mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
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77 lines
3.0 KiB
C++
77 lines
3.0 KiB
C++
/*
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* SPDX-FileCopyrightText: Copyright (c) 2022-2024 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 "tensorrt_llm/batch_manager/common.h"
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#include "tensorrt_llm/common/algorithm.h"
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#include "tensorrt_llm/common/optionalRef.h"
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#include "tensorrt_llm/runtime/bufferManager.h"
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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/request.h"
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#include "tensorrt_llm/runtime/samplingConfig.h"
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#include "tensorrt_llm/runtime/worldConfig.h"
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namespace tensorrt_llm::batch_manager
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{
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class RuntimeBuffers;
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class DecoderInputBuffers;
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namespace tr = tensorrt_llm::runtime;
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class GenerateRequestOptions : Algorithm
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{
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public:
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constexpr static auto name{"GenerateRequestOptions"};
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using SizeType32 = tr::SizeType32;
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using ITensor = tr::ITensor;
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using TensorPtr = tr::ITensor::SharedPtr;
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using BufferManager = tr::BufferManager;
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template <typename T>
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using OptionalRef = tensorrt_llm::common::OptionalRef<T>;
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GenerateRequestOptions(bool speculativeDecodingFastLogits, bool isLeaderInOrchMode, bool isNormalizeLogProbs)
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: mSpeculativeDecodingFastLogits(speculativeDecodingFastLogits)
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, mIsLeaderInOrchMode(isLeaderInOrchMode)
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, mIsNormalizeLogProbs(isNormalizeLogProbs)
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{
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}
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std::tuple<ITensor::SharedPtr, std::vector<tr::decoder_batch::Request>, std::vector<tr::SamplingConfig>> operator()(
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tr::ModelConfig const& modelConfig, tr::WorldConfig const& worldConfig,
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executor::DecodingConfig const& decodingConfig, RequestVector const& contextRequests,
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BufferManager const& bufferManager, nvinfer1::DataType logitsType, DecoderInputBuffers const& inputBuffers,
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OptionalRef<RuntimeBuffers const> buffers = std::nullopt) const;
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private:
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[[nodiscard]] std::shared_ptr<runtime::ITensor> retrieveDraftLogits(tr::ModelConfig const& modelConfig,
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tr::WorldConfig const& worldConfig, std::shared_ptr<runtime::ITensor> const& tensor,
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BufferManager const& bufferManager) const;
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/// @brief Retrieve the embedding bias from the request. This potentially makes a copy of the tensor
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/// to the appropriate type if the input tensor does not match it.
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[[nodiscard]] TensorPtr getEmbeddingBias(nvinfer1::DataType logitsType, TensorPtr const& tensor) const;
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bool mSpeculativeDecodingFastLogits;
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bool mIsLeaderInOrchMode;
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bool mIsNormalizeLogProbs;
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};
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} // namespace tensorrt_llm::batch_manager
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