/* Copyright (c) 2016 PaddlePaddle Authors. 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 #ifdef USE_NVINFER_PLUGIN #include #endif #if !defined(_WIN32) #include #endif #include // NOLINT #include "paddle/fluid/platform/dynload/dynamic_loader.h" #include "paddle/fluid/platform/enforce.h" namespace paddle { namespace platform { namespace dynload { void* GetTensorRtHandle(); extern std::once_flag tensorrt_dso_flag; extern void* tensorrt_dso_handle; #ifdef USE_NVINFER_PLUGIN void* GetTensorRtPluginHandle(); extern std::once_flag tensorrt_plugin_dso_flag; extern void* tensorrt_plugin_dso_handle; #endif #define DECLARE_DYNAMIC_LOAD_TENSORRT_WRAP(__name) \ struct DynLoad__##__name { \ template \ auto operator()(Args... args) -> DECLARE_TYPE(__name, args...) { \ using tensorrt_func = decltype(&::__name); \ std::call_once(tensorrt_dso_flag, []() { \ tensorrt_dso_handle = paddle::platform::dynload::GetTensorRtHandle(); \ PADDLE_ENFORCE_NOT_NULL(tensorrt_dso_handle, \ platform::errors::Unavailable( \ "Load tensorrt %s failed", #__name)); \ }); \ static void* p_##__name = dlsym(tensorrt_dso_handle, #__name); \ PADDLE_ENFORCE_NOT_NULL( \ p_##__name, \ platform::errors::Unavailable("Load tensorrt %s failed", #__name)); \ return reinterpret_cast(p_##__name)(args...); \ } \ }; \ extern DynLoad__##__name __name #define DECLARE_DYNAMIC_LOAD_TENSORRT_PLUGIN_WRAP(__name) \ struct DynLoad__##__name { \ template \ auto operator()(Args... args) -> DECLARE_TYPE(__name, args...) { \ using tensorrt_plugin_func = decltype(&::__name); \ std::call_once(tensorrt_plugin_dso_flag, []() { \ tensorrt_plugin_dso_handle = \ paddle::platform::dynload::GetTensorRtPluginHandle(); \ PADDLE_ENFORCE_NOT_NULL( \ tensorrt_plugin_dso_handle, \ platform::errors::Unavailable("Load tensorrt plugin %s failed", \ #__name)); \ }); \ static void* p_##__name = dlsym(tensorrt_plugin_dso_handle, #__name); \ PADDLE_ENFORCE_NOT_NULL(p_##__name, \ platform::errors::Unavailable( \ "Load tensorrt plugin %s failed", #__name)); \ return reinterpret_cast(p_##__name)(args...); \ } \ }; \ extern DynLoad__##__name __name #define TENSORRT_RAND_ROUTINE_EACH(__macro) \ __macro(createInferBuilder_INTERNAL); \ __macro(createInferRuntime_INTERNAL); \ __macro(getPluginRegistry); #define TENSORRT_PLUGIN_RAND_ROUTINE_EACH(__macro) \ __macro(initLibNvInferPlugins); TENSORRT_RAND_ROUTINE_EACH(DECLARE_DYNAMIC_LOAD_TENSORRT_WRAP) #ifdef USE_NVINFER_PLUGIN TENSORRT_PLUGIN_RAND_ROUTINE_EACH(DECLARE_DYNAMIC_LOAD_TENSORRT_PLUGIN_WRAP) #endif } // namespace dynload } // namespace platform } // namespace paddle