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all_reduce
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f1d0b77c92
[0.6.0] Release Candidate (#481)
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преди 4 месеца |
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attention
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f831fd8312
rocm: fix compile issues with rocm 6.2 (#893)
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преди 3 седмици |
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backup
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f8dfac6372
chore: attention refactor and upstream sync apr01 (#365)
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преди 9 месеца |
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core
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0256ed236b
feat: windows support (#790)
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преди 2 месеца |
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cpu
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f1d0b77c92
[0.6.0] Release Candidate (#481)
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преди 4 месеца |
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cutlass_extensions
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93bc863591
feat: Machete Kernels for Hopper GPUs (#842)
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преди 1 месец |
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hadamard
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5d288aa76c
feat: add fast hadamard transformation kernels (#232)
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преди 11 месеца |
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mamba
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0256ed236b
feat: windows support (#790)
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преди 2 месеца |
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moe
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0256ed236b
feat: windows support (#790)
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преди 2 месеца |
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prepare_inputs
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f1d0b77c92
[0.6.0] Release Candidate (#481)
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преди 4 месеца |
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punica
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f1d0b77c92
[0.6.0] Release Candidate (#481)
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преди 4 месеца |
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quantization
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e14223dce5
kernel: use `cub::BlockReduce` instead of custom impl (#895)
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преди 3 седмици |
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sampling
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bfc8988116
feat: add cuda sampling kernels for top_k and top_p (#828)
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преди 1 месец |
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activation_kernels.cu
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f1d0b77c92
[0.6.0] Release Candidate (#481)
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преди 4 месеца |
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cache.h
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f1d0b77c92
[0.6.0] Release Candidate (#481)
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преди 4 месеца |
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cache_kernels.cu
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0256ed236b
feat: windows support (#790)
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преди 2 месеца |
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cuda_compat.h
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f1d0b77c92
[0.6.0] Release Candidate (#481)
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преди 4 месеца |
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cuda_utils.h
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93bc863591
feat: Machete Kernels for Hopper GPUs (#842)
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преди 1 месец |
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cuda_utils_kernels.cu
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f1d0b77c92
[0.6.0] Release Candidate (#481)
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преди 4 месеца |
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dispatch_utils.h
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f1d0b77c92
[0.6.0] Release Candidate (#481)
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преди 4 месеца |
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layernorm_kernels.cu
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e14223dce5
kernel: use `cub::BlockReduce` instead of custom impl (#895)
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преди 3 седмици |
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ops.h
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93bc863591
feat: Machete Kernels for Hopper GPUs (#842)
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преди 1 месец |
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permute_cols.cu
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93bc863591
feat: Machete Kernels for Hopper GPUs (#842)
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преди 1 месец |
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pos_encoding_kernels.cu
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f1d0b77c92
[0.6.0] Release Candidate (#481)
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преди 4 месеца |
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torch_bindings.cpp
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93bc863591
feat: Machete Kernels for Hopper GPUs (#842)
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преди 1 месец |
AlpinDale
e14223dce5
kernel: use `cub::BlockReduce` instead of custom impl (#895)