True-torch.bfloat16]": 0.0011891679999962435,
+"tests/ops/test_gemma_attention.py::TestGemmaAttention::test_op[tilecpp-1-8-8-128-64-0-None-False-torch.float16]": 0.0013250389999939216,
+"tests/ops/test_gemma_attention.py::TestGemmaAttention::test_op[tilecpp-1-8-8-128-64-64-10.0-False-torch.float32]": 0.0013368530000263945,
+"tests/ops/test_gemma_attention.py::TestGemmaAttention::test_op[tilecpp-1-8-8-128-64-64-10.0-True-torch.float16]": 0.0012214489999848865,
+"tests/ops/test_gemma_attention_decode.py::TestGemmaAttentionDecode::test_op[cutile-1-8-4-256-64-64-10.0-torch.float16]": 0.0011455920000003061,
+"tests/ops/test_gemma_attention_decode.py::TestGemmaAttentionDecode::test_op[cutile-1-8-8-10019-64-256-50.0-torch.bfloat16]": 0.0012218109999935223,
+"tests/ops/test_gemma_attention_decode.py::TestGemmaAttentionDecode::test_op[cutile-1-8-8-10024-64-0-None-torch.float16]": 0.0011107769999796346,
+"tests/ops/test_gemma_attention_decode.py::TestGemmaAttentionDecode::test_op[cutile-1-8-8-128-64-0-10.0-torch.float16]": 0.001287212999983467,
+"tests/ops/test_gemma_attention_decode.py::TestGemmaAttentionDecode::test_op[cutile-1-8-8-128-64-0-None-torch.float16]": 0.001157762000019602,
+"tests/ops/test_gemma_attention_decode.py::TestGemmaAttentionDecode::test_op[cutile-1-8-8-256-64-64-10.0-torch.float16]": 0.0012562929999830885,
+"tests/ops/test_gemma_attention_decode.py::TestGemmaAttentionDecode::test_op[tilecpp-1-8-4-256-64-64-10.0-torch.float16]": 0.001193766000000096,
+"tests/ops/test_gemma_attention_decode.py::TestGemmaAttentionDecode::test_op[tilecpp-1-8-8-10019-64-256-50.0-torch.bfloat16]": 0.0010341990000029,
+"tests/ops/test_gemma_attention_decode.py::TestGemmaAttentionDecode::test_op[tilecpp-1-8-8-10024-64-0-None-torch.float16]": 0.001055080000014641,
+"tests/ops/test_gemma_attention_decode.py::TestGemmaAttentionDecode::test_op[tilecpp-1-8-8-128-64-0-10.0-torch.float16]": 0.0010463219999792273,
+"tests/ops/test_gemma_attention_decode.py::TestGemmaAttentionDecode::test_op[tilecpp-1-8-8-128-64-0-None-torch.float16]": 0.001058056000005081,
+"tests/ops/test_gemma_attention_decode.py::TestGemmaAttentionDecode::test_op[tilecpp-1-8-8-256-64-64-10.0-torch.float16]": 0.0010369400000058704,
+"tests/ops/test_group_gemm.py::Test_GroupGemm::test_op[cutile-[1024, 512, 256, 128]-[1024, 512, 256, 128]-[1024, 512, 256, 128]-False-torch.float16]": 4.085109657000004,
+"tests/ops/test_group_gemm.py::Test_GroupGemm::test_op[cutile-[1024, 512, 256, 128]-[1024, 512, 256, 128]-[1024, 512, 256, 128]-True-torch.float16]": 3.9869307029999845,
+"tests/ops/test_group_gemm.py::Test_GroupGemm::test_op[cutile-[1024, 512, 256, 128]-[1024, 512, 256, 128]-[128, 128, 128, 128]-False-torch.float16]": 0.2172964130000139,
+"tests/ops/test_group_gemm.py::Test_GroupGemm::test_op[cutile-[1024, 512, 256, 128]-[1024, 512, 256, 128]-[128, 128, 128, 128]-True-torch.float16]": 0.20671344900000577,
+"tests/ops/test_group_gemm.py::Test_GroupGemm::test_op[cutile-[1024, 512, 256, 128]-[128, 128, 128, 128]-[1024, 512, 256, 128]-False-torch.float16]": 0.21839337400001568,
+"tests/ops/test_group_gemm.py::Test_GroupGemm::test_op[cutile-[1024, 512, 256, 128]-[128, 128, 128, 128]-[1024, 512, 256, 128]-True-torch.float16]": 0.23409765799999604,
+"tests/ops/test_group_gemm.py::Test_GroupGemm::test_op[cutile-[1024, 512, 256, 128]-[128, 128, 128, 128]-[128, 128, 128, 128]-False-torch.float16]": 0.2411266529999807,
+"tests/ops/test_group_gemm.py::Test_GroupGemm::test_op[cutile-[1024, 512, 256, 128]-[128, 128, 128, 128]-[128, 128, 128, 128]-True-torch.float16]": 0.23728468800001679,
+"tests/ops/test_group_gemm.py::Test_GroupGemm::test_op[cutile-[256, 256, 256, 256]-[1024, 512, 256, 128]-[1024, 512, 256, 128]-False-torch.float16]": 0.2146032730000229,
+"tests/ops/test_group_gemm.py::Test_GroupGemm::test_op[cutile-[256, 256, 256, 256]-[1024, 512, 256, 128]-[1024, 512, 256, 128]-True-torch.float16]": 0.2170326140000043,
+"tests/ops/test_group_gemm.py::Test_GroupGemm::test_op[cutile-[256, 256, 256, 256]-[1024, 512, 256, 128]-[128, 128, 128, 128]-False-torch.float16]": 0.23860745399994698,
+"tests/ops/test_group_gemm.py::Test_GroupGemm::test_op[cutile-[256, 256, 256, 256]-[1024, 512, 256, 128]-[128, 128, 128, 128]-True-torch.float16]": 0.2189552960000185,
+"tests/ops/test_group_gemm.py::Test_GroupGemm::test_op[cutile-[256, 256, 256, 256]-[128, 128, 128, 128]-[1024, 512, 256, 128]-False-torch.float16]": 0.2267297290000272,
+"tests/ops/test_group_gemm.py::Test_GroupGemm::test_op[cutile-[256, 256, 256, 256]-[128, 128, 128, 128]-[1024, 512, 256, 128]-True-torch.float16]": 0.21733175700001084,
+"tests/ops/test_group_gemm.py::Test_GroupGemm::test_op[cutile-[256, 256, 256, 256]-[128, 128, 128, 128]-[128, 128, 128, 128]-False-torch.float16]": 0.22695868100001348,
+"tests/ops/test_group_gemm.py::Test_GroupGemm::test_op[cutile-[256, 256, 256, 256]-[128, 128, 128, 128]-[128, 128, 128, 128]-True-torch.float16]": 0.25402201300005345,
+"tests/ops/test_layer_norm.py::Test_LayerNorm2D::test_op[cutile-1004-2456-1.0-torch.float16]": 0.5016813459999696,
+"tests/ops/test_layer_norm.py::Test_LayerNorm2D::test_op[cutile-256-256-0.0-torch.float16]": 0.31778371499999025,
+"tests/ops/test_layer_norm.py::Test_LayerNorm2D::test_op[cutile-256-256-1.0-torch.float16]": 0.3079856659999791,
+"tests/ops/test_layer_norm.py::Test_LayerNorm2D::test_op[cutile-512-256-0.0-torch.float32]": 0.33200202699998727,
+"tests/ops/test_layer_norm.py::Test_LayerNorm2D::test_op[cutile-9-9-0.0-torch.float16]": 0.26147091200002137,
+"tests/ops/test_layer_norm.py::Test_LayerNormNCHW::test_op[cutile-2-512-256-0.0-torch.float16]": 3.2622275820000084,
+"tests/ops/test_layer_norm.py::Test_LayerNormNCHW::test_op[cutile-256-256-128-1.0-torch.float16]": 0.9177149239999665,
+"tests/ops/test_layer_norm.py::Test_LayerNormNCHW::test_op[cutile-512-256-128-0.0-torch.float32]": 1.2009441910000191,
+"tests/ops/test_layer_norm_legacy.py::Test_LayerNorm::test_op[cutile-256-256-0.0-torch.float16]": 0.31932579400000805,
+"tests/ops/test_layer_norm_legacy.py::Test_LayerNorm::test_op[cutile-256-256-0.0-torch.float32]": 0.2803024180000193,
+"tests/ops/test_layer_norm_legacy.py::Test_LayerNorm::test_op[cutile-256-256-1.0-torch.float16]": 0.2707200769999929,
+"tests/ops/test_layer_norm_legacy.py::Test_LayerNorm::test_op[cutile-9-9-0.0-torch.float16]": 0.2854291259999968,
+"tests/ops/test_layer_norm_legacy.py::Test_LayerNorm::test_op[tilecpp-256-256-0.0-torch.float16]": 0.6823472009999989,
+"tests/ops/test_layer_norm_legacy.py::Test_LayerNorm::test_op[tilecpp-256-256-0.0-torch.float32]": 0.20441401299996187,
+"tests/ops/test_layer_norm_legacy.py::Test_LayerNorm::test_op[tilecpp-256-256-1.0-torch.float16]": 0.12131077499995513,
+"tests/ops/test_layer_norm_legacy.py::Test_LayerNorm::test_op[tilecpp-9-9-0.0-torch.float16]": 0.5744058729999892,
+"tests/ops/test_layer_norm_legacy.py::Test_LayerNorm::test_op[triton-256-256-0.0-torch.float16]": 11.499543775000035,
+"tests/ops/test_layer_norm_legacy.py::Test_LayerNorm::test_op[triton-256-256-0.0-torch.float32]": 6.043225958999983,
+"tests/ops/test_layer_norm_legacy.py::Test_LayerNorm::test_op[triton-256-256-1.0-torch.float16]": 0.1455972359999862,
+"tests/ops/test_layer_norm_legacy.py::Test_LayerNorm::test_op[triton-9-9-0.0-torch.float16]": 13.002892110000033,
+"tests/ops/test_layer_norm_legacy.py::Test_LayerNorm::test_op_strided_input[cutile-offset-2-64-512-torch.float16]": 0.3143042720000153,
+"tests/ops/test_layer_norm_legacy.py::Test_LayerNorm::test_op_strided_input[cutile-offset-4-128-256-torch.float32]": 0.29136149599997907,
+"tests/ops/test_layer_norm_legacy.py::Test_LayerNorm::test_op_strided_input[cutile-permuted-2-64-512-torch.float16]": 0.2778117619999989,
+"tests/ops/test_layer_norm_legacy.py::Test_LayerNorm::test_op_strided_input[cutile-permuted-4-128-256-torch.float32]": 0.1420149989999686,
+"tests/ops/test_layer_norm_legacy.py::Test_LayerNorm::test_op_strided_input[cutile-row_sliced-2-64-512-torch.float16]": 0.12104895499999202,
+"tests/ops/test_layer_norm_legacy.py::Test_LayerNorm::test_op_strided_input[cutile-row_sliced-4-128-256-torch.float32]": 0.1456893150000269,
+"tests/ops/test_layer_norm_legacy.py::Test_LayerNorm::test_op_strided_input[tilecpp-offset-2-64-512-torch.float16]": 0.6693835930000205,
+"tests/ops/test_layer_norm_legacy.py::Test_LayerNorm::test_op_strided_input[tilecpp-offset-4-128-256-torch.float32]": 0.6204670649999571,
+"tests/ops/test_layer_norm_legacy.py::Test_LayerNorm::test_op_strided_input[tilecpp-permuted-2-64-512-torch.float16]": 0.6059517030000166,
+"tests/ops/test_layer_norm_legacy.py::Test_LayerNorm::test_op_strided_input[tilecpp-permuted-4-128-256-torch.float32]": 0.5927980360000049,
+"tests/ops/test_layer_norm_legacy.py::Test_LayerNorm::test_op_strided_input[tilecpp-row_sliced-2-64-512-torch.float16]": 0.6830421169999852,
+"tests/ops/test_layer_norm_legacy.py::Test_LayerNorm::test_op_strided_input[tilecpp-row_sliced-4-128-256-torch.float32]": 0.6501434350000181,
+"tests/ops/test_layer_norm_legacy.py::Test_LayerNorm::test_op_strided_input[triton-offset-2-64-512-torch.float16]": 0.2812747700000102,
+"tests/ops/test_layer_norm_legacy.py::Test_LayerNorm::test_op_strided_input[triton-offset-4-128-256-torch.float32]": 0.24910026300000254,
+"tests/ops/test_layer_norm_legacy.py::Test_LayerNorm::test_op_strided_input[triton-permuted-2-64-512-torch.float16]": 10.786686268000011,
+"tests/ops/test_layer_norm_legacy.py::Test_LayerNorm::test_op_strided_input[triton-permuted-4-128-256-torch.float32]": 13.863774231999997,
+"tests/ops/test_layer_norm_legacy.py::Test_LayerNorm::test_op_strided_input[triton-row_sliced-2-64-512-torch.float16]": 0.1185940759999653,
+"tests/ops/test_layer_norm_legacy.py::Test_LayerNorm::test_op_strided_input[triton-row_sliced-4-128-256-torch.float32]": 0.14557669900000292,
+"tests/ops/test_layer_norm_legacy.py::Test_PersistentLayerNorm::test_op[cutile-1024-1024-torch.bfloat16]": 4.571937235999997,
+"tests/ops/test_layer_norm_legacy.py::Test_PersistentLayerNorm::test_op[cutile-256-256-torch.bfloat16]": 2.872634522999988,
+"tests/ops/test_layer_norm_legacy.py::Test_PersistentLayerNorm::test_op[cutile-30000-1024-torch.bfloat16]": 4.875241839000012,
+"tests/ops/test_layer_norm_legacy.py::Test_PersistentLayerNorm::test_op[cutile-4096-512-torch.bfloat16]": 4.136316176000008,
+"tests/ops/test_layer_norm_legacy.py::Test_PersistentLayerNorm::test_op[tilecpp-1024-1024-torch.bfloat16]": 0.0010657100000344144,
+"tests/ops/test_layer_norm_legacy.py::Test_PersistentLayerNorm::test_op[tilecpp-256-256-torch.bfloat16]": 3.2656706440000107,
+"tests/ops/test_layer_norm_legacy.py::Test_PersistentLayerNorm::test_op[tilecpp-30000-1024-torch.bfloat16]": 0.0011052750000146716,
+"tests/ops/test_layer_norm_legacy.py::Test_PersistentLayerNorm::test_op[tilecpp-4096-512-torch.bfloat16]": 4.200265275000021,
+"tests/ops/test_layer_norm_legacy.py::Test_PersistentLayerNorm::test_op[triton-1024-1024-torch.bfloat16]": 14.41451854600001,
+"tests/ops/test_layer_norm_legacy.py::Test_PersistentLayerNorm::test_op[triton-256-256-torch.bfloat16]": 8.687276618999988,
+"tests/ops/test_layer_norm_legacy.py::Test_PersistentLayerNorm::test_op[triton-30000-1024-torch.bfloat16]": 2.299574010000015,
+"tests/ops/test_layer_norm_legacy.py::Test_PersistentLayerNorm::test_op[triton-4096-512-torch.bfloat16]": 12.47739032800007,
+"tests/ops/test_linear_gluact_linear.py::Test_LinearGluactLinear::test_op[cutile-1024-1024-1023-silu-torch.float32]": 0.0010362060000090878,
+"tests/ops/test_linear_gluact_linear.py::Test_LinearGluactLinear::test_op[cutile-1024-1024-1024-relu-torch.float32]": 0.0016349059999924975,
+"tests/ops/test_linear_gluact_linear.py::Test_LinearGluactLinear::test_op[cutile-1024-1024-1024-silu-torch.float32]": 0.0009833070000127009,
+"tests/ops/test_linear_gluact_linear.py::Test_LinearGluactLinear::test_op[cutile-1024-1024-512-gelu_tanh-torch.float32]": 0.0010271149999994122,
+"tests/ops/test_linear_gluact_linear.py::Test_LinearGluactLinear::test_op[cutile-512-512-256-silu-torch.float16]": 0.0010020239999732894,
+"tests/ops/test_mamba2.py::Test_Mamba2_ChunkBackward::test_op[cutile-T192-bf16]": 10.398872110999946,
+"tests/ops/test_mamba2.py::Test_Mamba2_ChunkBackward::test_op[cutile-batch2-bf16]": 145.05700979200003,
+"tests/ops/test_mamba2.py::Test_Mamba2_ChunkBackward::test_op[cutile-groups2-bf16]": 161.86889911700018,
+"tests/ops/test_mamba2.py::Test_Mamba2_ChunkBackward::test_op[cutile-large-bf16]": 455.12302423,
+"tests/ops/test_mamba2.py::Test_Mamba2_ChunkBackward::test_op[cutile-minimal-bf16]": 162.32847229599986,
+"tests/ops/test_mamba2.py::Test_Mamba2_ChunkBackward::test_op[cutile-single-chunk-bf16]": 210.1678385099999,
+"tests/ops/test_mamba2.py::Test_Mamba2_ChunkBackward::test_op[cutile-standard-bf16]": 369.87280952900005,
+"tests/ops/test_mamba2.py::Test_Mamba2_ChunkBackward::test_op[cutile-three-chunks-bf16]": 288.14333866100014,
+"tests/ops/test_mamba2.py::Test_Mamba2_ChunkBackward::test_op_grouped_state_gradients[cutile-64]": 445.302843834,
+"tests/ops/test_mamba2.py::Test_Mamba2_ChunkForward::test_op[cutile-T192-bf16]": 1.7057506829999625,
+"tests/ops/test_mamba2.py::Test_Mamba2_ChunkForward::test_op[cutile-batch2-bf16]": 1.9132967620000159,
+"tests/ops/test_mamba2.py::Test_Mamba2_ChunkForward::test_op[cutile-chunk128-ungrouped-bf16]": 221.31976981799994,
+"tests/ops/test_mamba2.py::Test_Mamba2_ChunkForward::test_op[cutile-groups2-bf16]": 32.23990914899997,
+"tests/ops/test_mamba2.py::Test_Mamba2_ChunkForward::test_op[cutile-large-bf16]": 105.90104362700004,
+"tests/ops/test_mamba2.py::Test_Mamba2_ChunkForward::test_op[cutile-minimal-bf16]": 33.61876080000005,
+"tests/ops/test_mamba2.py::Test_Mamba2_ChunkForward::test_op[cutile-single-chunk-bf16]": 32.957789803000026,
+"tests/ops/test_mamba2.py::Test_Mamba2_ChunkForward::test_op[cutile-standard-bf16]": 65.87873940999998,
+"tests/ops/test_mamba2.py::Test_Mamba2_ChunkForward::test_op[cutile-three-chunks-bf16]": 4.563255488999914,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[cutile-use_tma=True-static_persistent=False-1024-1024-1023-0-0-False-False-torch.bfloat16]": 0.0014408530000196151,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[cutile-use_tma=True-static_persistent=False-1024-1024-1024-0-0-False-False-torch.bfloat16]": 0.9909621669999922,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[cutile-use_tma=True-static_persistent=False-1024-1024-1024-0-0-False-True-torch.bfloat16]": 0.9187925549999818,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[cutile-use_tma=True-static_persistent=False-1024-1024-1024-0-0-True-False-torch.bfloat16]": 0.893554034999994,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[cutile-use_tma=True-static_persistent=False-3072-6144-2720-0-0-False-False-torch.bfloat16]": 0.00383177400001955,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[cutile-use_tma=True-static_persistent=False-37-64-2048-0-0-False-True-torch.bfloat16]": 0.9578627410000138,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[cutile-use_tma=True-static_persistent=False-8-8-8-0-0-False-False-torch.bfloat16]": 0.878852409000018,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[cutile-use_tma=True-static_persistent=False-8192-8192-8192-0-0-False-False-torch.bfloat16]": 0.0012902459999963867,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[cutile-use_tma=True-static_persistent=True-1024-1024-1023-0-0-False-False-torch.bfloat16]": 0.001433754999879966,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[cutile-use_tma=True-static_persistent=True-1024-1024-1024-0-0-False-False-torch.bfloat16]": 10.102948752999964,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[cutile-use_tma=True-static_persistent=True-1024-1024-1024-0-0-False-True-torch.bfloat16]": 9.897562249000202,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[cutile-use_tma=True-static_persistent=True-1024-1024-1024-0-0-True-False-torch.bfloat16]": 9.534341611999935,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[cutile-use_tma=True-static_persistent=True-3072-6144-2720-0-0-False-False-torch.bfloat16]": 0.006610753999893859,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[cutile-use_tma=True-static_persistent=True-37-64-2048-0-0-False-True-torch.bfloat16]": 9.897217640999997,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[cutile-use_tma=True-static_persistent=True-8-8-8-0-0-False-False-torch.bfloat16]": 9.914641033999942,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[cutile-use_tma=True-static_persistent=True-8192-8192-8192-0-0-False-False-torch.bfloat16]": 0.0012702569999873958,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=False-static_persistent=False-1024-1024-1023-0-0-False-False-torch.bfloat16]": 0.0015880949999882432,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=False-static_persistent=False-1024-1024-1024-0-0-False-False-torch.bfloat16]": 1.6866875870001081,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=False-static_persistent=False-1024-1024-1024-0-0-False-True-torch.bfloat16]": 1.6394331779999902,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=False-static_persistent=False-1024-1024-1024-0-0-True-False-torch.bfloat16]": 1.5609645329999466,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=False-static_persistent=False-3072-6144-2720-0-0-False-False-torch.bfloat16]": 0.0013926599999649625,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=False-static_persistent=False-37-64-2048-0-0-False-True-torch.bfloat16]": 1.629640580000057,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=False-static_persistent=False-8-8-8-0-0-False-False-torch.bfloat16]": 1.4762048740000182,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=False-static_persistent=False-8192-8192-8192-0-0-False-False-torch.bfloat16]": 0.0016017730000612573,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=False-static_persistent=True-1024-1024-1023-0-0-False-False-torch.bfloat16]": 0.001571322999950553,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=False-static_persistent=True-1024-1024-1024-0-0-False-False-torch.bfloat16]": 0.15188867899996694,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=False-static_persistent=True-1024-1024-1024-0-0-False-True-torch.bfloat16]": 1.2237296619999825,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=False-static_persistent=True-1024-1024-1024-0-0-True-False-torch.bfloat16]": 5.716287132000048,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=False-static_persistent=True-3072-6144-2720-0-0-False-False-torch.bfloat16]": 0.0014228279999315419,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=False-static_persistent=True-37-64-2048-0-0-False-True-torch.bfloat16]": 15.43443507699999,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=False-static_persistent=True-8-8-8-0-0-False-False-torch.bfloat16]": 0.6697792570000161,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=False-static_persistent=True-8192-8192-8192-0-0-False-False-torch.bfloat16]": 0.001346941000008428,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=True-static_persistent=False-1024-1024-1023-0-0-False-False-torch.bfloat16]": 0.0015242660000467367,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=True-static_persistent=False-1024-1024-1024-0-0-False-False-torch.bfloat16]": 1.7053747969999336,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=True-static_persistent=False-1024-1024-1024-0-0-False-True-torch.bfloat16]": 1.58224556600004,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=True-static_persistent=False-1024-1024-1024-0-0-True-False-torch.bfloat16]": 1.5699921319999817,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=True-static_persistent=False-3072-6144-2720-0-0-False-False-torch.bfloat16]": 0.001389506999942114,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=True-static_persistent=False-37-64-2048-0-0-False-True-torch.bfloat16]": 1.6409572080000316,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=True-static_persistent=False-8-8-8-0-0-False-False-torch.bfloat16]": 1.4596174480000172,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=True-static_persistent=False-8192-8192-8192-0-0-False-False-torch.bfloat16]": 0.001320711000062147,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=True-static_persistent=True-1024-1024-1023-0-0-False-False-torch.bfloat16]": 0.0014635219999945548,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=True-static_persistent=True-1024-1024-1024-0-0-False-False-torch.bfloat16]": 15.36152168800001,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=True-static_persistent=True-1024-1024-1024-0-0-False-True-torch.bfloat16]": 15.431795487000016,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=True-static_persistent=True-1024-1024-1024-0-0-True-False-torch.bfloat16]": 15.792711965000024,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=True-static_persistent=True-3072-6144-2720-0-0-False-False-torch.bfloat16]": 0.0014240129999905093,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=True-static_persistent=True-37-64-2048-0-0-False-True-torch.bfloat16]": 15.454806397000027,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=True-static_persistent=True-8-8-8-0-0-False-False-torch.bfloat16]": 13.916031618000005,
+"tests/ops/test_matmul.py::Test_Matmul::test_op[tilecpp-use_tma=True-static_persistent=True-8192-8192-8192-0-0-False-False-torch.bfloat16]": 0.0017567650000103185,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(2112, 7168)-256]": 30.064029250999965,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(2112, 7168)-32]": 12.142844977999971,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(24576, 1536)-256]": 27.017327488999967,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(24576, 1536)-32]": 12.362473109000007,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(24576, 7168)-256]": 30.172507322,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(24576, 7168)-32]": 12.34415777300012,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(3072, 1536)-256]": 26.843703889999915,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(3072, 1536)-32]": 12.142902107000054,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(32768, 512)-256]": 26.588131031999865,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(32768, 512)-32]": 11.119484968000052,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(36864, 7168)-256]": 29.933094019000123,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(36864, 7168)-32]": 12.431077102999893,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(4096, 7168)-256]": 30.05274812800002,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(4096, 7168)-32]": 12.448482463000005,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(576, 7168)-256]": 29.78076746599993,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(576, 7168)-32]": 12.24303317500005,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(7168, 16384)-256]": 37.80025730800003,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(7168, 16384)-32]": 14.770940204999988,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(7168, 18432)-256]": 39.55564591199993,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(7168, 18432)-32]": 15.400773920000006,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(7168, 2048)-256]": 28.3415419239999,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(7168, 2048)-32]": 13.535458309999967,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(7168, 256)-256]": 20.91029841400018,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-128-128-(7168, 256)-32]": 7.86214082999993,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(2112, 7168)-256]": 27.305790371000057,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(2112, 7168)-32]": 10.788574170999993,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(24576, 1536)-256]": 18.78821588900007,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(24576, 1536)-32]": 8.286353581000014,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(24576, 7168)-256]": 27.410539495000023,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(24576, 7168)-32]": 11.038045107000016,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(3072, 1536)-256]": 18.680513633000032,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(3072, 1536)-32]": 8.219848755000044,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(32768, 512)-256]": 20.46173012600002,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(32768, 512)-32]": 9.232726599999978,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(36864, 7168)-256]": 27.756831911000006,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(36864, 7168)-32]": 10.586798369000007,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(4096, 7168)-256]": 26.884198074999972,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(4096, 7168)-32]": 10.703586687999916,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(576, 7168)-256]": 26.91600465900001,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(576, 7168)-32]": 10.520573194000008,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(7168, 16384)-256]": 40.66027626500005,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(7168, 16384)-32]": 14.452812952999977,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(7168, 18432)-256]": 43.64529082700011,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(7168, 18432)-32]": 15.320695975000035,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(7168, 2048)-256]": 19.629332447000024,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(7168, 2048)-32]": 8.509609897999951,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(7168, 256)-256]": 16.25441049799997,
+"tests/ops/test_matmul.py::Test_W8A8BlockFp8Matmul::test_op[cutile-torch.float32-32-32-(7168, 256)-32]": 6.869633978000138,
+"tests/ops/test_mla.py::Test_MLA::test_op[cutile-1-64-64-torch.bfloat16-False]": 0.0016675779999104634,
+"tests/ops/test_mla.py::Test_MLA::test_op[cutile-1-64-64-torch.bfloat16-True]": 0.001233098999819049,
+"tests/ops/test_mla.py::Test_MLA::test_op[cutile-4-64-64-torch.bfloat16-False]": 0.0014830889999757346,
+"tests/ops/test_mla.py::Test_MLA::test_op[cutile-4-64-64-torch.bfloat16-True]": 0.0015556450000531186,
+"tests/ops/test_mla.py::Test_MLA::test_op[tilecpp-1-64-64-torch.bfloat16-False]": 0.0020175690001451585,
+"tests/ops/test_mla.py::Test_MLA::test_op[tilecpp-1-64-64-torch.bfloat16-True]": 0.001469038999971417,
+"tests/ops/test_mla.py::Test_MLA::test_op[tilecpp-4-64-64-torch.bfloat16-False]": 0.0010435500000767206,
+"tests/ops/test_mla.py::Test_MLA::test_op[tilecpp-4-64-64-torch.bfloat16-True]": 0.001313535999997839,
+"tests/ops/test_mla_decoding.py::Test_MLADecoding::test_op[cutile-512-64-torch.float16-128-False]": 0.0010613439999360708,
+"tests/ops/test_mla_decoding.py::Test_MLADecoding::test_op[cutile-512-64-torch.float16-16-True]": 1.162421841999958,
+"tests/ops/test_mla_decoding.py::Test_MLADecoding::test_op[cutile-512-64-torch.float16-32-True]": 0.1383397149999155,
+"tests/ops/test_mla_decoding.py::Test_MLADecoding::test_op[cutile-512-64-torch.float16-64-False]": 0.001206395000053817,
+"tests/ops/test_mla_decoding.py::Test_MLADecoding::test_op[tilecpp-512-64-torch.float16-128-False]": 0.10713049799994678,
+"tests/ops/test_mla_decoding.py::Test_MLADecoding::test_op[tilecpp-512-64-torch.float16-16-True]": 1.236908375999974,
+"tests/ops/test_mla_decoding.py::Test_MLADecoding::test_op[tilecpp-512-64-torch.float16-32-True]": 0.1361959860000752,
+"tests/ops/test_mla_decoding.py::Test_MLADecoding::test_op[tilecpp-512-64-torch.float16-64-False]": 0.10588994899990212,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-128-1024-16]": 4.6144872730001225,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-128-1024-24]": 0.31342980500005524,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-128-1024-32]": 0.311596426000051,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-128-1024-8]": 4.728879624000001,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-128-11049-16]": 3.983739550999985,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-128-11049-24]": 0.4967197749999741,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-128-11049-32]": 0.5013569650000136,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-128-11049-8]": 3.8165879800000084,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-128-129-16]": 3.5763037380000924,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-128-129-24]": 0.3129511529999718,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-128-129-32]": 0.2774564600000531,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-128-129-8]": 3.5339038990000518,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-128-8192-16]": 4.872952151999812,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-128-8192-24]": 0.508154238999964,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-128-8192-32]": 0.4679655649999859,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-128-8192-8]": 4.7693812090000165,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-512-1024-16]": 4.870669582000119,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-512-1024-24]": 0.3201572599999736,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-512-1024-32]": 0.3060806850000972,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-512-1024-8]": 4.823490219999826,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-512-11049-16]": 3.831889761999946,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-512-11049-24]": 3.8278056899998774,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-512-11049-32]": 0.4149468769999203,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-512-11049-8]": 3.932403747999956,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-512-129-16]": 3.739844835000099,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-512-129-24]": 0.28402317999996285,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-512-129-32]": 0.3306730989999096,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-512-129-8]": 3.7285128969999732,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-512-8192-16]": 4.915526917999955,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-512-8192-24]": 0.37333504900004755,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-512-8192-32]": 5.044717882999976,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[cutile-torch.float16-512-8192-8]": 4.89634284400006,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-128-1024-16]": 9.07073769300007,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-128-1024-24]": 9.111866082999995,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-128-1024-32]": 8.989153213999998,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-128-1024-8]": 9.011912739000081,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-128-11049-16]": 11.63861657199999,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-128-11049-24]": 10.910366741000018,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-128-11049-32]": 11.166831148,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-128-11049-8]": 10.856861812000034,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-128-129-16]": 10.761136965000219,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-128-129-24]": 10.86592923499984,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-128-129-32]": 10.713296575000072,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-128-129-8]": 10.721262460000048,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-128-8192-16]": 9.156575246000102,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-128-8192-24]": 9.160351167000044,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-128-8192-32]": 9.184119394000163,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-128-8192-8]": 9.247900981000043,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-512-1024-16]": 8.649203537000005,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-512-1024-24]": 9.143403898999992,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-512-1024-32]": 8.591285241000037,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-512-1024-8]": 9.248955467000002,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-512-11049-16]": 10.823084166000058,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-512-11049-24]": 10.746937933000027,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-512-11049-32]": 11.159475967000049,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-512-11049-8]": 11.086151546999986,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-512-129-16]": 10.764243533000013,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-512-129-24]": 10.792845091000032,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-512-129-32]": 10.752864946999978,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-512-129-8]": 10.987386848,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-512-8192-16]": 8.748274434000052,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-512-8192-24]": 9.275924558999975,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-512-8192-32]": 8.765097817999958,
+"tests/ops/test_mla_decoding_split_kv.py::Test_MLADecodingSplitKV::test_op[tilecpp-torch.float16-512-8192-8]": 9.043729789999986,
+"tests/ops/test_moe.py::Test_MOE::test_op[cutile-torch.bfloat16-16-16-16-8-4]": 2.54435567500002,
+"tests/ops/test_moe.py::Test_MOE::test_op[cutile-torch.bfloat16-16-512-256-8-2]": 2.695156604000033,
+"tests/ops/test_moe.py::Test_MOE::test_op[cutile-torch.bfloat16-16-80-32-8-2]": 2.268160050000006,
+"tests/ops/test_moe.py::Test_MOE::test_op[cutile-torch.bfloat16-32-1024-512-16-4]": 2.940755382999953,
+"tests/ops/test_moe.py::Test_MOE::test_op[cutile-torch.bfloat16-64-1024-512-20-8]": 2.479339772000003,
+"tests/ops/test_moe.py::Test_MOE::test_op[cutile-torch.float8_e4m3fn-16-16-16-8-4]": 0.0012417480000408432,
+"tests/ops/test_moe.py::Test_MOE::test_op[cutile-torch.float8_e4m3fn-16-512-256-8-2]": 0.0010821469999200417,
+"tests/ops/test_moe.py::Test_MOE::test_op[cutile-torch.float8_e4m3fn-16-80-32-8-2]": 0.0011353529999951206,
+"tests/ops/test_moe.py::Test_MOE::test_op[cutile-torch.float8_e4m3fn-32-1024-512-16-4]": 0.0010947390000524138,
+"tests/ops/test_moe.py::Test_MOE::test_op[cutile-torch.float8_e4m3fn-64-1024-512-20-8]": 0.0010625190000155271,
+"tests/ops/test_moe.py::Test_MOE::test_op[tilecpp-torch.bfloat16-16-16-16-8-4]": 3.8916258130000188,
+"tests/ops/test_moe.py::Test_MOE::test_op[tilecpp-torch.bfloat16-16-512-256-8-2]": 3.2947947809999505,
+"tests/ops/test_moe.py::Test_MOE::test_op[tilecpp-torch.bfloat16-16-80-32-8-2]": 3.251058838000006,
+"tests/ops/test_moe.py::Test_MOE::test_op[tilecpp-torch.bfloat16-32-1024-512-16-4]": 4.460037290999992,
+"tests/ops/test_moe.py::Test_MOE::test_op[tilecpp-torch.bfloat16-64-1024-512-20-8]": 4.111220956999944,
+"tests/ops/test_moe.py::Test_MOE::test_op[tilecpp-torch.float8_e4m3fn-16-16-16-8-4]": 2.5092078789999164,
+"tests/ops/test_moe.py::Test_MOE::test_op[tilecpp-torch.float8_e4m3fn-16-512-256-8-2]": 3.1226770789999705,
+"tests/ops/test_moe.py::Test_MOE::test_op[tilecpp-torch.float8_e4m3fn-16-80-32-8-2]": 2.5651588489999995,
+"tests/ops/test_moe.py::Test_MOE::test_op[tilecpp-torch.float8_e4m3fn-32-1024-512-16-4]": 2.6088860360000012,
+"tests/ops/test_moe.py::Test_MOE::test_op[tilecpp-torch.float8_e4m3fn-64-1024-512-20-8]": 2.5985494210000866,
+"tests/ops/test_moe.py::Test_MOE::test_op_k_tail_keeps_tokens_independent[cutile-torch.bfloat16-128-128]": 2.3049420369999893,
+"tests/ops/test_moe.py::Test_MOE::test_op_k_tail_keeps_tokens_independent[cutile-torch.bfloat16-16-16]": 1.2776609449999796,
+"tests/ops/test_moe.py::Test_MOE::test_op_k_tail_keeps_tokens_independent[cutile-torch.bfloat16-80-32]": 1.5609244379999723,
+"tests/ops/test_moe.py::Test_MOE::test_op_k_tail_keeps_tokens_independent[cutile-torch.float16-128-128]": 2.3310659069999815,
+"tests/ops/test_moe.py::Test_MOE::test_op_k_tail_keeps_tokens_independent[cutile-torch.float16-16-16]": 2.2795221100000163,
+"tests/ops/test_moe.py::Test_MOE::test_op_k_tail_keeps_tokens_independent[cutile-torch.float16-80-32]": 2.159423403999938,
+"tests/ops/test_moe.py::Test_MOE::test_op_k_tail_keeps_tokens_independent[tilecpp-torch.bfloat16-128-128]": 2.735615684000095,
+"tests/ops/test_moe.py::Test_MOE::test_op_k_tail_keeps_tokens_independent[tilecpp-torch.bfloat16-16-16]": 1.9684783160000165,
+"tests/ops/test_moe.py::Test_MOE::test_op_k_tail_keeps_tokens_independent[tilecpp-torch.bfloat16-80-32]": 2.22446800299997,
