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/*
* Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
* Copyright (c) 2016-2018 ARM Limited.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef __ARM_COMPUTE_CLPADLAYEREX_H__
#define __ARM_COMPUTE_CLPADLAYEREX_H__
#include "arm_compute/runtime/CL/ICLSimpleFunction.h"
namespace arm_compute
{
class ICLTensor;
/** Basic function to run @ref CLPadLayerKernel
*
* @note The tensor data type for the inputs must be U8/QASYMM8/S16/S32/F16/F32.
* @note The function converts the input tensor to the tensor of the output tensor's type.
*/
class CLPadLayerEx : public ICLSimpleFunction
{
public:
/** Initialise the kernel's input and output.
*
* @param[in] input Input tensor. Data types supported:
* U8/QASYMM8/S16/S32/F16/F32.
* @param[out] output Output tensor. Data types supported:
* U8/QASYMM8/S16/S32/F16/F32.
* @param[in] pad_size Tensor for Padding values in NHWC format shape [n, 2],
* where n is the rank of tensor . Data types supported: S32
*/
void configure(ICLTensor *input, ICLTensor *output, ICLTensor *pad_size);
};
} // namespace arm_compute
#endif /* __ARM_COMPUTE_CLPADLAYEREX_H__ */
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