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c89653021e
* Update TensorRT-LLM --------- Co-authored-by: Eddie-Wang1120 <81598289+Eddie-Wang1120@users.noreply.github.com> Co-authored-by: Shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>
37 lines
1.3 KiB
C++
37 lines
1.3 KiB
C++
/*
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* Copyright (c) 2019-2024, 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 "cutlass/gemm_coord.h"
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#include <NvInferRuntime.h>
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namespace tensorrt_llm
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{
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namespace kernels
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{
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int64_t getSplitkGroupedGemmParamsWorkSpaceSize(int64_t problem_count);
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void splitkGroupedGemm(std::vector<cutlass::gemm::GemmCoord> problem_sizes, std::vector<void*> ptrA,
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std::vector<void*> ptrB, std::vector<void*> ptrC, std::vector<void*> ptrD, void* gemmParamsWorkspace,
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int64_t gemmParamsWorkSpaceSize, void* gemmWorkSpace, int64_t gemmWorkspaceSize,
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std::vector<int64_t> splitkBufferOffsets, bool isLoraIn, nvinfer1::DataType dataType, int splitKSlices,
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cudaStream_t stream);
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} // namespace kernels
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} // namespace tensorrt_llm
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