[dependabot]

Updates the requirements on NNlib to permit the latest version.

Release notes

Sourced from NNlib's releases.

v0.9.54

NNlib v0.9.54

Diff since v0.9.53

Merged pull requests:

• Drop the unbound type parameter of the PoolDims keyword constructor (#850) (@​CarloLucibello)
• Add a window keyword to scaled_dot_product_attention (sliding-window attention) (#852) (@​CarloLucibello)
• Banded materialized implementation for sliding-window attention (#859) (@​CarloLucibello)
• Paired 16-bit atomics in the CUDA scatter, grid_sample and upsample kernels (#854) (#860) (@​CarloLucibello)
• Fix the attention tests left out of #859 (#861) (@​CarloLucibello)

Closed issues:

• PoolDims(x, k::Int) has an unbound type parameter, fails under Reactant (#849)
• scaled_dot_product_attention: sliding-window attention (#851)
• Sliding-window attention: a banded materialized implementation (#853)
• CUDA scatter in Float16/BFloat16 is 200–300× slower than in Float32 when indices collide (#854)

Commits

• 8c4bbaa Bump version from 0.9.53 to 0.9.54
• c456c9d Update the packed-segment cost test, compare NaN outputs exactly (#861)
• fd90f5b Paired 16-bit atomics in the CUDA scatter, grid_sample and upsample kernels (...
• d984351 Banded materialized implementation for sliding-window attention (#853) (#859)
• 287db8d Add a window keyword to scaled_dot_product_attention (sliding-window atte...
• eaf7914 Drop the unbound type parameter of the PoolDims keyword constructor (#850)
• 588014a Bump version from 0.9.52 to 0.9.53
• bd1f519 Docs: raise the HTML size threshold to 300 KiB (#848)
• 87b4c35 Add upsample_bicubic and antialiased upsample_bilinear, matching PyTorch ...
• 87a85d9 Add ceil_mode to pooling (#839) (#846)
• Additional commits viewable in compare view

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