+"tests/ops/test_moe.py::Test_MOE::test_op_k_tail_keeps_tokens_independent[tilecpp-torch.float16-128-128]": 2.7087826149999614,
+"tests/ops/test_moe.py::Test_MOE::test_op_k_tail_keeps_tokens_independent[tilecpp-torch.float16-16-16]": 3.330275963999952,
+"tests/ops/test_moe.py::Test_MOE::test_op_k_tail_keeps_tokens_independent[tilecpp-torch.float16-80-32]": 2.168022047000022,
+"tests/ops/test_moe_actgrad_bwd.py::Test_MoEActgradBwd::test_op[cutile-torch.bfloat16-2048-4096-1024-64-4-swiglu]": 0.2590396029999056,
+"tests/ops/test_moe_actgrad_bwd.py::Test_MoEActgradBwd::test_op[cutile-torch.bfloat16-4096-2048-1408-60-4-swiglu]": 3.17659219199993,
+"tests/ops/test_moe_actgrad_bwd.py::Test_MoEActgradBwd::test_op[cutile-torch.bfloat16-4096-4096-1024-64-1-swiglu]": 0.24920510699996612,
+"tests/ops/test_moe_actgrad_bwd.py::Test_MoEActgradBwd::test_op[cutile-torch.bfloat16-4096-4096-1024-64-2-swiglu]": 0.25164481000001615,
+"tests/ops/test_moe_actgrad_bwd.py::Test_MoEActgradBwd::test_op[cutile-torch.bfloat16-4096-4096-1024-64-4-geglu]": 4.458459880000021,
+"tests/ops/test_moe_actgrad_bwd.py::Test_MoEActgradBwd::test_op[cutile-torch.bfloat16-4096-4096-1024-64-4-gelu]": 3.8709380430000238,
+"tests/ops/test_moe_actgrad_bwd.py::Test_MoEActgradBwd::test_op[cutile-torch.bfloat16-4096-4096-1024-64-4-reglu]": 3.520676576000085,
+"tests/ops/test_moe_actgrad_bwd.py::Test_MoEActgradBwd::test_op[cutile-torch.bfloat16-4096-4096-1024-64-4-relu]": 2.9168724630000042,
+"tests/ops/test_moe_actgrad_bwd.py::Test_MoEActgradBwd::test_op[cutile-torch.bfloat16-4096-4096-1024-64-4-relu_sq]": 2.799458001000005,
+"tests/ops/test_moe_actgrad_bwd.py::Test_MoEActgradBwd::test_op[cutile-torch.bfloat16-4096-4096-1024-64-4-silu]": 3.35625513399998,
+"tests/ops/test_moe_actgrad_bwd.py::Test_MoEActgradBwd::test_op[cutile-torch.bfloat16-4096-4096-1024-64-4-swiglu]": 3.7364888320000205,
+"tests/ops/test_moe_actgrad_bwd.py::Test_MoEActgradBwd::test_op[cutile-torch.bfloat16-512-4096-1024-64-4-swiglu]": 0.27675742899992883,
+"tests/ops/test_moe_actgrad_bwd.py::Test_MoEActgradBwd::test_op[cutile-torch.bfloat16-512-4096-14336-8-2-swiglu]": 3.453344200999936,
+"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[cutile-K64_V128-bf16]": 0.10339924399994516,
+"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[cutile-K64_V128-fp32]": 0.12510818600003404,
+"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[cutile-T16-bf16]": 0.7741769289999638,
+"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[cutile-T16-fp32]": 0.7509744820000606,
+"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[cutile-T32_final_state-bf16]": 0.5387009519999992,
+"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[cutile-T32_final_state-fp32]": 0.5894581150000135,
+"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[cutile-T64-bf16]": 0.9121677970000519,
+"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[cutile-T64-fp32]": 0.8129916739999885,
+"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[cutile-decode-bf16]": 0.35281839399999626,
+"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[cutile-decode-fp32]": 0.3903468760000237,
+"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[cutile-init_final_state-bf16]": 0.8724232629999733,
+"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[cutile-init_final_state-fp32]": 0.8855572470000084,
+"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[cutile-l2norm-bf16]": 5.420586269999944,
+"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[cutile-l2norm-fp32]": 4.943897687000003,
+"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[cutile-minimal-bf16]": 0.3867991889999871,
+"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[cutile-minimal-fp32]": 0.40216546099992456,
+"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[cutile-qwen35_cached_decode-bf16]": 0.44458713800003125,
+"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[cutile-qwen35_cached_decode-fp32]": 0.4675354589999756,
+"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[tilecpp-K64_V128-bf16]": 0.12185661499984235,
+"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[tilecpp-K64_V128-fp32]": 0.150839182000027,
+"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[tilecpp-T16-bf16]": 0.10343434499992554,
+"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[tilecpp-T16-fp32]": 0.1558002450000231,
+"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[tilecpp-T32_final_state-bf16]": 341.5558833760001,
+"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[tilecpp-T32_final_state-fp32]": 337.490522137,
+"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[tilecpp-T64-bf16]": 0.10257879400001002,
+"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[tilecpp-T64-fp32]": 0.10196959699987929,
+"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[tilecpp-decode-bf16]": 10.256856718000051,
+"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[tilecpp-decode-fp32]": 10.632589596000003,
+"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[tilecpp-init_final_state-bf16]": 1.1990707689999454,
+"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[tilecpp-init_final_state-fp32]": 1.1164470270002766,
+"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[tilecpp-l2norm-bf16]": 174.72533530600003,
+"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[tilecpp-l2norm-fp32]": 181.6196291880001,
+"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[tilecpp-minimal-bf16]": 0.09036381800024174,
+"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[tilecpp-minimal-fp32]": 0.11830080700019607,
+"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[tilecpp-qwen35_cached_decode-bf16]": 1.9879901109999878,
+"tests/ops/test_recurrent_gated_delta_rule.py::Test_RecurrentGatedDeltaRule::test_op[tilecpp-qwen35_cached_decode-fp32]": 2.0067664659999878,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-None-256-18432-torch.float16]": 0.0020308349999140773,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-None-256-256-torch.float16]": 0.2791304389998004,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-None-256-256-torch.float32]": 0.2438164609998239,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-None-256-768-torch.float16]": 0.2343641090001256,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-None-31072-4096-torch.bfloat16]": 0.76486510299992,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-None-4096-256-torch.bfloat16]": 0.33071788299980653,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-multi_wave_cached-256-18432-torch.float16]": 0.5262315560000843,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-multi_wave_cached-256-256-torch.float16]": 0.2135910829997556,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-multi_wave_cached-256-256-torch.float32]": 0.2375665540000682,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-multi_wave_cached-256-768-torch.float16]": 0.25150385899974026,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-multi_wave_cached-31072-4096-torch.bfloat16]": 0.32243423600039023,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-multi_wave_cached-4096-256-torch.bfloat16]": 0.24760201200001575,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-multi_wave_reload-256-18432-torch.float16]": 0.29689102799989087,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-multi_wave_reload-256-256-torch.float16]": 0.11941957499993805,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-multi_wave_reload-256-256-torch.float32]": 0.12091845800000556,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-multi_wave_reload-256-768-torch.float16]": 0.08792940200032717,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-multi_wave_reload-31072-4096-torch.bfloat16]": 0.31949363400008224,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-multi_wave_reload-4096-256-torch.bfloat16]": 0.25138501499986887,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-static_persistent-256-18432-torch.float16]": 0.0011749450000024808,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-static_persistent-256-256-torch.float16]": 0.3400497910001832,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-static_persistent-256-256-torch.float32]": 1.0165477410000676,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-static_persistent-256-768-torch.float16]": 0.476220067000213,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-static_persistent-31072-4096-torch.bfloat16]": 0.1514375479996488,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[cutile-static_persistent-4096-256-torch.bfloat16]": 0.11569079199966836,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-None-256-18432-torch.float16]": 0.0013488709999762705,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-None-256-256-torch.float16]": 0.6248705389999998,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-None-256-256-torch.float32]": 0.6580017169999905,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-None-256-768-torch.float16]": 0.6190942400000097,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-None-31072-4096-torch.bfloat16]": 0.8683585029999961,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-None-4096-256-torch.bfloat16]": 0.751061653000022,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-multi_wave_cached-256-18432-torch.float16]": 1.3257192579999924,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-multi_wave_cached-256-256-torch.float16]": 0.6047309680000126,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-multi_wave_cached-256-256-torch.float32]": 0.6638502479999602,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-multi_wave_cached-256-768-torch.float16]": 0.6305372559999682,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-multi_wave_cached-31072-4096-torch.bfloat16]": 0.7514685189999568,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-multi_wave_cached-4096-256-torch.bfloat16]": 0.6045057690000135,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-multi_wave_reload-256-18432-torch.float16]": 0.6730690999999922,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-multi_wave_reload-256-256-torch.float16]": 0.14733091500002615,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-multi_wave_reload-256-256-torch.float32]": 0.18268168999998124,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-multi_wave_reload-256-768-torch.float16]": 0.1364930429999731,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-multi_wave_reload-31072-4096-torch.bfloat16]": 0.7206045869999684,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-multi_wave_reload-4096-256-torch.bfloat16]": 0.6153704070000288,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-static_persistent-256-18432-torch.float16]": 0.0010573680000334207,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-static_persistent-256-256-torch.float16]": 0.00123335699998961,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-static_persistent-256-256-torch.float32]": 0.001036249000009093,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-static_persistent-256-768-torch.float16]": 0.0012474560000157453,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-static_persistent-31072-4096-torch.bfloat16]": 0.0010286950000022443,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[tilecpp-static_persistent-4096-256-torch.bfloat16]": 0.0011471500000084234,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-None-256-18432-torch.float16]": 0.0012691249999079446,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-None-256-256-torch.float16]": 0.6792393600001105,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-None-256-256-torch.float32]": 1.6370599389999825,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-None-256-768-torch.float16]": 0.1226116750001438,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-None-31072-4096-torch.bfloat16]": 3.6366012669998327,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-None-4096-256-torch.bfloat16]": 3.5056280059998244,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-multi_wave_cached-256-18432-torch.float16]": 0.0010244070000169359,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-multi_wave_cached-256-256-torch.float16]": 0.0012144289999866942,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-multi_wave_cached-256-256-torch.float32]": 0.0010449060000041754,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-multi_wave_cached-256-768-torch.float16]": 0.0010686139999904753,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-multi_wave_cached-31072-4096-torch.bfloat16]": 0.0010554619999538772,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-multi_wave_cached-4096-256-torch.bfloat16]": 0.0011534729999880255,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-multi_wave_reload-256-18432-torch.float16]": 0.31375326200000586,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-multi_wave_reload-256-256-torch.float16]": 0.23564163599999688,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-multi_wave_reload-256-256-torch.float32]": 0.15049035100000197,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-multi_wave_reload-256-768-torch.float16]": 0.22899055999999973,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-multi_wave_reload-31072-4096-torch.bfloat16]": 0.31775541999999746,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-multi_wave_reload-4096-256-torch.bfloat16]": 0.22945876500000395,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-static_persistent-256-18432-torch.float16]": 0.0014188950000004752,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-static_persistent-256-256-torch.float16]": 14.850236774000024,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-static_persistent-256-256-torch.float32]": 18.975901298999986,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-static_persistent-256-768-torch.float16]": 19.744302690000012,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-static_persistent-31072-4096-torch.bfloat16]": 31.103527246999988,
+"tests/ops/test_rms_norm.py::Test_RMSNorm::test_op[triton-static_persistent-4096-256-torch.bfloat16]": 14.203486736999992,
+"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.bfloat16-0.01-0.01-1-128-32-32-128-0.5]": 0.0012142489999860118,
+"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.bfloat16-0.01-0.01-1-128-32-32-64-1.0]": 0.0015906270000414224,
+"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.bfloat16-0.01-0.01-1-128-32-8-256-0.25]": 0.001163571000063257,
+"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.bfloat16-0.01-0.01-1-128-32-8-64-1.0]": 0.0012389499999585496,
+"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.bfloat16-0.01-0.01-2-128-32-32-64-1.0]": 0.0021675659999687014,
+"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.bfloat16-0.01-0.01-2-128-32-8-128-0.5]": 0.0011332070000094063,
+"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.bfloat16-0.01-0.01-2-128-32-8-256-0.25]": 0.0012363340000547396,
+"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.bfloat16-0.01-0.01-2-128-32-8-64-1.0]": 0.0011979759999576345,
+"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.bfloat16-0.01-0.01-2-64-8-4-160-0.5]": 0.0017142009999702168,
+"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.bfloat16-0.01-0.01-2-64-8-4-80-1.0]": 0.001980801000001975,
+"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.bfloat16-0.01-0.01-2-64-8-4-96-1.0]": 0.001190200999985791,
+"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.bfloat16-0.01-0.01-3-423-73-155-92-1.0]": 0.0012218450000318626,
+"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.bfloat16-0.01-0.01-3-423-73-213-92-1.0]": 0.0011410980000050586,
+"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.float32-1e_05-1e_05-1-128-32-32-128-0.5]": 0.29693119000000934,
+"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.float32-1e_05-1e_05-1-128-32-32-64-1.0]": 1.1840570629999547,
+"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.float32-1e_05-1e_05-1-128-32-8-256-0.25]": 0.3193045570000663,
+"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.float32-1e_05-1e_05-1-128-32-8-64-1.0]": 1.0189292659999865,
+"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.float32-1e_05-1e_05-2-128-32-32-64-1.0]": 0.9978069530000084,
+"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.float32-1e_05-1e_05-2-128-32-8-128-0.5]": 0.3365273190000835,
+"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.float32-1e_05-1e_05-2-128-32-8-256-0.25]": 0.2965082190000885,
+"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.float32-1e_05-1e_05-2-128-32-8-64-1.0]": 1.0117933259999745,
+"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.float32-1e_05-1e_05-2-64-8-4-160-0.5]": 0.2773201189999668,
+"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.float32-1e_05-1e_05-2-64-8-4-80-1.0]": 0.9788879129999941,
+"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.float32-1e_05-1e_05-2-64-8-4-96-1.0]": 0.9532993550000128,
+"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.float32-1e_05-1e_05-3-423-73-155-92-1.0]": 0.3392845630000352,
+"tests/ops/test_rope.py::Test_RoPE::test_op[cutile-torch.float32-1e_05-1e_05-3-423-73-213-92-1.0]": 8.848256682999988,
+"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.bfloat16-0.01-0.01-1-128-32-32-128-0.5]": 0.0011380720000602196,
+"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.bfloat16-0.01-0.01-1-128-32-32-64-1.0]": 0.0013357759999621521,
+"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.bfloat16-0.01-0.01-1-128-32-8-256-0.25]": 0.0010976649999747679,
+"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.bfloat16-0.01-0.01-1-128-32-8-64-1.0]": 0.0012314420000620885,
+"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.bfloat16-0.01-0.01-2-128-32-32-64-1.0]": 0.001379367000026832,
+"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.bfloat16-0.01-0.01-2-128-32-8-128-0.5]": 0.0010883030000172766,
+"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.bfloat16-0.01-0.01-2-128-32-8-256-0.25]": 0.001115337999976873,
+"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.bfloat16-0.01-0.01-2-128-32-8-64-1.0]": 0.0014248339999767268,
+"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.bfloat16-0.01-0.01-2-64-8-4-160-0.5]": 0.0011333129999684388,
+"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.bfloat16-0.01-0.01-2-64-8-4-80-1.0]": 0.0011365550000164149,
+"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.bfloat16-0.01-0.01-2-64-8-4-96-1.0]": 0.0012954780000313804,
+"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.bfloat16-0.01-0.01-3-423-73-155-92-1.0]": 0.0012044590000073185,
+"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.bfloat16-0.01-0.01-3-423-73-213-92-1.0]": 0.0011333090000107404,
+"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.float32-1e_05-1e_05-1-128-32-32-128-0.5]": 0.6713174080000499,
+"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.float32-1e_05-1e_05-1-128-32-32-64-1.0]": 0.1496920309999723,
+"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.float32-1e_05-1e_05-1-128-32-8-256-0.25]": 0.1534512290000407,
+"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.float32-1e_05-1e_05-1-128-32-8-64-1.0]": 0.6829522840000095,
+"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.float32-1e_05-1e_05-2-128-32-32-64-1.0]": 0.6931996069999968,
+"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.float32-1e_05-1e_05-2-128-32-8-128-0.5]": 0.16407545800001344,
+"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.float32-1e_05-1e_05-2-128-32-8-256-0.25]": 0.6850634070000297,
+"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.float32-1e_05-1e_05-2-128-32-8-64-1.0]": 0.15867012199998953,
+"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.float32-1e_05-1e_05-2-64-8-4-160-0.5]": 0.6803000430000452,
+"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.float32-1e_05-1e_05-2-64-8-4-80-1.0]": 0.7188586539999733,
+"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.float32-1e_05-1e_05-2-64-8-4-96-1.0]": 0.6718737269999906,
+"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.float32-1e_05-1e_05-3-423-73-155-92-1.0]": 1.2672826079999595,
+"tests/ops/test_rope.py::Test_RoPE::test_op[tilecpp-torch.float32-1e_05-1e_05-3-423-73-213-92-1.0]": 1.3632960670000216,
+"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.bfloat16-0.01-0.01-1-128-32-32-128-0.5]": 0.0011413549999588213,
+"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.bfloat16-0.01-0.01-1-128-32-32-64-1.0]": 0.0012293250000539047,
+"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.bfloat16-0.01-0.01-1-128-32-8-256-0.25]": 0.0010900330000254144,
+"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.bfloat16-0.01-0.01-1-128-32-8-64-1.0]": 0.0013117919999672267,
+"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.bfloat16-0.01-0.01-2-128-32-32-64-1.0]": 0.0010988509999378948,
+"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.bfloat16-0.01-0.01-2-128-32-8-128-0.5]": 0.001173147999907087,
+"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.bfloat16-0.01-0.01-2-128-32-8-256-0.25]": 0.0011361480000573465,
+"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.bfloat16-0.01-0.01-2-128-32-8-64-1.0]": 0.0011028089999740587,
+"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.bfloat16-0.01-0.01-2-64-8-4-160-0.5]": 0.0011738370000102805,
+"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.bfloat16-0.01-0.01-2-64-8-4-80-1.0]": 0.0012459330000069713,
+"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.bfloat16-0.01-0.01-2-64-8-4-96-1.0]": 0.0029241499999557163,
+"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.bfloat16-0.01-0.01-3-423-73-155-92-1.0]": 0.001092610999990029,
+"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.bfloat16-0.01-0.01-3-423-73-213-92-1.0]": 0.0010662310000384423,
+"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.float32-1e_05-1e_05-1-128-32-32-128-0.5]": 0.27973768099997187,
+"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.float32-1e_05-1e_05-1-128-32-32-64-1.0]": 0.14708476000009796,
+"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.float32-1e_05-1e_05-1-128-32-8-256-0.25]": 0.15226451600000246,
+"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.float32-1e_05-1e_05-1-128-32-8-64-1.0]": 0.3909556049999878,
+"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.float32-1e_05-1e_05-2-128-32-32-64-1.0]": 0.4599180360000332,
+"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.float32-1e_05-1e_05-2-128-32-8-128-0.5]": 0.153540029999931,
+"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.float32-1e_05-1e_05-2-128-32-8-256-0.25]": 0.2576539700000353,
+"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.float32-1e_05-1e_05-2-128-32-8-64-1.0]": 0.14838640200002828,
+"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.float32-1e_05-1e_05-2-64-8-4-160-0.5]": 0.2321465890000809,
+"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.float32-1e_05-1e_05-2-64-8-4-80-1.0]": 0.13829810199996473,
+"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.float32-1e_05-1e_05-2-64-8-4-96-1.0]": 0.3518462669999849,
+"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.float32-1e_05-1e_05-3-423-73-155-92-1.0]": 0.8176768309999716,
+"tests/ops/test_rope.py::Test_RoPE::test_op[triton-torch.float32-1e_05-1e_05-3-423-73-213-92-1.0]": 0.8673055080000154,
+"tests/ops/test_rope.py::Test_RoPE::test_op_backward[cutile-torch.float16-0.02-0.02-1-128-32-32-64-1.0]": 1.2721928339999522,
+"tests/ops/test_rope.py::Test_RoPE::test_op_backward[cutile-torch.float16-0.02-0.02-1-128-32-8-256-0.25]": 1.5841538139999898,
+"tests/ops/test_rope.py::Test_RoPE::test_op_backward[cutile-torch.float16-0.02-0.02-1-512-16-16-128-1.0]": 1.364733698000009,
+"tests/ops/test_rope.py::Test_RoPE::test_op_backward[cutile-torch.float16-0.02-0.02-2-128-32-8-128-0.5]": 1.0180867379999938,
+"tests/ops/test_rope.py::Test_RoPE::test_op_backward[cutile-torch.float16-0.02-0.02-2-128-32-8-64-1.0]": 0.3123241459999804,
+"tests/ops/test_rope.py::Test_RoPE::test_op_backward[cutile-torch.float32-1e_05-1e_05-1-128-32-32-64-1.0]": 0.3648902220000423,
+"tests/ops/test_rope.py::Test_RoPE::test_op_backward[cutile-torch.float32-1e_05-1e_05-1-128-32-8-256-0.25]": 0.142376712999976,
+"tests/ops/test_rope.py::Test_RoPE::test_op_backward[cutile-torch.float32-1e_05-1e_05-1-512-16-16-128-1.0]": 1.3017496059999303,
+"tests/ops/test_rope.py::Test_RoPE::test_op_backward[cutile-torch.float32-1e_05-1e_05-2-128-32-8-128-0.5]": 0.11518320599998333,
+"tests/ops/test_rope.py::Test_RoPE::test_op_backward[cutile-torch.float32-1e_05-1e_05-2-128-32-8-64-1.0]": 0.14379248299997016,
+"tests/ops/test_rope.py::Test_RoPE::test_op_backward[tilecpp-torch.float16-0.02-0.02-1-128-32-32-64-1.0]": 1.1440669920000062,
+"tests/ops/test_rope.py::Test_RoPE::test_op_backward[tilecpp-torch.float16-0.02-0.02-1-128-32-8-256-0.25]": 1.1807679600000256,
+"tests/ops/test_rope.py::Test_RoPE::test_op_backward[tilecpp-torch.float16-0.02-0.02-1-512-16-16-128-1.0]": 1.1310068720000004,
+"tests/ops/test_rope.py::Test_RoPE::test_op_backward[tilecpp-torch.float16-0.02-0.02-2-128-32-8-128-0.5]": 1.2632043250000038,
+"tests/ops/test_rope.py::Test_RoPE::test_op_backward[tilecpp-torch.float16-0.02-0.02-2-128-32-8-64-1.0]": 1.1870767709999939,
+"tests/ops/test_rope.py::Test_RoPE::test_op_backward[tilecpp-torch.float32-1e_05-1e_05-1-128-32-32-64-1.0]": 1.288192477000024,
+"tests/ops/test_rope.py::Test_RoPE::test_op_backward[tilecpp-torch.float32-1e_05-1e_05-1-128-32-8-256-0.25]": 1.292203341000004,
+"tests/ops/test_rope.py::Test_RoPE::test_op_backward[tilecpp-torch.float32-1e_05-1e_05-1-512-16-16-128-1.0]": 1.2584749469999963,
+"tests/ops/test_rope.py::Test_RoPE::test_op_backward[tilecpp-torch.float32-1e_05-1e_05-2-128-32-8-128-0.5]": 1.3004011779999871,
+"tests/ops/test_rope.py::Test_RoPE::test_op_backward[tilecpp-torch.float32-1e_05-1e_05-2-128-32-8-64-1.0]": 1.2185219709999728,
+"tests/ops/test_rope.py::Test_RoPE::test_op_backward[triton-torch.float16-0.02-0.02-1-128-32-32-64-1.0]": 0.6190525249999723,
+"tests/ops/test_rope.py::Test_RoPE::test_op_backward[triton-torch.float16-0.02-0.02-1-128-32-8-256-0.25]": 0.35890575000001945,
+"tests/ops/test_rope.py::Test_RoPE::test_op_backward[triton-torch.float16-0.02-0.02-1-512-16-16-128-1.0]": 0.6195851159999961,
+"tests/ops/test_rope.py::Test_RoPE::test_op_backward[triton-torch.float16-0.02-0.02-2-128-32-8-128-0.5]": 0.3916016729999967,
+"tests/ops/test_rope.py::Test_RoPE::test_op_backward[triton-torch.float16-0.02-0.02-2-128-32-8-64-1.0]": 0.579525842999999,
+"tests/ops/test_rope.py::Test_RoPE::test_op_backward[triton-torch.float32-1e_05-1e_05-1-128-32-32-64-1.0]": 1.4621872390000021,
+"tests/ops/test_rope.py::Test_RoPE::test_op_backward[triton-torch.float32-1e_05-1e_05-1-128-32-8-256-0.25]": 0.4111556809999968,
+"tests/ops/test_rope.py::Test_RoPE::test_op_backward[triton-torch.float32-1e_05-1e_05-1-512-16-16-128-1.0]": 0.5897985080000012,
+"tests/ops/test_rope.py::Test_RoPE::test_op_backward[triton-torch.float32-1e_05-1e_05-2-128-32-8-128-0.5]": 0.39657061499997326,
+"tests/ops/test_rope.py::Test_RoPE::test_op_backward[triton-torch.float32-1e_05-1e_05-2-128-32-8-64-1.0]": 0.5670658280000396,
+"tests/ops/test_rope.py::Test_RoPE::test_op_deepseek[cutile-1-128-8-1-64]": 0.8866144239999869,
+"tests/ops/test_rope.py::Test_RoPE::test_op_deepseek[cutile-2-16-16-16-64]": 0.8923258829999838,
+"tests/ops/test_rope.py::Test_RoPE::test_op_deepseek[cutile-2-32-4-4-96]": 0.9468797240000413,
+"tests/ops/test_rope.py::Test_RoPE::test_op_deepseek[cutile-2-64-4-2-128]": 0.9280452730000093,
+"tests/ops/test_rope.py::Test_RoPE::test_op_deepseek[tilecpp-1-128-8-1-64]": 0.6182232790000057,
+"tests/ops/test_rope.py::Test_RoPE::test_op_deepseek[tilecpp-2-16-16-16-64]": 0.6237718370000209,
+"tests/ops/test_rope.py::Test_RoPE::test_op_deepseek[tilecpp-2-32-4-4-96]": 0.6538458450000064,
+"tests/ops/test_rope.py::Test_RoPE::test_op_deepseek[tilecpp-2-64-4-2-128]": 0.6993918329999929,
+"tests/ops/test_rope.py::Test_RoPE::test_op_deepseek[triton-1-128-8-1-64]": 0.23871324800001048,
+"tests/ops/test_rope.py::Test_RoPE::test_op_deepseek[triton-2-16-16-16-64]": 0.24146970100002818,
+"tests/ops/test_rope.py::Test_RoPE::test_op_deepseek[triton-2-32-4-4-96]": 0.23729048900000294,
+"tests/ops/test_rope.py::Test_RoPE::test_op_deepseek[triton-2-64-4-2-128]": 0.237586049999976,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[cutile-16-1024-1024-torch.float16]": 0.18003209600001924,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[cutile-16-1024-2048-torch.float32]": 0.22231466499999897,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[cutile-16-1024-512-torch.float32]": 1.944247866000012,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[cutile-16-512-1024-torch.float32]": 0.19453049399999145,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[cutile-16-512-512-torch.float16]": 0.14737642800000117,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[cutile-32-1024-1024-torch.float32]": 0.155404945000015,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[cutile-32-1024-4096-torch.float32]": 2.196242280000007,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[cutile-32-1024-512-torch.float16]": 0.15248124199999324,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[cutile-32-512-1024-torch.float16]": 0.1303351679999878,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[cutile-32-512-2048-torch.float32]": 0.15898551100002578,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[cutile-32-512-512-torch.float32]": 0.1419745169999942,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[cutile-8-1024-1024-torch.float32]": 1.8203405180000232,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[cutile-8-1024-2048-torch.float32]": 0.27088191299998243,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[cutile-8-1024-512-torch.float16]": 0.19066824600002974,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[cutile-8-512-1024-torch.float16]": 1.8381083900000021,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[cutile-8-512-2048-torch.float32]": 2.5252263339999956,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[cutile-8-512-512-torch.float16]": 1.9164340030000062,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[tilecpp-16-1024-1024-torch.float16]": 0.1629040059999909,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[tilecpp-16-1024-2048-torch.float32]": 0.17547152800000276,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[tilecpp-16-1024-512-torch.float32]": 1.0119936329999746,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[tilecpp-16-512-1024-torch.float32]": 0.1281367319999731,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[tilecpp-16-512-512-torch.float16]": 0.20916316899999288,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[tilecpp-32-1024-1024-torch.float32]": 0.28341691400001423,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[tilecpp-32-1024-4096-torch.float32]": 1.398300025000026,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[tilecpp-32-1024-512-torch.float16]": 0.1915471559999844,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[tilecpp-32-512-1024-torch.float16]": 0.14147435600000335,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[tilecpp-32-512-2048-torch.float32]": 0.16137644900001646,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[tilecpp-32-512-512-torch.float32]": 0.12719861599998694,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[tilecpp-8-1024-1024-torch.float32]": 1.11485323200003,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[tilecpp-8-1024-2048-torch.float32]": 0.224549149999973,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[tilecpp-8-1024-512-torch.float16]": 0.21543306899999948,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[tilecpp-8-512-1024-torch.float16]": 1.1000962470000104,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[tilecpp-8-512-2048-torch.float32]": 1.121495340999985,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op[tilecpp-8-512-512-torch.float16]": 1.0704424479999943,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op_irregular_shapes[cutile-13-256-1024-torch.float32]": 0.12900916000003804,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op_irregular_shapes[cutile-13-333-1500-torch.float32]": 0.48288743399999134,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op_irregular_shapes[cutile-7-100-1000-torch.float32]": 0.4156932490000145,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op_irregular_shapes[cutile-7-512-512-torch.float32]": 0.15141626300004418,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op_irregular_shapes[cutile-8-100-512-torch.float32]": 0.1712408630000084,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op_irregular_shapes[cutile-8-256-1000-torch.float32]": 2.0927977350000333,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op_irregular_shapes[cutile-8-256-1500-torch.float32]": 2.5688495100000353,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op_irregular_shapes[cutile-8-256-3000-torch.float32]": 2.2076819579999665,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op_irregular_shapes[cutile-8-333-1024-torch.float32]": 0.36391769899998394,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op_irregular_shapes[tilecpp-13-256-1024-torch.float32]": 0.13221173000002295,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op_irregular_shapes[tilecpp-13-333-1500-torch.float32]": 0.12413566200001469,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op_irregular_shapes[tilecpp-7-100-1000-torch.float32]": 0.17356007300000442,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op_irregular_shapes[tilecpp-7-512-512-torch.float32]": 0.1790295579999679,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op_irregular_shapes[tilecpp-8-100-512-torch.float32]": 0.11798579900002437,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op_irregular_shapes[tilecpp-8-256-1000-torch.float32]": 1.1395338880000168,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op_irregular_shapes[tilecpp-8-256-1500-torch.float32]": 1.0953801680000197,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op_irregular_shapes[tilecpp-8-256-3000-torch.float32]": 1.069143295000032,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op_irregular_shapes[tilecpp-8-333-1024-torch.float32]": 0.20983035599999766,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op_large_magnitude_inputs[cutile-torch.bfloat16]": 0.8916599330000281,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op_large_magnitude_inputs[cutile-torch.float16]": 0.22601402099999746,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op_large_magnitude_inputs[cutile-torch.float32]": 0.10971903000000793,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op_large_magnitude_inputs[tilecpp-torch.bfloat16]": 0.6016404029999762,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op_large_magnitude_inputs[tilecpp-torch.float16]": 0.11872195699999111,
