Question

我正在执行简单的tensorflow代码来创建图def，如图所示

tensorflow::NewSession (options, &session)
ReadBinaryProto (tensorflow::Env::Default(), "/home/ashok/eclipseWorkspace/faceRecognition-x86_64/Data/models/optimized_facenet.pb", &graph_def));
session->Create (graph_def);

但是当我按下图所示运行Valgrind时

valgrind --leak-check=full --show-leak-kinds=all --vex-guest-max-insns=25 ./faceRecognition-x86_64 -r -i

我得到以下错误

==12366== 16,000 bytes in 1 blocks are still reachable in loss record 47,782 of 47,905
==12366==    at 0x4C2E19F: operator new(unsigned long) (in /usr/lib/valgrind/vgpreload_memcheck-amd64-linux.so)
==12366==    by 0xBF875DC: std::vector<tensorflow::CostModel::MemUsage, std::allocator<tensorflow::CostModel::MemUsage> >::reserve(unsigned long) (in /usr/lib/libtensorflow_cc.so)
==12366==    by 0xBF90128: tensorflow::CostModel::InitFromGraph(tensorflow::Graph const&) (in /usr/lib/libtensorflow_cc.so)
==12366==    by 0xBEE48D3: tensorflow::SimpleGraphExecutionState::InitBaseGraph(tensorflow::BuildGraphOptions const&) (in /usr/lib/libtensorflow_cc.so)
==12366==    by 0xBEE52CF: tensorflow::SimpleGraphExecutionState::MakeForBaseGraph(tensorflow::GraphDef*, tensorflow::SimpleGraphExecutionStateOptions const&, std::unique_ptr<tensorflow::SimpleGraphExecutionState, std::default_delete<tensorflow::SimpleGraphExecutionState> >*) (in /usr/lib/libtensorflow_cc.so)
==12366==    by 0xBE68B9D: tensorflow::DirectSession::MaybeInitializeExecutionState(tensorflow::GraphDef const&, bool*) (in /usr/lib/libtensorflow_cc.so)
==12366==    by 0xBE68CF9: tensorflow::DirectSession::ExtendLocked(tensorflow::GraphDef const&) (in /usr/lib/libtensorflow_cc.so)
==12366==    by 0xBE68FC7: tensorflow::DirectSession::Create(tensorflow::GraphDef const&) (in /usr/lib/libtensorflow_cc.so)
==12366==    by 0x26B899: TensorFlow::initializeRecognition() (in /home/ashok/eclipseWorkspace/faceRecognition-x86_64/Debug/faceRecognition-x86_64)
==12366==    by 0x24197D: RecognitionWithImages::RecognitionWithImages() (in /home/ashok/eclipseWorkspace/faceRecognition-x86_64/Debug/faceRecognition-x86_64)
==12366==    by 0x12F27C: main (in /home/ashok/eclipseWorkspace/faceRecognition-x86_64/Debug/faceRecognition-x86_64)

当我执行会话 - ＆gt;时，也会生成这些类型的错误run（）

由于上述问题，运行程序所需的内存随着时间的推移而不断增加，并且应用程序因某段时间后内存不足而崩溃

Answer 1

你关闭了会话吗？您还需要删除会话指针。

session->Close();
delete session;

Tensorflow c ++内存泄漏 - Valgrind

1 个答案: