mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
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94 lines
3.1 KiB
C++
94 lines
3.1 KiB
C++
/*
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* Copyright (c) 2022-2023, 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/bufferManager.h"
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#include "tensorrt_llm/runtime/cudaStream.h"
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#include "tensorrt_llm/runtime/gptDecoder.h"
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#include "tensorrt_llm/runtime/iStatefulGptDecoder.h"
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#include "tensorrt_llm/runtime/iTensor.h"
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#include <cstdint>
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#include <memory>
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#include <optional>
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#include <utility>
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#include <vector>
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namespace tensorrt_llm::runtime
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{
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//! GPT decoder class with support for in-flight batching
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class StatefulGptDecoder : public IStatefulGptDecoder
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{
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public:
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StatefulGptDecoder(std::size_t vocabSize, std::size_t vocabSizePadded, CudaStreamPtr stream);
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//! Setup the decoder before calling `forward()`
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void setup(
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SizeType maxBatchSize, SizeType maxBeamWidth, SizeType maxSequenceLength, nvinfer1::DataType dtype) override;
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//! @brief Initialize the decoder with new batch of inputs.
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void newBatch(GenerationInput const& input, SamplingConfig const& samplingConfig) override;
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//! @brief Run one step for all requests.
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bool forward(decoder::Output& output, decoder::Input const& input) override;
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//! @brief Gather final results for all requests.
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[[nodiscard]] TensorPtr getFinalOutputIds() const override;
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//! @return [batchSize], indicators of finished requests
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[[nodiscard]] std::vector<bool> getFinished() const override
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{
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return mFinished;
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}
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//! @returns [batchSize, maxBeamWidth, maxInputLength + maxNewTokens], contains input token ids and generated token
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//! ids without padding, on gpu
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[[nodiscard]] TensorPtr getOutputIds() const override
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{
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return mDecodingOutput->ids;
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}
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//! @returns [batchSize, maxBeamWidth], tokens generated in last forward pass, on gpu
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[[nodiscard]] TensorPtr getNewTokens() const override
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{
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return mDecodingOutput->newTokens;
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}
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private:
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void reshapeBuffers(SizeType batchSize, SizeType beamWidth, SizeType maxSequenceLength);
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private:
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std::size_t const mVocabSize;
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std::size_t const mVocabSizePadded;
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CudaStreamPtr mStream;
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BufferManager mBufferManager;
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using GptDecoderPtr = std::unique_ptr<IGptDecoder>;
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GptDecoderPtr mDecoder;
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using DecodingInputPtr = std::unique_ptr<DecodingInput>;
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DecodingInputPtr mDecodingInput;
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using DecodingOutputPtr = std::unique_ptr<DecodingOutput>;
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DecodingOutputPtr mDecodingOutput;
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std::vector<bool> mFinished;
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SizeType mNbSteps;
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SizeType mMaxSequenceLength{};
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SizeType mMaxNewTokens;
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};
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} // namespace tensorrt_llm::runtime
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