[Perf] Only clone when needed for moe_permute (#32273)
Signed-off-by: yewentao256 <zhyanwentao@126.com>
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@@ -42,7 +42,7 @@ void moe_permute(
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auto sort_workspace = torch::empty(
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{sorter_size},
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torch::dtype(torch::kInt8).device(torch::kCUDA).requires_grad(false));
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auto copy_topk_ids = topk_ids.clone(); // copy topk_ids for preprocess
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torch::Tensor topk_ids_for_sort = topk_ids;
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auto permuted_experts_id = torch::empty_like(topk_ids);
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auto sorted_row_idx = torch::empty_like(inv_permuted_idx);
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@@ -62,12 +62,13 @@ void moe_permute(
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const int* expert_map_ptr = get_ptr<int>(expert_map.value());
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valid_num_ptr =
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get_ptr<int64_t>(expert_first_token_offset) + n_local_expert;
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preprocessTopkIdLauncher(get_ptr<int>(copy_topk_ids), n_token * topk,
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topk_ids_for_sort = topk_ids.clone();
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preprocessTopkIdLauncher(get_ptr<int>(topk_ids_for_sort), n_token * topk,
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expert_map_ptr, n_expert, stream);
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}
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// expert sort topk expert id and scan expert id get expert_first_token_offset
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sortAndScanExpert(
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get_ptr<int>(copy_topk_ids), get_ptr<int>(token_expert_indices),
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get_ptr<const int>(topk_ids_for_sort), get_ptr<int>(token_expert_indices),
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get_ptr<int>(permuted_experts_id), get_ptr<int>(sorted_row_idx),
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get_ptr<int64_t>(expert_first_token_offset), n_token, n_expert,
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n_local_expert, topk, sorter, get_ptr<int>(sort_workspace), stream);
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@@ -109,7 +109,7 @@ void computeExpertFirstTokenOffset(int const* sorted_indices,
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sorted_indices, total_indices, num_experts, expert_first_token_offset);
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}
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void sortAndScanExpert(int* expert_for_source_row, const int* source_rows,
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void sortAndScanExpert(const int* expert_for_source_row, const int* source_rows,
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int* permuted_experts, int* permuted_rows,
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int64_t* expert_first_token_offset, int num_rows,
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int num_experts, int num_experts_per_node, int k,
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@@ -48,7 +48,7 @@ void computeExpertFirstTokenOffset(int const* sorted_indices,
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int64_t* expert_first_token_offset,
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cudaStream_t stream);
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void sortAndScanExpert(int* expert_for_source_row, const int* source_rows,
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void sortAndScanExpert(const int* expert_for_source_row, const int* source_rows,
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int* permuted_experts, int* permuted_rows,
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int64_t* expert_first_token_offset, int num_rows,
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int num_experts, int num_experts_per_node, int k,
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