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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_GRAPH_ERROR_H__
#define __ARM_COMPUTE_GRAPH_ERROR_H__
#include "arm_compute/graph/ITensorObject.h"
namespace arm_compute
{
namespace graph
{
/** Evaluate if a tensor object is null. If the condition is true then an error message is printed and an exception thrown
*
* @param[in] function Function in which the error occurred.
* @param[in] file Name of the file where the error occurred.
* @param[in] line Line on which the error occurred.
* @param[in] tensor_object Tensor object to evaluate
* @param[in] tensor_objects (Optional) Further allowed tensor objects.
*/
template <typename... Ts>
void error_on_unallocated_tensor_object(const char *function, const char *file, int line,
const ITensorObject *tensor_object, Ts... tensor_objects)
{
ARM_COMPUTE_UNUSED(function);
ARM_COMPUTE_UNUSED(file);
ARM_COMPUTE_UNUSED(line);
ARM_COMPUTE_UNUSED(tensor_object);
ARM_COMPUTE_ERROR_ON_LOC(tensor_object == nullptr || tensor_object->tensor() == nullptr, function, file, line);
const std::array<const ITensorObject *, sizeof...(Ts)> tensor_objects_array{ { std::forward<Ts>(tensor_objects)... } };
ARM_COMPUTE_UNUSED(tensor_objects_array);
ARM_COMPUTE_ERROR_ON_LOC(std::any_of(tensor_objects_array.begin(), tensor_objects_array.end(), [&](const ITensorObject * tensor_obj)
{
return (tensor_obj == nullptr || tensor_object->tensor() == nullptr);
}),
function, file, line);
}
#define ARM_COMPUTE_ERROR_ON_UNALLOCATED_TENSOR_OBJECT(...) ::arm_compute::graph::error_on_unallocated_tensor_object(__func__, __FILE__, __LINE__, __VA_ARGS__)
} // namespace graph
} // namespace arm_compute
#endif /* __ARM_COMPUTE_GRAPH_ERROR_H__ */
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