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https://github.com/NVIDIA/TensorRT-LLM.git
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16d2467ea8
* Update TensorRT-LLM --------- Co-authored-by: Denis Kayshev <topenkoff@gmail.com> Co-authored-by: akhoroshev <arthoroshev@gmail.com> Co-authored-by: Patrick Reiter Horn <patrick.horn@gmail.com> Update
98 lines
4.6 KiB
C++
98 lines
4.6 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 "common.h"
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#include "tensorrt_llm/common/algorithm.h"
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#include "tensorrt_llm/runtime/common.h"
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#include "tensorrt_llm/runtime/gptDecoderBatched.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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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 SpeculativeDecodingMode;
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// class GptDecoderBatched;
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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 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 CudaStreamPtr = std::shared_ptr<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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CreateNewDecoderRequests() = default;
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void operator()(std::vector<SizeType32> const& seqSlots,
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std::vector<runtime::decoder_batch::Request> const& requests,
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std::vector<SamplingConfig> const& samplingConfigs, runtime::ModelConfig const& modelConfig,
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GptDecoderBatched& decoder, CudaStreamPtr runtimeStream, SizeType32 maxSequenceLength) const;
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//! @brief Initialize the decoder at `batchSlot` with a new `request`. Exposed only for static batching via
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//! GptDecoderBatched::newBatch()
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void newRequest(SizeType32 batchSlot, runtime::decoder_batch::Request const& request,
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SamplingConfig const& samplingConfig, runtime::ModelConfig const& modelConfig, GptDecoderBatched& decoder,
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CudaStreamPtr runtimeStream, SizeType32 maxSequenceLength) const;
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private:
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//! @brief Setups decoder internal tensors for new speculative decoding request
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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, CudaStreamPtr runtimeStream,
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CudaStreamPtr decoderStream, SpeculativeDecodingMode const& speculativeDecodingMode,
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SizeType32 maxDecodingEngineTokens) const;
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//! @brief Setups decoder internal tensors for new request in Draft model Sps mode
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void newRequestDraftTokensExternal(SizeType32 batchIdx, runtime::decoder_batch::Request const& request,
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SamplingConfig const& samplingConfig, DecodingInput& jointDecodingInput, CudaStreamPtr decoderStream) const;
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//! @brief Setups decoder internal tensors for new Medusa request
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void newRequestMedusa(SizeType32 batchIdx, runtime::decoder_batch::Request const& request,
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DecodingInput& jointDecodingInput, CudaStreamPtr decoderStream, SizeType32 maxDecodingEngineTokens) const;
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//! @brief Setups decoder internal tensors for new Lookahead request
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void newRequestLookahead(SizeType32 batchIdx, runtime::decoder_batch::Request const& request,
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DecodingInput& jointDecodingInput, DecodingOutput& jointDecodingOutput, CudaStreamPtr runtimeStream) const;
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//! @brief Setups decoder internal tensors for new Explicit draft tokens request
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void newRequestExplicitDraftTokens(SizeType32 batchIdx, runtime::decoder_batch::Request const& request,
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DecodingOutput& jointDecodingOutput, CudaStreamPtr runtimeStream) const;
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//! @brief Setups decoder internal tensors for new Eagle request
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void newRequestEagle(SizeType32 batchIdx, runtime::decoder_batch::Request const& request,
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runtime::ModelConfig const& modelConfig, DecodingOutput& jointDecodingOutput,
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CudaStreamPtr runtimeStream) const;
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};
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} // namespace tensorrt_llm::batch_manager
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