mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
synced 2026-01-14 06:27:45 +08:00
164 lines
12 KiB
C++
164 lines
12 KiB
C++
/*
|
|
* SPDX-FileCopyrightText: Copyright (c) 2022-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
|
* SPDX-License-Identifier: Apache-2.0
|
|
*
|
|
* Licensed under the Apache License, Version 2.0 (the "License");
|
|
* you may not use this file except in compliance with the License.
|
|
* You may obtain a copy of the License at
|
|
*
|
|
* http://www.apache.org/licenses/LICENSE-2.0
|
|
*
|
|
* Unless required by applicable law or agreed to in writing, software
|
|
* distributed under the License is distributed on an "AS IS" BASIS,
|
|
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
* See the License for the specific language governing permissions and
|
|
* limitations under the License.
|
|
*/
|
|
|
|
#pragma once
|
|
|
|
#include "tensorrt_llm/batch_manager/llmRequest.h"
|
|
#include "tensorrt_llm/pybind/common/customCasters.h"
|
|
|
|
#include <ATen/ATen.h>
|
|
#include <ATen/ops/tensor.h>
|
|
#include <memory>
|
|
#include <optional>
|
|
#include <pybind11/pybind11.h>
|
|
|
|
namespace tensorrt_llm::pybind::batch_manager
|
|
{
|
|
|
|
namespace tb = tensorrt_llm::batch_manager;
|
|
|
|
/* Unfortunately, torch's default pybind bindings don't know about c10::cuda::CUDAStream,
|
|
* so we have to pass the more generic c10::Stream, and convert it back to a full-fledged
|
|
* torch.cuda.Stream in python. See example in test/bindings/test_gpt_manager.py
|
|
*/
|
|
class LlmRequest : public tb::GenericLlmRequest<at::Tensor, c10::Stream>
|
|
{
|
|
public:
|
|
using Base = GenericLlmRequest<at::Tensor, c10::Stream>;
|
|
using TensorPtr = Base::TensorPtr;
|
|
using SizeType32 = Base::SizeType32;
|
|
using TokenIdType = Base::TokenIdType;
|
|
using RequestIdType = Base::RequestIdType;
|
|
using LoraTaskIdType = Base::LoraTaskIdType;
|
|
using VecLogProbs = Base::VecLogProbs;
|
|
using BeamTokens = Base::BeamTokens;
|
|
using VecTokens = Base::VecTokens;
|
|
using VecTokenExtraIds = Base::VecTokenExtraIds;
|
|
using LogitsPostProcessor = Base::LogitsPostProcessor;
|
|
using CacheSaltIDType = Base::CacheSaltIDType;
|
|
|
|
LlmRequest(RequestIdType requestId, SizeType32 maxNewTokens, std::vector<TokenIdType> inputTokens,
|
|
runtime::SamplingConfig samplingConfig, bool isStreaming, std::optional<SizeType32> endId = std::nullopt,
|
|
std::optional<SizeType32> padId = std::nullopt, std::optional<TensorPtr> embeddingBias = std::nullopt,
|
|
std::optional<TensorPtr> badWordsList = std::nullopt, std::optional<TensorPtr> stopWordsList = std::nullopt,
|
|
std::optional<std::vector<SizeType32>> positionIds = std::nullopt,
|
|
std::optional<TensorPtr> promptEmbeddingTable = std::nullopt,
|
|
std::optional<SizeType32> promptVocabSize = std::nullopt,
|
|
std::optional<std::vector<std::vector<SizeType32>>> multimodalHashes = std::nullopt,
|
|
std::optional<std::vector<SizeType32>> multimodalPositions = std::nullopt,
|
|
std::optional<std::vector<SizeType32>> multimodalLengths = std::nullopt,
|
|
std::optional<TensorPtr> multimodalEmbedding = std::nullopt,
|
|
std::optional<TensorPtr> mropeRotaryCosSin = std::nullopt,
|
|
std::optional<SizeType32> mropePositionDeltas = std::nullopt,
|
|
std::optional<LoraTaskIdType> loraTaskId = std::nullopt, std::optional<TensorPtr> loraWeights = std::nullopt,
|
|
std::optional<TensorPtr> loraConfig = std::nullopt,
|
|
std::optional<executor::LookaheadDecodingConfig> lookaheadConfig = std::nullopt,
|
|
std::optional<executor::KvCacheRetentionConfig> kvCacheRetentionConfig = std::nullopt,
|
|
bool returnLogProbs = false, bool returnContextLogits = false, bool returnGenerationLogits = false,
|
|
std::optional<VecTokens> draftTokens = std::nullopt, std::optional<TensorPtr> draftLogits = std::nullopt,
|
|
bool excludeInputFromOutput = false, std::optional<LogitsPostProcessor> logitsPostProcessor = std::nullopt,
|
|
bool applyLogitsPostProcessorBatched = false, std::optional<VecTokens> encoderInputTokens = std::nullopt,
