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/*
* Copyright (c) 2019 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_CLTRANSPOSECONVLAYERUPSAMPLEKERNEL_H__
#define __ARM_COMPUTE_CLTRANSPOSECONVLAYERUPSAMPLEKERNEL_H__
#include "arm_compute/core/CL/ICLKernel.h"
namespace arm_compute
{
class ICLTensor;
/** Interface for the Upsampling layer kernel for transpose convolution on OpenCL.
*/
class CLTransposeConvLayerUpsampleKernel : public ICLKernel
{
public:
/** Constructor */
CLTransposeConvLayerUpsampleKernel();
/** Prevent instances of this class from being copied (As this class contains pointers) */
CLTransposeConvLayerUpsampleKernel(const CLTransposeConvLayerUpsampleKernel &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
CLTransposeConvLayerUpsampleKernel &
operator=(const CLTransposeConvLayerUpsampleKernel &) = delete;
/** Default Move Constructor. */
CLTransposeConvLayerUpsampleKernel(CLTransposeConvLayerUpsampleKernel &&) = default;
/** Default move assignment operator */
CLTransposeConvLayerUpsampleKernel &operator=(CLTransposeConvLayerUpsampleKernel &&) = default;
/** Default destructor */
~CLTransposeConvLayerUpsampleKernel() = default;
/** Initialise the kernel's input and output.
*
* @param[in] input Source tensor. Data types supported: QASYMM8/F16/F32.
* @param[out] output Destination tensor. Data types supported: same as @p input. All but
* the lowest two dimensions must be the same size as in the input tensor, i.e. scaling is only
* performed within the XY-plane.
* @param[in] inner_border Top and right inner border sizes. These rows and columns will be
* filled with zero.
* @param[in] info Contains padding and stride information described in @ref
* PadStrideInfo.
*/
void configure(const ICLTensor *input, ICLTensor *output, const BorderSize &inner_border,
const PadStrideInfo &info);
/** Static function to check if given info will lead to a valid configuration of @ref
* CLTransposeConvLayerUpsample
*
* @param[in] input Source tensor info. Data types supported: QASYMM8/F16/F32.
* @param[in] output Destination tensor info. Data types supported: same as @p input. All
* but the lowest two dimensions must be the same size as in the input tensor, i.e. scaling is
* only performed within the XY-plane.
* @param[in] inner_border Top and right inner border sizes. These rows and columns will be filled
* with zero.
* @param[in] info Contains padding and stride information described in @ref
* PadStrideInfo.
*
* @return a status
*/
static Status validate(const ITensorInfo *input, const ITensorInfo *output,
const BorderSize &inner_border, const PadStrideInfo &info);
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) override;
private:
const ICLTensor *_input;
ICLTensor *_output;
BorderSize _inner_border;
PadStrideInfo _info;
};
} // namespace arm_compute
#endif /*__ARM_COMPUTE_CLTRANSPOSECONVLAYERUPSAMPLEKERNEL_H__ */
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