+"tests/ops/test_silu_and_mul.py::Test_SiLUAndMul::test_op_large_magnitude_inputs[tilecpp-torch.float32]": 0.13660013400001958,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[baseline-cutile-256-1009-torch.float16]": 0.8748248400000307,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[baseline-cutile-256-2048-torch.float16]": 0.926708528000006,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[baseline-cutile-256-2048-torch.float32]": 0.8254674519999696,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[baseline-cutile-256-256-torch.float16]": 0.6796724709999751,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[baseline-cutile-256-256-torch.float32]": 0.7630102239999985,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[baseline-cutile-256-32768-torch.float32]": 0.5858439060000364,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[baseline-cutile-256-9-torch.float32]": 0.7800165269999866,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[baseline-tilecpp-256-1009-torch.float16]": 0.37760865699999613,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[baseline-tilecpp-256-2048-torch.float16]": 0.33848038699997574,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[baseline-tilecpp-256-2048-torch.float32]": 0.4064913950000175,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[baseline-tilecpp-256-256-torch.float16]": 0.3220520689999944,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[baseline-tilecpp-256-256-torch.float32]": 0.4086455869999952,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[baseline-tilecpp-256-32768-torch.float32]": 0.27125215699999217,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[baseline-tilecpp-256-9-torch.float32]": 0.359321432999991,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[use_chunked-cutile-256-1009-torch.float16]": 0.43035534900002403,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[use_chunked-cutile-256-2048-torch.float16]": 0.4765282289999959,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[use_chunked-cutile-256-2048-torch.float32]": 0.45921604900001967,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[use_chunked-cutile-256-256-torch.float16]": 0.3814033510000172,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[use_chunked-cutile-256-256-torch.float32]": 0.39925127199998656,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[use_chunked-cutile-256-32768-torch.float32]": 0.7322395889999882,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[use_chunked-cutile-256-9-torch.float32]": 0.39904441100003396,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[use_chunked-tilecpp-256-1009-torch.float16]": 2.545751709000001,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[use_chunked-tilecpp-256-2048-torch.float16]": 2.5081440709999754,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[use_chunked-tilecpp-256-2048-torch.float32]": 0.27129024499998877,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[use_chunked-tilecpp-256-256-torch.float16]": 2.268482904999985,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[use_chunked-tilecpp-256-256-torch.float32]": 0.27545396799996524,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[use_chunked-tilecpp-256-32768-torch.float32]": 2.371789079000024,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[use_chunked-tilecpp-256-9-torch.float32]": 2.22971722799997,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[use_multi_wave-cutile-256-1009-torch.float16]": 0.9200854540000023,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[use_multi_wave-cutile-256-2048-torch.float16]": 0.7343705160000127,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[use_multi_wave-cutile-256-2048-torch.float32]": 0.765833409000038,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[use_multi_wave-cutile-256-256-torch.float16]": 0.641542080999983,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[use_multi_wave-cutile-256-256-torch.float32]": 0.7825034380000488,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[use_multi_wave-cutile-256-32768-torch.float32]": 1.1303297310000175,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[use_multi_wave-cutile-256-9-torch.float32]": 0.7071298060000117,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[use_multi_wave-tilecpp-256-1009-torch.float16]": 0.21917046999999457,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[use_multi_wave-tilecpp-256-2048-torch.float16]": 0.25153003299999455,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[use_multi_wave-tilecpp-256-2048-torch.float32]": 2.575053251999975,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[use_multi_wave-tilecpp-256-256-torch.float16]": 0.23332025800002043,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[use_multi_wave-tilecpp-256-256-torch.float32]": 2.338238629999978,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[use_multi_wave-tilecpp-256-32768-torch.float32]": 0.33557021400002895,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[use_multi_wave-tilecpp-256-9-torch.float32]": 0.20490654899998617,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[use_tma-cutile-256-1009-torch.float16]": 2.077675854999967,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[use_tma-cutile-256-2048-torch.float16]": 1.8951696069999855,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[use_tma-cutile-256-2048-torch.float32]": 2.1103992170000083,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[use_tma-cutile-256-256-torch.float16]": 1.9130256650000206,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[use_tma-cutile-256-256-torch.float32]": 2.2388995059999957,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[use_tma-cutile-256-32768-torch.float32]": 0.24132206000001588,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[use_tma-cutile-256-9-torch.float32]": 1.9699207869999782,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[use_tma-tilecpp-256-1009-torch.float16]": 2.6263724579999916,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[use_tma-tilecpp-256-2048-torch.float16]": 2.5429076480000106,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[use_tma-tilecpp-256-2048-torch.float32]": 2.666442275999998,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[use_tma-tilecpp-256-256-torch.float16]": 2.352830281999985,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[use_tma-tilecpp-256-256-torch.float32]": 2.6122069920000115,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[use_tma-tilecpp-256-32768-torch.float32]": 0.2428774560000022,
+"tests/ops/test_softmax.py::Test_Softmax::test_op[use_tma-tilecpp-256-9-torch.float32]": 2.450044813000005,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[cutile-torch.bfloat16-1000-use_tma=False-contiguous]": 1.3828873250000413,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[cutile-torch.bfloat16-1000-use_tma=False-transposed]": 0.1323330640000222,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[cutile-torch.bfloat16-1000-use_tma=True-contiguous]": 1.7431099029999757,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[cutile-torch.bfloat16-1000-use_tma=True-transposed]": 0.13329562499998815,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[cutile-torch.bfloat16-1024-use_tma=False-contiguous]": 0.9121942790000048,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[cutile-torch.bfloat16-1024-use_tma=False-transposed]": 0.13752953200000206,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[cutile-torch.bfloat16-1024-use_tma=True-contiguous]": 1.613068788999982,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[cutile-torch.bfloat16-1024-use_tma=True-transposed]": 0.1407183319999774,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[cutile-torch.bfloat16-3000-use_tma=False-contiguous]": 1.4471748009999885,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[cutile-torch.bfloat16-3000-use_tma=False-transposed]": 0.14364787399998136,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[cutile-torch.bfloat16-3000-use_tma=True-contiguous]": 2.357509209999961,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[cutile-torch.bfloat16-3000-use_tma=True-transposed]": 0.14195188400000802,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[cutile-torch.float32-1000-use_tma=False-contiguous]": 1.056255980999964,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[cutile-torch.float32-1000-use_tma=False-transposed]": 0.14728299499998343,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[cutile-torch.float32-1000-use_tma=True-contiguous]": 2.0375608699999646,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[cutile-torch.float32-1000-use_tma=True-transposed]": 0.13875156500000685,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[cutile-torch.float32-1024-use_tma=False-contiguous]": 0.9406542940000122,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[cutile-torch.float32-1024-use_tma=False-transposed]": 0.2080778950000024,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[cutile-torch.float32-1024-use_tma=True-contiguous]": 1.6253302419999898,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[cutile-torch.float32-1024-use_tma=True-transposed]": 0.13597948500003554,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[cutile-torch.float32-3000-use_tma=False-contiguous]": 1.4791859209999814,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[cutile-torch.float32-3000-use_tma=False-transposed]": 0.13040720199998646,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[cutile-torch.float32-3000-use_tma=True-contiguous]": 2.514661273999991,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[cutile-torch.float32-3000-use_tma=True-transposed]": 0.1759369240000126,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[tilecpp-torch.bfloat16-1000-use_tma=False-contiguous]": 2.31042224899997,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[tilecpp-torch.bfloat16-1000-use_tma=False-transposed]": 0.003874590000009448,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[tilecpp-torch.bfloat16-1000-use_tma=True-contiguous]": 2.457593741999972,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[tilecpp-torch.bfloat16-1000-use_tma=True-transposed]": 0.0019758290000311263,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[tilecpp-torch.bfloat16-1024-use_tma=False-contiguous]": 1.7660117309999919,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[tilecpp-torch.bfloat16-1024-use_tma=False-transposed]": 0.0019146660000046722,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[tilecpp-torch.bfloat16-1024-use_tma=True-contiguous]": 2.5646006089999958,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[tilecpp-torch.bfloat16-1024-use_tma=True-transposed]": 0.001156408999975156,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[tilecpp-torch.bfloat16-3000-use_tma=False-contiguous]": 2.382117237000017,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[tilecpp-torch.bfloat16-3000-use_tma=False-transposed]": 0.003093634000009615,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[tilecpp-torch.bfloat16-3000-use_tma=True-contiguous]": 2.801832475000026,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[tilecpp-torch.bfloat16-3000-use_tma=True-transposed]": 0.0011660379999796078,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[tilecpp-torch.float32-1000-use_tma=False-contiguous]": 2.32332853799997,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[tilecpp-torch.float32-1000-use_tma=False-transposed]": 0.001840458999964767,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[tilecpp-torch.float32-1000-use_tma=True-contiguous]": 2.6368877339999415,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[tilecpp-torch.float32-1000-use_tma=True-transposed]": 0.0011867520000237164,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[tilecpp-torch.float32-1024-use_tma=False-contiguous]": 1.8566023410000412,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[tilecpp-torch.float32-1024-use_tma=False-transposed]": 0.0013053840000054606,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[tilecpp-torch.float32-1024-use_tma=True-contiguous]": 2.65289591399997,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[tilecpp-torch.float32-1024-use_tma=True-transposed]": 0.0012266630000397072,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[tilecpp-torch.float32-3000-use_tma=False-contiguous]": 2.2977924999999857,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[tilecpp-torch.float32-3000-use_tma=False-transposed]": 0.0035736259999907816,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[tilecpp-torch.float32-3000-use_tma=True-contiguous]": 2.799202719999954,
+"tests/ops/test_softmax.py::Test_Softmax::test_op_backward_fully_written[tilecpp-torch.float32-3000-use_tma=True-transposed]": 0.0011159359999908247,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.bfloat16-1-512-16-1]": 0.26519318099997236,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.bfloat16-1-512-16-2]": 0.29784162999999353,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.bfloat16-1-512-32-1]": 0.2596402950000254,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.bfloat16-1-512-32-2]": 0.3238284250000447,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.bfloat16-16-512-16-1]": 0.2983350259999895,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.bfloat16-16-512-16-2]": 0.30399342100000126,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.bfloat16-16-512-32-1]": 0.3197202279999942,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.bfloat16-16-512-32-2]": 0.30490030400002865,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.bfloat16-2-512-16-1]": 0.30297360500000536,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.bfloat16-2-512-16-2]": 0.2792771889999983,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.bfloat16-2-512-32-1]": 0.27638181099999315,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.bfloat16-2-512-32-2]": 0.28512548400001947,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.bfloat16-8-512-16-1]": 0.306749630999974,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.bfloat16-8-512-16-2]": 0.30574469400002613,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.bfloat16-8-512-32-1]": 0.2791043159999731,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.bfloat16-8-512-32-2]": 0.3093706130000271,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.float16-1-512-16-1]": 0.30857458899998846,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.float16-1-512-16-2]": 0.2681316390000177,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.float16-1-512-32-1]": 0.26926721399999565,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.float16-1-512-32-2]": 0.2655800820000138,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.float16-16-512-16-1]": 0.3179277339999942,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.float16-16-512-16-2]": 0.3380534010000247,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.float16-16-512-32-1]": 0.33533662300001765,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.float16-16-512-32-2]": 0.34793752799998856,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.float16-2-512-16-1]": 0.2742734179999786,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.float16-2-512-16-2]": 0.28079386999999656,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.float16-2-512-32-1]": 0.2962546010000153,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.float16-2-512-32-2]": 0.26696370900000943,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.float16-8-512-16-1]": 0.28468774399999575,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.float16-8-512-16-2]": 0.29294219499996643,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.float16-8-512-32-1]": 0.31211573699999917,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[cutile-torch.float16-8-512-32-2]": 0.3036102619999781,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.bfloat16-1-512-16-1]": 0.6637763009999844,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.bfloat16-1-512-16-2]": 0.6379416209999818,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.bfloat16-1-512-32-1]": 0.6214221980000048,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.bfloat16-1-512-32-2]": 0.6468027339999765,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.bfloat16-16-512-16-1]": 0.7092192760000273,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.bfloat16-16-512-16-2]": 0.6657641720000242,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.bfloat16-16-512-32-1]": 0.6656762210000409,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.bfloat16-16-512-32-2]": 0.6649764729999958,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.bfloat16-2-512-16-1]": 0.688500160000018,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.bfloat16-2-512-16-2]": 0.6650409050000121,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.bfloat16-2-512-32-1]": 0.6596146440000155,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.bfloat16-2-512-32-2]": 0.6325071420000086,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.bfloat16-8-512-16-1]": 0.6338998700000218,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.bfloat16-8-512-16-2]": 0.6779652990000216,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.bfloat16-8-512-32-1]": 0.6602675719999525,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.bfloat16-8-512-32-2]": 0.683995737999993,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.float16-1-512-16-1]": 0.12771653400000105,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.float16-1-512-16-2]": 0.6227539870000101,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.float16-1-512-32-1]": 0.12384796700001743,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.float16-1-512-32-2]": 0.6236730589999979,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.float16-16-512-16-1]": 0.7039947540000071,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.float16-16-512-16-2]": 0.654783923999986,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.float16-16-512-32-1]": 0.664921024999984,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.float16-16-512-32-2]": 0.7073123120000275,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.float16-2-512-16-1]": 0.678700316000004,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.float16-2-512-16-2]": 0.6427151330000243,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.float16-2-512-32-1]": 0.6406105289999857,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.float16-2-512-32-2]": 0.7272246940000286,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.float16-8-512-16-1]": 0.6840239080000003,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.float16-8-512-16-2]": 0.7520408609999834,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.float16-8-512-32-1]": 0.697743029999998,
+"tests/ops/test_splitk_reduce.py::Test_SplitkReduce::test_op[tilecpp-torch.float16-8-512-32-2]": 0.7703672720000441,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward[cutile-2-1024-512-torch.float32]": 0.3630021289999945,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward[cutile-4-512-1024-torch.float32]": 0.2893105509999714,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward[cutile-8-256-2048-torch.float32]": 0.3504156509999916,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward[cutile-8-512-1024-torch.float16]": 0.36780852100002903,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward[cutile-8-512-512-torch.float16]": 0.39833281099998885,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward[tilecpp-2-1024-512-torch.float32]": 0.6303807819999747,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward[tilecpp-4-512-1024-torch.float32]": 0.6600186580000127,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward[tilecpp-8-256-2048-torch.float32]": 0.680641259999959,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward[tilecpp-8-512-1024-torch.float16]": 1.1164783880000186,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward[tilecpp-8-512-512-torch.float16]": 1.0929367189999653,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward_irregular[cutile-13-128-1024]": 0.1052422319999664,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward_irregular[cutile-13-333-1500]": 0.4214906000000269,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward_irregular[cutile-4-128-3000]": 0.392590341000016,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward_irregular[cutile-4-256-1000]": 0.34700469400007705,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward_irregular[cutile-4-256-1500]": 0.4153691679999838,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward_irregular[cutile-7-100-1000]": 0.3711953199999698,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward_irregular[cutile-7-256-512]": 0.1360981480000305,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward_irregular[cutile-8-100-512]": 0.11327373199998192,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward_irregular[cutile-8-333-256]": 0.33743592600001193,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward_irregular[tilecpp-13-128-1024]": 0.13676738099991326,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward_irregular[tilecpp-13-333-1500]": 0.13501159600002666,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward_irregular[tilecpp-4-128-3000]": 0.7116662059999612,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward_irregular[tilecpp-4-256-1000]": 0.13924198199998727,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward_irregular[tilecpp-4-256-1500]": 0.1223792969999522,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward_irregular[tilecpp-7-100-1000]": 0.14450528700007226,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward_irregular[tilecpp-7-256-512]": 0.15614257100003215,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward_irregular[tilecpp-8-100-512]": 0.13018059099994161,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_backward_irregular[tilecpp-8-333-256]": 1.0481999739999992,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward[cutile-2-512-1024-4096]": 0.24863894899996808,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward[cutile-4-1024-2048-8192]": 0.2674310610000248,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward[cutile-8-2048-4096-14336]": 0.3337239299999908,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward[tilecpp-2-512-1024-4096]": 0.5845655350000243,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward[tilecpp-4-1024-2048-8192]": 0.6250422659999799,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward[tilecpp-8-2048-4096-14336]": 0.6842640110000389,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward_irregular[cutile-13-256-2048]": 0.12179500800002074,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward_irregular[cutile-13-333-1500]": 0.2922527119999927,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward_irregular[cutile-7-100-1000]": 0.3271616940000399,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward_irregular[cutile-7-512-1024]": 0.14145250800001463,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward_irregular[cutile-8-100-1024]": 0.10419804400001453,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward_irregular[cutile-8-256-1000]": 0.2780735120000486,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward_irregular[cutile-8-256-1500]": 0.29333383900006993,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward_irregular[cutile-8-256-3000]": 0.35644875700000966,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward_irregular[cutile-8-333-512]": 0.18250412099996538,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward_irregular[tilecpp-13-256-2048]": 0.11693695999997544,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward_irregular[tilecpp-13-333-1500]": 0.1261755189999576,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward_irregular[tilecpp-7-100-1000]": 0.1401045429999499,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward_irregular[tilecpp-7-512-1024]": 0.13976522399997293,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward_irregular[tilecpp-8-100-1024]": 0.1083349569999541,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward_irregular[tilecpp-8-256-1000]": 0.6490980830000126,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward_irregular[tilecpp-8-256-1500]": 0.613854789999948,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward_irregular[tilecpp-8-256-3000]": 0.692126323000025,
+"tests/ops/test_swiglu.py::Test_SwiGLU::test_op_forward_irregular[tilecpp-8-333-512]": 0.5593449569999507,
+"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-1024-1024-torch.float16]": 0.3129465729999197,
+"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-1024-1024-torch.float32]": 0.2952344409999341,
+"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-128-128-torch.float16]": 0.2770535559999985,
+"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-128-128-torch.float32]": 0.26898257100003775,
+"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-16-16-torch.float16]": 0.24650121899998112,
+"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-16-16-torch.float32]": 0.2740488200000186,
+"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-2-2-torch.float16]": 0.2737849100000176,
+"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-2-2-torch.float32]": 0.2950555310000027,
+"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-2048-2048-torch.float16]": 0.25609451899998703,
+"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-2048-2048-torch.float32]": 0.2732605229999763,
+"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-256-256-torch.float16]": 0.27155418099999906,
+"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-256-256-torch.float32]": 0.2769324509999933,
+"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-32-32-torch.float16]": 0.24557798299997557,
+"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-32-32-torch.float32]": 0.2714202859999091,
+"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-4-4-torch.float16]": 0.30842154900000196,
+"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-4-4-torch.float32]": 0.2922036860000503,
+"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-4096-4096-torch.float16]": 0.3454609800000412,
+"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-4096-4096-torch.float32]": 0.3013915740000357,
+"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-512-512-torch.float16]": 0.30240382900007035,
+"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-512-512-torch.float32]": 0.2748496780000096,
+"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-64-64-torch.float16]": 0.2656960890000164,
+"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-64-64-torch.float32]": 0.2587393570000245,
+"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-8-8-torch.float16]": 0.31059367000000293,
+"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-8-8-torch.float32]": 0.29570730500000764,
+"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-8192-8192-torch.float16]": 0.41668787699995846,
+"tests/ops/test_transpose.py::Test_Transpose::test_op[cutile-8192-8192-torch.float32]": 0.32575218800002403,
+"tests/suites/fla/test_host_contracts.py::test_op_device_cache_key_distinguishes_device_and_architecture": 0.0007904539999969984,
+"tests/suites/fla/test_host_contracts.py::test_op_empty_normalization_state_and_gradients[False-False-[0, 0, 0]-cutile]": 0.0033953069999768104,
+"tests/suites/fla/test_host_contracts.py::test_op_empty_normalization_state_and_gradients[False-False-[0, 0, 2]-cutile]": 0.002303759999904287,
+"tests/suites/fla/test_host_contracts.py::test_op_empty_normalization_state_and_gradients[False-False-[0, 1, 1, 3]-cutile]": 0.0026367960000470703,
+"tests/suites/fla/test_host_contracts.py::test_op_empty_normalization_state_and_gradients[False-False-[0, 2, 2]-cutile]": 0.0020913520000931385,
+"tests/suites/fla/test_host_contracts.py::test_op_empty_normalization_state_and_gradients[False-True-[0, 0, 0]-cutile]": 0.0019589130000383648,
+"tests/suites/fla/test_host_contracts.py::test_op_empty_normalization_state_and_gradients[False-True-[0, 0, 2]-cutile]": 0.002282717999975148,
+"tests/suites/fla/test_host_contracts.py::test_op_empty_normalization_state_and_gradients[False-True-[0, 1, 1, 3]-cutile]": 0.002205836000001682,
+"tests/suites/fla/test_host_contracts.py::test_op_empty_normalization_state_and_gradients[False-True-[0, 2, 2]-cutile]": 0.0021088860000020304,
+"tests/suites/fla/test_host_contracts.py::test_op_empty_normalization_state_and_gradients[True-False-[0, 0, 0]-cutile]": 0.012425944999989724,
+"tests/suites/fla/test_host_contracts.py::test_op_empty_normalization_state_and_gradients[True-False-[0, 0, 2]-cutile]": 0.014053535000016382,
+"tests/suites/fla/test_host_contracts.py::test_op_empty_normalization_state_and_gradients[True-False-[0, 1, 1, 3]-cutile]": 0.01061783999998056,
+"tests/suites/fla/test_host_contracts.py::test_op_empty_normalization_state_and_gradients[True-False-[0, 2, 2]-cutile]": 0.008998228999985258,
+"tests/suites/fla/test_host_contracts.py::test_op_empty_normalization_state_and_gradients[True-True-[0, 0, 0]-cutile]": 0.012040158000019119,
+"tests/suites/fla/test_host_contracts.py::test_op_empty_normalization_state_and_gradients[True-True-[0, 0, 2]-cutile]": 0.014289534999988973,
+"tests/suites/fla/test_host_contracts.py::test_op_empty_normalization_state_and_gradients[True-True-[0, 1, 1, 3]-cutile]": 0.008274457999988272,
+"tests/suites/fla/test_host_contracts.py::test_op_empty_normalization_state_and_gradients[True-True-[0, 2, 2]-cutile]": 0.012885759999988977,
+"tests/suites/fla/test_host_contracts.py::test_op_final_state_contract[False-False-False-cutile-chunk-chunk_linear_attn-chunk_simple_gla]": 0.0016192949999549455,
+"tests/suites/fla/test_host_contracts.py::test_op_final_state_contract[False-False-False-cutile-fused_chunk-fused_chunk_linear_attn-fused_chunk_simple_gla]": 0.0014385299999730705,
+"tests/suites/fla/test_host_contracts.py::test_op_final_state_contract[False-False-True-cutile-chunk-chunk_linear_attn-chunk_simple_gla]": 0.0018959349999931874,
+"tests/suites/fla/test_host_contracts.py::test_op_final_state_contract[False-False-True-cutile-fused_chunk-fused_chunk_linear_attn-fused_chunk_simple_gla]": 0.0025181320000342566,
+"tests/suites/fla/test_host_contracts.py::test_op_final_state_contract[False-True-False-cutile-chunk-chunk_linear_attn-chunk_simple_gla]": 0.0019266330000391463,
+"tests/suites/fla/test_host_contracts.py::test_op_final_state_contract[False-True-False-cutile-fused_chunk-fused_chunk_linear_attn-fused_chunk_simple_gla]": 0.00348217300000897,
+"tests/suites/fla/test_host_contracts.py::test_op_final_state_contract[False-True-True-cutile-chunk-chunk_linear_attn-chunk_simple_gla]": 0.002968087999988711,
+"tests/suites/fla/test_host_contracts.py::test_op_final_state_contract[False-True-True-cutile-fused_chunk-fused_chunk_linear_attn-fused_chunk_simple_gla]": 0.0018434190000107264,
+"tests/suites/fla/test_host_contracts.py::test_op_final_state_contract[True-False-False-cutile-chunk-chunk_linear_attn-chunk_simple_gla]": 0.0013821169999914673,
+"tests/suites/fla/test_host_contracts.py::test_op_final_state_contract[True-False-False-cutile-fused_chunk-fused_chunk_linear_attn-fused_chunk_simple_gla]": 0.0013632769999389893,
+"tests/suites/fla/test_host_contracts.py::test_op_final_state_contract[True-False-True-cutile-chunk-chunk_linear_attn-chunk_simple_gla]": 0.00173953800003801,
+"tests/suites/fla/test_host_contracts.py::test_op_final_state_contract[True-False-True-cutile-fused_chunk-fused_chunk_linear_attn-fused_chunk_simple_gla]": 0.0016898560000413454,
+"tests/suites/fla/test_host_contracts.py::test_op_final_state_contract[True-True-False-cutile-chunk-chunk_linear_attn-chunk_simple_gla]": 0.0013595910000390177,
+"tests/suites/fla/test_host_contracts.py::test_op_final_state_contract[True-True-False-cutile-fused_chunk-fused_chunk_linear_attn-fused_chunk_simple_gla]": 0.001376022999977522,
+"tests/suites/fla/test_host_contracts.py::test_op_final_state_contract[True-True-True-cutile-chunk-chunk_linear_attn-chunk_simple_gla]": 0.001778384000033384,
+"tests/suites/fla/test_host_contracts.py::test_op_final_state_contract[True-True-True-cutile-fused_chunk-fused_chunk_linear_attn-fused_chunk_simple_gla]": 0.001769373000001906,
+"tests/suites/fla/test_host_contracts.py::test_op_gdn_rejects_unknown_options[cutile-chunk]": 0.00110013699998035,
+"tests/suites/fla/test_host_contracts.py::test_op_gdn_rejects_unknown_options[cutile-recurrent]": 0.001113785000001144,
+"tests/suites/fla/test_host_contracts.py::test_op_gdn_training_restrictions_are_checked_at_entry[cutile-dtype]": 0.0010865960000217,
+"tests/suites/fla/test_host_contracts.py::test_op_gdn_training_restrictions_are_checked_at_entry[cutile-final]": 0.0011867200000210687,
+"tests/suites/fla/test_host_contracts.py::test_op_gdn_training_restrictions_are_checked_at_entry[cutile-norm]": 0.0011059869999883176,
+"tests/suites/fla/test_host_contracts.py::test_op_gdn_training_restrictions_are_checked_at_entry[cutile-state]": 0.001010175000004665,
+"tests/suites/fla/test_host_contracts.py::test_op_gdn_training_restrictions_are_checked_at_entry[cutile-varlen]": 0.0010626950000016677,
+"tests/suites/fla/test_host_contracts.py::test_op_gdn_training_restrictions_are_checked_at_entry[cutile-vector_beta]": 0.001063734000013028,
+"tests/suites/fla/test_host_contracts.py::test_op_gva_default_beta_matches_value_heads[cutile]": 0.0012242049999997562,
+"tests/suites/fla/test_host_contracts.py::test_op_input_guard_contiguity[False]": 0.0011925850000125138,
+"tests/suites/fla/test_host_contracts.py::test_op_input_guard_contiguity[True]": 0.0010888079999631373,
+"tests/suites/fla/test_host_contracts.py::test_op_input_guard_contiguity[['b']]": 0.001075770999989345,
+"tests/suites/fla/test_host_contracts.py::test_op_input_guard_device_context[False]": 0.0008699029999661434,
+"tests/suites/fla/test_host_contracts.py::test_op_input_guard_device_context[True]": 0.0008972330000460715,
+"tests/suites/fla/test_host_contracts.py::test_op_large_normalization_product_falls_back[chunk]": 0.00491697600000407,
+"tests/suites/fla/test_host_contracts.py::test_op_large_normalization_product_falls_back[fused_chunk]": 0.002855200000055902,
+"tests/suites/fla/test_host_contracts.py::test_op_mamba_chunk_routes_allow_wide_key_gradients[128]": 0.0008813759999952708,
+"tests/suites/fla/test_host_contracts.py::test_op_mamba_chunk_routes_allow_wide_key_gradients[256]": 0.0008731229999909829,
+"tests/suites/fla/test_host_contracts.py::test_op_mamba_chunk_routes_allow_wide_key_gradients[64]": 0.000919704000011734,
+"tests/suites/fla/test_host_contracts.py::test_op_mamba_chunk_routes_reject_gate_gradients[128]": 0.0009276429999829361,
+"tests/suites/fla/test_host_contracts.py::test_op_mamba_chunk_routes_reject_gate_gradients[32]": 0.0009780820000173662,
+"tests/suites/fla/test_host_contracts.py::test_op_mamba_chunk_routes_reject_gate_gradients[64]": 0.0009569020000128603,
+"tests/suites/fla/test_host_contracts.py::test_op_padded_output_tile_candidates[1-1]": 0.0009131449999983943,
+"tests/suites/fla/test_host_contracts.py::test_op_padded_output_tile_candidates[128-128]": 0.000863288000061857,
+"tests/suites/fla/test_host_contracts.py::test_op_padded_output_tile_candidates[16-16]": 0.000870512999966877,
+"tests/suites/fla/test_host_contracts.py::test_op_padded_output_tile_candidates[256-64]": 0.0008550470000159294,
+"tests/suites/fla/test_host_contracts.py::test_op_padded_output_tile_candidates[64-8]": 0.0010365070000091237,
+"tests/suites/fla/test_host_contracts.py::test_op_padded_output_tile_candidates[8-64]": 0.014131663000000572,
+"tests/suites/fla/test_host_contracts.py::test_op_positional_dispatch[gdn_chunk-chunk_gated_delta_rule]": 0.0009159690000046794,
+"tests/suites/fla/test_host_contracts.py::test_op_segmented_arange_empty_segments": 0.006163585000024341,
+"tests/suites/fla/test_host_contracts.py::test_op_sequence_metadata_tracks_inplace_updates[cutile]": 0.021145425000042906,
+"tests/suites/fla/test_host_contracts.py::test_op_shared_tuning_failure_retry_and_device_cache[False]": 0.001371726000002127,
+"tests/suites/fla/test_host_contracts.py::test_op_shared_tuning_failure_retry_and_device_cache[True]": 0.0007929019999721731,
+"tests/suites/fla/test_host_contracts.py::test_op_state_tiles_use_grid_capacity_and_safe_device_fallback": 0.0008064999999817246,
+"tests/suites/fla/test_host_contracts.py::test_op_tuning_cache_hit_skips_candidate_construction": 0.0008037419999880058,
