xiezhongtao
2bd9bd4cc2
将分散在各文件中的CUDA/HIP/MUSA硬件相关头文件引用统一到vendors目录下的对应头文件中，提高代码可维护性。移除重复的头文件引用，优化构建配置。
70 lines
2.5 KiB
Plaintext
70 lines
2.5 KiB
Plaintext
/*
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* Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include "../../vendors/functions.h"
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#include "cutlass_extensions/common.hpp"
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#if defined ENABLE_NVFP4_SM100 && ENABLE_NVFP4_SM100
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void cutlass_scaled_fp4_mm_sm100a(torch::Tensor& D, torch::Tensor const& A,
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torch::Tensor const& B,
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torch::Tensor const& A_sf,
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torch::Tensor const& B_sf,
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torch::Tensor const& alpha);
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#endif
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#if defined ENABLE_NVFP4_SM120 && ENABLE_NVFP4_SM120
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void cutlass_scaled_fp4_mm_sm120a(torch::Tensor& D, torch::Tensor const& A,
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torch::Tensor const& B,
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torch::Tensor const& A_sf,
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torch::Tensor const& B_sf,
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torch::Tensor const& alpha);
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#endif
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void cutlass_scaled_fp4_mm(torch::Tensor& D, const torch::Tensor& A,
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const torch::Tensor& B, const torch::Tensor& A_sf,
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const torch::Tensor& B_sf,
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const torch::Tensor& alpha) {
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// Make sure we’re on A’s device.
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const c10::cuda::OptionalCUDAGuard device_guard(device_of(A));
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const int32_t sm = get_sm_version_num();
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#if defined(ENABLE_NVFP4_SM100) && ENABLE_NVFP4_SM100
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if (sm >= 100 && sm < 120) {
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cutlass_scaled_fp4_mm_sm100a(D, A, B, A_sf, B_sf, alpha);
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return;
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}
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#endif
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#if defined(ENABLE_NVFP4_SM120) && ENABLE_NVFP4_SM120
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if (sm >= 120 && sm < 130) {
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cutlass_scaled_fp4_mm_sm120a(D, A, B, A_sf, B_sf, alpha);
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return;
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}
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#endif
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TORCH_CHECK_NOT_IMPLEMENTED(false, "No compiled nvfp4 mm kernel for SM ", sm,
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". Recompile with CUDA >= 12.8 and CC >= 100.");
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}
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bool cutlass_scaled_mm_supports_fp4(int64_t cuda_device_capability) {
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int runtimeVersion;
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cudaRuntimeGetVersion(&runtimeVersion);
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return cuda_device_capability >= 100 && runtimeVersion >= 12080;
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}
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