mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
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133 lines
4.5 KiB
C++
133 lines
4.5 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/cudaEvent.h"
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#include "tensorrt_llm/runtime/cudaStream.h"
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#include "tensorrt_llm/runtime/eagleBuffers.h"
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#include "tensorrt_llm/runtime/explicitDraftTokensBuffers.h"
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#include "tensorrt_llm/runtime/iTensor.h"
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#include <memory>
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#include <vector>
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namespace tensorrt_llm::batch_manager
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{
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class LlmRequest;
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}
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namespace tensorrt_llm::runtime
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{
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class SamplingConfig;
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namespace decoder
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{
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class DecoderState;
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}
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namespace decoder_batch
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{
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class Input
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{
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public:
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using TensorConstPtr = ITensor::SharedConstPtr;
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using TensorPtr = ITensor::SharedPtr;
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explicit Input(std::vector<std::vector<TensorConstPtr>> const& logits, SizeType32 maxDecoderSteps)
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: logits{logits}
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, maxDecoderSteps{maxDecoderSteps}
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{
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TLLM_CHECK_WITH_INFO(
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logits.size() == static_cast<size_t>(maxDecoderSteps), "logits vector size does not match maxDecoderSteps");
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}
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explicit Input(std::vector<TensorConstPtr> const& logits)
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: Input{{logits}, 1}
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{
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}
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//! Mandatory parameters
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//! Logits
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// FIXME: remove first dimension of tensors
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//! [maxDecoderSteps][batchSize][1, beamWidth, vocabSizePadded], on gpu
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std::vector<std::vector<TensorConstPtr>> logits;
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//! Maximum number of decoding tokens of active slots
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SizeType32 maxDecoderSteps;
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//! Batch of active decoder slots, sorted by slots, [maxDecoderSteps][batchSize]
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std::vector<TensorPtr> batchSlots;
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//! Filled with slots in request order, [batchSize]
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TensorPtr batchSlotsRequestOrder;
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//! For Beam Search
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//! The generation step of each request (for Variable-Beam-Width-Search), [batchSize]
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std::vector<SizeType32> generationSteps;
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//! For speculative decoding
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//! Logits of draft
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//! [maxBatchSize][maxAcceptedDraftTokensPerStep][maxDraftTokens + 1, vocabSizePadded]
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std::vector<std::vector<TensorPtr>> predictedDraftLogits;
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//! Explicit draft tokens data
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std::optional<ExplicitDraftTokensBuffers::EngineOutputs> explicitDraftTokensInputs;
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std::optional<ExplicitDraftTokensBuffers::EngineInputs> explicitDraftTokensLastInputs;
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//! Eagle data
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std::optional<EagleBuffers::EngineOutputs> eagleInputs;
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std::optional<EagleBuffers::Inputs> eagleLastInputs;
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};
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} // namespace decoder_batch
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//! GPT decoder class with support for in-flight batching
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class IGptDecoderBatched
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{
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public:
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using CudaStreamPtr = std::shared_ptr<CudaStream>;
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using LlmRequestPtr = std::shared_ptr<tensorrt_llm::batch_manager::LlmRequest>;
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using RequestVector = std::vector<LlmRequestPtr>;
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using TensorPtr = std::shared_ptr<ITensor>;
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//! @brief Setup the decoder before calling `forward()`
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virtual void setup(executor::DecodingMode const& mode, SizeType32 maxBatchSize, SizeType32 maxBeamWidth,
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nvinfer1::DataType dtype, ModelConfig const& modelConfig, WorldConfig const& worldConfig)
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= 0;
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//! @brief Disable Lookahead decoding.
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virtual void disableLookahead(RequestVector const& genRequests, TensorPtr const& batchSlots) = 0;
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//! @brief Run one step for all requests without blocking the host process and return the token for synchronization.
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virtual CudaEvent forwardAsync(decoder::DecoderState const& decoderState, decoder_batch::Input const& input) = 0;
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//! @brief Run one step for all requests and wait for completion on the host.
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virtual void forward(decoder::DecoderState const& decoderState, decoder_batch::Input const& input) = 0;
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//! @brief Gather final beam search results for request `batchIdx`.
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//! Result will only be available after event returned
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[[nodiscard]] virtual CudaEvent finalize(decoder::DecoderState const& decoderState, SizeType32 batchSlot,
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SamplingConfig const& samplingConfig, bool streaming) const
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= 0;
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protected:
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IGptDecoderBatched() = default;
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virtual ~IGptDecoderBatched() = default;
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};
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} // namespace tensorrt_llm::runtime
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