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/*
* Copyright (c) 2017 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_TENSOR_FACTORY_H__
#define __ARM_COMPUTE_TEST_TENSOR_FACTORY_H__
#include "arm_compute/core/Error.h"
#include "tests/RawTensor.h"
#include "tests/validation_old/Tensor.h"
#include "tests/validation_old/half.h"
#include "tests/validation_old/boost_wrapper.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
using TensorVariant = boost::variant<Tensor<uint8_t>, Tensor<int8_t>,
Tensor<uint16_t>, Tensor<int16_t>,
Tensor<uint32_t>, Tensor<int32_t>,
Tensor<half_float::half>,
Tensor<float>>;
/** Helper to create a constant type if the passed reference is constant. */
template <typename R, typename T>
struct match_const
{
using type = typename std::conditional<std::is_const<typename std::remove_reference<R>::type>::value, const T, T>::type;
};
class TensorFactory
{
public:
template <typename R>
static TensorVariant get_tensor(R &&raw)
{
TensorVariant v;
DataType dt = raw.data_type();
int fixed_point_position = raw.fixed_point_position();
auto shape = raw.shape();
auto data = raw.data();
switch(dt)
{
case DataType::U8:
using value_type_u8 = typename match_const<R, uint8_t>::type;
v = Tensor<uint8_t>(shape, dt, fixed_point_position, reinterpret_cast<value_type_u8 *>(data));
break;
case DataType::S8:
case DataType::QS8:
using value_type_s8 = typename match_const<R, int8_t>::type;
v = Tensor<int8_t>(shape, dt, fixed_point_position, reinterpret_cast<value_type_s8 *>(data));
break;
case DataType::U16:
using value_type_u16 = typename match_const<R, uint16_t>::type;
v = Tensor<uint16_t>(shape, dt, fixed_point_position, reinterpret_cast<value_type_u16 *>(data));
break;
case DataType::S16:
case DataType::QS16:
using value_type_s16 = typename match_const<R, int16_t>::type;
v = Tensor<int16_t>(shape, dt, fixed_point_position, reinterpret_cast<value_type_s16 *>(data));
break;
case DataType::U32:
using value_type_u32 = typename match_const<R, uint32_t>::type;
v = Tensor<uint32_t>(shape, dt, fixed_point_position, reinterpret_cast<value_type_u32 *>(data));
break;
case DataType::S32:
using value_type_s32 = typename match_const<R, int32_t>::type;
v = Tensor<int32_t>(shape, dt, fixed_point_position, reinterpret_cast<value_type_s32 *>(data));
break;
case DataType::F16:
using value_type_f16 = typename match_const<R, half_float::half>::type;
v = Tensor<half_float::half>(shape, dt, fixed_point_position, reinterpret_cast<value_type_f16 *>(data));
break;
case DataType::F32:
using value_type_f32 = typename match_const<R, float>::type;
v = Tensor<float>(shape, dt, fixed_point_position, reinterpret_cast<value_type_f32 *>(data));
break;
default:
ARM_COMPUTE_ERROR("NOT SUPPORTED!");
}
return v;
}
};
} // namespace validation
} // namespace test
} // namespace arm_compute
#endif /* __ARM_COMPUTE_TEST_TENSOR_FACTORY_H__ */
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