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| author | Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> | 2019-10-24 17:07:43 +0100 |
|---|---|---|
| committer | Matteo Martincigh <matteo.martincigh@arm.com> | 2019-10-25 14:51:29 +0000 |
| commit | c82c8732fb514b412012002bd951a84039eca696 (patch) | |
| tree | 3f332d585fd86ff45ba514eb069be7fe26a2004a /tests/ExecuteNetwork | |
| parent | 1f826967da321f87b192bd1c29152b0f1fc51ed8 (diff) | |
| download | armnn-c82c8732fb514b412012002bd951a84039eca696.tar.gz | |
IVGCVSW-4008 Add profiling mode to ExecuteNetwork
* Removed the requirement for specifying a data file for each
input tensor
* Added the possibility to generate dummy tensor data (filled
with 0s) if no data files are specified by the user
* Warn the user when they request to save the output to a file,
but the input was generate, therefore rendering the output
useless
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: I8baed116dcd99fe380e419db322dc7e04ab1c653
Diffstat (limited to 'tests/ExecuteNetwork')
| -rw-r--r-- | tests/ExecuteNetwork/ExecuteNetwork.cpp | 16 |
1 files changed, 9 insertions, 7 deletions
diff --git a/tests/ExecuteNetwork/ExecuteNetwork.cpp b/tests/ExecuteNetwork/ExecuteNetwork.cpp index ee7d2c1f5c..59269328c9 100644 --- a/tests/ExecuteNetwork/ExecuteNetwork.cpp +++ b/tests/ExecuteNetwork/ExecuteNetwork.cpp @@ -69,9 +69,10 @@ int main(int argc, const char* argv[]) "The shape of the input tensors in the network as a flat array of integers separated by comma." "Several shapes can be passed by separating them with a colon (:)." "This parameter is optional, depending on the network.") - ("input-tensor-data,d", po::value(&inputTensorDataFilePaths), + ("input-tensor-data,d", po::value(&inputTensorDataFilePaths)->default_value(""), "Path to files containing the input data as a flat array separated by whitespace. " - "Several paths can be passed by separating them with a comma.") + "Several paths can be passed by separating them with a comma. If not specified, the network will be run " + "with dummy data (useful for profiling).") ("input-type,y",po::value(&inputTypes), "The type of the input tensors in the network separated by comma. " "If unset, defaults to \"float\" for all defined inputs. " "Accepted values (float, int or qasymm8)") @@ -255,14 +256,15 @@ int main(int argc, const char* argv[]) } // Create runtime armnn::IRuntime::CreationOptions options; - options.m_EnableGpuProfiling = enableProfiling; - options.m_DynamicBackendsPath = dynamicBackendsPath; - options.m_ProfilingOptions.m_EnableProfiling = enableExternalProfiling; + options.m_EnableGpuProfiling = enableProfiling; + options.m_DynamicBackendsPath = dynamicBackendsPath; + options.m_ProfilingOptions.m_EnableProfiling = enableExternalProfiling; options.m_ProfilingOptions.m_IncomingCaptureFile = incomingCaptureFile; options.m_ProfilingOptions.m_OutgoingCaptureFile = outgoingCaptureFile; - options.m_ProfilingOptions.m_FileOnly = fileOnlyExternalProfiling; - options.m_ProfilingOptions.m_CapturePeriod = counterCapturePeriod; + options.m_ProfilingOptions.m_FileOnly = fileOnlyExternalProfiling; + options.m_ProfilingOptions.m_CapturePeriod = counterCapturePeriod; std::shared_ptr<armnn::IRuntime> runtime(armnn::IRuntime::Create(options)); + return RunTest(modelFormat, inputTensorShapes, computeDevices, dynamicBackendsPath, modelPath, inputNames, inputTensorDataFilePaths, inputTypes, quantizeInput, outputTypes, outputNames, outputTensorFiles, enableProfiling, enableFp16TurboMode, thresholdTime, printIntermediate, |