/* * Copyright (c) 2019-2024, NVIDIA CORPORATION. All rights reserved. * Copyright (c) 2021, NAVER Corp. Authored by CLOVA. * * 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 #include "tensorrt_llm/common/tensor.h" #include "tensorrt_llm/executor/types.h" #include "tensorrt_llm/layers/baseLayer.h" #include "tensorrt_llm/layers/beamSearchLayer.h" #include "tensorrt_llm/layers/decodingParams.h" #include "tensorrt_llm/layers/explicitDraftTokensLayer.h" #include "tensorrt_llm/layers/medusaDecodingLayer.h" #include "tensorrt_llm/layers/samplingLayer.h" namespace tc = tensorrt_llm::common; namespace tensorrt_llm { namespace layers { //! \brief Layer performs token decoding using sampling (beamWidth=1), beam search (beamWidth>1) or Medusa. template class DecodingLayer : public BaseLayer { public: DecodingLayer(executor::DecodingMode const& mode, DecoderDomain const& decoderDomain, cudaStream_t stream, std::shared_ptr allocator); ~DecodingLayer() override = default; void setup(runtime::SizeType32 batchSize, runtime::SizeType32 beamWidth, runtime::SizeType32 const* batchSlots, std::shared_ptr setupParams) override; //! \brief Calls single SamplingLayer::forwardAsync or MedusaDecodingLayer::forwardAsync in batched mode //! or runs BeamSearchLayer::forwardAsync in the loop for each request. //! Modifies outputs->logits in-place. void forwardAsync(std::shared_ptr outputs, std::shared_ptr inputs) override; //! \brief Calls forwardSync of configired decoding layer. void forwardSync(std::shared_ptr outputs, std::shared_ptr inputs) override; private: std::tuple, std::shared_ptr> prepareParams( std::shared_ptr outputs, std::shared_ptr inputs) const; private: using BaseLayer::mWorkspaceSize; using BaseLayer::mAllocatedSize; using BaseLayer::mStream; using BaseLayer::mAllocator; using BaseLayer::mDecoderDomain; executor::DecodingMode mDecodingMode; std::unique_ptr mDecodingLayer; }; } // namespace layers } // namespace tensorrt_llm