/* * SPDX-FileCopyrightText: Copyright (c) 2025 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. */ #include "rnnStateBuffers.h" #include "tensorrt_llm/batch_manager/llmRequest.h" #include "tensorrt_llm/batch_manager/rnnStateManager.h" #include "tensorrt_llm/batch_manager/runtimeBuffers.h" #include "tensorrt_llm/common/nvtxUtils.h" #include "tensorrt_llm/runtime/tllmRuntime.h" using namespace tensorrt_llm::runtime; namespace tensorrt_llm::batch_manager { RnnStateBuffers::RnnStateBuffers(SizeType32 maxBatchSize, runtime::TllmRuntime const& runtime) { auto const& manager = runtime.getBufferManager(); slotMappingHost = BufferManager::cpu(ITensor::makeShape({maxBatchSize}), nvinfer1::DataType::kINT32); slotMappingDevice = manager.gpu(ITensor::makeShape({maxBatchSize}), nvinfer1::DataType::kINT32); } void RnnStateBuffers::reshape(SizeType32 numSequences) { slotMappingHost->reshape(ITensor::makeShape({numSequences})); slotMappingDevice->reshape(ITensor::makeShape({numSequences})); } void RnnStateBuffers::fillSlotMappings( RequestVector const& contextRequests, rnn_state_manager::RnnStateManager* rnnStateManager) { TLLM_LOG_TRACE("%s start", __PRETTY_FUNCTION__); NVTX3_SCOPED_RANGE(rnnStateBuffersFillSlotMappings); SizeType32 batchIdx{0}; for (auto const& llmReq : contextRequests) { auto const seqSlot = llmReq->mSeqSlot.value(); auto const reqBeamWidth = llmReq->mSamplingConfig.beamWidth; rnnStateManager->fillSlotMapping(*slotMappingHost, batchIdx, seqSlot, reqBeamWidth); ++batchIdx; } TLLM_LOG_TRACE("%s stop", __PRETTY_FUNCTION__); } void RnnStateBuffers::copySlotMappingH2D(runtime::TllmRuntime const& runtime) { auto const& manager = runtime.getBufferManager(); manager.copy(*slotMappingHost, *slotMappingDevice); } void RnnStateBuffers::getBuffers(TensorMap& inputBuffers) const { TLLM_LOG_TRACE("%s start", __PRETTY_FUNCTION__); NVTX3_SCOPED_RANGE(rnnStateBuffersGetBuffers); inputBuffers.insert_or_assign("slot_mapping", slotMappingDevice); TLLM_LOG_TRACE("%s stop", __PRETTY_FUNCTION__); } } // namespace tensorrt_llm::batch_manager