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/*
* Copyright (c) 2022-2023 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_POOLING_3D_LAYER_FIXTURE
#define ARM_COMPUTE_TEST_POOLING_3D_LAYER_FIXTURE
#include "arm_compute/core/TensorShape.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/core/utils/misc/ShapeCalculator.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/Pooling3dLayer.h"
#include <random>
namespace arm_compute
{
namespace test
{
namespace validation
{
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class Pooling3dLayerValidationGenericFixture : public framework::Fixture
{
public:
void setup(TensorShape shape, Pooling3dLayerInfo pool_info, DataType data_type, QuantizationInfo input_qinfo = QuantizationInfo(), QuantizationInfo output_qinfo = QuantizationInfo())
{
_target = compute_target(shape, pool_info, data_type, input_qinfo, output_qinfo);
_reference = compute_reference(shape, pool_info, data_type, input_qinfo, output_qinfo);
}
protected:
template <typename U>
void fill(U &&tensor)
{
if(tensor.data_type() == DataType::F32)
{
std::uniform_real_distribution<float> distribution(-1.0f, 1.0f);
library->fill(tensor, distribution, 0);
}
else if(tensor.data_type() == DataType::F16)
{
arm_compute::utils::uniform_real_distribution_16bit<half> distribution{ -1.0f, 1.0f };
library->fill(tensor, distribution, 0);
}
else // data type is quantized_asymmetric
{
library->fill_tensor_uniform(tensor, 0);
}
}
TensorType compute_target(TensorShape shape, Pooling3dLayerInfo info,
DataType data_type, QuantizationInfo input_qinfo, QuantizationInfo output_qinfo)
{
// Create tensors
TensorType src = create_tensor<TensorType>(shape, data_type, 1, input_qinfo, DataLayout::NDHWC);
const TensorShape dst_shape = misc::shape_calculator::compute_pool3d_shape((src.info()->tensor_shape()), info);
TensorType dst = create_tensor<TensorType>(dst_shape, data_type, 1, output_qinfo, DataLayout::NDHWC);
// Create and configure function
FunctionType pool_layer;
pool_layer.validate(src.info(), dst.info(), info);
pool_layer.configure(&src, &dst, info);
ARM_COMPUTE_ASSERT(src.info()->is_resizable());
ARM_COMPUTE_ASSERT(dst.info()->is_resizable());
// Allocate tensors
src.allocator()->allocate();
dst.allocator()->allocate();
ARM_COMPUTE_ASSERT(!src.info()->is_resizable());
ARM_COMPUTE_ASSERT(!dst.info()->is_resizable());
// Fill tensors
fill(AccessorType(src));
// Compute function
pool_layer.run();
return dst;
}
SimpleTensor<T> compute_reference(TensorShape shape, Pooling3dLayerInfo info, DataType data_type, QuantizationInfo input_qinfo, QuantizationInfo output_qinfo)
{
// Create reference
SimpleTensor<T> src(shape, data_type, 1, input_qinfo, DataLayout::NDHWC);
// Fill reference
fill(src);
return reference::pooling_3d_layer<T>(src, info, output_qinfo);
}
TensorType _target{};
SimpleTensor<T> _reference{};
};
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class Pooling3dLayerValidationFixture : public Pooling3dLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
{
public:
void setup(TensorShape shape, PoolingType pool_type, Size3D pool_size, Size3D stride, Padding3D padding, bool exclude_padding, DataType data_type)
{
Pooling3dLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, Pooling3dLayerInfo(pool_type, pool_size, stride, padding, exclude_padding),
data_type);
}
};
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class Pooling3dLayerValidationQuantizedFixture : public Pooling3dLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
{
public:
void setup(TensorShape shape, PoolingType pool_type, Size3D pool_size, Size3D stride, Padding3D padding, bool exclude_padding, DataType data_type,
QuantizationInfo input_qinfo = QuantizationInfo(), QuantizationInfo output_qinfo = QuantizationInfo())
{
Pooling3dLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, Pooling3dLayerInfo(pool_type, pool_size, stride, padding, exclude_padding),
data_type, input_qinfo, output_qinfo);
}
};
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class Pooling3dLayerGlobalValidationFixture : public Pooling3dLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
{
public:
void setup(TensorShape shape, PoolingType pool_type, DataType data_type)
{
Pooling3dLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, Pooling3dLayerInfo(pool_type), data_type);
}
};
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class SpecialPooling3dLayerValidationFixture : public Pooling3dLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
{
public:
void setup(TensorShape src_shape, Pooling3dLayerInfo pool_info, DataType data_type)
{
Pooling3dLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(src_shape, pool_info, data_type);
}
};
} // namespace validation
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_POOLING_3D_LAYER_FIXTURE */