|
|
bool returnEncoderOutput = false, std::optional<RequestIdType> clientId = std::nullopt,
|
|
executor::PriorityType priority = executor::Request::kDefaultPriority,
|
|
std::optional<TensorPtr> encoderInputFeatures = std::nullopt,
|
|
std::optional<SizeType32> encoderOutputLength = std::nullopt,
|
|
std::optional<TensorPtr> crossAttentionMask = std::nullopt,
|
|
tb::LlmRequestType llmRequestType = tb::LlmRequestType::LLMREQUEST_TYPE_CONTEXT_AND_GENERATION,
|
|
std::optional<VecTokenExtraIds> inputTokenExtraIds = std::nullopt, SizeType32 numReturnSequences = 1,
|
|
std::optional<executor::EagleConfig> eagleConfig = std::nullopt,
|
|
std::optional<TensorPtr> skipCrossAttnBlocks = std::nullopt, bool returnPerfMetrics = false,
|
|
std::optional<executor::GuidedDecodingParams> guidedDecodingParams = std::nullopt,
|
|
std::optional<SizeType32> languageAdapterUid = std::nullopt,
|
|
std::optional<MillisecondsType> allottedTimeMs = std::nullopt,
|
|
std::optional<executor::ContextPhaseParams> const& contextPhaseParams = std::nullopt,
|
|
std::optional<CacheSaltIDType> cacheSaltID = std::nullopt,
|
|
std::optional<TimePoint> arrivalTime = std::nullopt)
|
|
: Base(requestId, //
|
|
maxNewTokens, //
|
|
std::make_shared<std::vector<TokenIdType>>(std::move(inputTokens)), //
|
|
samplingConfig, //
|
|
isStreaming, //
|
|
endId, //
|
|
padId, //
|
|
embeddingBias, //
|
|
badWordsList, //
|
|
stopWordsList, //
|
|
positionIds.has_value() ? std::make_shared<std::vector<SizeType32>>(std::move(positionIds.value())) //
|
|
: std::optional<std::shared_ptr<std::vector<SizeType32>>>(std::nullopt), //
|
|
promptEmbeddingTable, //
|
|
promptVocabSize, //
|
|
multimodalHashes.has_value()
|
|
? std::make_optional(
|
|
std::make_shared<std::vector<std::vector<SizeType32>>>(std::move(multimodalHashes.value()))) //
|
|
: std::optional<std::shared_ptr<std::vector<std::vector<SizeType32>>>>(std::nullopt), //
|
|
multimodalPositions.has_value()
|
|
? std::make_shared<std::vector<SizeType32>>(std::move(multimodalPositions.value())) //
|
|
: std::optional<std::shared_ptr<std::vector<SizeType32>>>(std::nullopt), //
|
|
multimodalLengths.has_value()
|
|
? std::make_shared<std::vector<SizeType32>>(std::move(multimodalLengths.value())) //
|
|
: std::optional<std::shared_ptr<std::vector<SizeType32>>>(std::nullopt), //
|
|
multimodalEmbedding, //
|
|
mropeRotaryCosSin, //
|
|
mropePositionDeltas, //
|
|
loraTaskId, //
|
|
loraWeights, //
|
|
loraConfig, //
|
|
lookaheadConfig, //
|
|
kvCacheRetentionConfig, //
|
|
returnLogProbs, //
|
|
returnContextLogits, //
|
|
returnGenerationLogits, //
|
|
draftTokens.has_value() ? std::make_shared<VecTokens>(std::move(draftTokens.value())) //
|
|
: std::make_shared<VecTokens>(), //
|
|
draftLogits, //
|
|
excludeInputFromOutput, //
|
|
logitsPostProcessor, //
|
|
applyLogitsPostProcessorBatched, //
|
|
encoderInputTokens ? std::make_optional(std::make_shared<VecTokens>(std::move(*encoderInputTokens))) //
|
|
: std::optional<std::shared_ptr<VecTokens>>(std::nullopt), //
|
|
returnEncoderOutput, //
|
|
clientId, //
|
|
priority, //
|
|
encoderInputFeatures, //
|
|
encoderOutputLength, //
|
|
crossAttentionMask, //
|
|
llmRequestType, //
|
|
inputTokenExtraIds //
|
|
? std::make_optional(std::make_shared<VecTokenExtraIds>(std::move(*inputTokenExtraIds))) //
|
|
: std::optional<std::shared_ptr<VecTokenExtraIds>>(std::nullopt), //
|
|
numReturnSequences, //
|
|
eagleConfig, //
|
|
skipCrossAttnBlocks, //
|
|
returnPerfMetrics, //
|
|
guidedDecodingParams, //
|
|
languageAdapterUid, //
|
|
allottedTimeMs, //
|
|
contextPhaseParams, //
|
|
cacheSaltID, //
|
|
arrivalTime //
|
|
)
|
|
{
|
|
}
|
|
|
|
static std::optional<tb::LlmRequest::LogitsPostProcessor> callbackAdapter(
|
|
std::optional<LlmRequest::LogitsPostProcessor> callback);
|
|
|
|
[[nodiscard]] std::shared_ptr<tensorrt_llm::batch_manager::LlmRequest> toTrtLlm() const;
|
|
};
|
|
|
|
} // namespace tensorrt_llm::pybind::batch_manager
|