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/*
* Copyright (c) 2018 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_CLWINOGRADOUTPUTTRANSFORMKERNEL_H__
#define __ARM_COMPUTE_CLWINOGRADOUTPUTTRANSFORMKERNEL_H__
#include "arm_compute/core/CL/ICLKernel.h"
namespace arm_compute
{
class ICLTensor;
/** Interface for the Winograd output transform kernel. */
class CLWinogradOutputTransformKernel : public ICLKernel
{
public:
/** Default constructor */
CLWinogradOutputTransformKernel();
/** Prevent instances of this class from being copied (As this class contains pointers) */
CLWinogradOutputTransformKernel(const CLWinogradOutputTransformKernel &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
CLWinogradOutputTransformKernel &operator=(const CLWinogradOutputTransformKernel &) = delete;
/** Allow instances of this class to be moved */
CLWinogradOutputTransformKernel(CLWinogradOutputTransformKernel &&) = default;
/** Allow instances of this class to be moved */
CLWinogradOutputTransformKernel &operator=(CLWinogradOutputTransformKernel &&) = default;
/** Default destructor */
~CLWinogradOutputTransformKernel() = default;
/** Set the input and output tensor.
*
* @param[in] input Source tensor with shape [C, N, 16, batches]. Data types supported: F32.
* @param[in] bias Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. It can be a nullptr. Data type supported: as @p input
* @param[out] output Destination tensor with shape [output_convolved_dims.width, output_convolved_dims.height, C, batches]. Data type supported: same as @p input
* @param[in] kernel_dims Kernel dimensions (Width and height). Currently only supported 3x3 kernels
* @param[in] output_convolved_dims Output dimensions after the convolution (Width and height)
* @param[in] num_tiles Number of tiles of size 2x2 in the output tensor along the X and Y direction
*/
void configure(const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, const Size2D &kernel_dims, const Size2D &output_convolved_dims, const Size2D &num_tiles);
/** Static function to check if given info will lead to a valid configuration of @ref CLWinogradOutputTransformKernel
*
* @param[in] input Source tensor with shape [C, N, 16, batches]. Data types supported: F32.
* @param[in] bias Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. It can be a nullptr. Data type supported: as @p input
* @param[out] output Destination tensor with shape [output_convolved_dims.width, output_convolved_dims.height, C, batches]. Data type supported: same as @p input
* @param[in] kernel_dims Kernel dimensions (Width and height). Currently only supported 3x3 kernels
* @param[in] output_convolved_dims Output dimensions after the convolution (Width and height)
* @param[in] num_tiles Number of tiles of size 2x2 in the output tensor along the X and Y direction
*
* @return a status
*/
static Status validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, const Size2D &kernel_dims, const Size2D &output_convolved_dims, const Size2D &num_tiles);
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) override;
private:
const ICLTensor *_input;
const ICLTensor *_bias;
ICLTensor *_output;
};
} // namespace arm_compute
#endif /*__ARM_COMPUTE_CLWINOGRADOUTPUTTRANSFORMKERNEL_H__ */
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