[Kernel] CUTLASS MoE FP8: Integrate cuda moe permute/unpermute (#23045)
Signed-off-by: Shixian Cui <shixian@amazon.com>
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@@ -440,6 +440,19 @@ TORCH_LIBRARY_EXPAND(TORCH_EXTENSION_NAME, ops) {
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{stride_tag});
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ops.impl("get_cutlass_moe_mm_data", torch::kCUDA, &get_cutlass_moe_mm_data);
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// A function that computes problem sizes for each expert's multiplication
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// used by the two mms called from fused MoE operation. It takes topk_ids as
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// an input, and computes problem_sizes1 and problem_sizes2 only.
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ops.def(
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"get_cutlass_moe_mm_problem_sizes(Tensor topk_ids, "
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" Tensor! problem_sizes1, "
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" Tensor! problem_sizes2, "
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" int num_experts, int n, int k, "
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" Tensor? blockscale_offsets) -> ()",
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{stride_tag});
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ops.impl("get_cutlass_moe_mm_problem_sizes", torch::kCUDA,
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&get_cutlass_moe_mm_problem_sizes);
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// A function that computes data required to run fused MoE with w8a8 grouped
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// GEMM and PPLX. It takes expert_num_tokens and non_zero_expert_idxs
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// as an input, and computes expert_offsets (token start indices of each
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