+"tests/suites/fla/test_host_contracts.py::test_op_tuning_public_switch_overrides_a_warm_cache": 0.0014083109999774024,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op[cutile-torch.bfloat16-False-1-256-2-64-32]": 0.8751966400000697,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op[cutile-torch.bfloat16-False-1-64-2-32-32]": 1.04349473700006,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op[cutile-torch.bfloat16-False-2-128-2-48-48]": 1.1822392199999854,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op[cutile-torch.bfloat16-False-2-128-4-64-64]": 1.1870305709999798,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op[cutile-torch.bfloat16-False-2-256-2-32-64]": 1.1039058220000015,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op[cutile-torch.bfloat16-True-1-256-2-64-32]": 0.12276586800004452,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op[cutile-torch.bfloat16-True-1-64-2-32-32]": 0.11276405999990402,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op[cutile-torch.bfloat16-True-2-128-2-48-48]": 0.11150540599999204,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op[cutile-torch.bfloat16-True-2-128-4-64-64]": 0.11362577299996701,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op[cutile-torch.bfloat16-True-2-256-2-32-64]": 0.130216216000008,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op[cutile-torch.float32-False-1-256-2-64-32]": 0.13282637000003206,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op[cutile-torch.float32-False-1-64-2-32-32]": 0.1503052650000427,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op[cutile-torch.float32-False-2-128-2-48-48]": 0.14345758700000033,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op[cutile-torch.float32-False-2-128-4-64-64]": 0.12237406999997802,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op[cutile-torch.float32-False-2-256-2-32-64]": 0.13324100199992017,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op[cutile-torch.float32-True-1-256-2-64-32]": 2.230667890999996,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op[cutile-torch.float32-True-1-64-2-32-32]": 2.1567699019999793,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op[cutile-torch.float32-True-2-128-2-48-48]": 3.019320128000004,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op[cutile-torch.float32-True-2-128-4-64-64]": 3.089660080999977,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op[cutile-torch.float32-True-2-256-2-32-64]": 2.7526900280000177,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op_backward[cutile-False-1-256-2-64-32]": 0.23382962300001964,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op_backward[cutile-False-1-64-2-32-32]": 0.16794274199997972,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op_backward[cutile-False-2-128-2-48-48]": 0.1736031699999785,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op_backward[cutile-False-2-128-4-64-64]": 0.1913323179999793,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op_backward[cutile-False-2-256-2-32-64]": 0.2386077980000323,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op_backward[cutile-True-1-256-2-64-32]": 3.198171413999944,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op_backward[cutile-True-1-64-2-32-32]": 3.2876356209999926,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op_backward[cutile-True-2-128-2-48-48]": 3.6942077910000535,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op_backward[cutile-True-2-128-4-64-64]": 3.698639893999939,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op_backward[cutile-True-2-256-2-32-64]": 3.083138894000058,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op_backward_ragged_seqlen[cutile-1-191-2-64-32]": 2.737625712999943,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op_backward_ragged_seqlen[cutile-1-65-2-32-32]": 2.731685233999997,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op_backward_ragged_seqlen[cutile-2-100-2-48-48]": 3.126610458000016,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op_backward_ragged_seqlen[cutile-2-130-4-64-64]": 3.253711484000064,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op_default_scale[cutile-1-256-2-32-64]": 0.12687895499999513,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op_default_scale[cutile-2-128-2-48-48]": 0.12505307399993626,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op_fp16[cutile-1-256-2-64-32]": 0.8709710389999827,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op_fp16[cutile-2-128-2-48-48]": 1.1306587990000025,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op_initial_state[cutile-1-256-2-64-32]": 0.5556158789999586,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op_initial_state[cutile-2-128-2-48-48]": 0.629455403999998,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op_normalize_initial_state_tuple[cutile-1-256-2-64-32]": 0.13880656199995656,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op_normalize_initial_state_tuple[cutile-2-128-2-48-48]": 0.1529342560000373,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op_output_final_state[cutile-1-256-2-64-32]": 0.5640518969999562,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op_output_final_state[cutile-2-128-2-48-48]": 0.6529789769999752,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op_ragged_seqlen[cutile-False-1-191-2-64-32]": 0.1131041239999604,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op_ragged_seqlen[cutile-False-1-65-2-32-32]": 0.14326143700003513,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op_ragged_seqlen[cutile-False-2-100-2-48-48]": 0.11384673199995632,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op_ragged_seqlen[cutile-False-2-130-4-64-64]": 0.10991174899999123,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op_ragged_seqlen[cutile-True-1-191-2-64-32]": 2.222629549999965,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op_ragged_seqlen[cutile-True-1-65-2-32-32]": 1.990057864999983,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op_ragged_seqlen[cutile-True-2-100-2-48-48]": 2.762793237999972,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op_ragged_seqlen[cutile-True-2-130-4-64-64]": 3.0321624539999448,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op_small_chunk_size[cutile-1-16-2-32-32]": 0.6470561940000152,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op_small_chunk_size[cutile-1-48-2-32-64]": 0.13557491599999594,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op_small_chunk_size[cutile-2-32-4-64-64]": 1.4009903879999683,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op_small_chunk_size[cutile-2-8-2-32-32]": 0.6289873509999211,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op_varlen_normalized[cutile-False]": 2.431189646000064,
+"tests/suites/fla/test_linear_attention_chunk.py::Test_FLA_LinearAttentionChunk::test_op_varlen_normalized[cutile-True]": 0.8718289150000373,
+"tests/suites/fla/test_linear_attention_deltanet_fused_recurrent.py::Test_FLA_LinearAttentionDeltanetFusedRecurrent::test_op[cutile-torch.bfloat16-1-256-2-32-48]": 14.342583275999914,
+"tests/suites/fla/test_linear_attention_deltanet_fused_recurrent.py::Test_FLA_LinearAttentionDeltanetFusedRecurrent::test_op[cutile-torch.bfloat16-2-128-4-64-64]": 15.509474721000004,
+"tests/suites/fla/test_linear_attention_deltanet_fused_recurrent.py::Test_FLA_LinearAttentionDeltanetFusedRecurrent::test_op[cutile-torch.float32-1-256-2-32-48]": 0.6943782179999971,
+"tests/suites/fla/test_linear_attention_deltanet_fused_recurrent.py::Test_FLA_LinearAttentionDeltanetFusedRecurrent::test_op[cutile-torch.float32-2-128-4-64-64]": 0.8617118289999439,
+"tests/suites/fla/test_linear_attention_deltanet_fused_recurrent.py::Test_FLA_LinearAttentionDeltanetFusedRecurrent::test_op_backward[cutile-1-256-2-32-48]": 3.262676752999937,
+"tests/suites/fla/test_linear_attention_deltanet_fused_recurrent.py::Test_FLA_LinearAttentionDeltanetFusedRecurrent::test_op_backward[cutile-2-128-4-64-64]": 5.448899580999978,
+"tests/suites/fla/test_linear_attention_deltanet_fused_recurrent.py::Test_FLA_LinearAttentionDeltanetFusedRecurrent::test_op_backward_frozen_initial_state_uses_h0[cutile]": 4.65503626800006,
+"tests/suites/fla/test_linear_attention_deltanet_fused_recurrent.py::Test_FLA_LinearAttentionDeltanetFusedRecurrent::test_op_backward_headwise_beta[cutile-2-32-2-48-40]": 6.17615278400001,
+"tests/suites/fla/test_linear_attention_deltanet_fused_recurrent.py::Test_FLA_LinearAttentionDeltanetFusedRecurrent::test_op_custom_scale[cutile-0.25-2-64-2-32-32]": 0.7162770229999751,
+"tests/suites/fla/test_linear_attention_deltanet_fused_recurrent.py::Test_FLA_LinearAttentionDeltanetFusedRecurrent::test_op_custom_scale[cutile-1.0-2-64-2-32-32]": 0.6617900139999051,
+"tests/suites/fla/test_linear_attention_deltanet_fused_recurrent.py::Test_FLA_LinearAttentionDeltanetFusedRecurrent::test_op_custom_scale[cutile-2.0-2-64-2-32-32]": 0.6766075079999609,
+"tests/suites/fla/test_linear_attention_deltanet_fused_recurrent.py::Test_FLA_LinearAttentionDeltanetFusedRecurrent::test_op_headwise_beta[cutile-torch.bfloat16-1-256-2-32-48]": 0.6769250469999974,
+"tests/suites/fla/test_linear_attention_deltanet_fused_recurrent.py::Test_FLA_LinearAttentionDeltanetFusedRecurrent::test_op_headwise_beta[cutile-torch.bfloat16-2-128-4-64-64]": 0.7971347140000375,
+"tests/suites/fla/test_linear_attention_deltanet_fused_recurrent.py::Test_FLA_LinearAttentionDeltanetFusedRecurrent::test_op_headwise_beta[cutile-torch.float32-1-256-2-32-48]": 0.6786889639999458,
+"tests/suites/fla/test_linear_attention_deltanet_fused_recurrent.py::Test_FLA_LinearAttentionDeltanetFusedRecurrent::test_op_headwise_beta[cutile-torch.float32-2-128-4-64-64]": 0.79889344999998,
+"tests/suites/fla/test_linear_attention_deltanet_fused_recurrent.py::Test_FLA_LinearAttentionDeltanetFusedRecurrent::test_op_initial_and_final_state[cutile-torch.bfloat16-1-256-2-32-48]": 3.1531476229998816,
+"tests/suites/fla/test_linear_attention_deltanet_fused_recurrent.py::Test_FLA_LinearAttentionDeltanetFusedRecurrent::test_op_initial_and_final_state[cutile-torch.bfloat16-2-128-4-64-64]": 4.0860289799999805,
+"tests/suites/fla/test_linear_attention_deltanet_fused_recurrent.py::Test_FLA_LinearAttentionDeltanetFusedRecurrent::test_op_initial_and_final_state[cutile-torch.float32-1-256-2-32-48]": 0.48241989000001695,
+"tests/suites/fla/test_linear_attention_deltanet_fused_recurrent.py::Test_FLA_LinearAttentionDeltanetFusedRecurrent::test_op_initial_and_final_state[cutile-torch.float32-2-128-4-64-64]": 0.4825800910000453,
+"tests/suites/fla/test_linear_attention_deltanet_fused_recurrent.py::Test_FLA_LinearAttentionDeltanetFusedRecurrent::test_op_kv_boundary[cutile-torch.bfloat16-1-130-2-24-56]": 14.44665756500001,
+"tests/suites/fla/test_linear_attention_deltanet_fused_recurrent.py::Test_FLA_LinearAttentionDeltanetFusedRecurrent::test_op_kv_boundary[cutile-torch.bfloat16-2-96-3-48-40]": 15.280118021999954,
+"tests/suites/fla/test_linear_attention_deltanet_fused_recurrent.py::Test_FLA_LinearAttentionDeltanetFusedRecurrent::test_op_kv_boundary[cutile-torch.float32-1-130-2-24-56]": 0.6841602119999948,
+"tests/suites/fla/test_linear_attention_deltanet_fused_recurrent.py::Test_FLA_LinearAttentionDeltanetFusedRecurrent::test_op_kv_boundary[cutile-torch.float32-2-96-3-48-40]": 0.8426318170000968,
+"tests/suites/fla/test_linear_attention_deltanet_fused_recurrent.py::Test_FLA_LinearAttentionDeltanetFusedRecurrent::test_op_large_k[cutile-torch.bfloat16-192]": 20.156496800000014,
+"tests/suites/fla/test_linear_attention_deltanet_fused_recurrent.py::Test_FLA_LinearAttentionDeltanetFusedRecurrent::test_op_large_k[cutile-torch.bfloat16-256]": 20.410618426000042,
+"tests/suites/fla/test_linear_attention_deltanet_fused_recurrent.py::Test_FLA_LinearAttentionDeltanetFusedRecurrent::test_op_large_k[cutile-torch.float32-192]": 0.9922972770000342,
+"tests/suites/fla/test_linear_attention_deltanet_fused_recurrent.py::Test_FLA_LinearAttentionDeltanetFusedRecurrent::test_op_large_k[cutile-torch.float32-256]": 1.0160770270000512,
+"tests/suites/fla/test_linear_attention_deltanet_fused_recurrent.py::Test_FLA_LinearAttentionDeltanetFusedRecurrent::test_op_qk_l2norm_in_kernel[cutile-torch.bfloat16-1-96-3-32-48]": 11.47211545099998,
+"tests/suites/fla/test_linear_attention_deltanet_fused_recurrent.py::Test_FLA_LinearAttentionDeltanetFusedRecurrent::test_op_qk_l2norm_in_kernel[cutile-torch.bfloat16-2-64-2-64-64]": 12.312139498000022,
+"tests/suites/fla/test_linear_attention_deltanet_fused_recurrent.py::Test_FLA_LinearAttentionDeltanetFusedRecurrent::test_op_qk_l2norm_in_kernel[cutile-torch.float32-1-96-3-32-48]": 0.7959477379999385,
+"tests/suites/fla/test_linear_attention_deltanet_fused_recurrent.py::Test_FLA_LinearAttentionDeltanetFusedRecurrent::test_op_qk_l2norm_in_kernel[cutile-torch.float32-2-64-2-64-64]": 0.8795051960000251,
+"tests/suites/fla/test_linear_attention_fused_chunk.py::Test_FLA_LinearAttentionFusedChunk::test_op[cutile-torch.bfloat16-True-1-256-2-64-64]": 1.7418635329999006,
+"tests/suites/fla/test_linear_attention_fused_chunk.py::Test_FLA_LinearAttentionFusedChunk::test_op[cutile-torch.bfloat16-True-1-64-1-32-32]": 1.7501657799999748,
+"tests/suites/fla/test_linear_attention_fused_chunk.py::Test_FLA_LinearAttentionFusedChunk::test_op[cutile-torch.bfloat16-True-2-128-1-32-64]": 1.5102066180000975,
+"tests/suites/fla/test_linear_attention_fused_chunk.py::Test_FLA_LinearAttentionFusedChunk::test_op[cutile-torch.bfloat16-True-2-128-2-48-48]": 1.6910411969998904,
+"tests/suites/fla/test_linear_attention_fused_chunk.py::Test_FLA_LinearAttentionFusedChunk::test_op[cutile-torch.float32-False-1-256-2-64-64]": 0.1440596209999967,
+"tests/suites/fla/test_linear_attention_fused_chunk.py::Test_FLA_LinearAttentionFusedChunk::test_op[cutile-torch.float32-False-1-64-1-32-32]": 0.18057190400003265,
+"tests/suites/fla/test_linear_attention_fused_chunk.py::Test_FLA_LinearAttentionFusedChunk::test_op[cutile-torch.float32-False-2-128-1-32-64]": 0.16234468999999763,
+"tests/suites/fla/test_linear_attention_fused_chunk.py::Test_FLA_LinearAttentionFusedChunk::test_op[cutile-torch.float32-False-2-128-2-48-48]": 0.13764750799998637,
+"tests/suites/fla/test_linear_attention_fused_chunk.py::Test_FLA_LinearAttentionFusedChunk::test_op[cutile-torch.float32-True-1-256-2-64-64]": 5.175354281000011,
+"tests/suites/fla/test_linear_attention_fused_chunk.py::Test_FLA_LinearAttentionFusedChunk::test_op[cutile-torch.float32-True-1-64-1-32-32]": 2.510922254000036,
+"tests/suites/fla/test_linear_attention_fused_chunk.py::Test_FLA_LinearAttentionFusedChunk::test_op[cutile-torch.float32-True-2-128-1-32-64]": 3.8034174150000126,
+"tests/suites/fla/test_linear_attention_fused_chunk.py::Test_FLA_LinearAttentionFusedChunk::test_op[cutile-torch.float32-True-2-128-2-48-48]": 5.165311855000084,
+"tests/suites/fla/test_linear_attention_fused_chunk.py::Test_FLA_LinearAttentionFusedChunk::test_op_backward[cutile]": 7.014647951000029,
+"tests/suites/fla/test_linear_attention_fused_chunk.py::Test_FLA_LinearAttentionFusedChunk::test_op_chunk_boundary[cutile-False-16]": 0.1478849249999712,
+"tests/suites/fla/test_linear_attention_fused_chunk.py::Test_FLA_LinearAttentionFusedChunk::test_op_chunk_boundary[cutile-False-24]": 0.14361630300004435,
+"tests/suites/fla/test_linear_attention_fused_chunk.py::Test_FLA_LinearAttentionFusedChunk::test_op_chunk_boundary[cutile-False-48]": 0.13770330900001682,
+"tests/suites/fla/test_linear_attention_fused_chunk.py::Test_FLA_LinearAttentionFusedChunk::test_op_chunk_boundary[cutile-False-80]": 0.12598512399995343,
+"tests/suites/fla/test_linear_attention_fused_chunk.py::Test_FLA_LinearAttentionFusedChunk::test_op_chunk_boundary[cutile-True-16]": 1.1629905000000917,
+"tests/suites/fla/test_linear_attention_fused_chunk.py::Test_FLA_LinearAttentionFusedChunk::test_op_chunk_boundary[cutile-True-24]": 1.120303583000009,
+"tests/suites/fla/test_linear_attention_fused_chunk.py::Test_FLA_LinearAttentionFusedChunk::test_op_chunk_boundary[cutile-True-48]": 3.686110317999919,
+"tests/suites/fla/test_linear_attention_fused_chunk.py::Test_FLA_LinearAttentionFusedChunk::test_op_chunk_boundary[cutile-True-80]": 0.15696962400011216,
+"tests/suites/fla/test_linear_attention_fused_chunk.py::Test_FLA_LinearAttentionFusedChunk::test_op_explicit_scale[cutile-0.1]": 3.666020732999982,
+"tests/suites/fla/test_linear_attention_fused_chunk.py::Test_FLA_LinearAttentionFusedChunk::test_op_explicit_scale[cutile-1.0]": 3.345480785999939,
+"tests/suites/fla/test_linear_attention_fused_chunk.py::Test_FLA_LinearAttentionFusedChunk::test_op_explicit_scale[cutile-4.0]": 3.718920239999875,
+"tests/suites/fla/test_linear_attention_fused_chunk.py::Test_FLA_LinearAttentionFusedChunk::test_op_identical_rows[cutile-False]": 0.1481052079998335,
+"tests/suites/fla/test_linear_attention_fused_chunk.py::Test_FLA_LinearAttentionFusedChunk::test_op_identical_rows[cutile-True]": 0.16381984100007685,
+"tests/suites/fla/test_linear_attention_fused_chunk.py::Test_FLA_LinearAttentionFusedChunk::test_op_initial_and_final_state_normalized[cutile-1-64-1-32-32]": 0.15330922800012559,
+"tests/suites/fla/test_linear_attention_fused_chunk.py::Test_FLA_LinearAttentionFusedChunk::test_op_initial_and_final_state_normalized[cutile-2-128-2-48-64]": 0.13683785800003534,
+"tests/suites/fla/test_linear_attention_fused_chunk.py::Test_FLA_LinearAttentionFusedChunk::test_op_initial_and_final_state_unnormalized[cutile-1-64-1-32-32]": 2.0197522239999444,
+"tests/suites/fla/test_linear_attention_fused_chunk.py::Test_FLA_LinearAttentionFusedChunk::test_op_initial_and_final_state_unnormalized[cutile-2-128-2-48-64]": 4.84628352499999,
+"tests/suites/fla/test_linear_attention_fused_chunk.py::Test_FLA_LinearAttentionFusedChunk::test_op_kv_multi_tile[cutile-False-128-64]": 0.170464896999988,
+"tests/suites/fla/test_linear_attention_fused_chunk.py::Test_FLA_LinearAttentionFusedChunk::test_op_kv_multi_tile[cutile-False-64-128]": 0.1543548690000307,
+"tests/suites/fla/test_linear_attention_fused_chunk.py::Test_FLA_LinearAttentionFusedChunk::test_op_kv_multi_tile[cutile-False-96-96]": 0.15795069900002545,
+"tests/suites/fla/test_linear_attention_fused_chunk.py::Test_FLA_LinearAttentionFusedChunk::test_op_kv_multi_tile[cutile-True-128-64]": 12.040364719000081,
+"tests/suites/fla/test_linear_attention_fused_chunk.py::Test_FLA_LinearAttentionFusedChunk::test_op_kv_multi_tile[cutile-True-64-128]": 8.567450890000032,
+"tests/suites/fla/test_linear_attention_fused_chunk.py::Test_FLA_LinearAttentionFusedChunk::test_op_kv_multi_tile[cutile-True-96-96]": 22.844683314000008,
+"tests/suites/fla/test_linear_attention_fused_chunk.py::Test_FLA_LinearAttentionFusedChunk::test_op_per_token_gate[cutile-False-1-256-2-32-32]": 0.28457646100014244,
+"tests/suites/fla/test_linear_attention_fused_chunk.py::Test_FLA_LinearAttentionFusedChunk::test_op_per_token_gate[cutile-False-2-80-2-32-32]": 13.799950371000136,
+"tests/suites/fla/test_linear_attention_fused_chunk.py::Test_FLA_LinearAttentionFusedChunk::test_op_per_token_gate[cutile-True-1-256-2-32-32]": 0.2959703350001064,
+"tests/suites/fla/test_linear_attention_fused_chunk.py::Test_FLA_LinearAttentionFusedChunk::test_op_per_token_gate[cutile-True-2-80-2-32-32]": 13.92281565099995,
+"tests/suites/fla/test_linear_attention_gdn_chunk.py::Test_FLA_LinearAttentionGdnChunk::test_op_backward[cutile-1-128-1-64-8]": 80.87630457399996,
+"tests/suites/fla/test_linear_attention_gdn_chunk.py::Test_FLA_LinearAttentionGdnChunk::test_op_backward[cutile-1-128-1-8-64]": 62.67999224099992,
+"tests/suites/fla/test_linear_attention_gdn_chunk.py::Test_FLA_LinearAttentionGdnChunk::test_op_backward[cutile-1-256-2-32-48]": 58.229255889,
+"tests/suites/fla/test_linear_attention_gdn_chunk.py::Test_FLA_LinearAttentionGdnChunk::test_op_backward[cutile-1-33-1-15-8]": 67.73591092799995,
+"tests/suites/fla/test_linear_attention_gdn_chunk.py::Test_FLA_LinearAttentionGdnChunk::test_op_backward[cutile-1-33-1-32-32]": 55.87911034099989,
+"tests/suites/fla/test_linear_attention_gdn_chunk.py::Test_FLA_LinearAttentionGdnChunk::test_op_backward[cutile-1-64-1-16-16]": 47.64911812599996,
+"tests/suites/fla/test_linear_attention_gdn_chunk.py::Test_FLA_LinearAttentionGdnChunk::test_op_backward[cutile-1-64-1-7-16]": 68.81242279399999,
+"tests/suites/fla/test_linear_attention_gdn_chunk.py::Test_FLA_LinearAttentionGdnChunk::test_op_backward[cutile-2-128-2-64-32]": 60.58843677899995,
+"tests/suites/fla/test_linear_attention_gdn_chunk.py::Test_FLA_LinearAttentionGdnChunk::test_op_backward[cutile-2-128-4-64-64]": 60.536628875999895,
+"tests/suites/fla/test_linear_attention_gdn_chunk.py::Test_FLA_LinearAttentionGdnChunk::test_op_backward[cutile-2-65-2-4-8]": 58.06672874499992,
+"tests/suites/fla/test_linear_attention_gdn_chunk.py::Test_FLA_LinearAttentionGdnChunk::test_op_backward_initial_state[cutile-1-192-2-32-48]": 10.245297401000016,
+"tests/suites/fla/test_linear_attention_gdn_chunk.py::Test_FLA_LinearAttentionGdnChunk::test_op_backward_initial_state[cutile-2-128-4-64-64]": 17.337037722999867,
+"tests/suites/fla/test_linear_attention_gdn_chunk.py::Test_FLA_LinearAttentionGdnChunk::test_op_cutile_dhu_tail_scatter[33]": 4.9379874210000025,
+"tests/suites/fla/test_linear_attention_gdn_chunk.py::Test_FLA_LinearAttentionGdnChunk::test_op_cutile_dhu_tail_scatter[64]": 0.7809684110001172,
+"tests/suites/fla/test_linear_attention_gdn_chunk.py::Test_FLA_LinearAttentionGdnChunk::test_op_forward[cutile-1-128-1-64-8]": 2.319490782999992,
+"tests/suites/fla/test_linear_attention_gdn_chunk.py::Test_FLA_LinearAttentionGdnChunk::test_op_forward[cutile-1-128-1-8-64]": 2.3287026210000477,
+"tests/suites/fla/test_linear_attention_gdn_chunk.py::Test_FLA_LinearAttentionGdnChunk::test_op_forward[cutile-1-256-2-32-48]": 20.411222453000164,
+"tests/suites/fla/test_linear_attention_gdn_chunk.py::Test_FLA_LinearAttentionGdnChunk::test_op_forward[cutile-1-33-1-15-8]": 2.8656133419999605,
+"tests/suites/fla/test_linear_attention_gdn_chunk.py::Test_FLA_LinearAttentionGdnChunk::test_op_forward[cutile-1-33-1-32-32]": 21.694070577999923,
+"tests/suites/fla/test_linear_attention_gdn_chunk.py::Test_FLA_LinearAttentionGdnChunk::test_op_forward[cutile-1-64-1-16-16]": 2.289267447000043,
+"tests/suites/fla/test_linear_attention_gdn_chunk.py::Test_FLA_LinearAttentionGdnChunk::test_op_forward[cutile-1-64-1-7-16]": 2.332375721000062,
+"tests/suites/fla/test_linear_attention_gdn_chunk.py::Test_FLA_LinearAttentionGdnChunk::test_op_forward[cutile-2-128-2-64-32]": 15.082070602000044,
+"tests/suites/fla/test_linear_attention_gdn_chunk.py::Test_FLA_LinearAttentionGdnChunk::test_op_forward[cutile-2-128-4-64-64]": 16.23105342200006,
+"tests/suites/fla/test_linear_attention_gdn_chunk.py::Test_FLA_LinearAttentionGdnChunk::test_op_forward[cutile-2-65-2-4-8]": 2.8122799449998865,
+"tests/suites/fla/test_linear_attention_gdn_chunk.py::Test_FLA_LinearAttentionGdnChunk::test_op_forward_beta_sigmoid_in_kernel[cutile-False]": 11.912557042000117,
+"tests/suites/fla/test_linear_attention_gdn_chunk.py::Test_FLA_LinearAttentionGdnChunk::test_op_forward_beta_sigmoid_in_kernel[cutile-True]": 0.1804257239996332,
+"tests/suites/fla/test_linear_attention_gdn_chunk.py::Test_FLA_LinearAttentionGdnChunk::test_op_forward_default_scale[cutile]": 0.17177364700023645,
+"tests/suites/fla/test_linear_attention_gdn_chunk.py::Test_FLA_LinearAttentionGdnChunk::test_op_forward_gate_in_kernel[cutile-2]": 0.7565896930002509,
+"tests/suites/fla/test_linear_attention_gdn_chunk.py::Test_FLA_LinearAttentionGdnChunk::test_op_forward_gate_in_kernel[cutile-8]": 15.812737590000097,
+"tests/suites/fla/test_linear_attention_gdn_chunk.py::Test_FLA_LinearAttentionGdnChunk::test_op_forward_grouped_value_attention[cutile-1-128-2-6-32-48]": 18.01977569299993,
+"tests/suites/fla/test_linear_attention_gdn_chunk.py::Test_FLA_LinearAttentionGdnChunk::test_op_forward_grouped_value_attention[cutile-2-128-2-4-64-64]": 3.225139003999857,
+"tests/suites/fla/test_linear_attention_gdn_chunk.py::Test_FLA_LinearAttentionGdnChunk::test_op_forward_initial_and_final_state[cutile-1-192-2-32-48]": 8.610600869999871,
+"tests/suites/fla/test_linear_attention_gdn_chunk.py::Test_FLA_LinearAttentionGdnChunk::test_op_forward_initial_and_final_state[cutile-2-128-4-64-64]": 5.351700205000043,
+"tests/suites/fla/test_linear_attention_gdn_chunk.py::Test_FLA_LinearAttentionGdnChunk::test_op_forward_no_l2norm_in_kernel[cutile-1-192-2-32-48]": 0.20853177999993022,
+"tests/suites/fla/test_linear_attention_gdn_chunk.py::Test_FLA_LinearAttentionGdnChunk::test_op_forward_no_l2norm_in_kernel[cutile-2-128-4-64-64]": 0.1723561469998458,
+"tests/suites/fla/test_linear_attention_gdn_chunk.py::Test_FLA_LinearAttentionGdnChunk::test_op_forward_partial_last_chunk[cutile-1-200-2-32-48]": 11.130311595999729,
+"tests/suites/fla/test_linear_attention_gdn_chunk.py::Test_FLA_LinearAttentionGdnChunk::test_op_forward_partial_last_chunk[cutile-2-96-4-64-64]": 12.8159611210001,
+"tests/suites/fla/test_linear_attention_gdn_chunk.py::Test_FLA_LinearAttentionGdnChunk::test_op_large_k[cutile-1-256-2-256-320]": 343.3213348900001,
+"tests/suites/fla/test_linear_attention_gdn_chunk.py::Test_FLA_LinearAttentionGdnChunk::test_op_large_k[cutile-1-256-2-320-320]": 0.0014575170000625803,
+"tests/suites/fla/test_linear_attention_gdn_chunk.py::Test_FLA_LinearAttentionGdnChunk::test_op_large_k[cutile-1-256-2-320-64]": 0.0011618470000485104,
+"tests/suites/fla/test_linear_attention_gdn_fused_recurrent.py::Test_FLA_LinearAttentionGdnFusedRecurrent::test_op[cutile-torch.bfloat16-1-256-2-32-48]": 0.16393465700002707,
+"tests/suites/fla/test_linear_attention_gdn_fused_recurrent.py::Test_FLA_LinearAttentionGdnFusedRecurrent::test_op[cutile-torch.bfloat16-2-128-4-64-64]": 0.19622605000040494,
+"tests/suites/fla/test_linear_attention_gdn_fused_recurrent.py::Test_FLA_LinearAttentionGdnFusedRecurrent::test_op[cutile-torch.float32-1-256-2-32-48]": 2.8617808559999958,
+"tests/suites/fla/test_linear_attention_gdn_fused_recurrent.py::Test_FLA_LinearAttentionGdnFusedRecurrent::test_op[cutile-torch.float32-2-128-4-64-64]": 3.349861219000104,
+"tests/suites/fla/test_linear_attention_gdn_fused_recurrent.py::Test_FLA_LinearAttentionGdnFusedRecurrent::test_op_backward_not_implemented[cutile]": 0.11877744999992501,
+"tests/suites/fla/test_linear_attention_gdn_fused_recurrent.py::Test_FLA_LinearAttentionGdnFusedRecurrent::test_op_beta_sigmoid_in_kernel[cutile-False-1-128-2-32-48]": 2.8265674550000313,
+"tests/suites/fla/test_linear_attention_gdn_fused_recurrent.py::Test_FLA_LinearAttentionGdnFusedRecurrent::test_op_beta_sigmoid_in_kernel[cutile-False-2-64-4-64-64]": 3.3588072800000646,
+"tests/suites/fla/test_linear_attention_gdn_fused_recurrent.py::Test_FLA_LinearAttentionGdnFusedRecurrent::test_op_beta_sigmoid_in_kernel[cutile-True-1-128-2-32-48]": 2.885342728999831,
+"tests/suites/fla/test_linear_attention_gdn_fused_recurrent.py::Test_FLA_LinearAttentionGdnFusedRecurrent::test_op_beta_sigmoid_in_kernel[cutile-True-2-64-4-64-64]": 3.390173181999671,
+"tests/suites/fla/test_linear_attention_gdn_fused_recurrent.py::Test_FLA_LinearAttentionGdnFusedRecurrent::test_op_cutile_dhu_tail_sentinel": 0.16262742999992952,
+"tests/suites/fla/test_linear_attention_gdn_fused_recurrent.py::Test_FLA_LinearAttentionGdnFusedRecurrent::test_op_default_scale_no_l2norm[cutile-1-128-2-32-48]": 2.03083287000004,
+"tests/suites/fla/test_linear_attention_gdn_fused_recurrent.py::Test_FLA_LinearAttentionGdnFusedRecurrent::test_op_default_scale_no_l2norm[cutile-2-64-4-64-64]": 2.560449982000364,
+"tests/suites/fla/test_linear_attention_gdn_fused_recurrent.py::Test_FLA_LinearAttentionGdnFusedRecurrent::test_op_gate_in_kernel[cutile-False-1-128-2-32-48]": 2.939480969999977,
+"tests/suites/fla/test_linear_attention_gdn_fused_recurrent.py::Test_FLA_LinearAttentionGdnFusedRecurrent::test_op_gate_in_kernel[cutile-False-2-64-4-64-64]": 3.4801681740000276,
+"tests/suites/fla/test_linear_attention_gdn_fused_recurrent.py::Test_FLA_LinearAttentionGdnFusedRecurrent::test_op_gate_in_kernel[cutile-True-1-128-2-32-48]": 2.9346108770000683,
+"tests/suites/fla/test_linear_attention_gdn_fused_recurrent.py::Test_FLA_LinearAttentionGdnFusedRecurrent::test_op_gate_in_kernel[cutile-True-2-64-4-64-64]": 3.549955202999854,
+"tests/suites/fla/test_linear_attention_gdn_fused_recurrent.py::Test_FLA_LinearAttentionGdnFusedRecurrent::test_op_grouped_value_attention[cutile-torch.bfloat16-1-96-1-4-32-48]": 3.500384180000083,
+"tests/suites/fla/test_linear_attention_gdn_fused_recurrent.py::Test_FLA_LinearAttentionGdnFusedRecurrent::test_op_grouped_value_attention[cutile-torch.bfloat16-2-64-2-4-64-64]": 4.071952184000111,
+"tests/suites/fla/test_linear_attention_gdn_fused_recurrent.py::Test_FLA_LinearAttentionGdnFusedRecurrent::test_op_grouped_value_attention[cutile-torch.float32-1-96-1-4-32-48]": 2.826451620999933,
+"tests/suites/fla/test_linear_attention_gdn_fused_recurrent.py::Test_FLA_LinearAttentionGdnFusedRecurrent::test_op_grouped_value_attention[cutile-torch.float32-2-64-2-4-64-64]": 3.507115376999991,
+"tests/suites/fla/test_linear_attention_gdn_fused_recurrent.py::Test_FLA_LinearAttentionGdnFusedRecurrent::test_op_gva_default_beta[cutile]": 0.4621642390004581,
+"tests/suites/fla/test_linear_attention_gdn_fused_recurrent.py::Test_FLA_LinearAttentionGdnFusedRecurrent::test_op_initial_and_final_state[cutile-torch.bfloat16-1-128-2-32-48]": 0.4803337220000685,
+"tests/suites/fla/test_linear_attention_gdn_fused_recurrent.py::Test_FLA_LinearAttentionGdnFusedRecurrent::test_op_initial_and_final_state[cutile-torch.bfloat16-2-64-4-64-64]": 0.5508506049998232,
+"tests/suites/fla/test_linear_attention_gdn_fused_recurrent.py::Test_FLA_LinearAttentionGdnFusedRecurrent::test_op_initial_and_final_state[cutile-torch.float32-1-128-2-32-48]": 0.563005073000113,
+"tests/suites/fla/test_linear_attention_gdn_fused_recurrent.py::Test_FLA_LinearAttentionGdnFusedRecurrent::test_op_initial_and_final_state[cutile-torch.float32-2-64-4-64-64]": 0.517060999000023,
+"tests/suites/fla/test_linear_attention_gdn_fused_recurrent.py::Test_FLA_LinearAttentionGdnFusedRecurrent::test_op_input_device_differs_from_current[cutile]": 0.0004447920000529848,
+"tests/suites/fla/test_linear_attention_gdn_fused_recurrent.py::Test_FLA_LinearAttentionGdnFusedRecurrent::test_op_no_gate[cutile-torch.bfloat16-1-128-2-32-48]": 3.0666218690000733,
+"tests/suites/fla/test_linear_attention_gdn_fused_recurrent.py::Test_FLA_LinearAttentionGdnFusedRecurrent::test_op_no_gate[cutile-torch.bfloat16-2-64-4-64-64]": 5.771196650999855,
+"tests/suites/fla/test_linear_attention_gdn_fused_recurrent.py::Test_FLA_LinearAttentionGdnFusedRecurrent::test_op_no_gate[cutile-torch.float32-1-128-2-32-48]": 2.366629530000182,
+"tests/suites/fla/test_linear_attention_gdn_fused_recurrent.py::Test_FLA_LinearAttentionGdnFusedRecurrent::test_op_no_gate[cutile-torch.float32-2-64-4-64-64]": 2.7548789989998568,
+"tests/suites/fla/test_linear_attention_gdn_fused_recurrent.py::Test_FLA_LinearAttentionGdnFusedRecurrent::test_op_state_v_first_final_state[cutile-torch.bfloat16-1-128-2-32-48]": 0.5838789350002571,
+"tests/suites/fla/test_linear_attention_gdn_fused_recurrent.py::Test_FLA_LinearAttentionGdnFusedRecurrent::test_op_state_v_first_final_state[cutile-torch.bfloat16-2-64-4-64-64]": 0.5329798729999311,
+"tests/suites/fla/test_linear_attention_gdn_fused_recurrent.py::Test_FLA_LinearAttentionGdnFusedRecurrent::test_op_state_v_first_final_state[cutile-torch.float32-1-128-2-32-48]": 0.5098670449999645,
+"tests/suites/fla/test_linear_attention_gdn_fused_recurrent.py::Test_FLA_LinearAttentionGdnFusedRecurrent::test_op_state_v_first_final_state[cutile-torch.float32-2-64-4-64-64]": 0.5497107890000734,
+"tests/suites/fla/test_linear_attention_gdn_fused_recurrent.py::Test_FLA_LinearAttentionGdnFusedRecurrent::test_op_vector_beta[cutile-torch.bfloat16-1-128-2-32-48]": 5.243354100000033,
+"tests/suites/fla/test_linear_attention_gdn_fused_recurrent.py::Test_FLA_LinearAttentionGdnFusedRecurrent::test_op_vector_beta[cutile-torch.bfloat16-2-64-4-64-64]": 5.648565701000052,
+"tests/suites/fla/test_linear_attention_gdn_fused_recurrent.py::Test_FLA_LinearAttentionGdnFusedRecurrent::test_op_vector_beta[cutile-torch.float32-1-128-2-32-48]": 3.756635664999976,
+"tests/suites/fla/test_linear_attention_gdn_fused_recurrent.py::Test_FLA_LinearAttentionGdnFusedRecurrent::test_op_vector_beta[cutile-torch.float32-2-64-4-64-64]": 4.310000058000014,
+"tests/suites/fla/test_linear_attention_gdn_gate.py::Test_FLA_LinearAttentionGdnGate::test_op_bwd[cutile]": 0.3152495720000843,
+"tests/suites/fla/test_linear_attention_gdn_gate.py::Test_FLA_LinearAttentionGdnGate::test_op_chunk_cumsum_aligned_and_tail[cutile-128-16]": 0.7745742280001195,
+"tests/suites/fla/test_linear_attention_gdn_gate.py::Test_FLA_LinearAttentionGdnGate::test_op_chunk_cumsum_aligned_and_tail[cutile-128-8]": 0.6515547120000065,
+"tests/suites/fla/test_linear_attention_gdn_gate.py::Test_FLA_LinearAttentionGdnGate::test_op_chunk_cumsum_aligned_and_tail[cutile-16-16]": 0.42372646500029987,
+"tests/suites/fla/test_linear_attention_gdn_gate.py::Test_FLA_LinearAttentionGdnGate::test_op_chunk_cumsum_aligned_and_tail[cutile-16-8]": 0.40973375100043086,
+"tests/suites/fla/test_linear_attention_gdn_gate.py::Test_FLA_LinearAttentionGdnGate::test_op_chunk_cumsum_aligned_and_tail[cutile-64-16]": 0.4946566939997865,
+"tests/suites/fla/test_linear_attention_gdn_gate.py::Test_FLA_LinearAttentionGdnGate::test_op_chunk_cumsum_aligned_and_tail[cutile-64-8]": 0.6137029819999498,
+"tests/suites/fla/test_linear_attention_gdn_gate.py::Test_FLA_LinearAttentionGdnGate::test_op_chunk_cumsum_output_dtype[cutile-torch.bfloat16]": 0.24401862000001984,
+"tests/suites/fla/test_linear_attention_gdn_gate.py::Test_FLA_LinearAttentionGdnGate::test_op_chunk_cumsum_output_dtype[cutile-torch.float16]": 0.24820468699999765,
+"tests/suites/fla/test_linear_attention_gdn_gate.py::Test_FLA_LinearAttentionGdnGate::test_op_chunk_cumsum_partial_chunk[cutile-100-32]": 0.27580879299989647,
+"tests/suites/fla/test_linear_attention_gdn_gate.py::Test_FLA_LinearAttentionGdnGate::test_op_chunk_cumsum_partial_chunk[cutile-128-64]": 0.288126684999952,
+"tests/suites/fla/test_linear_attention_gdn_gate.py::Test_FLA_LinearAttentionGdnGate::test_op_chunk_cumsum_partial_chunk[cutile-37-16]": 0.2664040639999712,
+"tests/suites/fla/test_linear_attention_gdn_gate.py::Test_FLA_LinearAttentionGdnGate::test_op_chunk_cumsum_scale_and_no_bias[cutile]": 0.37057350300005965,
+"tests/suites/fla/test_linear_attention_gdn_gate.py::Test_FLA_LinearAttentionGdnGate::test_op_chunk_cumsum_scale_bias[cutile]": 0.5911443110003347,
+"tests/suites/fla/test_linear_attention_gdn_gate.py::Test_FLA_LinearAttentionGdnGate::test_op_chunk_cumsum_varlen[cutile]": 0.4347466380002061,
+"tests/suites/fla/test_linear_attention_gdn_gate.py::Test_FLA_LinearAttentionGdnGate::test_op_chunk_cumsum_varlen_uneven[cutile-16]": 0.3342879350000203,
+"tests/suites/fla/test_linear_attention_gdn_gate.py::Test_FLA_LinearAttentionGdnGate::test_op_chunk_cumsum_varlen_uneven[cutile-32]": 0.28176935800001957,
+"tests/suites/fla/test_linear_attention_gdn_gate.py::Test_FLA_LinearAttentionGdnGate::test_op_fused_fwd[cutile]": 0.3188191399997322,
+"tests/suites/fla/test_linear_attention_gdn_gate.py::Test_FLA_LinearAttentionGdnGate::test_op_fwd_no_bias_dtypes[cutile-torch.bfloat16]": 0.2997982299998512,
+"tests/suites/fla/test_linear_attention_gdn_gate.py::Test_FLA_LinearAttentionGdnGate::test_op_fwd_no_bias_dtypes[cutile-torch.float16]": 0.2965928679998342,
+"tests/suites/fla/test_linear_attention_gdn_gate.py::Test_FLA_LinearAttentionGdnGate::test_op_fwd_no_bias_dtypes[cutile-torch.float32]": 0.3129334640000252,
+"tests/suites/fla/test_linear_attention_gdn_gate.py::Test_FLA_LinearAttentionGdnGate::test_op_fwd_softplus_saturation[cutile]": 0.26296377000016946,
+"tests/suites/fla/test_linear_attention_kda_chunk_intra.py::Test_FLA_LinearAttentionKdaChunkIntra::test_op_chunk_kda_bwd_intra[cutile]": 1.4721420690000286,
+"tests/suites/fla/test_linear_attention_kda_chunk_intra.py::Test_FLA_LinearAttentionKdaChunkIntra::test_op_chunk_kda_bwd_intra_accumulates[cutile-False]": 0.15058149399999365,
+"tests/suites/fla/test_linear_attention_kda_chunk_intra.py::Test_FLA_LinearAttentionKdaChunkIntra::test_op_chunk_kda_bwd_intra_accumulates[cutile-True]": 1.5029649140000743,
+"tests/suites/fla/test_linear_attention_kda_chunk_intra.py::Test_FLA_LinearAttentionKdaChunkIntra::test_op_chunk_kda_fwd_intra[cutile]": 8.18231429299999,
+"tests/suites/fla/test_linear_attention_kda_chunk_intra.py::Test_FLA_LinearAttentionKdaChunkIntra::test_op_chunk_kda_fwd_intra_chunk_size[cutile-32]": 5.869539911999993,
+"tests/suites/fla/test_linear_attention_kda_chunk_intra.py::Test_FLA_LinearAttentionKdaChunkIntra::test_op_chunk_kda_fwd_intra_chunk_size[cutile-64]": 0.16554059200001348,
+"tests/suites/fla/test_linear_attention_kda_chunk_intra.py::Test_FLA_LinearAttentionKdaChunkIntra::test_op_chunk_kda_fwd_intra_disable_recompute_qg[cutile]": 8.196897775000025,
+"tests/suites/fla/test_linear_attention_kda_chunk_intra.py::Test_FLA_LinearAttentionKdaChunkIntra::test_op_chunk_kda_fwd_intra_grouped_query[cutile-1-4]": 7.455797495999946,
+"tests/suites/fla/test_linear_attention_kda_chunk_intra.py::Test_FLA_LinearAttentionKdaChunkIntra::test_op_chunk_kda_fwd_intra_grouped_query[cutile-2-4]": 7.5486516439999605,
+"tests/suites/fla/test_linear_attention_kda_chunk_intra.py::Test_FLA_LinearAttentionKdaChunkIntra::test_op_chunk_kda_fwd_intra_invalid_chunk_size[cutile-128]": 0.10067061600000216,
