diff options
Diffstat (limited to 'tests/InterfaceTests/OpaqueDelegateTest.cpp')
-rw-r--r-- | tests/InterfaceTests/OpaqueDelegateTest.cpp | 67 |
1 files changed, 67 insertions, 0 deletions
diff --git a/tests/InterfaceTests/OpaqueDelegateTest.cpp b/tests/InterfaceTests/OpaqueDelegateTest.cpp new file mode 100644 index 0000000000..240a295393 --- /dev/null +++ b/tests/InterfaceTests/OpaqueDelegateTest.cpp @@ -0,0 +1,67 @@ +// +// Copyright © 2023 Arm Ltd and Contributors. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include <armnn_delegate.hpp> + +#include <tensorflow/lite/c/common.h> +#include <tensorflow/lite/core/model.h> +#include <tensorflow/lite/interpreter.h> +#include <tensorflow/lite/kernels/register.h> + +int main() +{ + std::unique_ptr<tflite::FlatBufferModel> model; + model = tflite::FlatBufferModel::BuildFromFile("./simple_conv2d_1_op.tflite"); + if (!model) + { + std::cout << "Failed to load TfLite model from: ./simple_conv2d_1_op.tflite" << std::endl; + return -1; + } + std::unique_ptr<tflite::Interpreter> m_TfLiteInterpreter; + m_TfLiteInterpreter = std::make_unique<tflite::Interpreter>(); + tflite::ops::builtin::BuiltinOpResolver resolver; + tflite::InterpreterBuilder builder(*model, resolver); + if (builder(&m_TfLiteInterpreter) != kTfLiteOk) + { + std::cout << "Error loading the model into the TfLiteInterpreter." << std::endl; + return -1; + } + // Use default settings until options have been enabled + flatbuffers::FlatBufferBuilder flatBufferBuilder; + tflite::TFLiteSettingsBuilder tfliteSettingsBuilder(flatBufferBuilder); + flatbuffers::Offset<tflite::TFLiteSettings> tfliteSettings = tfliteSettingsBuilder.Finish(); + flatBufferBuilder.Finish(tfliteSettings); + const tflite::TFLiteSettings* settings = + flatbuffers::GetRoot<tflite::TFLiteSettings>(flatBufferBuilder.GetBufferPointer()); + + std::unique_ptr<tflite::delegates::DelegatePluginInterface> delegatePlugIn = + tflite::delegates::DelegatePluginRegistry::CreateByName("armnn_delegate", *settings); + + // Create Armnn Opaque Delegate from Armnn Delegate Plugin + tflite::delegates::TfLiteDelegatePtr armnnDelegate = delegatePlugIn->Create(); + + // Add Delegate to the builder + builder.AddDelegate(armnnDelegate.get()); + if (builder(&m_TfLiteInterpreter) != kTfLiteOk) + { + std::cout << "Unable to add the Arm NN delegate to the TfLite runtime." << std::endl; + return -1; + } + + if (m_TfLiteInterpreter->AllocateTensors() != kTfLiteOk) + { + std::cout << "Failed to allocate tensors in the TfLiteInterpreter." << std::endl; + return -1; + } + + // Really should populate the tensors here, but it'll work without it. + + int status = m_TfLiteInterpreter->Invoke(); + if (status != kTfLiteOk) + { + std::cout << "Inference failed." << std::endl; + return -1; + } +} |