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/*
* Copyright (c) 2018-2020 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 ARM_COMPUTE_CLWIDTHCONCATENATE_4TENSORS_KERNEL_H
#define ARM_COMPUTE_CLWIDTHCONCATENATE_4TENSORS_KERNEL_H
#include "arm_compute/core/CL/ICLKernel.h"
#include "arm_compute/core/Types.h"
namespace arm_compute
{
/** Interface for the width concatenate kernel of 4 tensors.
* All input tensors will be concatenated into the output tensor.
*/
class CLWidthConcatenate4TensorsKernel : public ICLKernel
{
public:
/** Default constructor */
CLWidthConcatenate4TensorsKernel();
/** Prevent instances of this class from being copied (As this class contains pointers) */
CLWidthConcatenate4TensorsKernel(const CLWidthConcatenate4TensorsKernel &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
CLWidthConcatenate4TensorsKernel &operator=(const CLWidthConcatenate4TensorsKernel &) = delete;
/** Allow instances of this class to be moved */
CLWidthConcatenate4TensorsKernel(CLWidthConcatenate4TensorsKernel &&) = default;
/** Allow instances of this class to be moved */
CLWidthConcatenate4TensorsKernel &operator=(CLWidthConcatenate4TensorsKernel &&) = default;
/** Default destructor */
~CLWidthConcatenate4TensorsKernel() = default;
/** Initialise the kernel's input1s and output
*
* @param[in] compile_context The compile context to be used.
* @param[in] input1 First input tensor. Data types supported: All.
* @param[in] input2 Second input tensor. Data types supported: same as @p input1
* @param[in] input3 Third input tensor. Data types supported: same as @p input1
* @param[in] input4 Fourth input tensor. Data types supported: same as @p input1
* @param[out] output Output tensor. Data types supported: Same as @p input1.
*/
void configure(const CLCompileContext &compile_context, ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *input3, ITensorInfo *input4, ITensorInfo *output);
/** Static function to check if given info will lead to a valid configuration of @ref CLWidthConcatenate4TensorsKernel
*
* @param[in] input1 First tensor info. Data types supported: All.
* @param[in] input2 Second tensor info. Data types supported: same as @p input1
* @param[in] input3 Third tensor info. Data types supported: same as @p input1
* @param[in] input4 Fourth tensor info. Data types supported: same as @p input1
* @param[in] output Output tensor info. Data types supported: Same as @p input1.
*
* @return a status
*/
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *input3, const ITensorInfo *input4, const ITensorInfo *output);
// Inherited methods overridden:
void run_op(const InputTensorMap &inputs, const OutputTensorMap &outputs,
const Window &window, cl::CommandQueue &queue) override;
};
} // namespace arm_compute
#endif /* ARM_COMPUTE_CLWIDTHCONCATENATE_4TENSORS_KERNEL_H */
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