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/*
* Copyright (c) 2020 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 SRC_CORE_HELPERS_AUTOCONFIGURATION_H
#define SRC_CORE_HELPERS_AUTOCONFIGURATION_H
#include "arm_compute/core/ITensorInfo.h"
#include "arm_compute/core/Types.h"
namespace arm_compute
{
/** Auto initialize the tensor info (shape, number of channels and data type) if the current assignment is empty.
*
* @param[in,out] info Tensor info used to check and assign.
* @param[in] shape New shape.
* @param[in] num_channels New number of channels.
* @param[in] data_type New data type
* @param[in] quantization_info (Optional) New quantization info
*
* @return True if the tensor info has been initialized
*/
inline bool auto_init_if_empty(ITensorInfo &info,
const TensorShape &shape,
int num_channels, DataType data_type,
QuantizationInfo quantization_info = QuantizationInfo())
{
if(info.tensor_shape().total_size() == 0)
{
info.set_data_type(data_type);
info.set_num_channels(num_channels);
info.set_tensor_shape(shape);
info.set_quantization_info(quantization_info);
return true;
}
return false;
}
/** Auto initialize the tensor info using another tensor info.
*
* @param info_sink Tensor info used to check and assign
* @param info_source Tensor info used to assign
*
* @return True if the tensor info has been initialized
*/
inline bool auto_init_if_empty(ITensorInfo &info_sink, const ITensorInfo &info_source)
{
if(info_sink.tensor_shape().total_size() == 0)
{
info_sink.set_data_type(info_source.data_type());
info_sink.set_num_channels(info_source.num_channels());
info_sink.set_tensor_shape(info_source.tensor_shape());
info_sink.set_quantization_info(info_source.quantization_info());
info_sink.set_data_layout(info_source.data_layout());
return true;
}
return false;
}
/** Set the shape to the specified value if the current assignment is empty.
*
* @param[in,out] info Tensor info used to check and assign.
* @param[in] shape New shape.
*
* @return True if the shape has been changed.
*/
inline bool set_shape_if_empty(ITensorInfo &info, const TensorShape &shape)
{
if(info.tensor_shape().total_size() == 0)
{
info.set_tensor_shape(shape);
return true;
}
return false;
}
/** Set the format, data type and number of channels to the specified value if
* the current data type is unknown.
*
* @param[in,out] info Tensor info used to check and assign.
* @param[in] format New format.
*
* @return True if the format has been changed.
*/
inline bool set_format_if_unknown(ITensorInfo &info, Format format)
{
if(info.data_type() == DataType::UNKNOWN)
{
info.set_format(format);
return true;
}
return false;
}
/** Set the data type and number of channels to the specified value if
* the current data type is unknown.
*
* @param[in,out] info Tensor info used to check and assign.
* @param[in] data_type New data type.
*
* @return True if the data type has been changed.
*/
inline bool set_data_type_if_unknown(ITensorInfo &info, DataType data_type)
{
if(info.data_type() == DataType::UNKNOWN)
{
info.set_data_type(data_type);
return true;
}
return false;
}
/** Set the data layout to the specified value if
* the current data layout is unknown.
*
* @param[in,out] info Tensor info used to check and assign.
* @param[in] data_layout New data layout.
*
* @return True if the data type has been changed.
*/
inline bool set_data_layout_if_unknown(ITensorInfo &info, DataLayout data_layout)
{
if(info.data_layout() == DataLayout::UNKNOWN)
{
info.set_data_layout(data_layout);
return true;
}
return false;
}
/** Set the quantization info to the specified value if
* the current quantization info is empty and the data type of asymmetric quantized type
*
* @param[in,out] info Tensor info used to check and assign.
* @param[in] quantization_info Quantization info
*
* @return True if the quantization info has been changed.
*/
inline bool set_quantization_info_if_empty(ITensorInfo &info, QuantizationInfo quantization_info)
{
if(info.quantization_info().empty() && (is_data_type_quantized_asymmetric(info.data_type())))
{
info.set_quantization_info(quantization_info);
return true;
}
return false;
}
} // namespace arm_compute
#endif /* SRC_CORE_HELPERS_AUTOCONFIGURATION_H */
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