/* * SPDX-FileCopyrightText: Copyright (c) 1993-2024 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. */ #pragma once #include "NvInferPlugin.h" #include "allreduce_gemm_runner.h" #include "tensorrt_llm/common/cudaUtils.h" #include "tensorrt_llm/plugins/common/plugin.h" using namespace tensorrt_llm::kernels::cutlass_kernels; using namespace nvinfer1; namespace tensorrt_llm::plugins { class GemmAllReducePersistentWorkspace : public IPluginResource { public: GemmAllReducePersistentWorkspace(std::shared_ptr workspace) : mWorkspace(workspace) { } ////////////////////////////////// // IPluginResource Methods ////////////////////////////////// IPluginResource* clone() noexcept override { auto copy = new GemmAllReducePersistentWorkspace(mWorkspace); // Resource initialization (if any) may be skipped for non-cloned objects // since only clones will be registered by TensorRT. try { copy->mWorkspace->allocate(); return copy; } catch (std::exception const& e) { TLLM_LOG_ERROR(e.what()); return nullptr; } } int32_t release() noexcept override { try { return mWorkspace->free(); } catch (std::exception const& e) { TLLM_LOG_ERROR(e.what()); return -1; } } std::shared_ptr mWorkspace; }; } // namespace tensorrt_llm::plugins