wilfChen
4 years ago
parent
a48785cdcc
commit
e1d443efe3
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/**
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* Copyright 2021 Huawei Technologies Co., Ltd
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include "runtime/device/gpu/trt_loader.h"
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#include <dlfcn.h>
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#include <memory>
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#include <NvInferRuntimeCommon.h>
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#include "backend/kernel_compiler/gpu/trt/trt_utils.h"
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namespace mindspore {
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namespace device {
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namespace gpu {
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TrtLoader::TrtLoader()
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: nvinfer_loaded_(false), nvinfer_handle_(nullptr), create_infer_builder_(nullptr), create_infer_runtime_(nullptr) {
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nvinfer_handle_ = dlopen("libnvinfer.so", RTLD_NOW | RTLD_LOCAL);
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if (nvinfer_handle_ == nullptr) {
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MS_LOG(WARNING) << "Can not open libnvinfer.so. " << dlerror()
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<< ". Install Tensor-RT and export LD_LIBRARY_PATH=${TENSORRT_HOME}/lib:$LD_LIBRARY_PATH.";
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MS_LOG(WARNING) << "Inference with native backend.";
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return;
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}
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create_infer_builder_ = (CreateInferBuilder_t)dlsym(nvinfer_handle_, "createInferBuilder_INTERNAL");
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if (create_infer_builder_ == nullptr) {
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MS_LOG(WARNING) << "Failed to get createInferBuilder_INTERNAL symbol. " << dlerror();
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return;
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}
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create_infer_runtime_ = (CreateInferRuntime_t)dlsym(nvinfer_handle_, "createInferRuntime_INTERNAL");
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if (create_infer_runtime_ == nullptr) {
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MS_LOG(WARNING) << "Failed to get createInferRuntime_INTERNAL symbol. " << dlerror();
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return;
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}
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nvinfer_loaded_ = true;
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}
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TrtLoader::~TrtLoader() {
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if (nvinfer_handle_ != nullptr) {
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dlclose(nvinfer_handle_);
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}
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}
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std::shared_ptr<nvinfer1::IBuilder> TrtLoader::CreateInferBuilder(nvinfer1::ILogger *logger) {
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return TrtPtr<nvinfer1::IBuilder>(create_infer_builder_(*logger, NV_TENSORRT_VERSION));
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}
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std::shared_ptr<nvinfer1::IRuntime> TrtLoader::CreateInferRuntime(nvinfer1::ILogger *logger) {
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return TrtPtr<nvinfer1::IRuntime>(create_infer_runtime_(*logger, NV_TENSORRT_VERSION));
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}
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} // namespace gpu
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} // namespace device
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} // namespace mindspore
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@ -0,0 +1,45 @@
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/**
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* Copyright 2021 Huawei Technologies Co., Ltd
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#ifndef MINDSPORE_CCSRC_BACKEND_RUNTIME_DEVICE_GPU_TRT_LOADER_H_
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#define MINDSPORE_CCSRC_BACKEND_RUNTIME_DEVICE_GPU_TRT_LOADER_H_
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#include <memory>
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#include <NvInfer.h>
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namespace mindspore {
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namespace device {
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namespace gpu {
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typedef nvinfer1::IBuilder *(*CreateInferBuilder_t)(nvinfer1::ILogger &, int);
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typedef nvinfer1::IRuntime *(*CreateInferRuntime_t)(nvinfer1::ILogger &, int);
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class TrtLoader {
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public:
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TrtLoader();
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~TrtLoader();
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std::shared_ptr<nvinfer1::IBuilder> CreateInferBuilder(nvinfer1::ILogger *logger);
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std::shared_ptr<nvinfer1::IRuntime> CreateInferRuntime(nvinfer1::ILogger *logger);
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bool nvinfer_loaded() { return nvinfer_loaded_; }
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private:
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bool nvinfer_loaded_;
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void *nvinfer_handle_;
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CreateInferBuilder_t create_infer_builder_;
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CreateInferRuntime_t create_infer_runtime_;
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};
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} // namespace gpu
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} // namespace device
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} // namespace mindspore
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#endif // MINDSPORE_CCSRC_BACKEND_RUNTIME_DEVICE_GPU_TRT_LOADER_H_
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