49 lines
1.7 KiB
C++
49 lines
1.7 KiB
C++
/* Copyright 2019 The TensorFlow Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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 "tensorflow/compiler/tf2tensorrt/utils/py_utils.h"
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#if GOOGLE_CUDA && GOOGLE_TENSORRT
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#include "tensorflow/compiler/tf2tensorrt/common/utils.h"
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#include "tensorflow/stream_executor/platform/dso_loader.h"
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#include "third_party/tensorrt/NvInfer.h"
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#endif
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namespace tensorflow {
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namespace tensorrt {
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bool IsGoogleTensorRTEnabled() {
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#if GOOGLE_CUDA && GOOGLE_TENSORRT
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#if TF_USE_TENSORRT_STATIC
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LOG(INFO) << "TensorRT libraries are statically linked, skip dlopen check";
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return true;
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#else // TF_USE_TENSORRT_STATIC
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auto handle_or = se::internal::DsoLoader::TryDlopenTensorRTLibraries();
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if (!handle_or.ok()) {
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LOG_WARNING_WITH_PREFIX
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<< "Cannot dlopen some TensorRT libraries. If you would like "
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"to use Nvidia GPU with TensorRT, please make sure the "
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"missing libraries mentioned above are installed properly.";
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}
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return handle_or.ok();
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#endif // TF_USE_TENSORRT_STATIC
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#else // GOOGLE_CUDA && GOOGLE_TENSORRT
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return false;
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#endif // GOOGLE_CUDA && GOOGLE_TENSORRT
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}
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} // namespace tensorrt
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} // namespace tensorflow
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