mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
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74 lines
2.1 KiB
C++
74 lines
2.1 KiB
C++
/*
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* SPDX-FileCopyrightText: Copyright (c) 1993-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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* SPDX-License-Identifier: Apache-2.0
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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 "NvInferPlugin.h"
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#include "allreduce_gemm_runner.h"
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#include "tensorrt_llm/common/cudaUtils.h"
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#include "tensorrt_llm/plugins/common/plugin.h"
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using namespace tensorrt_llm::kernels::cutlass_kernels;
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using namespace nvinfer1;
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namespace tensorrt_llm::plugins
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{
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class GemmAllReducePersistentWorkspace : public IPluginResource
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{
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public:
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GemmAllReducePersistentWorkspace(std::shared_ptr<PersistentWorkspaceInterface> workspace)
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: mWorkspace(workspace)
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{
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}
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//////////////////////////////////
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// IPluginResource Methods
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//////////////////////////////////
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IPluginResource* clone() noexcept override
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{
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auto copy = new GemmAllReducePersistentWorkspace(mWorkspace);
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// Resource initialization (if any) may be skipped for non-cloned objects
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// since only clones will be registered by TensorRT.
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try
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{
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copy->mWorkspace->allocate();
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return copy;
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}
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catch (std::exception const& e)
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{
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TLLM_LOG_ERROR(e.what());
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return nullptr;
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}
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}
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int32_t release() noexcept override
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{
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try
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{
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return mWorkspace->free();
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}
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catch (std::exception const& e)
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{
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TLLM_LOG_ERROR(e.what());
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return -1;
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}
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}
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std::shared_ptr<PersistentWorkspaceInterface> mWorkspace;
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};
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} // namespace tensorrt_llm::plugins
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