57f9d638c0
Add LOG_WARNING_WITH_PREFIX to common/utils.h. Replace the use of LOG(WARNING) with this new macro. PiperOrigin-RevId: 317330336 Change-Id: Ife0aa0347dd72f6eb0f8805af4d46a7d4cb099ea
72 lines
2.0 KiB
C++
72 lines
2.0 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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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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return false;
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} else {
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return true;
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}
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#else
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return false;
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#endif
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}
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void GetLinkedTensorRTVersion(int* major, int* minor, int* patch) {
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#if GOOGLE_CUDA && GOOGLE_TENSORRT
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*major = NV_TENSORRT_MAJOR;
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*minor = NV_TENSORRT_MINOR;
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*patch = NV_TENSORRT_PATCH;
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#else
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*major = 0;
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*minor = 0;
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*patch = 0;
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#endif
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}
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void GetLoadedTensorRTVersion(int* major, int* minor, int* patch) {
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#if GOOGLE_CUDA && GOOGLE_TENSORRT
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int ver = getInferLibVersion();
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*major = ver / 1000;
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ver = ver - *major * 1000;
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*minor = ver / 100;
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*patch = ver - *minor * 100;
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#else
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*major = 0;
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*minor = 0;
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*patch = 0;
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#endif
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}
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} // namespace tensorrt
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} // namespace tensorflow
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