/* * Copyright (c) 2019-2024, NVIDIA CORPORATION. All rights reserved. * * 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/layers/baseLayer.h" #include "tensorrt_llm/layers/decodingParams.h" #include "tensorrt_llm/runtime/common.h" #include "tensorrt_llm/runtime/decodingOutput.h" #include #include namespace tc = tensorrt_llm::common; namespace tensorrt_llm::layers { template class BeamSearchLayer : public BaseLayer { using Base = BaseLayer; public: BeamSearchLayer(DecoderDomain const& decoderDomain, std::shared_ptr bufferManager); void setup(runtime::SizeType32 const batchSize, runtime::SizeType32 const beamWidth, BufferConstPtr batchSlots, std::shared_ptr const& setupParams) override; void forwardAsync(std::shared_ptr const& outputs, std::shared_ptr const& inputs) override; [[nodiscard]] size_t getWorkspaceSize() const noexcept override; private: void allocateBuffer(runtime::SizeType32 batchSize, runtime::SizeType32 beamWidth); private: using Base::mDecoderDomain; BufferPtr mWorkspace; TensorPtr mDiversityRateDevice; //