/* * Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ #include #include #include "cutlass_extensions/common.hpp" #if defined ENABLE_NVFP4_SM100 && ENABLE_NVFP4_SM100 void cutlass_scaled_fp4_mm_sm100a(torch::Tensor& D, torch::Tensor const& A, torch::Tensor const& B, torch::Tensor const& A_sf, torch::Tensor const& B_sf, torch::Tensor const& alpha); #endif #if defined ENABLE_NVFP4_SM120 && ENABLE_NVFP4_SM120 void cutlass_scaled_fp4_mm_sm120a(torch::Tensor& D, torch::Tensor const& A, torch::Tensor const& B, torch::Tensor const& A_sf, torch::Tensor const& B_sf, torch::Tensor const& alpha); #endif void cutlass_scaled_fp4_mm(torch::Tensor& D, const torch::Tensor& A, const torch::Tensor& B, const torch::Tensor& A_sf, const torch::Tensor& B_sf, const torch::Tensor& alpha) { // Make sure we’re on A’s device. const c10::cuda::OptionalCUDAGuard device_guard(device_of(A)); const int32_t sm = get_sm_version_num(); #if defined(ENABLE_NVFP4_SM100) && ENABLE_NVFP4_SM100 if (sm >= 100 && sm < 120) { cutlass_scaled_fp4_mm_sm100a(D, A, B, A_sf, B_sf, alpha); return; } #endif #if defined(ENABLE_NVFP4_SM120) && ENABLE_NVFP4_SM120 if (sm >= 120 && sm < 130) { cutlass_scaled_fp4_mm_sm120a(D, A, B, A_sf, B_sf, alpha); return; } #endif TORCH_CHECK_NOT_IMPLEMENTED(false, "No compiled nvfp4 mm kernel for SM ", sm, ". Recompile with CUDA >= 12.8 and CC >= 100."); } bool cutlass_scaled_mm_supports_fp4(int64_t cuda_device_capability) { int runtimeVersion; cudaRuntimeGetVersion(&runtimeVersion); return cuda_device_capability >= 100 && runtimeVersion >= 12080; }