TensorRT-LLMs/cpp/tensorrt_llm/thop/weightOnlyQuantGemm.h
Yuening Li e8c068b4b1
[TRTLLM-5863][feat] Support Weight-Only-Quantization in PyTorch Workflow (#5850)
Signed-off-by: Yuening Li <62227368+yueningl@users.noreply.github.com>
Co-authored-by: Yuening Li <62227368+yueningl@users.noreply.github.com>
2025-07-21 15:17:35 +08:00

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1.9 KiB
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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.
*/
#pragma once
#include "cutlass_extensions/gemm_configs.h"
#include "cutlass_extensions/weight_only_quant_op.h"
#include "tensorrt_llm/common/cudaUtils.h"
#include "tensorrt_llm/kernels/cutlass_kernels/cutlass_heuristic.h"
#include "tensorrt_llm/kernels/cutlass_kernels/fpA_intB_gemm/fpA_intB_gemm.h"
#include "tensorrt_llm/thop/thUtils.h"
#include "tensorrt_llm/thop/userbuffersTensor.h"
#include <torch/extension.h>
using namespace tensorrt_llm::kernels::cutlass_kernels;
using namespace tensorrt_llm::kernels;
namespace torch_ext
{
using WeightOnlyQuantGemmRunnerPtr = std::shared_ptr<CutlassFpAIntBGemmRunnerInterface>;
class WeightOnlyQuantGemmRunner : public torch::CustomClassHolder
{
public:
explicit WeightOnlyQuantGemmRunner(at::ScalarType activation_dtype, at::ScalarType weight_dtype);
at::Tensor runGemm(at::Tensor const& mat_a, at::Tensor const& mat_b, at::Tensor const& weight_scales,
int64_t config_idx, bool to_userbuffers, std::optional<c10::ScalarType> out_dtype);
int64_t getNumConfigs() const;
private:
WeightOnlyQuantGemmRunnerPtr mGemmRunner;
at::ScalarType mActivationDtype;
at::ScalarType mWeightDtype;
std::vector<tensorrt_llm::cutlass_extensions::CutlassGemmConfig> mConfigs;
};
} // namespace torch_ext