vllm/csrc/quantization/fp4/nvfp4_scaled_mm_entry.cu
Pavani Majety debd6bbf09
[Kernel] Add ModelOpt FP4 Checkpoint Support (#12520)
Signed-off-by: Pavani Majety <pmajety@nvidia.com>
2025-03-12 05:13:11 +00:00

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/*
* 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 <torch/all.h>
#if defined ENABLE_NVFP4 && ENABLE_NVFP4
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
void cutlass_scaled_fp4_mm(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) {
#if defined ENABLE_NVFP4 && ENABLE_NVFP4
return cutlass_scaled_fp4_mm_sm100a(D, A, B, A_sf, B_sf, alpha);
#endif
TORCH_CHECK_NOT_IMPLEMENTED(false,
"No compiled nvfp4 mm kernel, vLLM should "
"be compiled using CUDA 12.8 and target "
"compute capability 100 or above.");
}
bool cutlass_scaled_mm_supports_fp4(int64_t cuda_device_capability) {
int runtimeVersion;
cudaRuntimeGetVersion(&runtimeVersion);
return cuda_device_capability >= 100 && runtimeVersion >= 12080;
}