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cyanguwa
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Add 2d quant for mxfp8 (#2634)
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Fix typo in contribution guidelines (#3308)
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[Common] Make MXFP8 specialized kernel respect noop flag as well (#3246)
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[PyTorch][torch.compile] DotProductAttention: declarative packed QKV/…
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[PyTorch] NCCL EP zero copy with symmem pool and user provided recv_t…
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docs: document attention backend selection (#3142)
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[Common] Fix int32 overflow in multi_tensor_apply tensor sizes for nu…
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[Common] Improved fused MoE aux loss kernel for large # of experts (#…
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[PyTorch] Guard/document single parameter feature for grouped linear …
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Correctly pad scaling factor inverses to satisfy cuteDSL requirements…
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fix: TransformerEngineBaseModule quantizers init values type (#2927)
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Make NS coefficients parameter 2D in Python API (#2904)
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