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/*
* Copyright (c) 2017-2021 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_DEPTH_CONVERT_FIXTURE
#define ARM_COMPUTE_TEST_DEPTH_CONVERT_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/DepthConvertLayer.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
/* This function ignores the scale and zeroPoint of quanized tensors, i.e. QASYMM8 input is treated as uint8 values.*/
template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2>
class DepthConvertLayerValidationBaseFixture : public framework::Fixture
{
public:
template <typename...>
void setup(TensorShape shape, DataType dt_in, DataType dt_out, ConvertPolicy policy, uint32_t shift, QuantizationInfo quantization_info)
{
_shift = shift;
_quantization_info = quantization_info;
_target = compute_target(shape, dt_in, dt_out, policy, shift);
_reference = compute_reference(shape, dt_in, dt_out, policy, shift);
}
protected:
template <typename U>
void fill(U &&tensor, int i, DataType dt_in, DataType dt_out)
{
if(is_data_type_quantized(tensor.data_type()))
{
std::pair<int, int> bounds = get_quantized_bounds(tensor.quantization_info(), -1.0f, 1.0f);
std::uniform_int_distribution<uint8_t> distribution(bounds.first, bounds.second);
library->fill(tensor, distribution, i);
}
else
{
// When converting S32 to F16, both reference and Neon implementations are + or - infinity outside the F16 range.
if(dt_in == DataType::S32 && dt_out == DataType::F16)
{
std::uniform_int_distribution<int32_t> distribution_s32(-65504, 65504);
library->fill(tensor, distribution_s32, i);
}
else
{
library->fill_tensor_uniform(tensor, i);
}
}
}
TensorType compute_target(const TensorShape &shape, DataType dt_in, DataType dt_out, ConvertPolicy policy, uint32_t shift)
{
// Create tensors
TensorType src = create_tensor<TensorType>(shape, dt_in, 1, _quantization_info);
TensorType dst = create_tensor<TensorType>(shape, dt_out, 1, _quantization_info);
// Create and configure function
FunctionType depth_convert;
depth_convert.configure(&src, &dst, policy, shift);
ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
// Allocate tensors
src.allocator()->allocate();
dst.allocator()->allocate();
ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
// Fill tensors
fill(AccessorType(src), 0, dt_in, dt_out);
// Compute function
depth_convert.run();
return dst;
}
SimpleTensor<T2> compute_reference(const TensorShape &shape, DataType dt_in, DataType dt_out, ConvertPolicy policy, uint32_t shift)
{
// Create reference
SimpleTensor<T1> src{ shape, dt_in, 1, _quantization_info };
// Fill reference
fill(src, 0, dt_in, dt_out);
return reference::depth_convert<T1, T2>(src, dt_out, policy, shift);
}
TensorType _target{};
SimpleTensor<T2> _reference{};
int _shift{};
QuantizationInfo _quantization_info{};
};
template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2>
class DepthConvertLayerValidationFixture : public DepthConvertLayerValidationBaseFixture<TensorType, AccessorType, FunctionType, T1, T2>
{
public:
template <typename...>
void setup(TensorShape shape, DataType dt_in, DataType dt_out, ConvertPolicy policy, uint32_t shift)
{
DepthConvertLayerValidationBaseFixture<TensorType, AccessorType, FunctionType, T1, T2>::setup(shape, dt_in, dt_out, policy,
shift, QuantizationInfo());
}
};
template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2>
class DepthConvertLayerValidationQuantizedFixture : public DepthConvertLayerValidationBaseFixture<TensorType, AccessorType, FunctionType, T1, T2>
{
public:
template <typename...>
void setup(TensorShape shape, DataType dt_in, DataType dt_out, ConvertPolicy policy, uint32_t shift, QuantizationInfo quantization_info)
{
DepthConvertLayerValidationBaseFixture<TensorType, AccessorType, FunctionType, T1, T2>::setup(shape, dt_in, dt_out, policy,
shift, quantization_info);
}
};
} // namespace validation
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_DEPTH_CONVERT_FIXTURE */
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