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/*
* Copyright (c) 2018-2019 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_CLPADLAYER_H__
#define __ARM_COMPUTE_CLPADLAYER_H__
#include "arm_compute/core/CL/kernels/CLCopyKernel.h"
#include "arm_compute/core/CL/kernels/CLMemsetKernel.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/CL/functions/CLConcatenateLayer.h"
#include "arm_compute/runtime/CL/CLScheduler.h"
#include "arm_compute/runtime/CL/CLTensor.h"
#include "arm_compute/runtime/CL/functions/CLStridedSlice.h"
#include "arm_compute/runtime/IFunction.h"
namespace arm_compute
{
class ICLTensor;
/** Basic function to pad a tensor. This function calls the following OpenCL kernels:
*
* -# @ref CLMemsetKernel
* -# @ref CLFillBorderKernel
* -# @ref CLCopyKernel
*/
class CLPadLayer : public IFunction
{
public:
/** Default constructor*/
CLPadLayer();
/** Initialize the function
*
* @param[in] input Source tensor. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32.
* @param[out] output Output tensor. Data type supported: same as @p input
* @param[in] padding The padding for each spatial dimension of the input tensor. The pair padding[i]
* specifies the front and the end padding in the i-th dimension.
* @param[in] constant_value (Optional) Constant value to be used for the padding.
* @param[in] mode (Optional) Controls whether the padding should be filled with @p constant_value using CONSTANT,
* or reflect the input, either including the border values (SYMMETRIC) or not (REFLECT). Only CONSTANT
* is currently supported.
*/
void configure(ICLTensor *input, ICLTensor *output, const PaddingList &padding, PixelValue constant_value = PixelValue(), PaddingMode mode = PaddingMode::CONSTANT);
/** Static function to check if given info will lead to a valid configuration of @ref CLPadLayer.
*
* @param[in] input Source tensor info. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32.
* @param[in] output Output tensor info. Data type supported: same as @p input
* @param[in] padding The padding for each spatial dimension of the input tensor. The pair padding[i]
* specifies the front and the end padding in the i-th dimension.
* @param[in] constant_value (Optional) Constant value to be used for the padding
* @param[in] mode (Optional) Controls whether the padding should be filled with @p constant_value using CONSTANT,
* or reflect the input, either including the border values (SYMMETRIC) or not (REFLECT). Only CONSTANT
* is currently supported.
*/
static Status validate(const ITensorInfo *input, const ITensorInfo *output, const PaddingList &padding, PixelValue constant_value = PixelValue(), PaddingMode mode = PaddingMode::CONSTANT);
// Inherited methods overridden:
void run() override;
private:
void configure_constant_mode(ICLTensor *input, ICLTensor *output, const PaddingList &padding, const PixelValue constant_value);
void configure_reflect_symmetric_mode(ICLTensor *input, ICLTensor *output);
CLCopyKernel _copy_kernel;
PaddingMode _mode;
PaddingList _padding;
CLMemsetKernel _memset_kernel;
size_t _num_dimensions;
std::unique_ptr<CLStridedSlice[]> _slice_functions;
std::unique_ptr<CLConcatenateLayer[]> _concat_functions;
std::unique_ptr<CLTensor[]> _slice_results;
std::unique_ptr<CLTensor[]> _concat_results;
};
} // namespace arm_compute
#endif /*__ARM_COMPUTE_PADLAYER_H__ */
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