/* * Copyright (c) 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/kernels/decodingCommon.h" #include "tensorrt_llm/kernels/speculativeDecoding/common.h" #include "tensorrt_llm/runtime/common.h" #include #include #include namespace tensorrt_llm::kernels::speculative_decoding { //! \brief assembles draft tokens to treeDraftIds from sourceDraftIds using indices of treeIds //! //! \param treeDraftIds output buffer [maxBatchSize, maxDecodingTokens-1], output draft tokens //! scattered from sourceDraftIds according to treeIds111 //! \param sourceDraftIds input buffer [maxBatchSize, maxDecodingTokens], draft tokens saved leanearly after //! sampling from Medusa heads with TopK. //! \param treeIds input buffer [maxBatchSize, maxDecodingTokens-1], address map from sourceDraftIds to treeDraftIds //! [0, unqiueDraftTokens] -> [0, maxDecodingTokens], where unqiueDraftTokens = sum(MedusaHeadsTopK) //! unqiueDraftTokens <= maxDraftTokens //! \param tokensPerStep input buffer [maxBatchSize], number of output draft tokens //! \param batchSlots input buffer [maxBatchSize], address map from local index //! to global index [0, batchSize] -> [0, maxBatchSize] //! \param maxDecodingTokens maximum number of tokens per step configured in the system //! \param batchSize current batch size //! \param stream cuda stream void scatterMedusaDraftTokens(runtime::TokenIdType* treeDraftIds, runtime::TokenIdType const* sourceDraftIds, runtime::SizeType32 const* treeIds, runtime::SizeType32 const* tokensPerStep, runtime::SizeType32 const* batchSlots, runtime::SizeType32 maxDecodingTokens, runtime::SizeType32 batchSize, cudaStream_t stream); } // namespace tensorrt_llm::kernels::speculative_decoding