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all_reduce
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9d81716bfd
[v0.5.3] Release Candidate (#388)
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8 months ago |
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attention
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9d81716bfd
[v0.5.3] Release Candidate (#388)
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8 months ago |
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backup
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f8dfac6372
chore: attention refactor and upstream sync apr01 (#365)
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9 months ago |
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cpu
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9d81716bfd
[v0.5.3] Release Candidate (#388)
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8 months ago |
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hadamard
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5d288aa76c
feat: add fast hadamard transformation kernels (#232)
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11 months ago |
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moe
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9d81716bfd
[v0.5.3] Release Candidate (#388)
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8 months ago |
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punica
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9d81716bfd
[v0.5.3] Release Candidate (#388)
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8 months ago |
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quantization
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9d81716bfd
[v0.5.3] Release Candidate (#388)
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8 months ago |
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activation_kernels.cu
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3d6695cfbb
feat: add approximate gelu activation kernels (#370)
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9 months ago |
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cache.h
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9d81716bfd
[v0.5.3] Release Candidate (#388)
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8 months ago |
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cache_kernels.cu
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9d81716bfd
[v0.5.3] Release Candidate (#388)
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8 months ago |
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cuda_compat.h
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9d81716bfd
[v0.5.3] Release Candidate (#388)
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8 months ago |
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cuda_utils.h
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31c95011a6
feat: FP8 E5M2 KV Cache (#226)
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11 months ago |
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cuda_utils_kernels.cu
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31c95011a6
feat: FP8 E5M2 KV Cache (#226)
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11 months ago |
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dispatch_utils.h
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f8dfac6372
chore: attention refactor and upstream sync apr01 (#365)
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9 months ago |
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layernorm_kernels.cu
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9d81716bfd
[v0.5.3] Release Candidate (#388)
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8 months ago |
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ops.h
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9d81716bfd
[v0.5.3] Release Candidate (#388)
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8 months ago |
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pos_encoding_kernels.cu
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e702f587cf
feat: add batched RoPE kernels (#371)
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9 months ago |
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pybind.cpp
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9d81716bfd
[v0.5.3] Release Candidate (#388)
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8 months ago |
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reduction.cuh
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9d81716bfd
[v0.5.3] Release Candidate (#388)
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8 months ago |
AlpinDale
9d81716bfd
[v0.5.3] Release Candidate (#388)