+"tests/suites/fla/test_linear_attention_kda_chunk_intra.py::Test_FLA_LinearAttentionKdaChunkIntra::test_op_chunk_kda_fwd_intra_invalid_chunk_size[cutile-16]": 0.13207642200001146,
+"tests/suites/fla/test_linear_attention_kda_chunk_intra.py::Test_FLA_LinearAttentionKdaChunkIntra::test_op_chunk_kda_fwd_intra_partial_chunk[cutile-160]": 0.946561243000076,
+"tests/suites/fla/test_linear_attention_kda_chunk_intra.py::Test_FLA_LinearAttentionKdaChunkIntra::test_op_chunk_kda_fwd_intra_partial_chunk[cutile-96]": 1.0064704879999908,
+"tests/suites/fla/test_linear_attention_kda_chunk_intra.py::Test_FLA_LinearAttentionKdaChunkIntra::test_op_chunk_kda_fwd_intra_safe_gate[cutile-False]": 0.15447058299997707,
+"tests/suites/fla/test_linear_attention_kda_chunk_intra.py::Test_FLA_LinearAttentionKdaChunkIntra::test_op_chunk_kda_fwd_intra_safe_gate[cutile-True]": 0.1682771330000037,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op[cutile-torch.bfloat16-1-128-2-128-128]": 4.018252953000001,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op[cutile-torch.bfloat16-1-128-2-64-32]": 2.2763118160000317,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op[cutile-torch.bfloat16-1-128-8-32-32]": 2.0820475290000218,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op[cutile-torch.bfloat16-1-64-2-32-32]": 2.0591273969999975,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op[cutile-torch.bfloat16-2-128-2-32-48]": 1.45198550300006,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op[cutile-torch.bfloat16-2-256-4-32-64]": 1.4830402029999732,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op[cutile-torch.float32-1-128-2-128-128]": 26.188305547000027,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op[cutile-torch.float32-1-128-2-64-32]": 3.3964239309999584,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op[cutile-torch.float32-1-128-8-32-32]": 1.9451792059999775,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op[cutile-torch.float32-1-64-2-32-32]": 1.758455932000004,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op[cutile-torch.float32-2-128-2-32-48]": 2.684603874000004,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op[cutile-torch.float32-2-256-4-32-64]": 2.865338013999974,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op_backward[cutile-1-128-8-32-32]": 20.98161673900006,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op_backward[cutile-1-64-2-32-32]": 21.47711170900004,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op_backward[cutile-2-256-4-32-32]": 21.959941680000043,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op_backward_lowprec[cutile-torch.bfloat16-1-128-8-32-32]": 15.14282520100005,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op_backward_lowprec[cutile-torch.bfloat16-1-64-2-32-32]": 6.980822245999889,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op_backward_lowprec[cutile-torch.bfloat16-2-256-4-32-32]": 14.89744815500012,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op_bf16_chunk_route_backward[cutile-linear_attention_mamba2_fused_chunk-1-128-2-128-128]": 46.36000581600001,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op_bf16_chunk_route_backward[cutile-linear_attention_mamba2_fused_chunk-1-128-2-256-256]": 29.17265586999997,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op_bf16_chunk_route_backward[cutile-linear_attention_mamba2_fused_chunk-1-128-2-64-32]": 20.408999333999986,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op_bf16_chunk_route_backward[cutile-linear_attention_mamba2_fused_chunk-1-128-2-64-64]": 13.264733704999912,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op_bf16_chunk_route_backward[cutile-linear_attention_mamba2_fused_chunk-2-160-2-64-96]": 49.12263135400008,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op_bf16_chunk_route_backward[cutile-linear_attention_mamba2_fused_recurrent-1-128-2-128-128]": 0.19741674500005502,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op_bf16_chunk_route_backward[cutile-linear_attention_mamba2_fused_recurrent-1-128-2-256-256]": 0.27230644600001597,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op_bf16_chunk_route_backward[cutile-linear_attention_mamba2_fused_recurrent-1-128-2-64-32]": 0.2264335419999952,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op_bf16_chunk_route_backward[cutile-linear_attention_mamba2_fused_recurrent-1-128-2-64-64]": 0.213878703999967,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op_bf16_chunk_route_backward[cutile-linear_attention_mamba2_fused_recurrent-2-160-2-64-96]": 0.22455531399998563,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op_default_scale[cutile-1-64-2-32-32]": 0.14555081499997868,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op_default_scale[cutile-2-128-4-32-64]": 16.73495523700001,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op_initial_and_final_state[cutile-1-64-2-32-32]": 8.089743068999951,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op_initial_and_final_state[cutile-2-128-4-32-32]": 8.069655745000205,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op_initial_state[cutile-torch.bfloat16-1-64-2-32-32]": 8.871751922000044,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op_initial_state[cutile-torch.bfloat16-2-128-4-32-64]": 11.426259431999938,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op_initial_state[cutile-torch.float32-1-64-2-32-32]": 8.009587054999997,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op_initial_state[cutile-torch.float32-2-128-4-32-64]": 25.21677432599995,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op_long_sequence[cutile-torch.bfloat16-1-512-2-64-64]": 10.351912884000171,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op_long_sequence[cutile-torch.bfloat16-2-257-2-128-128]": 24.128057497999976,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op_long_sequence[cutile-torch.float32-1-512-2-64-64]": 65.10470901100001,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op_long_sequence[cutile-torch.float32-2-257-2-128-128]": 148.09141901099997,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op_output_final_state[cutile-1-64-2-32-32]": 8.040636924999944,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op_output_final_state[cutile-2-128-4-32-64]": 24.741979740000033,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op_output_final_state[cutile-2-80-2-32-32]": 0.5245424989999492,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op_partial_tail_chunk[cutile-torch.bfloat16-1-48-2-32-32]": 8.423042495999994,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op_partial_tail_chunk[cutile-torch.bfloat16-1-96-4-32-48]": 9.10906409000006,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op_partial_tail_chunk[cutile-torch.bfloat16-2-160-2-32-64]": 9.18567544699988,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op_partial_tail_chunk[cutile-torch.bfloat16-2-80-2-32-32]": 0.5180133899999646,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op_partial_tail_chunk[cutile-torch.float32-1-48-2-32-32]": 0.5095918119999396,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op_partial_tail_chunk[cutile-torch.float32-1-96-4-32-48]": 15.98746432200005,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op_partial_tail_chunk[cutile-torch.float32-2-160-2-32-64]": 16.17607287399983,
+"tests/suites/fla/test_linear_attention_mamba2_fused_chunk.py::Test_FLA_LinearAttentionMamba2FusedChunk::test_op_partial_tail_chunk[cutile-torch.float32-2-80-2-32-32]": 0.5903964389998464,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op[cutile-torch.bfloat16-1-256-2-64-32]": 0.525742308999952,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op[cutile-torch.bfloat16-1-64-2-32-32]": 0.14371063399971717,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op[cutile-torch.bfloat16-2-128-2-48-48]": 10.144061231999558,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op[cutile-torch.bfloat16-2-128-4-64-64]": 10.300636581000163,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op[cutile-torch.bfloat16-2-256-2-32-64]": 0.5119522800000595,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op[cutile-torch.float32-1-256-2-64-32]": 1.0884059390002676,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op[cutile-torch.float32-1-64-2-32-32]": 0.4717599529999461,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op[cutile-torch.float32-2-128-2-48-48]": 1.0444917750000968,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op[cutile-torch.float32-2-128-4-64-64]": 1.0939328259999002,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op[cutile-torch.float32-2-256-2-32-64]": 0.932943780000187,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op_backward[cutile-1-256-2-64-32]": 1.9419835819996933,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op_backward[cutile-1-64-2-32-32]": 0.7353333910000401,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op_backward[cutile-2-128-2-48-48]": 2.4664006999998946,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op_backward[cutile-2-128-4-64-64]": 2.478996862999793,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op_backward[cutile-2-256-2-32-64]": 2.2447670379999636,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op_backward_reverse[cutile-1-256-2-64-32]": 1.8825793930000145,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op_backward_reverse[cutile-1-64-2-32-32]": 0.7235485069998049,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op_backward_reverse[cutile-2-128-2-48-48]": 2.427886447000219,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op_backward_reverse[cutile-2-128-4-64-64]": 2.6077887230001124,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op_backward_reverse[cutile-2-256-2-32-64]": 1.8575733440000022,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op_cu_seqlens_varlen[cutile-[128]]": 0.14093945799993435,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op_cu_seqlens_varlen[cutile-[40, 88, 32]]": 0.16905470100005004,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op_cu_seqlens_varlen[cutile-[64, 64]]": 0.4691988429999583,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op_initial_state[cutile-torch.bfloat16-1-256-2-64-32]": 0.4839816130001964,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op_initial_state[cutile-torch.bfloat16-1-64-2-32-32]": 0.48564923299977636,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op_initial_state[cutile-torch.bfloat16-2-128-2-48-48]": 0.6238976669999374,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op_initial_state[cutile-torch.bfloat16-2-128-4-64-64]": 0.6323270279999633,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op_initial_state[cutile-torch.bfloat16-2-256-2-32-64]": 0.44257948499966915,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op_initial_state[cutile-torch.float32-1-256-2-64-32]": 0.49651546799987045,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op_initial_state[cutile-torch.float32-1-64-2-32-32]": 0.5356150330001128,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op_initial_state[cutile-torch.float32-2-128-2-48-48]": 0.6290048759999536,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op_initial_state[cutile-torch.float32-2-128-4-64-64]": 0.6464573690000179,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op_initial_state[cutile-torch.float32-2-256-2-32-64]": 0.4633141870001509,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op_multi_block_kv[cutile-128-64]": 1.0364323559997501,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op_multi_block_kv[cutile-64-128]": 1.0781121580000672,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op_multi_block_kv[cutile-96-96]": 1.0533236709998164,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op_output_final_state[cutile-1-256-2-64-32]": 0.5312131340001542,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op_output_final_state[cutile-1-64-2-32-32]": 0.5681813950000105,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op_output_final_state[cutile-2-128-2-48-48]": 1.5784097290002137,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op_output_final_state[cutile-2-128-4-64-64]": 1.5986658709998665,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op_output_final_state[cutile-2-256-2-32-64]": 0.4782665810000708,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op_reverse[cutile-1-256-2-64-32]": 1.2676276409997627,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op_reverse[cutile-1-64-2-32-32]": 0.4336201810001512,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op_reverse[cutile-2-128-2-48-48]": 1.0807416459999786,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op_reverse[cutile-2-128-4-64-64]": 1.0765481060000184,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op_reverse[cutile-2-256-2-32-64]": 1.1548663160001524,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op_scale_none_default[cutile-1-256-2-64-32]": 0.1749561840001661,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op_scale_none_default[cutile-1-64-2-32-32]": 0.15639956299969526,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op_scale_none_default[cutile-2-128-2-48-48]": 0.1355603899999096,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op_scale_none_default[cutile-2-128-4-64-64]": 0.16124205200003416,
+"tests/suites/fla/test_linear_attention_mamba2_fused_recurrent.py::Test_FLA_LinearAttentionMamba2FusedRecurrent::test_op_scale_none_default[cutile-2-256-2-32-64]": 0.18016405500020483,
+"tests/suites/flashinfer/test_flashinfer_attention.py::Test_FlashInfer_DecodePaged::test_op[cutile-4-1024-128-float16]": 5.344020922000027,
+"tests/suites/flashinfer/test_flashinfer_attention.py::Test_FlashInfer_MLADecodePaged::test_op[cutile-32-4-1024-128-float16]": 0.0013910090000308628,
+"tests/suites/flashinfer/test_flashinfer_attention.py::Test_FlashInfer_PrefillPaged::test_op[cutile-4-1024-128-128-float16]": 16.115554188000033,
+"tests/suites/flashinfer/test_flashinfer_attention.py::Test_FlashInfer_PrefillPaged::test_op[cutile-4-1024-192-128-float16]": 21.225023065000073,
+"tests/suites/flashinfer/test_flashinfer_attention.py::Test_FlashInfer_PrefillRagged::test_op[cutile-4-1024-128-float16]": 89.43321245300001,
+"tests/suites/flashinfer/test_flashinfer_attention.py::Test_FlashInfer_PrefillRagged::test_op[cutile-4-1024-192-float16]": 122.74295936399994,
+"tests/suites/flashinfer/test_flashinfer_gemm_alpha_beta.py::Test_FlashInfer_Matmul_Alpha_Beta::test_op[1.0-0.0-False-True-torch.bfloat16-torch.bfloat16-4096-4096-4096-cutile]": 38.972342720000256,
+"tests/suites/flashinfer/test_flashinfer_gemm_alpha_beta.py::Test_FlashInfer_Matmul_Alpha_Beta::test_op[1.0-0.0-False-True-torch.bfloat16-torch.bfloat16-8192-8192-8192-cutile]": 3.2084606180003448,
+"tests/suites/flashinfer/test_flashinfer_gemm_alpha_beta.py::Test_FlashInfer_Matmul_Alpha_Beta::test_op[1.0-0.0-False-True-torch.float16-torch.float16-4096-4096-4096-cutile]": 35.786557398000014,
+"tests/suites/flashinfer/test_flashinfer_gemm_alpha_beta.py::Test_FlashInfer_Matmul_Alpha_Beta::test_op[1.0-0.0-False-True-torch.float16-torch.float16-8192-8192-8192-cutile]": 3.337736715999995,
+"tests/suites/flashinfer/test_flashinfer_gemm_alpha_beta.py::Test_FlashInfer_Matmul_Alpha_Beta::test_op[1.0-0.0-False-True-torch.float8_e4m3fn-torch.bfloat16-4096-4096-4096-cutile]": 29.63681055500024,
+"tests/suites/flashinfer/test_flashinfer_gemm_alpha_beta.py::Test_FlashInfer_Matmul_Alpha_Beta::test_op[1.0-0.0-False-True-torch.float8_e4m3fn-torch.bfloat16-8192-8192-8192-cutile]": 2.000757379000106,
+"tests/suites/flashinfer/test_flashinfer_gemm_alpha_beta.py::Test_FlashInfer_Matmul_Alpha_Beta::test_op[1.5-2.0-False-True-torch.bfloat16-torch.bfloat16-4096-4096-4096-cutile]": 0.017345672000146806,
+"tests/suites/flashinfer/test_flashinfer_gemm_alpha_beta.py::Test_FlashInfer_Matmul_Alpha_Beta::test_op[1.5-2.0-False-True-torch.bfloat16-torch.bfloat16-8192-8192-8192-cutile]": 0.049727420999943206,
+"tests/suites/flashinfer/test_flashinfer_gemm_alpha_beta.py::Test_FlashInfer_Matmul_Alpha_Beta::test_op[1.5-2.0-False-True-torch.float16-torch.float16-4096-4096-4096-cutile]": 0.015060014999789928,
+"tests/suites/flashinfer/test_flashinfer_gemm_alpha_beta.py::Test_FlashInfer_Matmul_Alpha_Beta::test_op[1.5-2.0-False-True-torch.float16-torch.float16-8192-8192-8192-cutile]": 0.054092012000182876,
+"tests/suites/flashinfer/test_flashinfer_gemm_alpha_beta.py::Test_FlashInfer_Matmul_Alpha_Beta::test_op[1.5-2.0-False-True-torch.float8_e4m3fn-torch.bfloat16-4096-4096-4096-cutile]": 0.014748969999800465,
+"tests/suites/flashinfer/test_flashinfer_gemm_alpha_beta.py::Test_FlashInfer_Matmul_Alpha_Beta::test_op[1.5-2.0-False-True-torch.float8_e4m3fn-torch.bfloat16-8192-8192-8192-cutile]": 0.04840643700003966,
+"tests/suites/flashinfer/test_flashinfer_masked_bmm.py::Test_FlashInfer_MaskedBMM::test_op[cutile-False-False-torch.float16-6-4096-512-4096-7168]": 40.79217134700002,
+"tests/suites/flashinfer/test_flashinfer_masked_bmm.py::Test_FlashInfer_MaskedBMM::test_op[cutile-False-False-torch.float16-6-4096-512-7168-2048]": 1.3455189250000785,
+"tests/suites/flashinfer/test_flashinfer_masked_bmm.py::Test_FlashInfer_MaskedBMM::test_op[cutile-False-True-torch.float16-6-4096-512-4096-7168]": 41.77409219299989,
+"tests/suites/flashinfer/test_flashinfer_masked_bmm.py::Test_FlashInfer_MaskedBMM::test_op[cutile-False-True-torch.float16-6-4096-512-7168-2048]": 1.429118408000022,
+"tests/suites/flashinfer/test_flashinfer_masked_bmm.py::Test_FlashInfer_MaskedBMM::test_op[cutile-True-False-torch.float16-6-4096-512-4096-7168]": 44.23644056599983,
+"tests/suites/flashinfer/test_flashinfer_masked_bmm.py::Test_FlashInfer_MaskedBMM::test_op[cutile-True-False-torch.float16-6-4096-512-7168-2048]": 1.4866250239999772,
+"tests/suites/flashinfer/test_flashinfer_masked_bmm.py::Test_FlashInfer_MaskedBMM::test_op[cutile-True-True-torch.float16-6-4096-512-4096-7168]": 42.05120836800006,
+"tests/suites/flashinfer/test_flashinfer_masked_bmm.py::Test_FlashInfer_MaskedBMM::test_op[cutile-True-True-torch.float16-6-4096-512-7168-2048]": 1.409522908000099,
+"tests/suites/flashinfer/test_flashinfer_ragged_block_scaled_bmm.py::Test_FlashInfer_RaggedBlockScaledBMM::test_op[False-True-torch.float8_e4m3fn-torch.bfloat16-2048-2048-128-16-cutile]": 4.92385261000004,
+"tests/suites/flashinfer/test_flashinfer_ragged_block_scaled_bmm.py::Test_FlashInfer_RaggedBlockScaledBMM::test_op[False-True-torch.float8_e4m3fn-torch.bfloat16-2048-2048-128-4-cutile]": 4.942956344999857,
+"tests/suites/flashinfer/test_flashinfer_ragged_block_scaled_bmm.py::Test_FlashInfer_RaggedBlockScaledBMM::test_op[False-True-torch.float8_e4m3fn-torch.bfloat16-2048-2048-512-16-cutile]": 0.5535478470003454,
+"tests/suites/flashinfer/test_flashinfer_ragged_block_scaled_bmm.py::Test_FlashInfer_RaggedBlockScaledBMM::test_op[False-True-torch.float8_e4m3fn-torch.bfloat16-2048-2048-512-4-cutile]": 0.591210947000036,
+"tests/suites/flashinfer/test_flashinfer_ragged_block_scaled_bmm.py::Test_FlashInfer_RaggedBlockScaledBMM::test_op[False-True-torch.float8_e4m3fn-torch.bfloat16-4096-4096-128-16-cutile]": 0.6228719150001325,
+"tests/suites/flashinfer/test_flashinfer_ragged_block_scaled_bmm.py::Test_FlashInfer_RaggedBlockScaledBMM::test_op[False-True-torch.float8_e4m3fn-torch.bfloat16-4096-4096-128-4-cutile]": 0.5361603539997759,
+"tests/suites/flashinfer/test_flashinfer_ragged_block_scaled_bmm.py::Test_FlashInfer_RaggedBlockScaledBMM::test_op[False-True-torch.float8_e4m3fn-torch.bfloat16-4096-4096-512-16-cutile]": 0.6422235860000001,
+"tests/suites/flashinfer/test_flashinfer_ragged_block_scaled_bmm.py::Test_FlashInfer_RaggedBlockScaledBMM::test_op[False-True-torch.float8_e4m3fn-torch.bfloat16-4096-4096-512-4-cutile]": 0.5760633869999765,
+"tests/suites/flashinfer/test_flashinfer_ragged_bmm.py::Test_FlashInfer_RaggedBMM::test_op_dtypes[torch.bfloat16-4-256-256-256-cutile]": 0.004192931000261524,
+"tests/suites/flashinfer/test_flashinfer_ragged_bmm.py::Test_FlashInfer_RaggedBMM::test_op_dtypes[torch.float8_e4m3fn-4-256-256-256-cutile]": 14.239144988999897,
+"tests/suites/flashinfer/test_flashinfer_ragged_bmm.py::Test_FlashInfer_RaggedBMM::test_op_num_groups[1-256-256-256-torch.bfloat16-cutile]": 0.7584671029999299,
+"tests/suites/flashinfer/test_flashinfer_ragged_bmm.py::Test_FlashInfer_RaggedBMM::test_op_num_groups[4-256-256-256-torch.bfloat16-cutile]": 0.004079234999835535,
+"tests/suites/flashinfer/test_flashinfer_ragged_bmm.py::Test_FlashInfer_RaggedBMM::test_op_num_groups[8-256-256-256-torch.bfloat16-cutile]": 0.5822841349997816,
+"tests/suites/flashinfer/test_flashinfer_ragged_bmm.py::Test_FlashInfer_RaggedBMM::test_op_shapes[2-128-128-128-torch.bfloat16-False-False-cutile]": 0.0013339019997147261,
+"tests/suites/flashinfer/test_flashinfer_ragged_bmm.py::Test_FlashInfer_RaggedBMM::test_op_shapes[2-128-128-128-torch.bfloat16-True-False-cutile]": 0.6428460599997834,
+"tests/suites/flashinfer/test_flashinfer_ragged_bmm.py::Test_FlashInfer_RaggedBMM::test_op_shapes[4-256-256-256-torch.bfloat16-False-False-cutile]": 0.0011807379999027035,
+"tests/suites/flashinfer/test_flashinfer_ragged_bmm.py::Test_FlashInfer_RaggedBMM::test_op_shapes[4-256-256-256-torch.bfloat16-True-False-cutile]": 30.004536274999964,
+"tests/suites/flashinfer/test_flashinfer_ragged_bmm.py::Test_FlashInfer_RaggedBMM::test_op_shapes[4-512-512-512-torch.bfloat16-False-False-cutile]": 0.0012539550000383315,
+"tests/suites/flashinfer/test_flashinfer_ragged_bmm.py::Test_FlashInfer_RaggedBMM::test_op_shapes[4-512-512-512-torch.bfloat16-True-False-cutile]": 0.57929392799997,
+"tests/suites/flashinfer/test_flashinfer_ragged_bmm.py::Test_FlashInfer_RaggedBMM::test_op_transpose[False-False-4-256-256-256-torch.bfloat16-cutile]": 0.0013087449997328804,
+"tests/suites/flashinfer/test_flashinfer_ragged_bmm.py::Test_FlashInfer_RaggedBMM::test_op_transpose[False-True-4-256-256-256-torch.bfloat16-cutile]": 0.0013690199998563912,
+"tests/suites/flashinfer/test_flashinfer_ragged_bmm.py::Test_FlashInfer_RaggedBMM::test_op_transpose[True-False-4-256-256-256-torch.bfloat16-cutile]": 0.0044800979999308765,
+"tests/suites/flashinfer/test_flashinfer_ragged_bmm.py::Test_FlashInfer_RaggedBMM::test_op_transpose[True-True-4-256-256-256-torch.bfloat16-cutile]": 0.0011705309996159485,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-False-torch.float8_e4m3fn-128-2048-512]": 0.11034274700000424,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-False-torch.float8_e4m3fn-128-2048-513]": 0.0028891069998735475,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-False-torch.float8_e4m3fn-16-2048-512]": 0.10360859600018557,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-False-torch.float8_e4m3fn-16-2048-513]": 0.0029761399998733395,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-False-torch.float8_e4m3fn-32-2048-512]": 0.1229420540000774,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-False-torch.float8_e4m3fn-32-2048-513]": 0.0035183600000436854,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-False-torch.float8_e4m3fn-64-2048-512]": 0.1207216210000297,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-False-torch.float8_e4m3fn-64-2048-513]": 0.0031250550000549993,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-False-torch.int8-128-2048-512]": 0.1036098760000641,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-False-torch.int8-128-2048-513]": 0.002425201000050947,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-False-torch.int8-16-2048-512]": 0.11015394299988657,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-False-torch.int8-16-2048-513]": 0.005505036999920776,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-False-torch.int8-32-2048-512]": 0.10732106600016778,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-False-torch.int8-32-2048-513]": 0.002574200999788445,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-False-torch.int8-64-2048-512]": 0.09592727599988393,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-False-torch.int8-64-2048-513]": 0.0023426439997820125,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-True-torch.float8_e4m3fn-128-2048-512]": 0.020865190999984407,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-True-torch.float8_e4m3fn-128-2048-513]": 0.0027870710000570398,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-True-torch.float8_e4m3fn-16-2048-512]": 0.023285949999944933,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-True-torch.float8_e4m3fn-16-2048-513]": 0.0023849999997764826,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-True-torch.float8_e4m3fn-32-2048-512]": 0.027796149000096193,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-True-torch.float8_e4m3fn-32-2048-513]": 0.002394859999867549,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-True-torch.float8_e4m3fn-64-2048-512]": 0.02018270700023095,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-True-torch.float8_e4m3fn-64-2048-513]": 0.003626979000046049,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-True-torch.int8-128-2048-512]": 0.021459098000150334,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-True-torch.int8-128-2048-513]": 0.002217267000105494,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-True-torch.int8-16-2048-512]": 0.023861297000166815,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-True-torch.int8-16-2048-513]": 0.0023021680001420464,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-True-torch.int8-32-2048-512]": 0.019362219999948138,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-True-torch.int8-32-2048-513]": 0.0023738419999972393,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-True-torch.int8-64-2048-512]": 0.02041662700003144,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-False-True-torch.int8-64-2048-513]": 0.002397996000127023,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-False-torch.float8_e4m3fn-128-2048-512]": 0.0011617650000061985,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-False-torch.float8_e4m3fn-128-2048-513]": 0.0012257870000667026,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-False-torch.float8_e4m3fn-16-2048-512]": 0.0011657729996841226,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-False-torch.float8_e4m3fn-16-2048-513]": 0.001122250999969765,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-False-torch.float8_e4m3fn-32-2048-512]": 0.0011140359999899374,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-False-torch.float8_e4m3fn-32-2048-513]": 0.0013792750000902743,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-False-torch.float8_e4m3fn-64-2048-512]": 0.0012076159998741787,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-False-torch.float8_e4m3fn-64-2048-513]": 0.00119668799993633,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-False-torch.int8-128-2048-512]": 0.0012005379996935517,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-False-torch.int8-128-2048-513]": 0.001189306000014767,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-False-torch.int8-16-2048-512]": 0.001154596000105812,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-False-torch.int8-16-2048-513]": 0.0014400430000023334,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-False-torch.int8-32-2048-512]": 0.0011640719999377325,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-False-torch.int8-32-2048-513]": 0.0012013719999686145,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-False-torch.int8-64-2048-512]": 0.001140569999733998,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-False-torch.int8-64-2048-513]": 0.0014305689999218885,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-True-torch.float8_e4m3fn-128-2048-512]": 0.0023039029997562466,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-True-torch.float8_e4m3fn-128-2048-513]": 0.0023424050002631702,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-True-torch.float8_e4m3fn-16-2048-512]": 0.0022835510001186776,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-True-torch.float8_e4m3fn-16-2048-513]": 0.0022786959998484235,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-True-torch.float8_e4m3fn-32-2048-512]": 0.0023236619999806862,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-True-torch.float8_e4m3fn-32-2048-513]": 0.002247633000024507,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-True-torch.float8_e4m3fn-64-2048-512]": 0.003025984000259996,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-True-torch.float8_e4m3fn-64-2048-513]": 0.0024293569999827014,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-True-torch.int8-128-2048-512]": 0.002371081999854141,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-True-torch.int8-128-2048-513]": 0.0023127990000375576,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-True-torch.int8-16-2048-512]": 0.0023653229998217284,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-True-torch.int8-16-2048-513]": 0.0021517800003039156,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-True-torch.int8-32-2048-512]": 0.0024369329998989997,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-True-torch.int8-32-2048-513]": 0.002247287000045617,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-True-torch.int8-64-2048-512]": 0.0023183170001175313,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-False-True-True-torch.int8-64-2048-513]": 0.00228201100003389,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-False-torch.float8_e4m3fn-128-2048-512]": 0.0013515840000764001,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-False-torch.float8_e4m3fn-128-2048-513]": 0.001376151000158643,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-False-torch.float8_e4m3fn-16-2048-512]": 0.0015879519999089098,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-False-torch.float8_e4m3fn-16-2048-513]": 0.0014182109998728265,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-False-torch.float8_e4m3fn-32-2048-512]": 0.001498563999803082,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-False-torch.float8_e4m3fn-32-2048-513]": 0.001332359000116412,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-False-torch.float8_e4m3fn-64-2048-512]": 0.0013358000001062464,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-False-torch.float8_e4m3fn-64-2048-513]": 0.0014056140000775486,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-False-torch.int8-128-2048-512]": 0.001859292999824902,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-False-torch.int8-128-2048-513]": 0.0019642049999220035,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-False-torch.int8-16-2048-512]": 0.0011809250001988403,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-False-torch.int8-16-2048-513]": 0.0011147889999847393,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-False-torch.int8-32-2048-512]": 0.0011643919999642094,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-False-torch.int8-32-2048-513]": 0.0017828500001542125,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-False-torch.int8-64-2048-512]": 0.0017048469997007487,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-False-torch.int8-64-2048-513]": 0.001787255999943227,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-True-torch.float8_e4m3fn-128-2048-512]": 0.12452199700010169,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-True-torch.float8_e4m3fn-128-2048-513]": 0.0033103150001352333,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-True-torch.float8_e4m3fn-16-2048-512]": 0.1397945860001073,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-True-torch.float8_e4m3fn-16-2048-513]": 0.002967320999914591,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-True-torch.float8_e4m3fn-32-2048-512]": 0.13199732199973369,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-True-torch.float8_e4m3fn-32-2048-513]": 0.0030657830000109243,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-True-torch.float8_e4m3fn-64-2048-512]": 0.12735872600023868,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-True-torch.float8_e4m3fn-64-2048-513]": 0.0030422229999658157,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-True-torch.int8-128-2048-512]": 0.13152900499994757,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-True-torch.int8-128-2048-513]": 0.003119228000059593,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-True-torch.int8-16-2048-512]": 0.12335155799996755,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-True-torch.int8-16-2048-513]": 0.0028646069997648738,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-True-torch.int8-32-2048-512]": 0.13055650499995863,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-True-torch.int8-32-2048-513]": 0.002764615999922171,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-True-torch.int8-64-2048-512]": 0.1234501530000216,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-False-True-torch.int8-64-2048-513]": 0.00304450699991321,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-False-torch.float8_e4m3fn-128-2048-512]": 0.0011330909997013805,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-False-torch.float8_e4m3fn-128-2048-513]": 0.0011388899997655244,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-False-torch.float8_e4m3fn-16-2048-512]": 0.0032639839998864772,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-False-torch.float8_e4m3fn-16-2048-513]": 0.001457354000194755,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-False-torch.float8_e4m3fn-32-2048-512]": 0.0014119019999725424,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-False-torch.float8_e4m3fn-32-2048-513]": 0.0013958120002826035,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-False-torch.float8_e4m3fn-64-2048-512]": 0.0012092319998373569,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-False-torch.float8_e4m3fn-64-2048-513]": 0.001154950000000099,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-False-torch.int8-128-2048-512]": 0.0011516640004174405,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-False-torch.int8-128-2048-513]": 0.0011679029998958868,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-False-torch.int8-16-2048-512]": 0.0011363219996383123,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-False-torch.int8-16-2048-513]": 0.0011258979996000562,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-False-torch.int8-32-2048-512]": 0.0012104770000860299,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-False-torch.int8-32-2048-513]": 0.0011786920001668477,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-False-torch.int8-64-2048-512]": 0.0011834680003630638,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-False-torch.int8-64-2048-513]": 0.0011974030001056235,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-True-torch.float8_e4m3fn-128-2048-512]": 0.002488536999862845,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-True-torch.float8_e4m3fn-128-2048-513]": 0.0024616329997115827,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-True-torch.float8_e4m3fn-16-2048-512]": 0.0025273550002111733,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-True-torch.float8_e4m3fn-16-2048-513]": 0.0024565160001657205,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-True-torch.float8_e4m3fn-32-2048-512]": 0.002404095000201778,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-True-torch.float8_e4m3fn-32-2048-513]": 0.0024480070001118293,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-True-torch.float8_e4m3fn-64-2048-512]": 0.0026090199999089236,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-True-torch.float8_e4m3fn-64-2048-513]": 0.002349202999539557,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-True-torch.int8-128-2048-512]": 0.0023947509998833993,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-True-torch.int8-128-2048-513]": 0.0023767470001985203,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-True-torch.int8-16-2048-512]": 0.002602911999929347,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-True-torch.int8-16-2048-513]": 0.002380234999691311,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-True-torch.int8-32-2048-512]": 0.0030819059998066223,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-True-torch.int8-32-2048-513]": 0.002396606000047541,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-True-torch.int8-64-2048-512]": 0.0023744089999127027,
