mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
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108 lines
3.3 KiB
C++
108 lines
3.3 KiB
C++
/*
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* Copyright (c) 2019-2024, NVIDIA CORPORATION. All rights reserved.
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* Copyright (c) 2021, NAVER Corp. Authored by CLOVA.
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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 <curand_kernel.h>
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#include "tensorrt_llm/common/tensor.h"
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#include "tensorrt_llm/layers/baseLayer.h"
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#include "tensorrt_llm/layers/decodingParams.h"
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#include "tensorrt_llm/layers/layerUtils.h"
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#include "tensorrt_llm/runtime/bufferManager.h"
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#include "tensorrt_llm/runtime/decodingMode.h"
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#include "tensorrt_llm/runtime/iTensor.h"
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namespace tensorrt_llm
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{
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namespace layers
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{
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//! \brief Layer applies penalties to the logits. Supports:
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//! 1. Temperature
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//! 2. Repetition penalty
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//! 3. Presence penalty
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//! 4. Frequency penalty
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//! 5. Min length penalty
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template <typename T>
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class PenaltyLayer : public BaseLayer
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{
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public:
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PenaltyLayer(runtime::DecodingMode const& mode, DecoderDomain const& decoderDomain, cudaStream_t stream,
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std::shared_ptr<tensorrt_llm::common::IAllocator> allocator);
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~PenaltyLayer() override;
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void setup(runtime::SizeType32 batchSize, runtime::SizeType32 beamWidth, runtime::SizeType32 const* batchSlots,
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std::shared_ptr<BaseSetupParams> setupParams) override;
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//! \brief Modifies 'outputs->logits' in-place with -INF for banned words
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void forward(std::shared_ptr<BaseOutputParams> outputs, std::shared_ptr<BaseInputParams> inputs) override;
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T* getRuntimeLogitsDevice()
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{
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return mRuntimeLogitsDevice;
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}
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private:
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void initialize();
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void allocateWorkspace();
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void allocateBuffer();
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void freeBuffer();
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private:
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using BaseLayer::mWorkspaceSize;
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using BaseLayer::mAllocatedSize;
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using BaseLayer::mStream;
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using BaseLayer::mAllocator;
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using BaseLayer::mDecoderDomain;
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runtime::DecodingMode mDecodingMode;
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float* mTemperatureDevice{nullptr};
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float* mRepetitionPenaltyDevice{nullptr};
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float* mPresencePenaltyDevice{nullptr};
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float* mFrequencyPenaltyDevice{nullptr};
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runtime::SizeType32* mMinLengthDevice{nullptr};
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T* mRuntimeLogitsDevice{nullptr};
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std::vector<float> mTemperature;
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std::vector<float> mRepetitionPenalty;
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std::vector<float> mPresencePenalty;
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std::vector<float> mFrequencyPenalty;
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std::vector<SizeType32> mMinLength;
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bool mUseTemperature{false};
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bool mUseRepetitionPenalty{false};
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bool mUsePresencePenalty{false};
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bool mUseFrequencyPenalty{false};
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bool mUseMinLength{false};
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runtime::SizeType32 mCyclicStep{0};
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runtime::SizeType32 mRuntimeMaxSeqLen{0};
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runtime::SizeType32 mConfiguredBeamWidth{-1};
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runtime::TokenIdType* mPenaltyWorkspaceDevice{nullptr};
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runtime::TokenIdType* mPenaltyWorkspacePrevDevice{nullptr};
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runtime::ITensor::SharedPtr mLogitsPtrsHost;
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};
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} // namespace layers
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} // namespace tensorrt_llm
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