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//
// Copyright © 2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "ReverseV2TestHelper.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 <schema_generated.h>
#include <tensorflow/lite/version.h>
#include <doctest/doctest.h>
namespace armnnDelegate
{
void ReverseV2Float32Test(std::vector<armnn::BackendId>& backends)
{
// Set input data
std::vector<float> inputValues =
{
1.0f, 2.0f, 3.0f,
4.0f, 5.0f, 6.0f,
7.0f, 8.0f, 9.0f,
11.0f, 12.0f, 13.0f,
14.0f, 15.0f, 16.0f,
17.0f, 18.0f, 19.0f,
21.0f, 22.0f, 23.0f,
24.0f, 25.0f, 26.0f,
27.0f, 28.0f, 29.0f
};
// The output data
std::vector<float> expectedOutputValues =
{
3.0f, 2.0f, 1.0f,
6.0f, 5.0f, 4.0f,
9.0f, 8.0f, 7.0f,
13.0f, 12.0f, 11.0f,
16.0f, 15.0f, 14.0f,
19.0f, 18.0f, 17.0f,
23.0f, 22.0f, 21.0f,
26.0f, 25.0f, 24.0f,
29.0f, 28.0f, 27.0f
};
// The axis to reverse
const std::vector<int32_t> axisValues = {2};
// Shapes
const std::vector<int32_t> inputShape = {3, 3, 3};
const std::vector<int32_t> axisShapeDims = {1};
const std::vector<int32_t> expectedOutputShape = {3, 3, 3};
ReverseV2FP32TestImpl(tflite::BuiltinOperator_REVERSE_V2,
backends,
inputValues,
inputShape,
axisValues,
axisShapeDims,
expectedOutputValues,
expectedOutputShape);
}
void ReverseV2NegativeAxisFloat32Test(std::vector<armnn::BackendId>& backends)
{
// Set input data
std::vector<float> inputValues =
{
1.0f, 2.0f, 3.0f,
4.0f, 5.0f, 6.0f,
7.0f, 8.0f, 9.0f,
11.0f, 12.0f, 13.0f,
14.0f, 15.0f, 16.0f,
17.0f, 18.0f, 19.0f,
21.0f, 22.0f, 23.0f,
24.0f, 25.0f, 26.0f,
27.0f, 28.0f, 29.0f
};
// The output data
std::vector<float> expectedOutputValues =
{
7.0f, 8.0f, 9.0f,
4.0f, 5.0f, 6.0f,
1.0f, 2.0f, 3.0f,
17.0f, 18.0f, 19.0f,
14.0f, 15.0f, 16.0f,
11.0f, 12.0f, 13.0f,
27.0f, 28.0f, 29.0f,
24.0f, 25.0f, 26.0f,
21.0f, 22.0f, 23.0f
};
// The axis to reverse
const std::vector<int32_t> axisValues = {-2};
// Shapes
const std::vector<int32_t> inputShape = {3, 3, 3};
const std::vector<int32_t> axisShapeDims = {1};
const std::vector<int32_t> expectedOutputShape = {3, 3, 3};
ReverseV2FP32TestImpl(tflite::BuiltinOperator_REVERSE_V2,
backends,
inputValues,
inputShape,
axisValues,
axisShapeDims,
expectedOutputValues,
expectedOutputShape);
}
TEST_SUITE("ReverseV2Tests_GpuAccTests")
{
TEST_CASE ("ReverseV2_Float32_GpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
ReverseV2Float32Test(backends);
}
TEST_CASE ("ReverseV2_NegativeAxis_Float32_GpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
ReverseV2NegativeAxisFloat32Test(backends);
}
} // TEST_SUITE("ReverseV2Tests_GpuAccTests")
TEST_SUITE("ReverseV2Tests_CpuAccTests")
{
TEST_CASE ("ReverseV2_Float32_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
ReverseV2Float32Test(backends);
}
TEST_CASE ("ReverseV2_NegativeAxis_Float32_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
ReverseV2NegativeAxisFloat32Test(backends);
}
} // TEST_SUITE("ReverseV2Tests_CpuAccTests")
TEST_SUITE("ReverseV2Tests_CpuRefTests")
{
TEST_CASE ("ReverseV2_Float32_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
ReverseV2Float32Test(backends);
}
TEST_CASE ("ReverseV2_NegativeAxis_Float32_CpuRef_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
ReverseV2NegativeAxisFloat32Test(backends);
}
} // TEST_SUITE("ReverseV2Tests_CpuRefTests")
} // namespace armnnDelegate