mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
synced 2026-01-14 06:27:45 +08:00
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
76 lines
3.0 KiB
C++
76 lines
3.0 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/common.h"
|
|
#include "tensorrt_llm/batch_manager/runtimeBuffers.h"
|
|
#include "tensorrt_llm/batch_manager/trtGptModelOptionalParams.h"
|
|
#include "tensorrt_llm/common/algorithm.h"
|
|
#include "tensorrt_llm/runtime/common.h"
|
|
#include "tensorrt_llm/runtime/modelConfig.h"
|
|
#include "tensorrt_llm/runtime/request.h"
|
|
#include "tensorrt_llm/runtime/samplingConfig.h"
|
|
#include "tensorrt_llm/runtime/tllmRuntime.h"
|
|
#include "tensorrt_llm/runtime/worldConfig.h"
|
|
|
|
namespace tensorrt_llm::batch_manager
|
|
{
|
|
|
|
namespace tr = tensorrt_llm::runtime;
|
|
namespace tle = tensorrt_llm::executor;
|
|
|
|
class GenerateRequestOptions : Algorithm
|
|
{
|
|
public:
|
|
constexpr static auto name{"GenerateRequestOptions"};
|
|
|
|
using SizeType32 = tr::SizeType32;
|
|
using ITensor = tr::ITensor;
|
|
using TensorPtr = tr::ITensor::SharedPtr;
|
|
|
|
GenerateRequestOptions(bool speculativeDecodingFastLogits, bool isLeaderInOrchMode, bool isNormalizeLogProbs)
|
|
: mSpeculativeDecodingFastLogits(speculativeDecodingFastLogits)
|
|
, mIsLeaderInOrchMode(isLeaderInOrchMode)
|
|
, mIsNormalizeLogProbs(isNormalizeLogProbs)
|
|
{
|
|
}
|
|
|
|
std::tuple<std::vector<SizeType32>, std::vector<tr::decoder_batch::Request>, std::vector<tr::SamplingConfig>>
|
|
operator()(tr::ModelConfig const& modelConfig, tr::WorldConfig const& worldConfig,
|
|
executor::DecodingConfig const& decodingConfig, runtime::TllmRuntime const& runtime,
|
|
RequestVector const& contextRequests, RuntimeBuffers& buffers, TensorPtr& decoderInputsIds) const;
|
|
|
|
private:
|
|
std::shared_ptr<runtime::ITensor> retrieveDraftLogits(tr::ModelConfig const& modelConfig,
|
|
tr::WorldConfig const& worldConfig, std::shared_ptr<runtime::ITensor> tensor,
|
|
runtime::TllmRuntime const& runtime) const;
|
|
|
|
/// @brief Retrieve the embedding bias from the request. This potentially makes a copy of the tensor
|
|
/// to the appropriate type if the input tensor does not match it.
|
|
TensorPtr getEmbeddingBias(runtime::TllmRuntime const& runtime, TensorPtr const& tensor) const;
|
|
|
|
std::optional<TensorPtr> targetModelReceiveLogits(
|
|
executor::SpeculativeDecodingFastLogitsInfo const& fastLogitsInfo, runtime::TllmRuntime const& runtime) const;
|
|
|
|
bool mSpeculativeDecodingFastLogits;
|
|
bool mIsLeaderInOrchMode;
|
|
bool mIsNormalizeLogProbs;
|
|
};
|
|
|
|
} // namespace tensorrt_llm::batch_manager
|