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//
// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "ElementwiseBinaryTestHelper.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("ElementwiseBinaryTest")
{
TEST_CASE ("Add_Float32_GpuAcc_Test")
{
// Create the ArmNN Delegate
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc,
armnn::Compute::CpuRef };
// Set input data
std::vector<int32_t> input0Shape { 2, 2, 2, 3 };
std::vector<int32_t> input1Shape { 2, 2, 2, 3 };
std::vector<int32_t> outputShape { 2, 2, 2, 3 };
std::vector<float> input0Values =
{
0.0f, 2.0f, 1.0f,
0.2f, 1.0f, 2.0f,
1.0f, 2.0f, 1.0f,
0.2f, 1.0f, 2.0f,
0.0f, 2.0f, 1.0f,
4.2f, 1.0f, 2.0f,
0.0f, 0.0f, 1.0f,
0.2f, 1.0f, 2.0f,
};
std::vector<float> input1Values =
{
1.0f, 2.0f, 1.0f,
0.0f, 1.0f, 2.0f,
1.0f, 2.0f, -2.0f,
0.2f, 1.0f, 2.0f,
0.0f, 2.0f, 1.0f,
4.2f, 0.0f, -3.0f,
0.0f, 0.0f, 1.0f,
0.7f, 1.0f, 5.0f,
};
std::vector<float> expectedOutputValues =
{
1.0f, 4.0f, 2.0f,
0.2f, 2.0f, 4.0f,
2.0f, 4.0f, -1.0f,
0.4f, 2.0f, 4.0f,
0.0f, 4.0f, 2.0f,
8.4f, 1.0f, -1.0f,
0.0f, 0.0f, 2.0f,
0.9f, 2.0f, 7.0f,
};
ElementwiseBinaryFP32Test(tflite::BuiltinOperator_ADD,
tflite::ActivationFunctionType_NONE,
backends,
input0Shape,
input1Shape,
outputShape,
input0Values,
input1Values,
expectedOutputValues);
}
TEST_CASE ("Add_Broadcast_Float32_GpuAcc_Test")
{
// Create the ArmNN Delegate
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc,
armnn::Compute::CpuRef };
// Set input data
std::vector<int32_t> input0Shape { 1, 3, 2, 1 };
std::vector<int32_t> input1Shape { 1, 1, 2, 3 };
std::vector<int32_t> outputShape { 1, 3, 2, 3 };
std::vector<float> input0Values
{
0.0f,
1.0f,
2.0f,
3.0f,
4.0f,
5.0f,
};
std::vector<float> input1Values
{
0.5f, 1.5f, 2.5f,
3.5f, 4.5f, 5.5f,
};
// Set output data
std::vector<float> expectedOutputValues
{
0.5f, 1.5f, 2.5f,
4.5f, 5.5f, 6.5f,
2.5f, 3.5f, 4.5f,
6.5f, 7.5f, 8.5f,
4.5f, 5.5f, 6.5f,
8.5f, 9.5f, 10.5f,
};
ElementwiseBinaryFP32Test(tflite::BuiltinOperator_ADD,
tflite::ActivationFunctionType_NONE,
backends,
input0Shape,
input1Shape,
outputShape,
input0Values,
input1Values,
expectedOutputValues);
}
TEST_CASE ("Add_ActivationRELU_Float32_GpuAcc_Test")
{
// Create the ArmNN Delegate
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc,
armnn::Compute::CpuRef };
// Set input data
std::vector<int32_t> input0Shape { 1, 2, 2, 1 };
std::vector<int32_t> input1Shape { 1, 2, 2, 1 };
std::vector<int32_t> outputShape { 1, 2, 2, 1 };
std::vector<float> input0Values { 4.0f, 0.8f, 0.7f, -0.8f };
std::vector<float> input1Values { 0.7f, -1.2f, 0.8f, 0.5f };
// Set output data
std::vector<float> expectedOutputValues { 4.7f, 0.0f, 1.5f, 0.0f };
ElementwiseBinaryFP32Test(tflite::BuiltinOperator_ADD,
tflite::ActivationFunctionType_RELU,
backends,
input0Shape,
input1Shape,
outputShape,
input0Values,
input1Values,
expectedOutputValues);
}
}
} // namespace armnnDelegate