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-/*
- * Copyright (c) 2017-2019 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_CLDEPTHWISEIM2COLKERNEL_H__
-#define __ARM_COMPUTE_CLDEPTHWISEIM2COLKERNEL_H__
-
-#include "arm_compute/core/CL/ICLKernel.h"
-#include "arm_compute/core/Size2D.h"
-
-namespace arm_compute
-{
-class ICLTensor;
-
-/** Interface for the depthwise im2col reshape kernel.
- * This kernel reshape the input low 3 dimensions to a new 3D shape where the output's first dimension is
- * the linear patch size (FILTER_WIDTH * FILTER_HEIGHT) and second dimension is number of patches per image and third dimension unchanged .
- **/
-class CLDepthwiseIm2ColKernel : public ICLKernel
-{
-public:
- /** Default constructor */
- CLDepthwiseIm2ColKernel();
- /** Prevent instances of this class from being copied (As this class contains pointers) */
- CLDepthwiseIm2ColKernel(const CLDepthwiseIm2ColKernel &) = delete;
- /** Prevent instances of this class from being copied (As this class contains pointers) */
- CLDepthwiseIm2ColKernel &operator=(const CLDepthwiseIm2ColKernel &) = delete;
- /** Allow instances of this class to be moved */
- CLDepthwiseIm2ColKernel(CLDepthwiseIm2ColKernel &&) = default;
- /** Allow instances of this class to be moved */
- CLDepthwiseIm2ColKernel &operator=(CLDepthwiseIm2ColKernel &&) = default;
- /** Set the input and output of the kernel.
- *
- * @param[in] input The input tensor to convert. 3 lower dimensions represent a single input [width, height, IFM],
- * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QASYMM8/F16/F32
- * @param[out] output The output tensor. First 3 lower dimensions represent a transform of each 3D input,
- * while every dimension above 3 represents a batch. Data types supported: Same as @p input
- * @param[in] kernel_dims The kernel dimensions (width and height).
- * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo.
- * @param[in] has_bias Boolean that specifies if the depthwise convolution has bias.
- * @param[in] depth_multiplier (Optional) Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1.
- * @param[in] dilation (Optional) Dilation, in elements, across x and y. Defaults to (1, 1).
- */
- void configure(const ICLTensor *input, ICLTensor *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias = false, unsigned int depth_multiplier = 1,
- const Size2D &dilation = Size2D(1U, 1U));
- /** Static function to check if given info will lead to a valid configuration of @ref CLDepthwiseIm2ColKernel
- *
- * @param[in] input The input tensor info to convert. 3 lower dimensions represent a single input [width, height, IFM],
- * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QASYMM8/F32
- * @param[in] output The output tensor info. First 3 lower dimensions represent a transform of each 3D input,
- * while every dimension above 3 represents a batch. Data types supported: Same as @p input
- * @param[in] kernel_dims The kernel dimensions (width and height).
- * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo.
- * @param[in] has_bias Boolean that specifies if the depthwise convolution has bias.
- * @param[in] depth_multiplier Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1.
- * @param[in] dilation (Optional) Dilation, in elements, across x and y. Defaults to (1, 1).
- *
- * @return a status
- */
- static Status validate(const ITensorInfo *input, const ITensorInfo *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias, unsigned int depth_multiplier,
- const Size2D &dilation = Size2D(1U, 1U));
-
- // Inherited methods overridden:
- void run(const Window &window, cl::CommandQueue &queue) override;
-
-private:
- const ICLTensor *_input;
- ICLTensor *_output;
-};
-} // arm_compute
-#endif /*__ARM_COMPUTE_CLDEPTHWISEIM2COLKERNEL_H__ */