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https://github.com/NVIDIA/TensorRT-LLM.git
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db4edea1e1
* Update TensorRT-LLM --------- Co-authored-by: Kota Tsuyuzaki <bloodeagle40234@gmail.com> Co-authored-by: Pzzzzz <hello-cd.plus@hotmail.com> Co-authored-by: Patrick Reiter Horn <patrick.horn@gmail.com>
115 lines
3.1 KiB
C++
115 lines
3.1 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/runtime/common.h"
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#include "tensorrt_llm/runtime/modelConfig.h"
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#include "tensorrt_llm/runtime/worldConfig.h"
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#include <filesystem>
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#include <istream>
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#include <string>
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#include <utility>
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namespace tensorrt_llm::runtime
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{
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class GptJsonConfig
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{
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public:
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GptJsonConfig(std::string name, std::string version, std::string precision, SizeType32 tensorParallelism,
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SizeType32 pipelineParallelism, SizeType32 gpusPerNode, ModelConfig modelConfig)
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: mName(std::move(name))
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, mVersion(std::move(version))
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, mPrecision(std::move(precision))
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, mTensorParallelism{tensorParallelism}
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, mPipelineParallelism{pipelineParallelism}
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, mGpusPerNode{gpusPerNode}
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, mModelConfig(std::move(modelConfig))
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{
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}
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static GptJsonConfig parse(std::string const& json);
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static GptJsonConfig parse(std::istream& json);
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static GptJsonConfig parse(std::filesystem::path const& path);
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[[nodiscard]] ModelConfig const& getModelConfig() const
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{
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return mModelConfig;
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}
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[[nodiscard]] ModelConfig& getModelConfigMutable()
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{
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return mModelConfig;
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}
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[[nodiscard]] std::string const& getName() const
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{
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return mName;
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}
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[[nodiscard]] std::string const& getVersion() const
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{
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return mVersion;
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}
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[[nodiscard]] std::string const& getPrecision() const
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{
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return mPrecision;
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}
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[[nodiscard]] SizeType32 constexpr getTensorParallelism() const
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{
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return mTensorParallelism;
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}
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[[nodiscard]] SizeType32 constexpr getPipelineParallelism() const
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{
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return mPipelineParallelism;
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}
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[[nodiscard]] SizeType32 constexpr getGpusPerNode() const
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{
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return mGpusPerNode;
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}
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[[nodiscard]] SizeType32 constexpr getWorldSize() const
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{
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return mTensorParallelism * mPipelineParallelism;
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}
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[[nodiscard]] std::string engineFilename(WorldConfig const& worldConfig, std::string const& model) const;
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[[nodiscard]] std::string engineFilename(WorldConfig const& worldConfig) const
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{
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return engineFilename(worldConfig, getName());
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}
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private:
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std::string const mName;
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std::string const mVersion;
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std::string const mPrecision;
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SizeType32 const mTensorParallelism;
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SizeType32 const mPipelineParallelism;
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SizeType32 const mGpusPerNode;
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ModelConfig mModelConfig; // remove const qualifier because config has to mutable after json parsing
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};
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} // namespace tensorrt_llm::runtime
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