+"tests/suites/flashinfer/test_per_token_group_quant_8bit.py::Test_Per_Token_Group_Quant_8bit::test_op[cutile-True-True-True-torch.int8-64-2048-513]": 0.0023608199999216595,
+"tests/suites/flashinfer/test_rope_quantize_fp8.py::Test_FlashInfer_RopeQuantizeFp8::test_op[cutile-torch.float8_e4m3fn-torch.bfloat16-False-10000-4096-64-576-128-128]": 4.510740953999857,
+"tests/suites/flashinfer/test_rope_quantize_fp8.py::Test_FlashInfer_RopeQuantizeFp8::test_op[cutile-torch.float8_e4m3fn-torch.bfloat16-False-10000-4096-64-576-128-19]": 4.516317550999702,
+"tests/suites/flashinfer/test_rope_quantize_fp8.py::Test_FlashInfer_RopeQuantizeFp8::test_op[cutile-torch.float8_e4m3fn-torch.bfloat16-False-10000-4096-64-576-128-1]": 6.1258462620000955,
+"tests/suites/flashinfer/test_rope_quantize_fp8.py::Test_FlashInfer_RopeQuantizeFp8::test_op[cutile-torch.float8_e4m3fn-torch.float16-False-10000-4096-64-576-128-128]": 4.658140948999744,
+"tests/suites/flashinfer/test_rope_quantize_fp8.py::Test_FlashInfer_RopeQuantizeFp8::test_op[cutile-torch.float8_e4m3fn-torch.float16-False-10000-4096-64-576-128-19]": 4.293029967999928,
+"tests/suites/flashinfer/test_rope_quantize_fp8.py::Test_FlashInfer_RopeQuantizeFp8::test_op[cutile-torch.float8_e4m3fn-torch.float16-False-10000-4096-64-576-128-1]": 6.6383373490000395,
+"tests/suites/flashinfer/test_rope_quantize_fp8.py::Test_FlashInfer_RopeQuantizeFp8::test_op[cutile-torch.float8_e5m2-torch.bfloat16-False-10000-4096-64-576-128-128]": 4.416024342000355,
+"tests/suites/flashinfer/test_rope_quantize_fp8.py::Test_FlashInfer_RopeQuantizeFp8::test_op[cutile-torch.float8_e5m2-torch.bfloat16-False-10000-4096-64-576-128-19]": 4.340793846999986,
+"tests/suites/flashinfer/test_rope_quantize_fp8.py::Test_FlashInfer_RopeQuantizeFp8::test_op[cutile-torch.float8_e5m2-torch.bfloat16-False-10000-4096-64-576-128-1]": 6.20647692200032,
+"tests/suites/flashinfer/test_rope_quantize_fp8.py::Test_FlashInfer_RopeQuantizeFp8::test_op[cutile-torch.float8_e5m2-torch.float16-False-10000-4096-64-576-128-128]": 4.669715363000023,
+"tests/suites/flashinfer/test_rope_quantize_fp8.py::Test_FlashInfer_RopeQuantizeFp8::test_op[cutile-torch.float8_e5m2-torch.float16-False-10000-4096-64-576-128-19]": 4.564926207999861,
+"tests/suites/flashinfer/test_rope_quantize_fp8.py::Test_FlashInfer_RopeQuantizeFp8::test_op[cutile-torch.float8_e5m2-torch.float16-False-10000-4096-64-576-128-1]": 6.50004646299999,
+"tests/suites/liger/experimental/test_dpo_loss.py::Test_Liger_DpoLoss::test_op_backward[cutile-torch.bfloat16]": 0.110057543000039,
+"tests/suites/liger/experimental/test_dpo_loss.py::Test_Liger_DpoLoss::test_op_backward[cutile-torch.float32]": 0.11470815399979983,
+"tests/suites/liger/experimental/test_dpo_loss.py::Test_Liger_DpoLoss::test_op_bias[cutile]": 0.15113133899990316,
+"tests/suites/liger/experimental/test_dpo_loss.py::Test_Liger_DpoLoss::test_op_chunk_sizes[cutile-1-torch.bfloat16]": 0.19313505200011605,
+"tests/suites/liger/experimental/test_dpo_loss.py::Test_Liger_DpoLoss::test_op_chunk_sizes[cutile-1-torch.float32]": 0.144851043999779,
+"tests/suites/liger/experimental/test_dpo_loss.py::Test_Liger_DpoLoss::test_op_chunk_sizes[cutile-2-torch.bfloat16]": 0.11593722600014189,
+"tests/suites/liger/experimental/test_dpo_loss.py::Test_Liger_DpoLoss::test_op_chunk_sizes[cutile-2-torch.float32]": 0.1463774790001935,
+"tests/suites/liger/experimental/test_dpo_loss.py::Test_Liger_DpoLoss::test_op_chunk_sizes[cutile-3-torch.bfloat16]": 0.12510238799995932,
+"tests/suites/liger/experimental/test_dpo_loss.py::Test_Liger_DpoLoss::test_op_chunk_sizes[cutile-3-torch.float32]": 0.1215552660000867,
+"tests/suites/liger/experimental/test_dpo_loss.py::Test_Liger_DpoLoss::test_op_chunk_sizes[cutile-None-torch.bfloat16]": 0.117333022999901,
+"tests/suites/liger/experimental/test_dpo_loss.py::Test_Liger_DpoLoss::test_op_chunk_sizes[cutile-None-torch.float32]": 0.11768563400005405,
+"tests/suites/liger/experimental/test_dpo_loss.py::Test_Liger_DpoLoss::test_op_forward[cutile-2-8-64-128-torch.bfloat16]": 2.9555640089997723,
+"tests/suites/liger/experimental/test_dpo_loss.py::Test_Liger_DpoLoss::test_op_forward[cutile-2-8-64-128-torch.float16]": 2.9624801360000674,
+"tests/suites/liger/experimental/test_dpo_loss.py::Test_Liger_DpoLoss::test_op_forward[cutile-2-8-64-128-torch.float32]": 3.673262465999869,
+"tests/suites/liger/experimental/test_dpo_loss.py::Test_Liger_DpoLoss::test_op_forward[cutile-3-7-41-150-torch.float32]": 2.568899453000313,
+"tests/suites/liger/experimental/test_dpo_loss.py::Test_Liger_DpoLoss::test_op_forward[cutile-4-16-128-256-torch.float32]": 3.4585717570000725,
+"tests/suites/liger/experimental/test_dpo_loss.py::Test_Liger_DpoLoss::test_op_forward[cutile-4-47-31-123-torch.float32]": 3.5759993619997203,
+"tests/suites/liger/experimental/test_dpo_loss.py::Test_Liger_DpoLoss::test_op_nll_and_averaging[cutile-False]": 0.14807053399977121,
+"tests/suites/liger/experimental/test_dpo_loss.py::Test_Liger_DpoLoss::test_op_nll_and_averaging[cutile-True]": 0.14351908900016497,
+"tests/suites/liger/experimental/test_dpo_loss.py::Test_Liger_DpoLoss::test_op_no_ref_model[cutile]": 0.13503220300026442,
+"tests/suites/liger/experimental/test_dpo_loss.py::Test_Liger_DpoLoss::test_op_rejects_non_sigmoid[cutile-hinge]": 0.14547756699994352,
+"tests/suites/liger/experimental/test_dpo_loss.py::Test_Liger_DpoLoss::test_op_rejects_non_sigmoid[cutile-ipo]": 0.12142904600000293,
+"tests/suites/liger/experimental/test_dpo_loss.py::Test_Liger_DpoLoss::test_op_rejects_non_sigmoid[cutile-robust]": 0.1318981000003987,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_backward[cutile-0.0-4-128-torch.bfloat16]": 0.3966235089997099,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_backward[cutile-0.0-4-128-torch.float16]": 0.41429921700000705,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_backward[cutile-0.0-6-300-torch.float32]": 0.41615642900023886,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_backward[cutile-0.0-63-41-torch.float32]": 0.3669967099999667,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_backward[cutile-0.0-8-512-torch.float32]": 3.2743271170002117,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_backward[cutile-0.1-4-128-torch.bfloat16]": 0.4074397259998932,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_backward[cutile-0.1-4-128-torch.float16]": 0.43325272600009157,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_backward[cutile-0.1-6-300-torch.float32]": 0.42377848000000995,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_backward[cutile-0.1-63-41-torch.float32]": 0.42590978199996243,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_backward[cutile-0.1-8-512-torch.float32]": 0.7037140429999909,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_forward[cutile-mean-1269-32000-torch.float32]": 3.102533421000089,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_forward[cutile-mean-4-128-torch.bfloat16]": 0.3334814209997603,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_forward[cutile-mean-4-128-torch.float16]": 0.3350024030003169,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_forward[cutile-mean-4-256-torch.float32]": 0.28420635099996616,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_forward[cutile-mean-6-300-torch.float32]": 1.7401718880000772,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_forward[cutile-mean-63-41-torch.float32]": 3.439551084999948,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_forward[cutile-mean-8-1024-torch.float32]": 2.312243764999721,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_forward[cutile-sum-1269-32000-torch.float32]": 0.5804675090000728,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_forward[cutile-sum-4-128-torch.bfloat16]": 0.32830920900005367,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_forward[cutile-sum-4-128-torch.float16]": 0.3162477000000763,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_forward[cutile-sum-4-256-torch.float32]": 0.3117684470000768,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_forward[cutile-sum-6-300-torch.float32]": 0.3178761179997309,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_forward[cutile-sum-63-41-torch.float32]": 0.2922575939996932,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_forward[cutile-sum-8-1024-torch.float32]": 0.46792173899984846,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_ignore_index[cutile-4-256-torch.float32]": 0.3405616899999586,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_ignore_index[cutile-8-512-torch.float32]": 0.13407948999974906,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_predicted_tokens[cutile-4-128-torch.float32]": 0.35500620300012997,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_predicted_tokens[cutile-8-256-torch.float32]": 0.34878105899997536,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_reduction_none[cutile-4-128-torch.bfloat16]": 0.11800678700024037,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_reduction_none[cutile-4-128-torch.float16]": 0.14186054000015247,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_reduction_none[cutile-8-512-torch.float32]": 0.49094626100031746,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_reduction_none_backward[cutile-4-128-torch.bfloat16]": 0.39265532600006736,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_reduction_none_backward[cutile-4-128-torch.float16]": 0.4123478750002505,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_reduction_none_backward[cutile-63-41-torch.float32]": 0.3798953389998587,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_reduction_none_backward[cutile-8-512-torch.float32]": 0.6349306100000831,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_softcap[cutile-30.0-4-128-torch.float32]": 0.3400868860001083,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_softcap[cutile-30.0-8-512-torch.float32]": 0.6540406100002656,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_softcap[cutile-50.0-4-128-torch.float32]": 0.1132345799999257,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_softcap[cutile-50.0-8-512-torch.float32]": 0.1362276190002376,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_token_accuracy[cutile-4-128-torch.float32]": 0.3497688109998762,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_token_accuracy[cutile-8-256-torch.float32]": 0.3584404480000103,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_weight[cutile-4-128-torch.bfloat16]": 0.3534794819997842,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_weight[cutile-8-512-torch.float32]": 0.5521196730001066,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_z_loss[cutile-0.0001-4-128-torch.float32]": 0.3072608750001109,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_z_loss[cutile-0.0001-8-512-torch.float32]": 0.4641508470001554,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_z_loss[cutile-0.01-4-128-torch.float32]": 0.32678502499993556,
+"tests/suites/liger/test_cross_entropy.py::Test_Liger_CrossEntropy::test_op_z_loss[cutile-0.01-8-512-torch.float32]": 0.50926471400021,
+"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op[cutile-False-(1, 1, 1023)-torch.float32]": 0.3204176199997164,
+"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op[cutile-False-(2, 4, 512)-torch.float32]": 0.2712295950000225,
+"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op[cutile-False-(2, 8, 4096)-torch.float32]": 0.3069336899998234,
+"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op[cutile-False-(3, 7, 256)-torch.float32]": 0.15589212500003669,
+"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op[cutile-False-(4, 16, 2048)-torch.float32]": 0.2958835770002679,
+"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op[cutile-False-(4, 256)-torch.bfloat16]": 0.25153492699996605,
+"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op[cutile-False-(4, 256)-torch.float16]": 0.2623885530001644,
+"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op[cutile-False-(4, 256)-torch.float32]": 0.2588357420002012,
+"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op[cutile-False-(4, 300)-torch.float32]": 0.2948336740000741,
+"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op[cutile-True-(1, 1, 1023)-torch.float32]": 0.3163033349999296,
+"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op[cutile-True-(2, 4, 512)-torch.float32]": 0.2771334569999908,
+"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op[cutile-True-(2, 8, 4096)-torch.float32]": 0.3113945339998736,
+"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op[cutile-True-(3, 7, 256)-torch.float32]": 0.15795420200015542,
+"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op[cutile-True-(4, 16, 2048)-torch.float32]": 0.2902696359997208,
+"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op[cutile-True-(4, 256)-torch.bfloat16]": 0.24392163899983643,
+"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op[cutile-True-(4, 256)-torch.float16]": 0.2553719879997516,
+"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op[cutile-True-(4, 256)-torch.float32]": 0.2799922939998396,
+"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op[cutile-True-(4, 300)-torch.float32]": 0.29710710399990603,
+"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op_backward[cutile-False-(1, 1, 1023)-torch.float32]": 0.33760452899991833,
+"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op_backward[cutile-False-(2, 8, 4096)-torch.float32]": 0.35077721300012854,
+"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op_backward[cutile-False-(3, 7, 256)-torch.float32]": 0.31307248600001003,
+"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op_backward[cutile-False-(4, 16, 2048)-torch.float32]": 0.32060272699982306,
+"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op_backward[cutile-False-(4, 256)-torch.bfloat16]": 0.33972096999991663,
+"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op_backward[cutile-False-(4, 256)-torch.float16]": 0.3580957619999481,
+"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op_backward[cutile-False-(4, 256)-torch.float32]": 0.31540681000001314,
+"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op_backward[cutile-False-(8, 512)-torch.float32]": 0.29509045500003594,
+"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op_backward[cutile-True-(1, 1, 1023)-torch.float32]": 0.39221832099974563,
+"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op_backward[cutile-True-(2, 8, 4096)-torch.float32]": 0.34246288600002117,
+"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op_backward[cutile-True-(3, 7, 256)-torch.float32]": 0.3281196009997984,
+"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op_backward[cutile-True-(4, 16, 2048)-torch.float32]": 0.39062747899993155,
+"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op_backward[cutile-True-(4, 256)-torch.bfloat16]": 0.336544012999866,
+"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op_backward[cutile-True-(4, 256)-torch.float16]": 0.322807247000128,
+"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op_backward[cutile-True-(4, 256)-torch.float32]": 0.3395653029999721,
+"tests/suites/liger/test_dyt.py::Test_Liger_DyT::test_op_backward[cutile-True-(8, 512)-torch.float32]": 0.3224024339999687,
+"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_backward[cutile-0.0-(2, 128, 512)-torch.float32]": 0.3172076879998258,
+"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_backward[cutile-0.0-(4, 256)-torch.bfloat16]": 0.4660663970000769,
+"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_backward[cutile-0.0-(4, 256)-torch.float16]": 0.4605019909997736,
+"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_backward[cutile-0.0-(4, 256)-torch.float32]": 0.45457749299998795,
+"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_backward[cutile-0.0-(8, 512)-torch.float32]": 0.4501099519998206,
+"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_backward[cutile-0.0-(9, 7, 41)-torch.float32]": 0.4311909849998301,
+"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_backward[cutile-1.0-(2, 128, 512)-torch.float32]": 0.3230481560001408,
+"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_backward[cutile-1.0-(4, 256)-torch.bfloat16]": 0.30028212500019436,
+"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_backward[cutile-1.0-(4, 256)-torch.float16]": 0.3169490920001863,
+"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_backward[cutile-1.0-(4, 256)-torch.float32]": 0.32257248899986735,
+"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_backward[cutile-1.0-(8, 512)-torch.float32]": 0.31218526399993607,
+"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_backward[cutile-1.0-(9, 7, 41)-torch.float32]": 0.3032876039999337,
+"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_casting_modes[cutile-gemma]": 1.0695924579997609,
+"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_casting_modes[cutile-llama]": 0.1819531220000954,
+"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_casting_modes[cutile-none]": 1.0966269729999567,
+"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_forward[cutile-0.0-(16, 1024)-torch.float32]": 1.313678635000315,
+"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_forward[cutile-0.0-(2, 128, 512)-torch.float32]": 0.29520579099994393,
+"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_forward[cutile-0.0-(2, 4, 512)-torch.float32]": 0.16767186499987474,
+"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_forward[cutile-0.0-(4, 256)-torch.bfloat16]": 1.1244225820000793,
+"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_forward[cutile-0.0-(4, 256)-torch.float16]": 1.09388010199973,
+"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_forward[cutile-0.0-(4, 256)-torch.float32]": 1.0307042219999403,
+"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_forward[cutile-0.0-(4, 300)-torch.float32]": 1.4110873069996615,
+"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_forward[cutile-0.0-(8, 512)-torch.float32]": 1.130406315999835,
+"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_forward[cutile-0.0-(9, 7, 41)-torch.float32]": 1.1385834810002962,
+"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_forward[cutile-1.0-(16, 1024)-torch.float32]": 0.3262658070002544,
+"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_forward[cutile-1.0-(2, 128, 512)-torch.float32]": 0.28169750800020665,
+"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_forward[cutile-1.0-(2, 4, 512)-torch.float32]": 0.188780172999941,
+"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_forward[cutile-1.0-(4, 256)-torch.bfloat16]": 0.27028170200037493,
+"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_forward[cutile-1.0-(4, 256)-torch.float16]": 0.27420667700016566,
+"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_forward[cutile-1.0-(4, 256)-torch.float32]": 0.2807863109997015,
+"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_forward[cutile-1.0-(4, 300)-torch.float32]": 0.3345896079999875,
+"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_forward[cutile-1.0-(8, 512)-torch.float32]": 0.29153537599995616,
+"tests/suites/liger/test_fused_add_rms_norm.py::Test_Liger_FusedAddRMSNorm::test_op_forward[cutile-1.0-(9, 7, 41)-torch.float32]": 0.3179662620000272,
+"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_backward[cutile-4-64-128-torch.bfloat16]": 0.39234853900006783,
+"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_backward[cutile-4-64-128-torch.float16]": 0.3546906389999549,
+"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_backward[cutile-4-64-128-torch.float32]": 0.4121012569996765,
+"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_backward[cutile-63-41-41-torch.float32]": 0.19720468399987112,
+"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_backward[cutile-8-128-256-torch.float32]": 0.15219805100014128,
+"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_backward_chunked[cutile-False-200-64-256-torch.bfloat16]": 3.3797328910000033,
+"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_backward_chunked[cutile-False-200-64-256-torch.float16]": 3.688186964999886,
+"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_backward_chunked[cutile-False-200-64-256-torch.float32]": 0.16861210400020354,
+"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_backward_chunked[cutile-False-97-48-300-torch.bfloat16]": 1.869978256999957,
+"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_backward_chunked[cutile-True-200-64-256-torch.bfloat16]": 0.18672015899983307,
+"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_backward_chunked[cutile-True-200-64-256-torch.float16]": 0.11494263000008687,
+"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_backward_chunked[cutile-True-200-64-256-torch.float32]": 0.14957761300001948,
+"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_backward_chunked[cutile-True-97-48-300-torch.bfloat16]": 0.11976421000008486,
+"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_features[cutile]": 0.8609736149999208,
+"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_forward[cutile-mean-1024-1024-4096-torch.float32]": 2.367926081000178,
+"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_forward[cutile-mean-4-64-128-torch.bfloat16]": 0.3527584360001583,
+"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_forward[cutile-mean-4-64-128-torch.float16]": 0.33340651899993645,
+"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_forward[cutile-mean-4-64-128-torch.float32]": 0.3314518610002324,
+"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_forward[cutile-mean-6-64-150-torch.float32]": 0.3278588910000053,
+"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_forward[cutile-mean-63-41-41-torch.float32]": 0.15283459100010077,
+"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_forward[cutile-mean-8-128-256-torch.float32]": 0.16631337699959658,
+"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_forward[cutile-sum-1024-1024-4096-torch.float32]": 0.35937997299993185,
+"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_forward[cutile-sum-4-64-128-torch.bfloat16]": 0.38573943399978816,
+"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_forward[cutile-sum-4-64-128-torch.float16]": 0.29432547000010345,
+"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_forward[cutile-sum-4-64-128-torch.float32]": 0.3087506269998812,
+"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_forward[cutile-sum-6-64-150-torch.float32]": 0.1489101939998818,
+"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_forward[cutile-sum-63-41-41-torch.float32]": 0.12144689500019012,
+"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_forward[cutile-sum-8-128-256-torch.float32]": 0.14513269100007165,
+"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_with_bias[cutile-4-64-128-torch.float16]": 0.11268128799974875,
+"tests/suites/liger/test_fused_linear_cross_entropy.py::Test_Liger_FusedLinearCrossEntropy::test_op_with_bias[cutile-4-64-128-torch.float32]": 0.1143840579998141,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_backward[cutile-1-64-128-torch.float32]": 0.11586935599984827,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_backward[cutile-188-31-123-torch.float32]": 0.1174432020002314,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_backward[cutile-4-64-128-torch.bfloat16]": 0.11730520799983424,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_backward[cutile-4-64-128-torch.float16]": 0.11389016500015714,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_backward[cutile-4-64-128-torch.float32]": 0.15178549999995994,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_backward[cutile-63-41-41-torch.float32]": 0.11947768300001371,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_backward[cutile-8-128-256-torch.float32]": 0.12169096799993895,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_forward[cutile-0.1-1-64-128-torch.float32]": 0.15957025800003066,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_forward[cutile-0.1-188-31-123-torch.float32]": 0.4295257200001288,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_forward[cutile-0.1-3-7-11-torch.float32]": 0.4090030669999578,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_forward[cutile-0.1-4-64-128-torch.bfloat16]": 0.13249331800011532,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_forward[cutile-0.1-4-64-128-torch.float16]": 0.14603537099992536,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_forward[cutile-0.1-4-64-128-torch.float32]": 0.29472867100025724,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_forward[cutile-0.1-4-64-32768-torch.float32]": 0.62155542399978,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_forward[cutile-0.1-63-41-41-torch.float32]": 0.28164757599984114,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_forward[cutile-0.1-8-128-256-torch.float32]": 0.33071145699977933,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_forward[cutile-0.5-1-64-128-torch.float32]": 0.1474478770001042,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_forward[cutile-0.5-188-31-123-torch.float32]": 0.44499150500018914,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_forward[cutile-0.5-3-7-11-torch.float32]": 0.41942234999987704,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_forward[cutile-0.5-4-64-128-torch.bfloat16]": 0.13623991500003285,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_forward[cutile-0.5-4-64-128-torch.float16]": 0.149429161000171,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_forward[cutile-0.5-4-64-128-torch.float32]": 0.3138793829998576,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_forward[cutile-0.5-4-64-32768-torch.float32]": 0.6432448009998097,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_forward[cutile-0.5-63-41-41-torch.float32]": 0.2690032370001063,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_forward[cutile-0.5-8-128-256-torch.float32]": 0.31296712599987586,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-42-0.5-0.2-1024-1024-4096-torch.bfloat16]": 0.7163730469999336,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-42-0.5-0.2-1024-1024-4096-torch.float32]": 0.14926785199986625,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-42-0.5-0.2-141-31-123-torch.bfloat16]": 0.45157883699971535,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-42-0.5-0.2-141-31-123-torch.float32]": 0.16051476699976774,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-42-1.0-0.5-1024-1024-4096-torch.bfloat16]": 0.716707642999836,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-42-1.0-0.5-1024-1024-4096-torch.float32]": 0.15187998699980199,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-42-1.0-0.5-141-31-123-torch.bfloat16]": 0.46322927200003505,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-42-1.0-0.5-141-31-123-torch.float32]": 0.140556352999738,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-42-2.0-0.8-1024-1024-4096-torch.bfloat16]": 0.7010663209996437,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-42-2.0-0.8-1024-1024-4096-torch.float32]": 0.14740617899974495,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-42-2.0-0.8-141-31-123-torch.bfloat16]": 0.45160917600014727,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-42-2.0-0.8-141-31-123-torch.float32]": 0.14097185299988269,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-_100-0.5-0.2-1024-1024-4096-torch.bfloat16]": 0.7175967630000741,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-_100-0.5-0.2-1024-1024-4096-torch.float32]": 0.15774826400001984,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-_100-0.5-0.2-141-31-123-torch.bfloat16]": 0.49022126900013063,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-_100-0.5-0.2-141-31-123-torch.float32]": 0.1641593650001596,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-_100-1.0-0.5-1024-1024-4096-torch.bfloat16]": 0.7098871569999119,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-_100-1.0-0.5-1024-1024-4096-torch.float32]": 0.15321403000007194,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-_100-1.0-0.5-141-31-123-torch.bfloat16]": 0.46323902599988287,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-_100-1.0-0.5-141-31-123-torch.float32]": 0.14395550999984152,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-_100-2.0-0.8-1024-1024-4096-torch.bfloat16]": 0.8160101040000427,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-_100-2.0-0.8-1024-1024-4096-torch.float32]": 0.1635128780001196,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-_100-2.0-0.8-141-31-123-torch.bfloat16]": 0.44998415200007,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_liger_shapes[cutile-_100-2.0-0.8-141-31-123-torch.float32]": 0.15698019699993893,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_with_labels[cutile-16-64-128-torch.float32]": 0.14400386600004822,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_with_labels[cutile-4-64-128-torch.float32]": 0.2938957050000681,
+"tests/suites/liger/test_fused_linear_jsd.py::Test_Liger_FusedLinearJSD::test_op_with_labels[cutile-8-128-256-torch.float32]": 0.35345411300022533,
+"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op[cutile-torch.bfloat16-3-(1, 1, 16, 32)]": 9.33160018700005,
+"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op[cutile-torch.bfloat16-3-(1, 2, 64, 32)]": 0.8168884519998301,
+"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op[cutile-torch.bfloat16-3-(2, 4, 32, 64)]": 10.222949512000014,
+"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op[cutile-torch.bfloat16-7-(1, 1, 16, 32)]": 0.5507135819998439,
+"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op[cutile-torch.bfloat16-7-(1, 2, 64, 32)]": 0.2085035599998264,
+"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op[cutile-torch.bfloat16-7-(2, 4, 32, 64)]": 0.6145830410000599,
+"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op[cutile-torch.float16-3-(1, 1, 16, 32)]": 9.174444660000063,
+"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op[cutile-torch.float16-3-(1, 2, 64, 32)]": 0.7810296989996459,
+"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op[cutile-torch.float16-3-(2, 4, 32, 64)]": 10.247853307000241,
+"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op[cutile-torch.float16-7-(1, 1, 16, 32)]": 0.6847868689999359,
+"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op[cutile-torch.float16-7-(1, 2, 64, 32)]": 0.6639713009999468,
+"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op[cutile-torch.float16-7-(2, 4, 32, 64)]": 0.6081024269999489,
+"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op[cutile-torch.float32-3-(1, 1, 16, 32)]": 14.856453597999916,
+"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op[cutile-torch.float32-3-(1, 2, 64, 32)]": 0.8454065939999964,
+"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op[cutile-torch.float32-3-(2, 4, 32, 64)]": 18.921219538000287,
+"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op[cutile-torch.float32-7-(1, 1, 16, 32)]": 0.8278349789998174,
+"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op[cutile-torch.float32-7-(1, 2, 64, 32)]": 0.19205195499989713,
+"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op[cutile-torch.float32-7-(2, 4, 32, 64)]": 1.266561842000101,
+"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op_backward[cutile-(1, 1, 16, 32)]": 0.16452976000005037,
+"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op_backward[cutile-(1, 2, 64, 32)]": 0.12539696500016362,
+"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op_backward[cutile-(2, 4, 32, 64)]": 0.11947128099996007,
+"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op_dilation[cutile-1-(1, 1, 16, 32)]": 0.14186725500007924,
+"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op_dilation[cutile-1-(1, 2, 64, 32)]": 0.11942775700026687,
+"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op_dilation[cutile-1-(2, 4, 32, 64)]": 0.1193571490002796,
+"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op_dilation[cutile-2-(1, 1, 16, 32)]": 0.17446358100005455,
+"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op_dilation[cutile-2-(1, 2, 64, 32)]": 18.363357912000083,
+"tests/suites/liger/test_fused_neighborhood_attention.py::Test_Liger_FusedNeighborhoodAttention::test_op_dilation[cutile-2-(2, 4, 32, 64)]": 1.4279655059997367,
+"tests/suites/liger/test_geglu.py::Test_Liger_GEGLU::test_op_backward[cutile-(4, 256)-torch.bfloat16]": 0.2735478200002035,
+"tests/suites/liger/test_geglu.py::Test_Liger_GEGLU::test_op_backward[cutile-(4, 256)-torch.float16]": 0.252433898000163,
+"tests/suites/liger/test_geglu.py::Test_Liger_GEGLU::test_op_backward[cutile-(4, 256)-torch.float32]": 0.2675191109997286,
+"tests/suites/liger/test_geglu.py::Test_Liger_GEGLU::test_op_backward[cutile-(8, 512)-torch.float32]": 0.32880009700011215,
+"tests/suites/liger/test_geglu.py::Test_Liger_GEGLU::test_op_backward[cutile-(9, 41, 341)-torch.float32]": 0.3222501049999664,
+"tests/suites/liger/test_geglu.py::Test_Liger_GEGLU::test_op_backward[cutile-(9, 7, 41)-torch.float32]": 0.28176090900001327,
+"tests/suites/liger/test_geglu.py::Test_Liger_GEGLU::test_op_forward[cutile-(16, 1024)-torch.float32]": 0.25970106699992357,
+"tests/suites/liger/test_geglu.py::Test_Liger_GEGLU::test_op_forward[cutile-(2, 2, 8)-torch.float32]": 0.25043261100017844,
+"tests/suites/liger/test_geglu.py::Test_Liger_GEGLU::test_op_forward[cutile-(2, 4, 512)-torch.float32]": 0.20030649299997094,
+"tests/suites/liger/test_geglu.py::Test_Liger_GEGLU::test_op_forward[cutile-(4, 256)-torch.bfloat16]": 0.249298324999927,
+"tests/suites/liger/test_geglu.py::Test_Liger_GEGLU::test_op_forward[cutile-(4, 256)-torch.float16]": 0.29135864299996683,
+"tests/suites/liger/test_geglu.py::Test_Liger_GEGLU::test_op_forward[cutile-(4, 256)-torch.float32]": 0.21496790300011526,
+"tests/suites/liger/test_geglu.py::Test_Liger_GEGLU::test_op_forward[cutile-(4, 300)-torch.float32]": 0.288154048999786,
+"tests/suites/liger/test_geglu.py::Test_Liger_GEGLU::test_op_forward[cutile-(8, 512)-torch.float32]": 0.23663937400010582,
+"tests/suites/liger/test_geglu.py::Test_Liger_GEGLU::test_op_forward[cutile-(9, 41, 341)-torch.float32]": 0.3192696710000291,
+"tests/suites/liger/test_geglu.py::Test_Liger_GEGLU::test_op_forward[cutile-(9, 7, 41)-torch.float32]": 0.24853175199996258,
+"tests/suites/liger/test_group_norm.py::Test_Liger_GroupNorm::test_op_backward[cutile-2-4-2-8-torch.bfloat16]": 0.326885295999773,
+"tests/suites/liger/test_group_norm.py::Test_Liger_GroupNorm::test_op_backward[cutile-2-4-2-8-torch.float16]": 0.34546653300026264,
+"tests/suites/liger/test_group_norm.py::Test_Liger_GroupNorm::test_op_backward[cutile-2-4-2-8-torch.float32]": 0.34682731699990654,
+"tests/suites/liger/test_group_norm.py::Test_Liger_GroupNorm::test_op_backward[cutile-2-63-21-2163-torch.float32]": 0.7292466359999707,
+"tests/suites/liger/test_group_norm.py::Test_Liger_GroupNorm::test_op_backward[cutile-4-8-4-16-torch.float32]": 0.34829407699953663,
+"tests/suites/liger/test_group_norm.py::Test_Liger_GroupNorm::test_op_forward[cutile-16-32-1-4096-torch.float32]": 0.44176730499998484,
+"tests/suites/liger/test_group_norm.py::Test_Liger_GroupNorm::test_op_forward[cutile-2-4-2-8-torch.bfloat16]": 0.2837100990000181,
+"tests/suites/liger/test_group_norm.py::Test_Liger_GroupNorm::test_op_forward[cutile-2-4-2-8-torch.float16]": 0.28183500399995864,
+"tests/suites/liger/test_group_norm.py::Test_Liger_GroupNorm::test_op_forward[cutile-2-4-2-8-torch.float32]": 0.3076228100001117,
+"tests/suites/liger/test_group_norm.py::Test_Liger_GroupNorm::test_op_forward[cutile-2-6-3-10-torch.float32]": 0.28274173599993446,
+"tests/suites/liger/test_group_norm.py::Test_Liger_GroupNorm::test_op_forward[cutile-2-63-21-2163-torch.float32]": 0.4968121830002019,
+"tests/suites/liger/test_group_norm.py::Test_Liger_GroupNorm::test_op_forward[cutile-4-8-4-16-torch.float32]": 0.3014262149999922,
+"tests/suites/liger/test_grpo_loss.py::Test_Liger_GrpoLoss::test_op[cutile-cispo-1-4-128]": 0.871263307000163,
+"tests/suites/liger/test_grpo_loss.py::Test_Liger_GrpoLoss::test_op[cutile-cispo-2-8-256]": 0.8949915169998803,
+"tests/suites/liger/test_grpo_loss.py::Test_Liger_GrpoLoss::test_op[cutile-cispo-4-16-512]": 0.8512387619998663,
