1 /* Copyright 2019 The TensorFlow Authors. All Rights Reserved. 2 3 Licensed under the Apache License, Version 2.0 (the "License"); 4 you may not use this file except in compliance with the License. 5 You may obtain a copy of the License at 6 7 http://www.apache.org/licenses/LICENSE-2.0 8 9 Unless required by applicable law or agreed to in writing, software 10 distributed under the License is distributed on an "AS IS" BASIS, 11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 See the License for the specific language governing permissions and 13 limitations under the License. 14 ==============================================================================*/ 15 16 #include "tensorflow/compiler/tf2tensorrt/utils/py_utils.h" 17 18 #include <string> 19 20 #if GOOGLE_CUDA && GOOGLE_TENSORRT 21 #include "tensorflow/compiler/tf2tensorrt/common/utils.h" 22 #include "tensorflow/compiler/tf2tensorrt/convert/op_converter_registry.h" 23 #include "tensorflow/stream_executor/platform/dso_loader.h" 24 #include "third_party/tensorrt/NvInfer.h" 25 #endif 26 27 namespace tensorflow { 28 namespace tensorrt { 29 IsGoogleTensorRTEnabled()30bool IsGoogleTensorRTEnabled() { 31 #if GOOGLE_CUDA && GOOGLE_TENSORRT 32 #if TF_USE_TENSORRT_STATIC 33 LOG(INFO) << "TensorRT libraries are statically linked, skip dlopen check"; 34 return true; 35 #else // TF_USE_TENSORRT_STATIC 36 auto handle_or = se::internal::DsoLoader::TryDlopenTensorRTLibraries(); 37 if (!handle_or.ok()) { 38 LOG_WARNING_WITH_PREFIX 39 << "Cannot dlopen some TensorRT libraries. If you would like " 40 "to use Nvidia GPU with TensorRT, please make sure the " 41 "missing libraries mentioned above are installed properly."; 42 } 43 return handle_or.ok(); 44 #endif // TF_USE_TENSORRT_STATIC 45 #else // GOOGLE_CUDA && GOOGLE_TENSORRT 46 return false; 47 #endif // GOOGLE_CUDA && GOOGLE_TENSORRT 48 } 49 GetRegisteredOpConverters()50std::vector<std::string> GetRegisteredOpConverters() { 51 #if GOOGLE_CUDA && GOOGLE_TENSORRT 52 auto* registry = tensorflow::tensorrt::convert::GetOpConverterRegistry(); 53 return registry->ListRegisteredOps(); 54 #else 55 return {"undef"}; 56 #endif 57 } 58 59 } // namespace tensorrt 60 } // namespace tensorflow 61