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/*
* Copyright (c) 2019 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_INSTANCENORMALIZATION_FIXTURE
#define ARM_COMPUTE_TEST_INSTANCENORMALIZATION_FIXTURE
#include "arm_compute/core/TensorShape.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/Tensor.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/reference/InstanceNormalizationLayer.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class InstanceNormalizationLayerValidationFixture : public framework::Fixture
{
public:
template <typename...>
void setup(TensorShape shape, DataType data_type, DataLayout data_layout, bool in_place)
{
_target = compute_target(shape, data_type, data_layout, in_place);
_reference = compute_reference(shape, data_type);
}
protected:
template <typename U>
void fill(U &&tensor)
{
std::uniform_real_distribution<> distribution(1.f, 2.f);
library->fill(tensor, distribution, 0);
}
TensorType compute_target(TensorShape shape, DataType data_type, DataLayout data_layout, bool in_place)
{
if(data_layout == DataLayout::NHWC)
{
permute(shape, PermutationVector(2U, 0U, 1U));
}
std::mt19937 gen(library->seed());
std::uniform_real_distribution<float> dist_gamma(1.f, 2.f);
std::uniform_real_distribution<float> dist_beta(-2.f, 2.f);
std::uniform_real_distribution<float> dist_epsilon(1e-16f, 1e-12f);
const float gamma = dist_gamma(gen);
const float beta = dist_beta(gen);
const float epsilon = dist_epsilon(gen);
// Create tensors
TensorType src = create_tensor<TensorType>(shape, data_type, 1, QuantizationInfo(), data_layout);
TensorType dst = create_tensor<TensorType>(shape, data_type, 1, QuantizationInfo(), data_layout);
// Create and configure function
FunctionType instance_norm_func;
instance_norm_func.configure(&src, in_place ? nullptr : &dst, gamma, beta, epsilon);
ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
if(!in_place)
{
ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
}
// Allocate tensors
src.allocator()->allocate();
if(!in_place)
{
dst.allocator()->allocate();
}
ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
if(!in_place)
{
ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
}
// Fill tensors
fill(AccessorType(src));
// Compute function
instance_norm_func.run();
if(in_place)
{
return src;
}
else
{
return dst;
}
}
SimpleTensor<T> compute_reference(const TensorShape &shape, DataType data_type)
{
std::mt19937 gen(library->seed());
std::uniform_real_distribution<float> dist_gamma(1.f, 2.f);
std::uniform_real_distribution<float> dist_beta(-2.f, 2.f);
std::uniform_real_distribution<float> dist_epsilon(1e-16f, 1e-12f);
const float gamma = dist_gamma(gen);
const float beta = dist_beta(gen);
const float epsilon = dist_epsilon(gen);
// Create reference
SimpleTensor<T> src{ shape, data_type };
// Fill reference
fill(src);
return reference::instance_normalization<T>(src, gamma, beta, epsilon);
}
TensorType _target{};
SimpleTensor<T> _reference{};
};
} // namespace validation
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_INSTANCENORMALIZATION_FIXTURE */
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