+"tests/suites/liger/test_grpo_loss.py::Test_Liger_GrpoLoss::test_op[cutile-grpo-1-4-128]": 0.9112143489996924,
+"tests/suites/liger/test_grpo_loss.py::Test_Liger_GrpoLoss::test_op[cutile-grpo-2-8-256]": 0.8539223350001066,
+"tests/suites/liger/test_grpo_loss.py::Test_Liger_GrpoLoss::test_op[cutile-grpo-4-16-512]": 0.9335354879999613,
+"tests/suites/liger/test_grpo_loss.py::Test_Liger_GrpoLoss::test_op_backward[cutile]": 1.0816224430002421,
+"tests/suites/liger/test_grpo_loss.py::Test_Liger_GrpoLoss::test_op_with_kl[cutile-2-8-256]": 0.34061709699994935,
+"tests/suites/liger/test_grpo_loss.py::Test_Liger_GrpoLoss::test_op_with_mask[cutile-2-8-256]": 0.980056796999861,
+"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op[cutile-16-1024-0.5-torch.float32]": 0.47835205900014444,
+"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op[cutile-4-256-0.0-torch.float32]": 0.3503888969999025,
+"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op[cutile-4-256-0.5-torch.bfloat16]": 0.31129537200013147,
+"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op[cutile-4-256-0.5-torch.float16]": 0.2869450290002078,
+"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op[cutile-4-256-0.5-torch.float32]": 0.19067564300030426,
+"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op[cutile-4-256-1.0-torch.float32]": 0.3012068380000983,
+"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op[cutile-8-512-0.3-torch.float32]": 0.34067502700008845,
+"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op[cutile-8-512-0.5-torch.float32]": 0.3512190870001177,
+"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op_all_ignored[cutile-20-32-torch.bfloat16]": 0.1372677320002822,
+"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op_all_ignored[cutile-20-32-torch.float32]": 0.16589798699988023,
+"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op_nondefault_ignore_index[cutile-16-1024-0.3-2-torch.bfloat16]": 0.5822527760001321,
+"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op_nondefault_ignore_index[cutile-8-512-0.5-2-torch.float32]": 0.3570595310000044,
+"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op_nondefault_ignore_index[cutile-8-512-0.5-42-torch.float32]": 0.39135919000000285,
+"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op_not_last_layer[cutile-16441-1271-0.5-torch.float32]": 0.622679169000321,
+"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op_not_last_layer[cutile-2048-3200-0.5-torch.bfloat16]": 0.8091905349999706,
+"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op_not_last_layer[cutile-2048-3200-0.5-torch.float32]": 0.6573402800001986,
+"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op_not_last_layer[cutile-8-512-0.5-torch.float16]": 0.3608705629999349,
+"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op_symmetry[cutile-16441-1271-torch.float32]": 0.1496032129998639,
+"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op_symmetry[cutile-2048-3200-torch.bfloat16]": 0.14978521400007594,
+"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op_symmetry[cutile-2048-3200-torch.float32]": 0.17191480099995715,
+"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op_with_labels[cutile-16-1024-0.5-torch.float32]": 0.546238139000252,
+"tests/suites/liger/test_jsd.py::Test_Liger_JSD::test_op_with_labels[cutile-8-512-0.5-torch.float32]": 0.3667887760002486,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-batchmean-(16, 1024)-torch.float32]": 0.12485409799978697,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-batchmean-(4, 256)-torch.bfloat16]": 0.12840943299988794,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-batchmean-(4, 256)-torch.float16]": 0.13461007999990215,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-batchmean-(4, 256)-torch.float32]": 0.1281763110000611,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-batchmean-(4, 300)-torch.float32]": 0.12498105200006648,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-batchmean-(8, 512)-torch.float32]": 0.12495352599989928,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-mean-(16, 1024)-torch.float32]": 0.12872563499990974,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-mean-(4, 256)-torch.bfloat16]": 0.13746394199984024,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-mean-(4, 256)-torch.float16]": 0.13085708899984638,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-mean-(4, 256)-torch.float32]": 0.16153028799999447,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-mean-(4, 300)-torch.float32]": 0.13069603099984306,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-mean-(8, 512)-torch.float32]": 0.1251379709997309,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-none-(16, 1024)-torch.float32]": 0.3282892229999561,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-none-(4, 256)-torch.bfloat16]": 0.25697250500002156,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-none-(4, 256)-torch.float16]": 0.24368050299995048,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-none-(4, 256)-torch.float32]": 0.23521880199996303,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-none-(4, 300)-torch.float32]": 0.29296324999995704,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-none-(8, 512)-torch.float32]": 0.26851565499987373,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-sum-(16, 1024)-torch.float32]": 0.2976642810001522,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-sum-(4, 256)-torch.bfloat16]": 0.2517711179998514,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-sum-(4, 256)-torch.float16]": 0.25598114500007796,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-sum-(4, 256)-torch.float32]": 0.27947706999998445,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-sum-(4, 300)-torch.float32]": 0.29686153299962825,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-False-sum-(8, 512)-torch.float32]": 0.27100913799995396,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-batchmean-(16, 1024)-torch.float32]": 0.1250167320001765,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-batchmean-(4, 256)-torch.bfloat16]": 0.13276587099994686,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-batchmean-(4, 256)-torch.float16]": 0.12624667500017495,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-batchmean-(4, 256)-torch.float32]": 0.13972213900024144,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-batchmean-(4, 300)-torch.float32]": 0.13002105900022798,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-batchmean-(8, 512)-torch.float32]": 0.12802098399970419,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-mean-(16, 1024)-torch.float32]": 0.1277969259999736,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-mean-(4, 256)-torch.bfloat16]": 0.1280231109997203,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-mean-(4, 256)-torch.float16]": 0.1256239810002171,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-mean-(4, 256)-torch.float32]": 0.14629367300017293,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-mean-(4, 300)-torch.float32]": 0.12895875699996395,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-mean-(8, 512)-torch.float32]": 0.12899829499974658,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-none-(16, 1024)-torch.float32]": 0.2574045889998615,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-none-(4, 256)-torch.bfloat16]": 0.24857374499993057,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-none-(4, 256)-torch.float16]": 0.2408389160000297,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-none-(4, 256)-torch.float32]": 0.21440124100013236,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-none-(4, 300)-torch.float32]": 0.2762293480002427,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-none-(8, 512)-torch.float32]": 0.25328404000015325,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-sum-(16, 1024)-torch.float32]": 0.2781431099999736,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-sum-(4, 256)-torch.bfloat16]": 0.2522347650001393,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-sum-(4, 256)-torch.float16]": 0.2606414300000779,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-sum-(4, 256)-torch.float32]": 0.2823543489998883,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-sum-(4, 300)-torch.float32]": 0.28164428300010513,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op[cutile-True-sum-(8, 512)-torch.float32]": 0.25304902700008824,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-False-batchmean-(16, 1024)-torch.float32]": 0.1457482959999652,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-False-batchmean-(4, 256)-torch.bfloat16]": 0.13772948299993004,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-False-batchmean-(4, 256)-torch.float16]": 0.13652798699990853,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-False-batchmean-(4, 256)-torch.float32]": 0.1326636219998818,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-False-batchmean-(4, 300)-torch.float32]": 0.13450649899982636,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-False-batchmean-(8, 512)-torch.float32]": 0.13278519899995445,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-False-mean-(16, 1024)-torch.float32]": 0.12981607399979112,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-False-mean-(4, 256)-torch.bfloat16]": 0.13297996400001466,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-False-mean-(4, 256)-torch.float16]": 0.15127924299986262,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-False-mean-(4, 256)-torch.float32]": 0.1675044160001562,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-False-mean-(4, 300)-torch.float32]": 0.12860663400010708,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-False-mean-(8, 512)-torch.float32]": 0.14150084200014135,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-False-sum-(16, 1024)-torch.float32]": 0.27905558500015104,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-False-sum-(4, 256)-torch.bfloat16]": 0.2745375790000253,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-False-sum-(4, 256)-torch.float16]": 0.28982362799979455,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-False-sum-(4, 256)-torch.float32]": 0.24238814099999217,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-False-sum-(4, 300)-torch.float32]": 0.30003994999992756,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-False-sum-(8, 512)-torch.float32]": 0.25673616600010973,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-True-batchmean-(16, 1024)-torch.float32]": 0.12433080799996787,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-True-batchmean-(4, 256)-torch.bfloat16]": 0.1317538319999585,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-True-batchmean-(4, 256)-torch.float16]": 0.13380869299999176,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-True-batchmean-(4, 256)-torch.float32]": 0.13268420699978378,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-True-batchmean-(4, 300)-torch.float32]": 0.12773906600000373,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-True-batchmean-(8, 512)-torch.float32]": 0.13068674300006933,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-True-mean-(16, 1024)-torch.float32]": 0.1446743779999906,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-True-mean-(4, 256)-torch.bfloat16]": 0.12429999499977384,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-True-mean-(4, 256)-torch.float16]": 0.1281622330002392,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-True-mean-(4, 256)-torch.float32]": 0.1632569170003535,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-True-mean-(4, 300)-torch.float32]": 0.12838235899994288,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-True-mean-(8, 512)-torch.float32]": 0.13266153499967004,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-True-sum-(16, 1024)-torch.float32]": 0.29925495499992394,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-True-sum-(4, 256)-torch.bfloat16]": 0.25357025600010275,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-True-sum-(4, 256)-torch.float16]": 0.25833361600007265,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-True-sum-(4, 256)-torch.float32]": 0.23858068399999866,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-True-sum-(4, 300)-torch.float32]": 0.29844141699982174,
+"tests/suites/liger/test_kl_div.py::Test_Liger_KLDiv::test_op_backward[cutile-True-sum-(8, 512)-torch.float32]": 0.25910168600012184,
+"tests/suites/liger/test_layer_norm.py::Test_Liger_LayerNorm::test_op[cutile-(16, 1024)-torch.float32]": 0.3118718909997824,
+"tests/suites/liger/test_layer_norm.py::Test_Liger_LayerNorm::test_op[cutile-(2, 4, 512)-torch.float32]": 0.14819185699980153,
+"tests/suites/liger/test_layer_norm.py::Test_Liger_LayerNorm::test_op[cutile-(4, 256)-torch.bfloat16]": 0.2733101540000007,
+"tests/suites/liger/test_layer_norm.py::Test_Liger_LayerNorm::test_op[cutile-(4, 256)-torch.float16]": 0.29590819800000645,
+"tests/suites/liger/test_layer_norm.py::Test_Liger_LayerNorm::test_op[cutile-(4, 256)-torch.float32]": 0.28612188699980834,
+"tests/suites/liger/test_layer_norm.py::Test_Liger_LayerNorm::test_op[cutile-(4, 300)-torch.float32]": 0.294471084999941,
+"tests/suites/liger/test_layer_norm.py::Test_Liger_LayerNorm::test_op[cutile-(8, 512)-torch.float32]": 0.29720404699992287,
+"tests/suites/liger/test_layer_norm.py::Test_Liger_LayerNorm::test_op_backward[cutile-(16, 1024)-torch.float32]": 0.3484240679999857,
+"tests/suites/liger/test_layer_norm.py::Test_Liger_LayerNorm::test_op_backward[cutile-(2, 4, 512)-torch.float32]": 0.15683177899995826,
+"tests/suites/liger/test_layer_norm.py::Test_Liger_LayerNorm::test_op_backward[cutile-(4, 256)-torch.bfloat16]": 0.3315523290002602,
+"tests/suites/liger/test_layer_norm.py::Test_Liger_LayerNorm::test_op_backward[cutile-(4, 256)-torch.float16]": 0.2951550119998956,
+"tests/suites/liger/test_layer_norm.py::Test_Liger_LayerNorm::test_op_backward[cutile-(4, 256)-torch.float32]": 0.3266268400000172,
+"tests/suites/liger/test_layer_norm.py::Test_Liger_LayerNorm::test_op_backward[cutile-(4, 300)-torch.float32]": 0.3231304569999338,
+"tests/suites/liger/test_layer_norm.py::Test_Liger_LayerNorm::test_op_backward[cutile-(8, 512)-torch.float32]": 0.3345331329999226,
+"tests/suites/liger/test_llama4_rope.py::Test_Liger_Llama4Rope::test_op[cutile-(1, 16, 8, 128)-torch.float32]": 0.2917044450000503,
+"tests/suites/liger/test_llama4_rope.py::Test_Liger_Llama4Rope::test_op[cutile-(1, 4, 2, 48)-torch.float32]": 0.26301807100026053,
+"tests/suites/liger/test_llama4_rope.py::Test_Liger_Llama4Rope::test_op[cutile-(2, 8, 4, 64)-torch.bfloat16]": 0.29985800400004337,
+"tests/suites/liger/test_llama4_rope.py::Test_Liger_Llama4Rope::test_op[cutile-(2, 8, 4, 64)-torch.float16]": 0.30021629299994856,
+"tests/suites/liger/test_llama4_rope.py::Test_Liger_Llama4Rope::test_op[cutile-(2, 8, 4, 64)-torch.float32]": 0.30613770799982376,
+"tests/suites/liger/test_llama4_rope.py::Test_Liger_Llama4Rope::test_op_backward[cutile-(2, 8, 4, 64)-torch.bfloat16]": 0.29105784700004733,
+"tests/suites/liger/test_llama4_rope.py::Test_Liger_Llama4Rope::test_op_backward[cutile-(2, 8, 4, 64)-torch.float16]": 0.2762067590001607,
+"tests/suites/liger/test_llama4_rope.py::Test_Liger_Llama4Rope::test_op_backward[cutile-(2, 8, 4, 64)-torch.float32]": 0.2981826309999178,
+"tests/suites/liger/test_modulated_rms_norm.py::Test_Liger_ModulatedRMSNorm::test_op[cutile-torch.bfloat16-(64, 512)-per_token]": 0.37537974499991833,
+"tests/suites/liger/test_modulated_rms_norm.py::Test_Liger_ModulatedRMSNorm::test_op[cutile-torch.bfloat16-(64, 512)-shared]": 0.2803337620000548,
+"tests/suites/liger/test_modulated_rms_norm.py::Test_Liger_ModulatedRMSNorm::test_op[cutile-torch.bfloat16-(8, 128)-per_token]": 0.27536144700002296,
+"tests/suites/liger/test_modulated_rms_norm.py::Test_Liger_ModulatedRMSNorm::test_op[cutile-torch.bfloat16-(8, 128)-shared]": 0.2606721120000657,
+"tests/suites/liger/test_modulated_rms_norm.py::Test_Liger_ModulatedRMSNorm::test_op[cutile-torch.float16-(64, 512)-per_token]": 0.28684707599950343,
+"tests/suites/liger/test_modulated_rms_norm.py::Test_Liger_ModulatedRMSNorm::test_op[cutile-torch.float16-(64, 512)-shared]": 0.2806426269999065,
+"tests/suites/liger/test_modulated_rms_norm.py::Test_Liger_ModulatedRMSNorm::test_op[cutile-torch.float16-(8, 128)-per_token]": 0.27647228800015,
+"tests/suites/liger/test_modulated_rms_norm.py::Test_Liger_ModulatedRMSNorm::test_op[cutile-torch.float16-(8, 128)-shared]": 0.2784578720002173,
+"tests/suites/liger/test_modulated_rms_norm.py::Test_Liger_ModulatedRMSNorm::test_op[cutile-torch.float32-(64, 512)-per_token]": 0.2988429729998643,
+"tests/suites/liger/test_modulated_rms_norm.py::Test_Liger_ModulatedRMSNorm::test_op[cutile-torch.float32-(64, 512)-shared]": 0.26904789999980494,
+"tests/suites/liger/test_modulated_rms_norm.py::Test_Liger_ModulatedRMSNorm::test_op[cutile-torch.float32-(8, 128)-per_token]": 0.27521500000011656,
+"tests/suites/liger/test_modulated_rms_norm.py::Test_Liger_ModulatedRMSNorm::test_op[cutile-torch.float32-(8, 128)-shared]": 0.2832724079999025,
+"tests/suites/liger/test_modulated_rms_norm.py::Test_Liger_ModulatedRMSNorm::test_op_backward[cutile-torch.float32-(64, 512)-per_token]": 0.34734632700019574,
+"tests/suites/liger/test_modulated_rms_norm.py::Test_Liger_ModulatedRMSNorm::test_op_backward[cutile-torch.float32-(64, 512)-shared]": 0.34334751200003666,
+"tests/suites/liger/test_modulated_rms_norm.py::Test_Liger_ModulatedRMSNorm::test_op_backward[cutile-torch.float32-(8, 128)-per_token]": 0.3165848210001059,
+"tests/suites/liger/test_modulated_rms_norm.py::Test_Liger_ModulatedRMSNorm::test_op_backward[cutile-torch.float32-(8, 128)-shared]": 0.33976465799992184,
+"tests/suites/liger/test_modulated_rms_norm.py::Test_Liger_ModulatedRMSNorm::test_op_casting_modes[cutile-gemma]": 0.2344062079998821,
+"tests/suites/liger/test_modulated_rms_norm.py::Test_Liger_ModulatedRMSNorm::test_op_casting_modes[cutile-llama]": 0.14996485000006032,
+"tests/suites/liger/test_modulated_rms_norm.py::Test_Liger_ModulatedRMSNorm::test_op_casting_modes[cutile-none]": 0.2847212269996362,
+"tests/suites/liger/test_modulated_rms_norm.py::Test_Liger_ModulatedRMSNorm::test_op_no_shift[cutile]": 0.4196191879998423,
+"tests/suites/liger/test_multi_token_attention.py::Test_Liger_MultiTokenAttention::test_op[cutile-(1, 2, 16)-torch.float32]": 0.3868394390001413,
+"tests/suites/liger/test_multi_token_attention.py::Test_Liger_MultiTokenAttention::test_op[cutile-(2, 1, 8)-torch.bfloat16]": 0.5014893630000188,
+"tests/suites/liger/test_multi_token_attention.py::Test_Liger_MultiTokenAttention::test_op[cutile-(2, 1, 8)-torch.float16]": 0.1793925389999913,
+"tests/suites/liger/test_multi_token_attention.py::Test_Liger_MultiTokenAttention::test_op[cutile-(2, 1, 8)-torch.float32]": 0.39424119299997074,
+"tests/suites/liger/test_multi_token_attention.py::Test_Liger_MultiTokenAttention::test_op_backward[cutile-(1, 1, 16)-torch.float32]": 0.37596887400013657,
+"tests/suites/liger/test_multi_token_attention.py::Test_Liger_MultiTokenAttention::test_op_backward[cutile-(2, 1, 8)-torch.float32]": 0.3833959579999373,
+"tests/suites/liger/test_multi_token_attention.py::Test_Liger_MultiTokenAttention::test_op_backward_conv_params[cutile-2-1-8-1-torch.float32]": 0.1807352779997018,
+"tests/suites/liger/test_multi_token_attention.py::Test_Liger_MultiTokenAttention::test_op_backward_conv_params[cutile-2-2-8-1-torch.float32]": 0.15754249199994774,
+"tests/suites/liger/test_multi_token_attention.py::Test_Liger_MultiTokenAttention::test_op_backward_conv_params[cutile-2-2-8-2-torch.bfloat16]": 0.3690227799997956,
+"tests/suites/liger/test_multi_token_attention.py::Test_Liger_MultiTokenAttention::test_op_backward_conv_params[cutile-2-2-8-2-torch.float32]": 0.15290175000041017,
+"tests/suites/liger/test_multi_token_attention.py::Test_Liger_MultiTokenAttention::test_op_with_bias[cutile-(2, 1, 8)-torch.bfloat16]": 0.1330952119997164,
+"tests/suites/liger/test_multi_token_attention.py::Test_Liger_MultiTokenAttention::test_op_with_bias[cutile-(2, 1, 8)-torch.float16]": 0.13250754799992137,
+"tests/suites/liger/test_multi_token_attention.py::Test_Liger_MultiTokenAttention::test_op_with_bias[cutile-(2, 1, 8)-torch.float32]": 0.15639558599991688,
+"tests/suites/liger/test_poly_norm.py::Test_Liger_PolyNorm::test_op[cutile-(16, 1024)-torch.float32]": 0.5189886010000464,
+"tests/suites/liger/test_poly_norm.py::Test_Liger_PolyNorm::test_op[cutile-(2, 4, 512)-torch.float32]": 0.16131016199983605,
+"tests/suites/liger/test_poly_norm.py::Test_Liger_PolyNorm::test_op[cutile-(4, 256)-torch.bfloat16]": 0.49419536200025505,
+"tests/suites/liger/test_poly_norm.py::Test_Liger_PolyNorm::test_op[cutile-(4, 256)-torch.float16]": 0.506338498000332,
+"tests/suites/liger/test_poly_norm.py::Test_Liger_PolyNorm::test_op[cutile-(4, 256)-torch.float32]": 0.4466287779996492,
+"tests/suites/liger/test_poly_norm.py::Test_Liger_PolyNorm::test_op[cutile-(4, 300)-torch.float32]": 0.5103254759997071,
+"tests/suites/liger/test_poly_norm.py::Test_Liger_PolyNorm::test_op[cutile-(8, 512)-torch.float32]": 0.4942399369999748,
+"tests/suites/liger/test_poly_norm.py::Test_Liger_PolyNorm::test_op_backward[cutile-(4, 256)-torch.bfloat16]": 0.3633264360000794,
+"tests/suites/liger/test_poly_norm.py::Test_Liger_PolyNorm::test_op_backward[cutile-(4, 256)-torch.float16]": 0.36164385500001117,
+"tests/suites/liger/test_poly_norm.py::Test_Liger_PolyNorm::test_op_backward[cutile-(4, 256)-torch.float32]": 0.36918793600034405,
+"tests/suites/liger/test_poly_norm.py::Test_Liger_PolyNorm::test_op_backward[cutile-(8, 512)-torch.float32]": 0.37427787600017837,
+"tests/suites/liger/test_qwen2vl_mrope.py::Test_Liger_Qwen2VLMRope::test_op[cutile-(1, 2, 4, 48)-torch.float32]": 0.36261196300006304,
+"tests/suites/liger/test_qwen2vl_mrope.py::Test_Liger_Qwen2VLMRope::test_op[cutile-(1, 4, 8, 128)-torch.float32]": 0.4091072290000284,
+"tests/suites/liger/test_qwen2vl_mrope.py::Test_Liger_Qwen2VLMRope::test_op[cutile-(2, 8, 16, 64)-torch.bfloat16]": 0.3514819339998212,
+"tests/suites/liger/test_qwen2vl_mrope.py::Test_Liger_Qwen2VLMRope::test_op[cutile-(2, 8, 16, 64)-torch.float16]": 0.36980454799982,
+"tests/suites/liger/test_qwen2vl_mrope.py::Test_Liger_Qwen2VLMRope::test_op[cutile-(2, 8, 16, 64)-torch.float32]": 0.37137090999976863,
+"tests/suites/liger/test_qwen2vl_mrope.py::Test_Liger_Qwen2VLMRope::test_op_backward[cutile-(2, 8, 16, 64)-torch.bfloat16]": 0.5721682459998192,
+"tests/suites/liger/test_qwen2vl_mrope.py::Test_Liger_Qwen2VLMRope::test_op_backward[cutile-(2, 8, 16, 64)-torch.float16]": 0.5779571199998372,
+"tests/suites/liger/test_qwen2vl_mrope.py::Test_Liger_Qwen2VLMRope::test_op_backward[cutile-(2, 8, 16, 64)-torch.float32]": 0.5432758800000101,
+"tests/suites/liger/test_relu_squared.py::Test_Liger_ReLUSquared::test_op[cutile-(1, 1, 1023)-torch.float32]": 0.29225774199994703,
+"tests/suites/liger/test_relu_squared.py::Test_Liger_ReLUSquared::test_op[cutile-(2, 4, 512)-torch.float32]": 0.2605067960000724,
+"tests/suites/liger/test_relu_squared.py::Test_Liger_ReLUSquared::test_op[cutile-(2, 8, 4096)-torch.float32]": 0.27218338099987704,
+"tests/suites/liger/test_relu_squared.py::Test_Liger_ReLUSquared::test_op[cutile-(3, 7, 256)-torch.float32]": 0.17021603900025184,
+"tests/suites/liger/test_relu_squared.py::Test_Liger_ReLUSquared::test_op[cutile-(4, 16, 2048)-torch.float32]": 0.26659385499988275,
+"tests/suites/liger/test_relu_squared.py::Test_Liger_ReLUSquared::test_op[cutile-(4, 256)-torch.bfloat16]": 0.259206069000129,
+"tests/suites/liger/test_relu_squared.py::Test_Liger_ReLUSquared::test_op[cutile-(4, 256)-torch.float16]": 0.28191482500005804,
+"tests/suites/liger/test_relu_squared.py::Test_Liger_ReLUSquared::test_op[cutile-(4, 256)-torch.float32]": 0.28432467399989036,
+"tests/suites/liger/test_relu_squared.py::Test_Liger_ReLUSquared::test_op[cutile-(4, 300)-torch.float32]": 0.2998403600001893,
+"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op[cutile-(16, 1024)-torch.float32]": 0.29093356099997436,
+"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op[cutile-(2, 4, 512)-torch.float32]": 0.16230282299989085,
+"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op[cutile-(4, 256)-torch.bfloat16]": 0.27349036300006446,
+"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op[cutile-(4, 256)-torch.float16]": 0.27017057199986994,
+"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op[cutile-(4, 256)-torch.float32]": 0.2770912710000175,
+"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op[cutile-(4, 300)-torch.float32]": 0.27737782199983485,
+"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op[cutile-(8, 512)-torch.float32]": 0.28039186099999824,
+"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op_backward[cutile-(4, 256)-torch.bfloat16]": 0.28799682199974086,
+"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op_backward[cutile-(4, 256)-torch.float16]": 0.2930697509998481,
+"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op_backward[cutile-(4, 256)-torch.float32]": 0.24888264400010485,
+"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op_backward[cutile-(8, 512)-torch.float32]": 0.29241497499992875,
+"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op_casting_modes[cutile-(4, 256)-torch.bfloat16-gemma]": 0.23656373299991174,
+"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op_casting_modes[cutile-(4, 256)-torch.bfloat16-llama]": 0.16791212199996153,
+"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op_casting_modes[cutile-(4, 256)-torch.bfloat16-none]": 0.31915626600016367,
+"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op_casting_modes[cutile-(4, 256)-torch.float32-gemma]": 0.23664941700030795,
+"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op_casting_modes[cutile-(4, 256)-torch.float32-llama]": 0.21227741399980005,
+"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op_casting_modes[cutile-(4, 256)-torch.float32-none]": 0.2772255080001287,
+"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op_no_affine[cutile-(4, 256)-torch.bfloat16]": 0.26802067299990995,
+"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op_no_affine[cutile-(4, 256)-torch.float16]": 0.2538209370002278,
+"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op_no_affine[cutile-(4, 256)-torch.float32]": 0.28986838300011186,
+"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op_no_affine[cutile-(8, 512)-torch.float32]": 0.26918499899989,
+"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op_with_offset[cutile-0.0-(4, 256)-torch.bfloat16]": 0.11506809699994847,
+"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op_with_offset[cutile-0.0-(4, 256)-torch.float16]": 0.12648265900020306,
+"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op_with_offset[cutile-0.0-(4, 256)-torch.float32]": 0.1379887680000138,
+"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op_with_offset[cutile-1.0-(4, 256)-torch.bfloat16]": 0.11373944400020264,
+"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op_with_offset[cutile-1.0-(4, 256)-torch.float16]": 0.11137984800029699,
+"tests/suites/liger/test_rms_norm.py::Test_Liger_RMSNorm::test_op_with_offset[cutile-1.0-(4, 256)-torch.float32]": 0.11250268100002359,
+"tests/suites/liger/test_rope.py::Test_Liger_Rope::test_op[cutile-False-(1, 2, 4, 48)-torch.float32]": 0.14806451500021467,
+"tests/suites/liger/test_rope.py::Test_Liger_Rope::test_op[cutile-False-(1, 4, 8, 128)-torch.float32]": 0.14940008900020985,
+"tests/suites/liger/test_rope.py::Test_Liger_Rope::test_op[cutile-False-(2, 8, 16, 64)-torch.bfloat16]": 0.33103476999986015,
+"tests/suites/liger/test_rope.py::Test_Liger_Rope::test_op[cutile-False-(2, 8, 16, 64)-torch.float16]": 0.2871423770002366,
+"tests/suites/liger/test_rope.py::Test_Liger_Rope::test_op[cutile-False-(2, 8, 16, 64)-torch.float32]": 0.29740655000000515,
+"tests/suites/liger/test_rope.py::Test_Liger_Rope::test_op[cutile-False-(3, 4, 7, 64)-torch.float32]": 0.2994834029998401,
+"tests/suites/liger/test_rope.py::Test_Liger_Rope::test_op[cutile-True-(1, 2, 4, 48)-torch.float32]": 0.32085046599968337,
+"tests/suites/liger/test_rope.py::Test_Liger_Rope::test_op[cutile-True-(1, 4, 8, 128)-torch.float32]": 0.3204222680003568,
+"tests/suites/liger/test_rope.py::Test_Liger_Rope::test_op[cutile-True-(2, 8, 16, 64)-torch.bfloat16]": 0.31671951399994214,
+"tests/suites/liger/test_rope.py::Test_Liger_Rope::test_op[cutile-True-(2, 8, 16, 64)-torch.float16]": 0.3164621440000701,
+"tests/suites/liger/test_rope.py::Test_Liger_Rope::test_op[cutile-True-(2, 8, 16, 64)-torch.float32]": 0.3202921959998548,
+"tests/suites/liger/test_rope.py::Test_Liger_Rope::test_op[cutile-True-(3, 4, 7, 64)-torch.float32]": 0.32473591300004045,
+"tests/suites/liger/test_rope.py::Test_Liger_Rope::test_op_backward[cutile-(1, 2, 4, 48)-torch.float32]": 0.4621127540001453,
+"tests/suites/liger/test_rope.py::Test_Liger_Rope::test_op_backward[cutile-(1, 4, 8, 128)-torch.float32]": 0.4914475959999436,
+"tests/suites/liger/test_rope.py::Test_Liger_Rope::test_op_backward[cutile-(2, 8, 16, 64)-torch.bfloat16]": 0.4908006540001679,
+"tests/suites/liger/test_rope.py::Test_Liger_Rope::test_op_backward[cutile-(2, 8, 16, 64)-torch.float16]": 0.48627481399989847,
+"tests/suites/liger/test_rope.py::Test_Liger_Rope::test_op_backward[cutile-(2, 8, 16, 64)-torch.float32]": 0.47184483199998795,
+"tests/suites/liger/test_rope.py::Test_Liger_Rope::test_op_backward[cutile-(3, 4, 7, 64)-torch.float32]": 0.4717392350000864,
+"tests/suites/liger/test_softmax.py::Test_Liger_Softmax::test_op[cutile-(1, 1023)-torch.float32]": 0.5382973960001891,
+"tests/suites/liger/test_softmax.py::Test_Liger_Softmax::test_op[cutile-(1, 2, 4096)-torch.float32]": 0.18303191199993307,
+"tests/suites/liger/test_softmax.py::Test_Liger_Softmax::test_op[cutile-(1, 4096)-torch.float32]": 0.6427053829997931,
+"tests/suites/liger/test_softmax.py::Test_Liger_Softmax::test_op[cutile-(2, 8)-torch.bfloat16]": 0.26397605000011026,
+"tests/suites/liger/test_softmax.py::Test_Liger_Softmax::test_op[cutile-(2, 8)-torch.float16]": 0.4610142949998135,
+"tests/suites/liger/test_softmax.py::Test_Liger_Softmax::test_op[cutile-(2, 8)-torch.float32]": 0.25998147199970845,
+"tests/suites/liger/test_softmax.py::Test_Liger_Softmax::test_op[cutile-(3, 7, 256)-torch.float32]": 0.5182063550000748,
+"tests/suites/liger/test_softmax.py::Test_Liger_Softmax::test_op[cutile-(4, 16)-torch.float32]": 0.24853540300000532,
+"tests/suites/liger/test_softmax.py::Test_Liger_Softmax::test_op_backward[cutile-(2, 8)-torch.bfloat16]": 0.284011400000054,
+"tests/suites/liger/test_softmax.py::Test_Liger_Softmax::test_op_backward[cutile-(2, 8)-torch.float16]": 0.3070293539999511,
+"tests/suites/liger/test_softmax.py::Test_Liger_Softmax::test_op_backward[cutile-(2, 8)-torch.float32]": 1.6024082050000743,
+"tests/suites/liger/test_softmax.py::Test_Liger_Softmax::test_op_backward[cutile-(4, 16)-torch.float32]": 1.6471393479998824,
+"tests/suites/liger/test_sparsemax.py::Test_Liger_Sparsemax::test_op[cutile-1-(2, 128, 512)-torch.float32]": 1.0011683570000969,
+"tests/suites/liger/test_sparsemax.py::Test_Liger_Sparsemax::test_op[cutile-1-(4, 256)-torch.float32]": 0.1273737350002193,
+"tests/suites/liger/test_sparsemax.py::Test_Liger_Sparsemax::test_op[cutile-1-(5, 123, 123)-torch.float32]": 0.17981326600011016,
+"tests/suites/liger/test_sparsemax.py::Test_Liger_Sparsemax::test_op[cutile-_1-(2, 128, 512)-torch.float32]": 1.1350244610000573,
+"tests/suites/liger/test_sparsemax.py::Test_Liger_Sparsemax::test_op[cutile-_1-(4, 256)-torch.float32]": 1.0189486849999412,
+"tests/suites/liger/test_sparsemax.py::Test_Liger_Sparsemax::test_op[cutile-_1-(5, 123, 123)-torch.float32]": 1.011290499000097,
+"tests/suites/liger/test_sparsemax.py::Test_Liger_Sparsemax::test_op_backward[cutile-(2, 128, 512)-torch.float32]": 0.9572454620001736,
+"tests/suites/liger/test_sparsemax.py::Test_Liger_Sparsemax::test_op_backward[cutile-(4, 256)-torch.float32]": 0.9103928590000123,
+"tests/suites/liger/test_swiglu.py::Test_Liger_SwiGLU::test_op_backward[cutile-(2, 256, 256)-torch.float32]": 0.28690337000011823,
+"tests/suites/liger/test_swiglu.py::Test_Liger_SwiGLU::test_op_backward[cutile-(2, 8, 8)-torch.float32]": 0.289853962000052,
+"tests/suites/liger/test_swiglu.py::Test_Liger_SwiGLU::test_op_backward[cutile-(4, 256)-torch.bfloat16]": 0.2803457760001038,
+"tests/suites/liger/test_swiglu.py::Test_Liger_SwiGLU::test_op_backward[cutile-(4, 256)-torch.float16]": 0.32730845999981284,
+"tests/suites/liger/test_swiglu.py::Test_Liger_SwiGLU::test_op_backward[cutile-(4, 256)-torch.float32]": 0.26260980899996866,
+"tests/suites/liger/test_swiglu.py::Test_Liger_SwiGLU::test_op_backward[cutile-(6, 42, 123)-torch.float32]": 0.28622839099989505,
+"tests/suites/liger/test_swiglu.py::Test_Liger_SwiGLU::test_op_backward[cutile-(9, 7, 41)-torch.float32]": 0.2667871799999375,
+"tests/suites/liger/test_swiglu.py::Test_Liger_SwiGLU::test_op_forward[cutile-(2, 256, 256)-torch.float32]": 0.2778251590000309,
+"tests/suites/liger/test_swiglu.py::Test_Liger_SwiGLU::test_op_forward[cutile-(2, 8, 8)-torch.float32]": 0.26936000399996374,
+"tests/suites/liger/test_swiglu.py::Test_Liger_SwiGLU::test_op_forward[cutile-(4, 256)-torch.bfloat16]": 0.24315653700023176,
+"tests/suites/liger/test_swiglu.py::Test_Liger_SwiGLU::test_op_forward[cutile-(4, 256)-torch.float16]": 0.2607352259999516,
+"tests/suites/liger/test_swiglu.py::Test_Liger_SwiGLU::test_op_forward[cutile-(4, 256)-torch.float32]": 0.28030754600013097,
+"tests/suites/liger/test_swiglu.py::Test_Liger_SwiGLU::test_op_forward[cutile-(4, 300)-torch.float32]": 0.2732141840001532,
+"tests/suites/liger/test_swiglu.py::Test_Liger_SwiGLU::test_op_forward[cutile-(6, 42, 123)-torch.float32]": 0.2722461049997946,
+"tests/suites/liger/test_swiglu.py::Test_Liger_SwiGLU::test_op_forward[cutile-(9, 7, 41)-torch.float32]": 0.23586890599995058,
+"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_backward[cutile-2-1-1024-128]": 0.13164199899983942,
+"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_backward[cutile-2-2-512-512]": 0.121684691000155,
+"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_backward[cutile-2-4-127-128]": 0.12781417300016074,
+"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_backward[cutile-4-1-1024-128]": 0.12221681100004389,
+"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_backward[cutile-4-2-512-512]": 0.11985435299970959,
+"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_backward[cutile-4-4-127-128]": 0.11694297899975936,
+"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_backward[cutile-None-1-1024-128]": 0.13716880499987383,
+"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_backward[cutile-None-2-512-512]": 0.11517675599998256,
+"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_backward[cutile-None-4-127-128]": 0.12203612000030262,
+"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-False-2-1-1024-128]": 0.11780982700020104,
+"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-False-2-1-1024-256]": 0.11324542499983181,
+"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-False-2-2-1024-64]": 0.11220363300003555,
+"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-False-2-2-512-512]": 0.11714988600010656,
+"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-False-2-4-127-128]": 0.10644171300009475,
+"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-False-4-1-1024-128]": 0.11644261700030256,
+"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-False-4-1-1024-256]": 0.1155971480000062,
+"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-False-4-2-1024-64]": 0.1224396479999541,
+"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-False-4-2-512-512]": 0.12543281099965498,
+"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-False-4-4-127-128]": 0.11555283199982114,
+"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-False-None-1-1024-128]": 0.11374714799967478,
+"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-False-None-1-1024-256]": 0.11212461200011603,
+"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-False-None-2-1024-64]": 0.1213401900001827,
+"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-False-None-2-512-512]": 0.17191092500024752,
