1 files changed, 78 insertions, 0 deletions
diff --git a/tests/InterfaceTests/TfLiteParserTest.cpp b/tests/InterfaceTests/TfLiteParserTest.cpp
new file mode 100644
index 0000000000..1c74741e09
--- /dev/null
+++ b/tests/InterfaceTests/TfLiteParserTest.cpp
@@ -0,0 +1,78 @@
+//
+// Copyright © 2023 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+#include <armnn/INetwork.hpp>
+#include <armnn/IRuntime.hpp>
+#include <armnnTfLiteParser/ITfLiteParser.hpp>
+
+#include <iostream>
+
+int main()
+{
+    using namespace armnn;
+
+    // Create ArmNN runtime
+    IRuntime::CreationOptions options;    // default options
+    IRuntimePtr runtime = IRuntime::Create(options);
+    // Parse a TfLite file.
+    armnnTfLiteParser::ITfLiteParserPtr parser = armnnTfLiteParser::ITfLiteParser::Create();
+    try
+    {
+        INetworkPtr myNetwork = parser->CreateNetworkFromBinaryFile("./simple_conv2d_1_op.tflite");
+        // Optimise ArmNN network
+        IOptimizedNetworkPtr optNet = Optimize(*myNetwork, { Compute::CpuRef }, runtime->GetDeviceSpec());
+        if (!optNet)
+        {
+            std::cout << "Error: Failed to optimise the input network." << std::endl;
+            return 1;
+        }
+        NetworkId networkId;
+        // Load graph into runtime
+        Status loaded = runtime->LoadNetwork(networkId, std::move(optNet));
+        if (loaded != Status::Success)
+        {
+            std::cout << "Error: Failed to load the optimized network." << std::endl;
+            return 1;
+        }
+
+        // Setup the input and output.
+        std::vector<armnnTfLiteParser::BindingPointInfo> inputBindings;
+        std::vector<std::string> inputTensorNames = parser->GetSubgraphInputTensorNames(0);
+        inputBindings.push_back(parser->GetNetworkInputBindingInfo(0, inputTensorNames[0]));
+
+        std::vector<armnnTfLiteParser::BindingPointInfo> outputBindings;
+        std::vector<std::string> outputTensorNames = parser->GetSubgraphOutputTensorNames(0);
+        outputBindings.push_back(parser->GetNetworkOutputBindingInfo(0, outputTensorNames[0]));
+        TensorInfo inputTensorInfo(inputBindings[0].second);
+        inputTensorInfo.SetConstant(true);
+
+        // Allocate input tensors
+        armnn::InputTensors inputTensors;
+        std::vector<float> in_data(inputBindings[0].second.GetNumElements());
+        // Set some kind of values in the input.
+        for (int i = 0; i < inputBindings[0].second.GetNumElements(); i++)
+        {
+            in_data[i] = 1.0f + i;
+        }
+        inputTensors.push_back({ inputBindings[0].first, armnn::ConstTensor(inputTensorInfo, in_data.data()) });
+
+        // Allocate output tensors
+        armnn::OutputTensors outputTensors;
+        std::vector<float> out_data(outputBindings[0].second.GetNumElements());
+        outputTensors.push_back({ outputBindings[0].first, armnn::Tensor(outputBindings[0].second, out_data.data()) });
+
+        runtime->EnqueueWorkload(networkId, inputTensors, outputTensors);
+        runtime->UnloadNetwork(networkId);
+        // We're finished with the parser.
+        armnnTfLiteParser::ITfLiteParser::Destroy(parser.get());
+        parser.release();
+    }
+    catch (const std::exception& e)    // Could be: InvalidArgumentException, ParseException or a FileNotFoundException.
+    {
+        std::cout << "Unable to create parser for \"./simple_conv2d_1_op.tflite\". Reason: " << e.what() << std::endl;
+        return -1;
+    }
+
+    return 0;
+}