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| author | Matthew Bentham <Matthew.Bentham@arm.com> | 2024-06-17 15:59:02 +0000 |
|---|---|---|
| committer | Cathal Corbett <cathal.corbett@arm.com> | 2024-06-18 08:38:03 +0000 |
| commit | c02f0d3d7b50638269bc8697d71c11f90b2857a3 (patch) | |
| tree | 77dd6d193a5cebb54a8d9aae36f5e1693cd39272 | |
| parent | 43c9e9a80f30c3ca1e2388053cbc4e834a632885 (diff) | |
| download | armnn-c02f0d3d7b50638269bc8697d71c11f90b2857a3.tar.gz | |
Fix segfault when using TfLite executor and output files are not specified
Signed-off-by: Matthew Bentham <Matthew.Bentham@arm.com>
Change-Id: I559111f479b577695ef71000c62a704cbe636238
| -rw-r--r-- | tests/ExecuteNetwork/TfliteExecutor.cpp | 3 |
1 files changed, 2 insertions, 1 deletions
diff --git a/tests/ExecuteNetwork/TfliteExecutor.cpp b/tests/ExecuteNetwork/TfliteExecutor.cpp index 94ff57320f..7a4ff55237 100644 --- a/tests/ExecuteNetwork/TfliteExecutor.cpp +++ b/tests/ExecuteNetwork/TfliteExecutor.cpp @@ -248,8 +248,10 @@ std::vector<const void *> TfLiteExecutor::Execute() TfLiteIntArray* outputDims = m_TfLiteInterpreter->tensor(tfLiteDelegateOutputId)->dims; // If we've been asked to write to a file then set a file output stream. Otherwise use stdout. FILE* outputTensorFile = stdout; + bool isNumpyOutput = false; if (!m_Params.m_OutputTensorFiles.empty()) { + isNumpyOutput = m_Params.m_OutputTensorFiles[outputIndex].find(".npy") != std::string::npos; outputTensorFile = fopen(m_Params.m_OutputTensorFiles[outputIndex].c_str(), "w"); if (outputTensorFile == NULL) { @@ -269,7 +271,6 @@ std::vector<const void *> TfLiteExecutor::Execute() outputSize *= outputDims->data[dim]; } - bool isNumpyOutput = m_Params.m_OutputTensorFiles[outputIndex].find(".npy") != std::string::npos; armnn::TensorShape shape(static_cast<unsigned int>(outputDims->size), outputDims->data); armnn::DataType dataType(GetDataType(*m_TfLiteInterpreter->tensor(tfLiteDelegateOutputId))); |