mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
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128 lines
6.1 KiB
C++
128 lines
6.1 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/iTensor.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/worldConfig.h"
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namespace tensorrt_llm::runtime
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{
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class DecodingInput;
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class DecodingOutput;
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class GptDecoderBatched;
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class SamplingConfig;
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class SpeculativeDecodingMode;
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namespace decoder
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{
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class DecoderState;
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} // namespace decoder
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} // namespace tensorrt_llm::runtime
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namespace tensorrt_llm::batch_manager
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{
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class MedusaBuffers;
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class DecoderInputBuffers;
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class CreateNewDecoderRequests : Algorithm
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{
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public:
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constexpr static auto name{"CreateNewDecoderRequests"};
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using SizeType32 = tensorrt_llm::runtime::SizeType32;
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using SamplingConfig = tensorrt_llm::runtime::SamplingConfig;
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using CudaStream = tensorrt_llm::runtime::CudaStream;
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using TensorPtr = runtime::ITensor::SharedPtr;
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using SharedConstPtr = runtime::ITensor::SharedConstPtr;
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using DecodingInput = runtime::DecodingInput;
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using DecodingOutput = runtime::DecodingOutput;
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using SpeculativeDecodingMode = runtime::SpeculativeDecodingMode;
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using GptDecoderBatched = runtime::GptDecoderBatched;
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template <typename T>
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using OptionalRef = tensorrt_llm::common::OptionalRef<T>;
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CreateNewDecoderRequests(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<TensorPtr, std::vector<runtime::SamplingConfig>, std::vector<runtime::ITensor::SharedConstPtr>,
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std::vector<executor::LookaheadDecodingConfig>>
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operator()(runtime::ModelConfig const& modelConfig, runtime::WorldConfig const& worldConfig,
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executor::DecodingConfig const& decodingConfig, RequestVector const& contextRequests,
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nvinfer1::DataType logitsType, DecoderInputBuffers& inputBuffers, runtime::decoder::DecoderState& decoderState,
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CudaStream const& runtimeStream, CudaStream const& decoderStream, SizeType32 maxSequenceLength,
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SizeType32 beamWidth, OptionalRef<MedusaBuffers const> medusaBuffers) const;
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[[nodiscard]] std::tuple<std::vector<runtime::ITensor::SharedConstPtr>,
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std::vector<executor::LookaheadDecodingConfig>>
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createDecoderRequests(RequestVector const& finishedContextRequests, TensorPtr const& inputIds,
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executor::DecodingConfig const& decodingConfig, runtime::decoder::DecoderState& decoderState,
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nvinfer1::DataType logitsType, runtime::ModelConfig const& modelConfig, runtime::WorldConfig const& worldConfig,
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runtime::CudaStream const& runtimeStream, runtime::CudaStream const& decoderStream,
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SizeType32 maxSequenceLength, OptionalRef<MedusaBuffers const> medusaBuffers) const;
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private:
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//! @brief Setups decoder internal tensors for new speculative decoding request
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static void newRequestSpeculativeDecoding(SizeType32 batchIdx, runtime::decoder_batch::Request const& request,
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SamplingConfig const& samplingConfig, runtime::ModelConfig const& modelConfig,
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DecodingInput& jointDecodingInput, DecodingOutput& jointDecodingOutput, CudaStream const& runtimeStream,
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CudaStream const& decoderStream, SpeculativeDecodingMode const& speculativeDecodingMode,
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SizeType32 maxDecodingEngineTokens);
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//! @brief Setups decoder internal tensors for new request in Draft model Sps mode
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static void newRequestDraftTokensExternal(SizeType32 batchIdx, runtime::decoder_batch::Request const& request,
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SamplingConfig const& samplingConfig, DecodingInput& jointDecodingInput, CudaStream const& decoderStream);
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//! @brief Setups decoder internal tensors for new Medusa request
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static void newRequestMedusa(SizeType32 batchIdx, runtime::decoder_batch::Request const& request,
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DecodingInput& jointDecodingInput, CudaStream const& decoderStream, SizeType32 maxDecodingEngineTokens);
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//! @brief Setups decoder internal tensors for new Lookahead request
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static void newRequestLookahead(SizeType32 batchIdx, runtime::decoder_batch::Request const& request,
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DecodingInput& jointDecodingInput, DecodingOutput& jointDecodingOutput, CudaStream const& runtimeStream);
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//! @brief Setups decoder internal tensors for new Explicit draft tokens request
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static void newRequestExplicitDraftTokens(SizeType32 batchIdx, runtime::decoder_batch::Request const& request,
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DecodingOutput& jointDecodingOutput, CudaStream const& runtimeStream);
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//! @brief Setups decoder internal tensors for new Eagle request
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static void newRequestEagle(SizeType32 batchIdx, runtime::decoder_batch::Request const& request,
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runtime::ModelConfig const& modelConfig, DecodingOutput& jointDecodingOutput, CudaStream const& runtimeStream);
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[[nodiscard]] std::shared_ptr<runtime::ITensor> retrieveDraftLogits(runtime::ModelConfig const& modelConfig,
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runtime::WorldConfig const& worldConfig, std::shared_ptr<runtime::ITensor> const& tensor,
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runtime::BufferManager const& bufferManager) 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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