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//
// Copyright © 2020, 2023-2024 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "ResizeTestHelper.hpp"
#include <doctest/doctest.h>
namespace armnnDelegate
{
void ResizeBiliniarFloat32Test(const std::vector<armnn::BackendId>& backends = {})
{
// Set input data
std::vector<float> input1Values
{
0.0f, 1.0f, 2.0f,
3.0f, 4.0f, 5.0f,
6.0f, 7.0f, 8.0f
};
const std::vector<int32_t> input2NewShape { 5, 5 };
// Calculate output data
std::vector<float> expectedOutputValues
{
0.0f, 0.6f, 1.2f, 1.8f, 2.0f,
1.8f, 2.4f, 3.0f, 3.6f, 3.8f,
3.6f, 4.2f, 4.8f, 5.4f, 5.6f,
5.4f, 6.0f, 6.6f, 7.2f, 7.4f,
6.0f, 6.6f, 7.2f, 7.8f, 8.0f
};
const std::vector<int32_t> input1Shape { 1, 3, 3, 1 };
const std::vector<int32_t> input2Shape { 2 };
const std::vector<int32_t> expectedOutputShape = { 1, 5, 5, 1 };
ResizeFP32TestImpl(tflite::BuiltinOperator_RESIZE_BILINEAR,
input1Values,
input1Shape,
input2NewShape,
input2Shape,
expectedOutputValues,
expectedOutputShape);
}
void ResizeNearestNeighbourFloat32Test(const std::vector<armnn::BackendId>& backends = {})
{
// Set input data
std::vector<float> input1Values { 1.0f, 2.0f, 3.0f, 4.0f }
;
const std::vector<int32_t> input2NewShape { 1, 1 };
// Calculate output data
std::vector<float> expectedOutputValues { 1.0f };
const std::vector<int32_t> input1Shape { 1, 2, 2, 1 };
const std::vector<int32_t> input2Shape { 2 };
const std::vector<int32_t> expectedOutputShape = { 1, 1, 1, 1 };
ResizeFP32TestImpl(tflite::BuiltinOperator_RESIZE_NEAREST_NEIGHBOR,
input1Values,
input1Shape,
input2NewShape,
input2Shape,
expectedOutputValues,
expectedOutputShape);
}
TEST_SUITE("ResizeTestsTests")
{
TEST_CASE ("Resize_Biliniar_Float32_Test")
{
ResizeBiliniarFloat32Test();
}
TEST_CASE ("Resize_NearestNeighbour_Float32_Test")
{
ResizeNearestNeighbourFloat32Test();
}
} // TEST_SUITE("ResizeTestsTests")
} // namespace armnnDelegate
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