mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
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77 lines
1.8 KiB
C++
77 lines
1.8 KiB
C++
/*
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* Copyright (c) 2022-2024, 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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#pragma once
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#include "tensorrt_llm/common/assert.h"
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#include "tensorrt_llm/common/config.h"
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#include "tensorrt_llm/common/cudaUtils.h"
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TRTLLM_NAMESPACE_BEGIN
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namespace kernels
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{
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namespace qserve
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{
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struct ParamsPerGroup
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{
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int8_t const* A;
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int8_t const* B;
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int8_t const* s2_zeros;
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int8_t const* s2_scales;
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half const* s1_scales;
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half const* act_scales;
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half* C;
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int m;
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int n;
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int k;
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};
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struct ParamsPerChannel
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{
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int8_t const* A;
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int8_t const* B;
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half const* s1_scales;
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half const* s1_szeros;
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half const* act_sums;
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half const* act_scales;
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half* C;
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int m;
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int n;
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int k;
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};
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class QServeGemmRunner
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{
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public:
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void gemmPerGroup(ParamsPerGroup const& params, cudaStream_t stream);
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void gemmPerChannel(ParamsPerChannel const& params, cudaStream_t stream);
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// We do not use workspace for now.
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// char* workspacePtr, const size_t workspaceBytes, cudaStream_t stream);
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// Returns desired workspace size in bytes.
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size_t getWorkspaceSize(int const m, int const n, int const k);
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// virtual std::vector<tkc::CutlassGemmConfig> getConfigs() const = 0;
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};
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} // namespace qserve
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} // namespace kernels
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TRTLLM_NAMESPACE_END
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