+"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-False-None-4-127-128]": 0.1525968329999614,
+"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-True-2-1-1024-128]": 0.12995087799981775,
+"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-True-2-1-1024-256]": 0.12215328899992528,
+"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-True-2-2-1024-64]": 0.13087242199958382,
+"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-True-2-2-512-512]": 0.1237995139999839,
+"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-True-2-4-127-128]": 0.13298157100007302,
+"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-True-4-1-1024-128]": 0.14108535799982747,
+"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-True-4-1-1024-256]": 0.12074067399998967,
+"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-True-4-2-1024-64]": 0.1196752179998839,
+"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-True-4-2-512-512]": 0.12127746700025455,
+"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-True-4-4-127-128]": 0.11530147399980706,
+"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-True-None-1-1024-128]": 0.15395548500009681,
+"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-True-None-1-1024-256]": 0.1305637409998326,
+"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-True-None-2-1024-64]": 0.13272484799972517,
+"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-True-None-2-512-512]": 0.14259763600011865,
+"tests/suites/liger/test_tiled_mlp.py::Test_Liger_TiledMLP::test_op_forward[cutile-True-None-4-127-128]": 0.14104649199998676,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.bfloat16-0.001-0.001-batchmean-1-4096-32000]": 2.3963657070003137,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.bfloat16-0.001-0.001-batchmean-3-423-32000]": 2.4067707310000515,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.bfloat16-0.001-0.001-batchmean-41-401-1271]": 0.46391817599987917,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.bfloat16-0.001-0.001-mean-1-4096-32000]": 2.4160706350000964,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.bfloat16-0.001-0.001-mean-3-423-32000]": 2.449311480999768,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.bfloat16-0.001-0.001-mean-41-401-1271]": 0.46621457800006283,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.bfloat16-0.001-0.001-none-1-4096-32000]": 0.8019976080001925,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.bfloat16-0.001-0.001-none-3-423-32000]": 0.7977636410000741,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.bfloat16-0.001-0.001-none-41-401-1271]": 0.3964875649999158,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.bfloat16-0.001-0.001-sum-1-4096-32000]": 2.4296290659999613,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.bfloat16-0.001-0.001-sum-3-423-32000]": 2.410071918999847,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.bfloat16-0.001-0.001-sum-41-401-1271]": 0.45654050100006316,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.float32-1e_05-1e_05-batchmean-1-4096-32000]": 3.1139077779998843,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.float32-1e_05-1e_05-batchmean-3-423-32000]": 3.3907514720001473,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.float32-1e_05-1e_05-batchmean-41-401-1271]": 0.40531875199962997,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.float32-1e_05-1e_05-mean-1-4096-32000]": 3.2691666709999936,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.float32-1e_05-1e_05-mean-3-423-32000]": 3.2280259040001056,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.float32-1e_05-1e_05-mean-41-401-1271]": 0.3853187769998385,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.float32-1e_05-1e_05-none-1-4096-32000]": 0.5174478490000638,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.float32-1e_05-1e_05-none-3-423-32000]": 0.5321310140000151,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.float32-1e_05-1e_05-none-41-401-1271]": 0.3952631729998757,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.float32-1e_05-1e_05-sum-1-4096-32000]": 3.312431220999997,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.float32-1e_05-1e_05-sum-3-423-32000]": 3.322168808000015,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op[cutile-torch.float32-1e_05-1e_05-sum-41-401-1271]": 0.37780790600004366,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_backward[cutile-batchmean-1-4096-32000]": 0.20756820999986303,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_backward[cutile-batchmean-3-423-32000]": 0.186742034999952,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_backward[cutile-batchmean-41-401-1271]": 0.1871670160001031,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_backward[cutile-mean-1-4096-32000]": 0.2026942150002924,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_backward[cutile-mean-3-423-32000]": 0.13782045199991444,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_backward[cutile-mean-41-401-1271]": 0.18059575500001301,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_backward[cutile-sum-1-4096-32000]": 0.17031798099992557,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_backward[cutile-sum-3-423-32000]": 0.18126117499991778,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_backward[cutile-sum-41-401-1271]": 0.21123652799997217,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-0-batchmean-1-4096-32000]": 1.7499469760000466,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-0-batchmean-3-423-32000]": 1.732199645000037,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-0-batchmean-41-401-1271]": 0.3706986929998948,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-0-mean-1-4096-32000]": 1.801390837999861,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-0-mean-3-423-32000]": 1.762943019999966,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-0-mean-41-401-1271]": 0.37081132599996636,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-0-none-1-4096-32000]": 0.6002642099999775,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-0-none-3-423-32000]": 0.5949185749998378,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-0-none-41-401-1271]": 0.3877985799999806,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-0-sum-1-4096-32000]": 1.7576413559997945,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-0-sum-3-423-32000]": 1.7240619460001199,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-0-sum-41-401-1271]": 0.37287977500000125,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-1-batchmean-1-4096-32000]": 1.744261196000025,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-1-batchmean-3-423-32000]": 1.7549434350000865,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-1-batchmean-41-401-1271]": 0.3822373719999632,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-1-mean-1-4096-32000]": 1.7445912830000907,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-1-mean-3-423-32000]": 1.736095659000057,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-1-mean-41-401-1271]": 0.36072120800008634,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-1-none-1-4096-32000]": 0.6788779890000569,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-1-none-3-423-32000]": 0.6926008469997669,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-1-none-41-401-1271]": 0.380677169999899,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-1-sum-1-4096-32000]": 1.7194100709998565,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-1-sum-3-423-32000]": 1.7637515819999408,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-1-sum-41-401-1271]": 0.39016386199978115,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-_100-batchmean-1-4096-32000]": 1.7778547540001455,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-_100-batchmean-3-423-32000]": 1.7424460410002212,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-_100-batchmean-41-401-1271]": 0.3979735959999289,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-_100-mean-1-4096-32000]": 1.7774966479998966,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-_100-mean-3-423-32000]": 1.7947943150002175,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-_100-mean-41-401-1271]": 0.3731381330003387,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-_100-none-1-4096-32000]": 0.58487697999999,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-_100-none-3-423-32000]": 0.6055744679999862,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-_100-none-41-401-1271]": 0.4077343720000499,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-_100-sum-1-4096-32000]": 1.7546644620001643,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-_100-sum-3-423-32000]": 1.7657134009998572,
+"tests/suites/liger/test_tvd.py::Test_Liger_TVD::test_op_with_ignore_index[cutile-_100-sum-41-401-1271]": 0.3951117499998418,
+"tests/suites/unsloth/test_cross_entropy_loss.py::Test_Unsloth_CrossEntropyLoss::test_op_all_ignored[cutile]": 0.10643258300001435,
+"tests/suites/unsloth/test_cross_entropy_loss.py::Test_Unsloth_CrossEntropyLoss::test_op_backward[cutile-torch.bfloat16-1-64-32000]": 0.1346427710000171,
+"tests/suites/unsloth/test_cross_entropy_loss.py::Test_Unsloth_CrossEntropyLoss::test_op_backward[cutile-torch.bfloat16-2-32-1024]": 0.10942271199996867,
+"tests/suites/unsloth/test_cross_entropy_loss.py::Test_Unsloth_CrossEntropyLoss::test_op_backward[cutile-torch.float16-1-64-32000]": 0.12788744100021177,
+"tests/suites/unsloth/test_cross_entropy_loss.py::Test_Unsloth_CrossEntropyLoss::test_op_backward[cutile-torch.float16-2-32-1024]": 0.12876734600035888,
+"tests/suites/unsloth/test_cross_entropy_loss.py::Test_Unsloth_CrossEntropyLoss::test_op_backward_large_vocab[cutile-torch.bfloat16-1-16-100000]": 0.12801383000009992,
+"tests/suites/unsloth/test_cross_entropy_loss.py::Test_Unsloth_CrossEntropyLoss::test_op_backward_large_vocab[cutile-torch.bfloat16-2-8-128256]": 0.1417221479998716,
+"tests/suites/unsloth/test_cross_entropy_loss.py::Test_Unsloth_CrossEntropyLoss::test_op_backward_logit_scaling[cutile-torch.bfloat16-2-16-1024]": 0.1244458300000133,
+"tests/suites/unsloth/test_cross_entropy_loss.py::Test_Unsloth_CrossEntropyLoss::test_op_backward_softcapping[cutile-torch.bfloat16-2-16-1024]": 0.16663444900018476,
+"tests/suites/unsloth/test_cross_entropy_loss.py::Test_Unsloth_CrossEntropyLoss::test_op_basic[cutile-torch.bfloat16-1-128-50257]": 1.4502032020000115,
+"tests/suites/unsloth/test_cross_entropy_loss.py::Test_Unsloth_CrossEntropyLoss::test_op_basic[cutile-torch.bfloat16-2-64-1024]": 0.11492556199982573,
+"tests/suites/unsloth/test_cross_entropy_loss.py::Test_Unsloth_CrossEntropyLoss::test_op_basic[cutile-torch.bfloat16-4-32-32000]": 0.3639927389999684,
+"tests/suites/unsloth/test_cross_entropy_loss.py::Test_Unsloth_CrossEntropyLoss::test_op_basic[cutile-torch.float16-1-128-50257]": 1.303670952999937,
+"tests/suites/unsloth/test_cross_entropy_loss.py::Test_Unsloth_CrossEntropyLoss::test_op_basic[cutile-torch.float16-2-64-1024]": 0.13697904399987237,
+"tests/suites/unsloth/test_cross_entropy_loss.py::Test_Unsloth_CrossEntropyLoss::test_op_basic[cutile-torch.float16-4-32-32000]": 0.30977497399999265,
+"tests/suites/unsloth/test_cross_entropy_loss.py::Test_Unsloth_CrossEntropyLoss::test_op_large_vocab[cutile-torch.bfloat16-1-16-100000]": 0.1659328920002281,
+"tests/suites/unsloth/test_cross_entropy_loss.py::Test_Unsloth_CrossEntropyLoss::test_op_large_vocab[cutile-torch.bfloat16-2-8-128256]": 0.14924699800008057,
+"tests/suites/unsloth/test_cross_entropy_loss.py::Test_Unsloth_CrossEntropyLoss::test_op_logit_scaling[cutile-torch.bfloat16-2-16-1024]": 0.11689933299999211,
+"tests/suites/unsloth/test_cross_entropy_loss.py::Test_Unsloth_CrossEntropyLoss::test_op_softcapping[cutile-torch.bfloat16-2-16-1024]": 0.13650893300018652,
+"tests/suites/unsloth/test_fp8.py::Test_Unsloth_ActQuant::test_op[cutile-(1024, 4096)-128]": 0.0020710339997549454,
+"tests/suites/unsloth/test_fp8.py::Test_Unsloth_ActQuant::test_op[cutile-(128, 512)-128]": 0.0021341460001167434,
+"tests/suites/unsloth/test_fp8.py::Test_Unsloth_ActQuant::test_op[cutile-(2048, 8192)-128]": 0.0029051960002561827,
+"tests/suites/unsloth/test_fp8.py::Test_Unsloth_ActQuant::test_op[cutile-(256, 256)-128]": 0.09977435299970239,
+"tests/suites/unsloth/test_fp8.py::Test_Unsloth_ActQuant::test_op[cutile-(64, 1024)-128]": 0.002429763999998613,
+"tests/suites/unsloth/test_fp8.py::Test_Unsloth_ActQuant::test_op_non_square[cutile-(128, 384)-128]": 0.0019941959999414394,
+"tests/suites/unsloth/test_fp8.py::Test_Unsloth_ActQuant::test_op_non_square[cutile-(256, 128)-128]": 0.001983014000188632,
+"tests/suites/unsloth/test_fp8.py::Test_Unsloth_W8A8_FP8_Matmul::test_op[cutile-1024-2048-1024-[128, 128]]": 0.7907281029997648,
+"tests/suites/unsloth/test_fp8.py::Test_Unsloth_W8A8_FP8_Matmul::test_op[cutile-128-128-128-[128, 128]]": 0.37621337100040364,
+"tests/suites/unsloth/test_fp8.py::Test_Unsloth_W8A8_FP8_Matmul::test_op[cutile-256-256-256-[128, 128]]": 0.5449048670000138,
+"tests/suites/unsloth/test_fp8.py::Test_Unsloth_W8A8_FP8_Matmul::test_op[cutile-512-1024-512-[128, 128]]": 0.6674356100002115,
+"tests/suites/unsloth/test_fp8.py::Test_Unsloth_WeightDequant::test_op[cutile-2048-4096-128]": 0.34191605799969693,
+"tests/suites/unsloth/test_fp8.py::Test_Unsloth_WeightDequant::test_op[cutile-256-256-128]": 0.3227246780002133,
+"tests/suites/unsloth/test_fp8.py::Test_Unsloth_WeightDequant::test_op[cutile-384-768-128]": 0.3043582039999819,
+"tests/suites/unsloth/test_fp8.py::Test_Unsloth_WeightDequant::test_op[cutile-4096-8192-128]": 0.39701989900004264,
+"tests/suites/unsloth/test_fp8.py::Test_Unsloth_WeightDequant::test_op[cutile-512-1024-128]": 0.3007438079998792,
+"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Approx_Backward::test_op[cutile-torch.bfloat16-1024-1024]": 0.12272111500010396,
+"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Approx_Backward::test_op[cutile-torch.bfloat16-2048-5120]": 0.14968760799979464,
+"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Approx_Backward::test_op[cutile-torch.bfloat16-256-512]": 0.13239060899991273,
+"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Approx_Backward::test_op[cutile-torch.bfloat16-4096-8192]": 0.17947015300001112,
+"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Approx_Backward::test_op[cutile-torch.float16-1024-1024]": 0.11700647400016351,
+"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Approx_Backward::test_op[cutile-torch.float16-2048-5120]": 0.139992785000004,
+"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Approx_Backward::test_op[cutile-torch.float16-256-512]": 0.1321106969999164,
+"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Approx_Backward::test_op[cutile-torch.float16-4096-8192]": 0.1887094290002551,
+"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Approx_Forward::test_op[cutile-torch.bfloat16-(1, 1, 1024)]": 0.4608113880001383,
+"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Approx_Forward::test_op[cutile-torch.bfloat16-(2, 1024, 8192)]": 0.4443646280001303,
+"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Approx_Forward::test_op[cutile-torch.bfloat16-(2, 128, 256)]": 0.4681790979998368,
+"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Approx_Forward::test_op[cutile-torch.bfloat16-(2, 256, 4096)]": 0.4107959599998594,
+"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Approx_Forward::test_op[cutile-torch.bfloat16-(4, 512, 5120)]": 0.48538764499994613,
+"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Approx_Forward::test_op[cutile-torch.bfloat16-(4, 64, 512)]": 0.4297266959999888,
+"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Approx_Forward::test_op[cutile-torch.float16-(1, 1, 1024)]": 0.4562913360002767,
+"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Approx_Forward::test_op[cutile-torch.float16-(2, 1024, 8192)]": 0.4396022579999226,
+"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Approx_Forward::test_op[cutile-torch.float16-(2, 128, 256)]": 0.41373692599995593,
+"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Approx_Forward::test_op[cutile-torch.float16-(2, 256, 4096)]": 0.4325488930001029,
+"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Approx_Forward::test_op[cutile-torch.float16-(4, 512, 5120)]": 0.43768110200016963,
+"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Approx_Forward::test_op[cutile-torch.float16-(4, 64, 512)]": 0.4635557830001744,
+"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Exact_Backward::test_op[cutile-torch.bfloat16-1024-1024]": 0.1303679979998833,
+"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Exact_Backward::test_op[cutile-torch.bfloat16-2048-5120]": 0.15927560600016477,
+"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Exact_Backward::test_op[cutile-torch.bfloat16-256-512]": 0.13827908399980515,
+"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Exact_Backward::test_op[cutile-torch.bfloat16-4096-8192]": 0.1961437450001995,
+"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Exact_Backward::test_op[cutile-torch.float16-1024-1024]": 0.12067982999997184,
+"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Exact_Backward::test_op[cutile-torch.float16-2048-5120]": 0.15114925899979426,
+"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Exact_Backward::test_op[cutile-torch.float16-256-512]": 0.11287925399983578,
+"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Exact_Backward::test_op[cutile-torch.float16-4096-8192]": 0.2137590470001669,
+"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Exact_Forward::test_op[cutile-torch.bfloat16-(1, 1, 1024)]": 0.511829268999918,
+"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Exact_Forward::test_op[cutile-torch.bfloat16-(2, 1024, 8192)]": 0.491285396999956,
+"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Exact_Forward::test_op[cutile-torch.bfloat16-(2, 128, 256)]": 0.45982208200007335,
+"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Exact_Forward::test_op[cutile-torch.bfloat16-(2, 256, 4096)]": 0.5165122789999259,
+"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Exact_Forward::test_op[cutile-torch.bfloat16-(4, 512, 5120)]": 0.48751242399998773,
+"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Exact_Forward::test_op[cutile-torch.bfloat16-(4, 64, 512)]": 0.471550616000286,
+"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Exact_Forward::test_op[cutile-torch.float16-(1, 1, 1024)]": 0.5394490759999826,
+"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Exact_Forward::test_op[cutile-torch.float16-(2, 1024, 8192)]": 0.5598562489997221,
+"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Exact_Forward::test_op[cutile-torch.float16-(2, 128, 256)]": 0.4875103180002043,
+"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Exact_Forward::test_op[cutile-torch.float16-(2, 256, 4096)]": 0.5568824380000024,
+"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Exact_Forward::test_op[cutile-torch.float16-(4, 512, 5120)]": 0.5351899670001785,
+"tests/suites/unsloth/test_geglu.py::Test_Unsloth_GEGLU_Exact_Forward::test_op[cutile-torch.float16-(4, 64, 512)]": 0.49158338100005494,
+"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_backward_W_grad[cutile-torch.bfloat16-4-16-64-64-1]": 0.004000493999910759,
+"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_backward_W_grad[cutile-torch.bfloat16-4-32-128-128-1]": 0.006322024000155579,
+"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_backward_W_grad[cutile-torch.bfloat16-8-64-512-256-1]": 9.068227828000317,
+"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_backward_W_grad[cutile-torch.float16-4-16-64-64-1]": 0.009299411000256441,
+"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_backward_W_grad[cutile-torch.float16-4-32-128-128-1]": 0.004358684999715479,
+"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_backward_W_grad[cutile-torch.float16-8-64-512-256-1]": 0.0038410679997014086,
+"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_backward_W_grad_topk4[cutile-torch.bfloat16-4-16-128-128-4]": 0.005938785999887841,
+"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_backward_W_grad_topk4[cutile-torch.bfloat16-8-8-256-128-4]": 0.0037717179998253414,
+"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_backward_X_grad[cutile-torch.bfloat16-4-16-64-64-1]": 7.20765225900027,
+"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_backward_X_grad[cutile-torch.bfloat16-4-32-128-128-1]": 6.059269202999758,
+"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_backward_X_grad[cutile-torch.bfloat16-8-64-512-256-1]": 0.3545978369998011,
+"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_backward_X_grad[cutile-torch.float16-4-16-64-64-1]": 7.5302963930000715,
+"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_backward_X_grad[cutile-torch.float16-4-32-128-128-1]": 6.382286413999736,
+"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_backward_X_grad[cutile-torch.float16-8-64-512-256-1]": 9.19288995900024,
+"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_backward_X_grad_topk4[cutile-torch.bfloat16-4-16-128-128-4]": 6.166739873999859,
+"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_backward_X_grad_topk4[cutile-torch.bfloat16-8-8-256-128-4]": 7.27160049500003,
+"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_deterministic[cutile-8-32-256-128]": 1.8552734929999133,
+"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_edge_cases[cutile-torch.bfloat16-[0, 0, 0, 64]-64-64]": 0.002380937999987509,
+"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_edge_cases[cutile-torch.bfloat16-[128]-256-128]": 2.268459390999851,
+"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_edge_cases[cutile-torch.bfloat16-[32, 16, 8, 8]-64-64]": 0.36988941599997816,
+"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_edge_cases[cutile-torch.bfloat16-[64, 0, 32, 0]-128-128]": 1.685869485000012,
+"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_forward[cutile-torch.bfloat16-16-16-768-512-1]": 4.506437887999937,
+"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_forward[cutile-torch.bfloat16-16-32-2048-1024-1]": 9.449829880000152,
+"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_forward[cutile-torch.bfloat16-4-16-64-64-1]": 1.1295303900001272,
+"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_forward[cutile-torch.bfloat16-4-32-128-128-1]": 1.6619065670001874,
+"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_forward[cutile-torch.bfloat16-8-16-128-128-2]": 1.6970806150000044,
+"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_forward[cutile-torch.bfloat16-8-64-512-256-1]": 2.815651657999979,
+"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_forward[cutile-torch.bfloat16-8-8-64-128-1]": 1.3910798280001018,
+"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_forward[cutile-torch.float16-16-16-768-512-1]": 4.692705902999933,
+"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_forward[cutile-torch.float16-16-32-2048-1024-1]": 9.680180314000154,
+"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_forward[cutile-torch.float16-4-16-64-64-1]": 1.1867182669998328,
+"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_forward[cutile-torch.float16-4-32-128-128-1]": 1.6312602339999103,
+"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_forward[cutile-torch.float16-8-16-128-128-2]": 1.7988976389999607,
+"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_forward[cutile-torch.float16-8-64-512-256-1]": 2.831460040000138,
+"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_forward[cutile-torch.float16-8-8-64-128-1]": 1.4002242879998903,
+"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_forward_large[cutile-torch.bfloat16-128-8-768-512-1]": 6.754288590999749,
+"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_forward_topk4[cutile-torch.bfloat16-4-16-128-128-4]": 1.6471807300004002,
+"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_forward_topk4[cutile-torch.bfloat16-8-8-256-128-4]": 1.805556832999855,
+"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_forward_upstream_model[cutile-torch.bfloat16-128-8-768-2048-8]": 4.451911845000041,
+"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_forward_upstream_model[cutile-torch.bfloat16-16-64-8192-5120-1]": 3.0195371340000747,
+"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_non_power_of_2[cutile-torch.bfloat16-4-20-300-192]": 2.707516299999952,
+"tests/suites/unsloth/test_grouped_gemm.py::Test_Unsloth_GroupedGemm::test_op_non_power_of_2[cutile-torch.bfloat16-8-13-100-96]": 2.0940819120000924,
+"tests/suites/unsloth/test_layernorm.py::Test_Unsloth_Layernorm::test_op[cutile-torch.bfloat16-(16, 1024)]": 0.551553401999854,
+"tests/suites/unsloth/test_layernorm.py::Test_Unsloth_Layernorm::test_op[cutile-torch.bfloat16-(2, 4, 512)]": 0.01192161600010877,
+"tests/suites/unsloth/test_layernorm.py::Test_Unsloth_Layernorm::test_op[cutile-torch.bfloat16-(21, 349, 1024)]": 0.49185146199988594,
+"tests/suites/unsloth/test_layernorm.py::Test_Unsloth_Layernorm::test_op[cutile-torch.bfloat16-(32, 4096)]": 0.62985175599988,
+"tests/suites/unsloth/test_layernorm.py::Test_Unsloth_Layernorm::test_op[cutile-torch.bfloat16-(4, 256)]": 0.5066419849997601,
+"tests/suites/unsloth/test_layernorm.py::Test_Unsloth_Layernorm::test_op[cutile-torch.bfloat16-(4, 300)]": 0.7906694009996045,
+"tests/suites/unsloth/test_layernorm.py::Test_Unsloth_Layernorm::test_op[cutile-torch.bfloat16-(8, 512)]": 0.517042765000042,
+"tests/suites/unsloth/test_layernorm.py::Test_Unsloth_Layernorm::test_op[cutile-torch.float16-(16, 1024)]": 0.5684438090002004,
+"tests/suites/unsloth/test_layernorm.py::Test_Unsloth_Layernorm::test_op[cutile-torch.float16-(2, 4, 512)]": 0.003026333999741837,
+"tests/suites/unsloth/test_layernorm.py::Test_Unsloth_Layernorm::test_op[cutile-torch.float16-(21, 349, 1024)]": 0.5205421339999248,
+"tests/suites/unsloth/test_layernorm.py::Test_Unsloth_Layernorm::test_op[cutile-torch.float16-(32, 4096)]": 0.6438428950000343,
+"tests/suites/unsloth/test_layernorm.py::Test_Unsloth_Layernorm::test_op[cutile-torch.float16-(4, 256)]": 0.14036057399994206,
+"tests/suites/unsloth/test_layernorm.py::Test_Unsloth_Layernorm::test_op[cutile-torch.float16-(4, 300)]": 0.7728567079998356,
+"tests/suites/unsloth/test_layernorm.py::Test_Unsloth_Layernorm::test_op[cutile-torch.float16-(8, 512)]": 0.5420525540000654,
+"tests/suites/unsloth/test_layernorm.py::Test_Unsloth_Layernorm::test_op_backward[cutile-(2, 4, 512)-torch.bfloat16]": 0.005983414000183984,
+"tests/suites/unsloth/test_layernorm.py::Test_Unsloth_Layernorm::test_op_backward[cutile-(4, 2048)-torch.bfloat16]": 1.1412358200000199,
+"tests/suites/unsloth/test_layernorm.py::Test_Unsloth_Layernorm::test_op_backward[cutile-(4, 256)-torch.float16]": 1.0789142370003901,
+"tests/suites/unsloth/test_layernorm.py::Test_Unsloth_Layernorm::test_op_backward[cutile-(4, 256)-torch.float32]": 1.0237691380000342,
+"tests/suites/unsloth/test_layernorm.py::Test_Unsloth_Layernorm::test_op_backward[cutile-(8, 512)-torch.bfloat16]": 0.49453834799987817,
+"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_backward[cutile-(2, 4, 512)-torch.bfloat16]": 0.43357582999988153,
+"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_backward[cutile-(4, 2048)-torch.bfloat16]": 1.1471261530000447,
+"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_backward[cutile-(4, 256)-torch.float16]": 0.6107487809999839,
+"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_backward[cutile-(4, 256)-torch.float32]": 0.8974765999998908,
+"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_backward[cutile-(8, 512)-torch.bfloat16]": 0.4886095990002559,
+"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_backward_gemma[cutile-(16, 1024)-torch.bfloat16]": 0.5001845780002441,
+"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_backward_gemma[cutile-(2, 4, 512)-torch.bfloat16]": 0.4472022110001035,
+"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_backward_gemma[cutile-(4, 256)-torch.float16]": 0.47412870500011195,
+"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_backward_gemma[cutile-(8, 512)-torch.bfloat16]": 0.29868575800014696,
+"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_gemma[cutile-torch.bfloat16-(16, 1024)]": 0.4642234540001482,
+"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_gemma[cutile-torch.bfloat16-(4, 256)]": 0.6975096179999127,
+"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_gemma[cutile-torch.bfloat16-(8, 512)]": 0.46838547899983496,
+"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_gemma[cutile-torch.float16-(16, 1024)]": 0.46578408000004856,
+"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_gemma[cutile-torch.float16-(4, 256)]": 0.46823280299986436,
+"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_gemma[cutile-torch.float16-(8, 512)]": 0.5080771360001108,
+"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_standard[cutile-torch.bfloat16-(16, 1024)]": 0.4772752670000955,
+"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_standard[cutile-torch.bfloat16-(2, 4, 512)]": 0.0029651840000042284,
+"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_standard[cutile-torch.bfloat16-(21, 349, 1024)]": 0.4339795729997604,
+"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_standard[cutile-torch.bfloat16-(32, 4096)]": 0.5106560530000479,
+"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_standard[cutile-torch.bfloat16-(4, 256)]": 0.42499298200004887,
+"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_standard[cutile-torch.bfloat16-(4, 300)]": 0.7013526579999052,
+"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_standard[cutile-torch.bfloat16-(8, 512)]": 0.46462053100003686,
+"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_standard[cutile-torch.float16-(16, 1024)]": 0.44871531499984485,
+"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_standard[cutile-torch.float16-(2, 4, 512)]": 0.002801042999863057,
+"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_standard[cutile-torch.float16-(21, 349, 1024)]": 0.454227845999867,
+"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_standard[cutile-torch.float16-(32, 4096)]": 0.5159362840001904,
+"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_standard[cutile-torch.float16-(4, 256)]": 0.4333344589999797,
+"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_standard[cutile-torch.float16-(4, 300)]": 0.5644704500000444,
+"tests/suites/unsloth/test_rms_layernorm.py::Test_Unsloth_RMSLayernorm::test_op_standard[cutile-torch.float16-(8, 512)]": 0.40975935900019067,
+"tests/suites/unsloth/test_rope_embedding.py::Test_Unsloth_RoPE_Embedding::test_op[cutile-torch.bfloat16-1-128-4-128]": 0.4725974479999877,
+"tests/suites/unsloth/test_rope_embedding.py::Test_Unsloth_RoPE_Embedding::test_op[cutile-torch.bfloat16-2-64-8-64]": 0.4446813839999777,
+"tests/suites/unsloth/test_rope_embedding.py::Test_Unsloth_RoPE_Embedding::test_op[cutile-torch.bfloat16-4-32-16-64]": 0.4256797890002417,
+"tests/suites/unsloth/test_rope_embedding.py::Test_Unsloth_RoPE_Embedding::test_op[cutile-torch.float16-1-128-4-128]": 0.45666189099983967,
+"tests/suites/unsloth/test_rope_embedding.py::Test_Unsloth_RoPE_Embedding::test_op[cutile-torch.float16-2-64-8-64]": 0.42383002800033864,
+"tests/suites/unsloth/test_rope_embedding.py::Test_Unsloth_RoPE_Embedding::test_op[cutile-torch.float16-4-32-16-64]": 0.44675800300001356,
+"tests/suites/unsloth/test_rope_embedding.py::Test_Unsloth_RoPE_Embedding::test_op_backward[cutile-torch.bfloat16-1-128-4-128]": 0.5092232209999565,
+"tests/suites/unsloth/test_rope_embedding.py::Test_Unsloth_RoPE_Embedding::test_op_backward[cutile-torch.bfloat16-2-64-8-64]": 0.4096397790003721,
+"tests/suites/unsloth/test_rope_embedding.py::Test_Unsloth_RoPE_Embedding::test_op_backward[cutile-torch.float16-1-128-4-128]": 0.24650632699990638,
+"tests/suites/unsloth/test_rope_embedding.py::Test_Unsloth_RoPE_Embedding::test_op_backward[cutile-torch.float16-2-64-8-64]": 0.24778251800012185,
+"tests/suites/unsloth/test_rope_embedding.py::Test_Unsloth_RoPE_Embedding_QK::test_op[cutile-torch.bfloat16-1-32-8-128-128]": 0.7906115729997509,
+"tests/suites/unsloth/test_rope_embedding.py::Test_Unsloth_RoPE_Embedding_QK::test_op[cutile-torch.bfloat16-2-8-8-64-64]": 0.4564239170001656,
+"tests/suites/unsloth/test_rope_embedding.py::Test_Unsloth_RoPE_Embedding_QK::test_op[cutile-torch.bfloat16-4-16-4-32-64]": 0.47587005899981705,
+"tests/suites/unsloth/test_rope_embedding.py::Test_Unsloth_RoPE_Embedding_QK::test_op[cutile-torch.float16-1-32-8-128-128]": 0.532600470000034,
+"tests/suites/unsloth/test_rope_embedding.py::Test_Unsloth_RoPE_Embedding_QK::test_op[cutile-torch.float16-2-8-8-64-64]": 0.5867109830001027,
+"tests/suites/unsloth/test_rope_embedding.py::Test_Unsloth_RoPE_Embedding_QK::test_op[cutile-torch.float16-4-16-4-32-64]": 0.7815458899999612,
+"tests/suites/unsloth/test_rope_embedding.py::Test_Unsloth_RoPE_Embedding_QK::test_op_backward[cutile-torch.bfloat16-1-32-8-128-128]": 0.1266119469999012,
+"tests/suites/unsloth/test_rope_embedding.py::Test_Unsloth_RoPE_Embedding_QK::test_op_backward[cutile-torch.bfloat16-2-8-8-64-64]": 0.29767453599970395,
+"tests/suites/unsloth/test_rope_embedding.py::Test_Unsloth_RoPE_Embedding_QK::test_op_backward[cutile-torch.float16-1-32-8-128-128]": 0.1402070700000877,
+"tests/suites/unsloth/test_rope_embedding.py::Test_Unsloth_RoPE_Embedding_QK::test_op_backward[cutile-torch.float16-2-8-8-64-64]": 0.1039421630000561,
+"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Backward::test_op[cutile-torch.bfloat16-1024-1024]": 0.10505347600019377,
+"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Backward::test_op[cutile-torch.bfloat16-2048-5120]": 0.13023441299992555,
+"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Backward::test_op[cutile-torch.bfloat16-256-512]": 0.10998476999998275,
+"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Backward::test_op[cutile-torch.bfloat16-4096-8192]": 0.21027183399974092,
+"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Backward::test_op[cutile-torch.bfloat16-512-4096]": 0.09905954999999267,
+"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Backward::test_op[cutile-torch.float16-1024-1024]": 0.12051927399988926,
+"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Backward::test_op[cutile-torch.float16-2048-5120]": 0.13118645000008655,
+"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Backward::test_op[cutile-torch.float16-256-512]": 0.11340593199997784,
+"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Backward::test_op[cutile-torch.float16-4096-8192]": 0.17643650299987712,
+"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Backward::test_op[cutile-torch.float16-512-4096]": 0.1338370259995827,
+"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Forward::test_op[cutile-torch.bfloat16-(1, 1, 1024)]": 0.47475520399984816,
+"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Forward::test_op[cutile-torch.bfloat16-(2, 1024, 8192)]": 0.3856297019997328,
+"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Forward::test_op[cutile-torch.bfloat16-(2, 128, 256)]": 0.4769217699999899,
+"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Forward::test_op[cutile-torch.bfloat16-(2, 256, 4096)]": 0.39959453999995276,
+"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Forward::test_op[cutile-torch.bfloat16-(4, 512, 5120)]": 0.4094676219997382,
+"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Forward::test_op[cutile-torch.bfloat16-(4, 64, 512)]": 0.4333892530000867,
+"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Forward::test_op[cutile-torch.float16-(1, 1, 1024)]": 0.45221171099979074,
+"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Forward::test_op[cutile-torch.float16-(2, 1024, 8192)]": 0.45709167899985914,
+"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Forward::test_op[cutile-torch.float16-(2, 128, 256)]": 0.3822638439999082,
+"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Forward::test_op[cutile-torch.float16-(2, 256, 4096)]": 0.47066368999981023,
+"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Forward::test_op[cutile-torch.float16-(4, 512, 5120)]": 0.3875443270001142,
+"tests/suites/unsloth/test_swiglu.py::Test_Unsloth_SwiGLU_Forward::test_op[cutile-torch.float16-(4, 64, 512)]": 0.4064753049999581
 }