IVGCVSW-5284 Refactor ExecuteNetwork

 * Removed boost program options and replaced it with cxxopts
 * Unified adding, parsing and validation of program options
   into the struct ProgramOptions
 * Program options are now parsed directly into ExecuteNetworkParams
   which can be passed directly to MainImpl
 * Split NetworkExecutionUtils into header and source
 * Removed RunTest
 * Removed RunCsvTest
 * Removed RunClTuning
 * Moved MainImpl back to ExecuteNetwork.cpp
 * Added additional util functions
The functionality of ExecuteNetwork remains the same. Only
cl tuning runs need to be started separately
and there is no short option for fp16-turbo-mode because -h is
reserved in cxxopts to print help messages

Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: Ib9689375c81e1a184c17bb3ea66c3550430bbe09

1 files changed, 48 insertions, 0 deletions

diff --git a/tests/ExecuteNetwork/ExecuteNetworkParams.hpp b/tests/ExecuteNetwork/ExecuteNetworkParams.hpp
new file mode 100644
index 0000000000..5490230ede
--- /dev/null
+++ b/tests/ExecuteNetwork/ExecuteNetworkParams.hpp
@@ -0,0 +1,48 @@
+//
+// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+
+#include <armnn/BackendId.hpp>
+#include <armnn/Tensor.hpp>
+
+/// Holds all parameters necessary to execute a network
+/// Check ExecuteNetworkProgramOptions.cpp for a description of each parameter
+struct ExecuteNetworkParams
+{
+    using TensorShapePtr = std::unique_ptr<armnn::TensorShape>;
+
+    std::vector<armnn::BackendId> m_ComputeDevices;
+    bool                          m_DequantizeOutput;
+    std::string                   m_DynamicBackendsPath;
+    bool                          m_EnableBf16TurboMode;
+    bool                          m_EnableFastMath = false;
+    bool                          m_EnableFp16TurboMode;
+    bool                          m_EnableLayerDetails = false;
+    bool                          m_EnableProfiling;
+    bool                          m_GenerateTensorData;
+    bool                          m_InferOutputShape = false;
+    std::vector<std::string>      m_InputNames;
+    std::vector<std::string>      m_InputTensorDataFilePaths;
+    std::vector<TensorShapePtr>   m_InputTensorShapes;
+    std::vector<std::string>      m_InputTypes;
+    bool                          m_IsModelBinary;
+    size_t                        m_Iterations;
+    std::string                   m_ModelFormat;
+    std::string                   m_ModelPath;
+    std::vector<std::string>      m_OutputNames;
+    std::vector<std::string>      m_OutputTensorFiles;
+    std::vector<std::string>      m_OutputTypes;
+    bool                          m_ParseUnsupported = false;
+    bool                          m_PrintIntermediate;
+    bool                          m_QuantizeInput;
+    size_t                        m_SubgraphId;
+    double                        m_ThresholdTime;
+    int                           m_TuningLevel;
+    std::string                   m_TuningPath;
+
+    // Ensures that the parameters for ExecuteNetwork fit together
+    void ValidateParams();
+};