| // |
| // Copyright © 2020 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "ElementwiseUnaryTestHelper.hpp" |
| |
| #include <armnn_delegate.hpp> |
| |
| #include <flatbuffers/flatbuffers.h> |
| #include <tensorflow/lite/interpreter.h> |
| #include <tensorflow/lite/kernels/register.h> |
| #include <tensorflow/lite/model.h> |
| #include <tensorflow/lite/schema/schema_generated.h> |
| #include <tensorflow/lite/version.h> |
| |
| #include <doctest/doctest.h> |
| |
| namespace armnnDelegate |
| { |
| |
| TEST_SUITE("AbsTest") |
| { |
| |
| TEST_CASE ("AbsTestFloat32") |
| { |
| using namespace tflite; |
| |
| const std::vector<int32_t> inputShape { { 3, 1, 2} }; |
| std::vector<char> modelBuffer = CreateElementwiseUnaryTfLiteModel(BuiltinOperator_ABS, |
| ::tflite::TensorType_FLOAT32, |
| inputShape); |
| const Model* tfLiteModel = GetModel(modelBuffer.data()); |
| |
| // Create TfLite Interpreters |
| std::unique_ptr<Interpreter> armnnDelegateInterpreter; |
| CHECK(InterpreterBuilder(tfLiteModel, ::tflite::ops::builtin::BuiltinOpResolver()) |
| (&armnnDelegateInterpreter) == kTfLiteOk); |
| CHECK(armnnDelegateInterpreter != nullptr); |
| CHECK(armnnDelegateInterpreter->AllocateTensors() == kTfLiteOk); |
| |
| std::unique_ptr<Interpreter> tfLiteInterpreter; |
| CHECK(InterpreterBuilder(tfLiteModel, ::tflite::ops::builtin::BuiltinOpResolver()) |
| (&tfLiteInterpreter) == kTfLiteOk); |
| CHECK(tfLiteInterpreter != nullptr); |
| CHECK(tfLiteInterpreter->AllocateTensors() == kTfLiteOk); |
| |
| // Create the ArmNN Delegate |
| auto delegateOptions = TfLiteArmnnDelegateOptionsDefault(); |
| auto armnnDelegate = TfLiteArmnnDelegateCreate(delegateOptions); |
| CHECK(armnnDelegate != nullptr); |
| // Modify armnnDelegateInterpreter to use armnnDelegate |
| CHECK(armnnDelegateInterpreter->ModifyGraphWithDelegate(armnnDelegate) == kTfLiteOk); |
| |
| // Set input data |
| std::vector<float> inputValues |
| { |
| -0.1f, -0.2f, -0.3f, |
| 0.1f, 0.2f, 0.3f |
| }; |
| auto tfLiteDelegateInputId = tfLiteInterpreter->inputs()[0]; |
| auto tfLiteDelageInputData = tfLiteInterpreter->typed_tensor<float>(tfLiteDelegateInputId); |
| for (unsigned int i = 0; i < inputValues.size(); ++i) |
| { |
| tfLiteDelageInputData[i] = inputValues[i]; |
| } |
| |
| auto armnnDelegateInputId = armnnDelegateInterpreter->inputs()[0]; |
| auto armnnDelegateInputData = armnnDelegateInterpreter->typed_tensor<float>(armnnDelegateInputId); |
| for (unsigned int i = 0; i < inputValues.size(); ++i) |
| { |
| armnnDelegateInputData[i] = inputValues[i]; |
| } |
| |
| // Run EnqueWorkload |
| CHECK(tfLiteInterpreter->Invoke() == kTfLiteOk); |
| CHECK(armnnDelegateInterpreter->Invoke() == kTfLiteOk); |
| |
| // Compare output data |
| auto tfLiteDelegateOutputId = tfLiteInterpreter->outputs()[0]; |
| auto tfLiteDelageOutputData = tfLiteInterpreter->typed_tensor<float>(tfLiteDelegateOutputId); |
| |
| auto armnnDelegateOutputId = armnnDelegateInterpreter->outputs()[0]; |
| auto armnnDelegateOutputData = armnnDelegateInterpreter->typed_tensor<float>(armnnDelegateOutputId); |
| |
| for (size_t i = 0; i < inputValues.size(); i++) |
| { |
| CHECK(std::abs(inputValues[i]) == armnnDelegateOutputData[i]); |
| CHECK(tfLiteDelageOutputData[i] == armnnDelegateOutputData[i]); |
| } |
| } |
| |
| } |
| |
| } // namespace armnnDelegate |
| |
| |
| |