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/*
* Copyright (c) 2019-2023 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef ARM_COMPUTE_TEST_MEAN_STDDEV_NORMALIZATION_LAYER_FIXTURE
#define ARM_COMPUTE_TEST_MEAN_STDDEV_NORMALIZATION_LAYER_FIXTURE
#include "arm_compute/core/TensorShape.h"
#include "arm_compute/core/Types.h"
#include "tests/AssetsLibrary.h"
#include "tests/Globals.h"
#include "tests/IAccessor.h"
#include "tests/framework/Asserts.h"
#include "tests/framework/Fixture.h"
#include "tests/validation/Helpers.h"
#include "tests/validation/reference/MeanStdDevNormalizationLayer.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class MeanStdDevNormalizationLayerValidationFixture : public framework::Fixture
{
public:
void setup(TensorShape shape, DataType dt, bool in_place, float epsilon = 1e-8)
{
QuantizationInfo qi = QuantizationInfo(0.5f, 10);
_data_type = dt;
_target = compute_target(shape, dt, in_place, epsilon, qi);
_reference = compute_reference(shape, dt, epsilon, qi);
}
protected:
template <typename U>
void fill(U &&tensor)
{
if(is_data_type_float(_data_type))
{
std::uniform_real_distribution<> distribution{ -1.0f, 1.0f };
library->fill(tensor, distribution, 0);
}
else
{
std::uniform_int_distribution<> distribution{ 0, 255 };
library->fill(tensor, distribution, 0);
}
}
TensorType compute_target(TensorShape shape, DataType dt, bool in_place, float epsilon, QuantizationInfo qi)
{
// Create tensors
TensorType src = create_tensor<TensorType>(shape, dt, 1, qi);
TensorType dst = create_tensor<TensorType>(shape, dt, 1, qi);
TensorType *dst_ptr = in_place ? &src : &dst;
// Create and configure function
FunctionType norm;
norm.configure(&src, dst_ptr, epsilon);
ARM_COMPUTE_ASSERT(src.info()->is_resizable());
ARM_COMPUTE_ASSERT(dst.info()->is_resizable());
// Allocate tensors
src.allocator()->allocate();
ARM_COMPUTE_ASSERT(!src.info()->is_resizable());
if(!in_place)
{
dst.allocator()->allocate();
ARM_COMPUTE_ASSERT(!dst.info()->is_resizable());
}
// Fill tensors
fill(AccessorType(src));
// Compute function
norm.run();
if(in_place)
{
return src;
}
else
{
return dst;
}
}
SimpleTensor<T> compute_reference(const TensorShape &shape, DataType dt, float epsilon, QuantizationInfo qi)
{
// Create reference
SimpleTensor<T> ref_src{ shape, dt, 1, qi };
// Fill reference
fill(ref_src);
return reference::mean_std_normalization_layer(ref_src, epsilon);
}
TensorType _target{};
SimpleTensor<T> _reference{};
DataType _data_type{};
};
} // namespace validation
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_MEAN_STDDEV_NORMALIZATION_LAYER_FIXTURE */