Move the Linux CI jobs to OSDC runners

.github/workflows/linux_cpu_kineto.yml

@@ -15,10 +15,10 @@ permissions:
 
 jobs:
   pr-test:
-    uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
+    uses: pytorch/test-infra/.github/workflows/linux_job_v3.yml@main
     with:
       job-name: linux-cpu-kineto-build-and-test
-      runner: linux.12xlarge
+      runner: mt-l-x86iavx512-48-384
       timeout: 180
       # Checkout the Kineto repo at the PR ref with submodules
       repository: ${{ github.repository }}

.github/workflows/linux_cpu_pytorch.yml

@@ -15,10 +15,10 @@ permissions:
 
 jobs:
   pr-test:
-    uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
+    uses: pytorch/test-infra/.github/workflows/linux_job_v3.yml@main
     with:
       job-name: linux-cpu-pytorch-build-and-test
-      runner: linux.12xlarge
+      runner: mt-l-x86iavx512-48-384
       timeout: 180
       # Checkout the Kineto repo at the PR ref with submodules
       repository: ${{ github.repository }}

.github/workflows/linux_cuda_kineto.yml

@@ -25,11 +25,11 @@ jobs:
           # that satisfies the CUDA 13.2 container requirement.
           - cuda_version: "13.0"
             pm_sampling: "ON"
-    uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
+    uses: pytorch/test-infra/.github/workflows/linux_job_v3.yml@main
     with:
       job-name: linux-cuda-${{ matrix.cuda_version }}-kineto-build-and-test
       # AWS A10G GPU instance
-      runner: linux.g5.4xlarge.nvidia.gpu
+      runner: mt-l-x86aavx2-11-41-a10g
       timeout: 180
       # Checkout the Kineto repo at the PR ref with submodules
       repository: ${{ github.repository }}

.github/workflows/linux_cuda_pytorch.yml

@@ -15,11 +15,11 @@ permissions:
 
 jobs:
   pr-test:
-    uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
+    uses: pytorch/test-infra/.github/workflows/linux_job_v3.yml@main
     with:
       job-name: linux-cuda-pytorch-build-and-test
       # AWS A10G GPU instance
-      runner: linux.g5.4xlarge.nvidia.gpu
+      runner: mt-l-x86aavx2-11-41-a10g
       timeout: 180
       # Checkout the Kineto repo at the PR ref with submodules
       repository: ${{ github.repository }}

.github/workflows/linux_rocm_kineto.yml

@@ -24,10 +24,10 @@ jobs:
     strategy:
       matrix:
         rocm: ["10.0"]
-    uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
+    uses: pytorch/test-infra/.github/workflows/linux_job_v3.yml@main
     with:
       job-name: linux-rocm-${{ matrix.rocm }}-kineto-build
-      runner: linux.4xlarge
+      runner: mt-l-x86iavx512-16-128
       timeout: 180
       # Checkout the Kineto repo at the PR ref with submodules
       repository: ${{ github.repository }}

.github/workflows/linux_rocm_pytorch.yml

@@ -24,10 +24,10 @@ jobs:
     strategy:
       matrix:
         rocm: ["10.0"]
-    uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
+    uses: pytorch/test-infra/.github/workflows/linux_job_v3.yml@main
     with:
       job-name: linux-rocm-${{ matrix.rocm }}-pytorch-build
-      runner: linux.12xlarge
+      runner: mt-l-x86iavx512-48-384
       timeout: 180
       repository: ${{ github.repository }}
       ref: ${{ github.ref }}