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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_GCIM2COLKERNEL_H
-#define ARM_COMPUTE_GCIM2COLKERNEL_H
-
-#include "arm_compute/core/GLES_COMPUTE/IGCKernel.h"
-
-namespace arm_compute
-{
-class IGCTensor;
-class Size2D;
-
-/** Interface for the im2col reshape kernel.
- *
- * Rearranges image blocks into columns. It is used to strip out each convolution block to a single column.
- * It is used to transform a convolution to a plain matrix multiplication.
- *
- * For example taking into account the image below and assuming 3x3 image blocks with stride of 1 we have:
- * @f[
- * \left( \begin{array}{cccc}
- * a00 & a01 & a02 & a03 \\
- * a10 & a11 & a12 & a13 \\
- * a20 & a21 & a22 & a23 \\
- * a30 & a31 & a32 & a33 \\
- * \end{array} \right)
- * =
- * \left( \begin{array}{ccccccccc}
- * a00 & a01 & a02 & a10 & a11 & a12 & a20 & a21 & a22 \\
- * a01 & a02 & a03 & a11 & a12 & a13 & a21 & a22 & a23 \\
- * a10 & a11 & a12 & a20 & a21 & a22 & a30 & a31 & a32 \\
- * a11 & a12 & a13 & a21 & a22 & a23 & a31 & a32 & a33 \\
- * \end{array} \right)
- * @f]
- */
-class GCIm2ColKernel : public IGCKernel
-{
-public:
- /** Default constructor */
- GCIm2ColKernel();
- /** Prevent instances of this class from being copied (As this class contains pointers) */
- GCIm2ColKernel(const GCIm2ColKernel &) = delete;
- /** Prevent instances of this class from being copied (As this class contains pointers) */
- GCIm2ColKernel &operator=(const GCIm2ColKernel &) = delete;
- /** Allow instances of this class to be moved */
- GCIm2ColKernel(GCIm2ColKernel &&) = default;
- /** Allow instances of this class to be moved */
- GCIm2ColKernel &operator=(GCIm2ColKernel &&) = 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: F16/F32
- * @param[out] output The output tensor. First 2 lower dimensions represent a transform of each 3D input,
- * while every dimension above 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 In case biases are provided expands the matrix with 1.
- * @param[in] dilation (Optional) Dilation, in elements, across x and y. Defaults to (1, 1).
- */
- void configure(const IGCTensor *input, IGCTensor *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias, const Size2D &dilation = Size2D(1U, 1U));
-
- // Inherited methods overridden:
- void run(const Window &window) override;
-
- /** Static function to check if given info will lead to a valid configuration of @ref CLIm2ColKernel
- *
- * @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: F16/F32
- * @param[in] output The output tensor. First 2 lower dimensions represent a transform of each 3D input,
- * while every dimension above 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 In case biases are provided expands the matrix with 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, const Size2D &dilation = Size2D(1U, 1U));
-
-private:
- /** Run the reshape kernel optimised for the special case (stride is 1, padding is 0 and kernel's low 3 dimensions are same as input)
- *
- * @param[in] window Region on which to execute the kernel. (Must be a valid region of the window returned by window()).
- * @param[in,out] queue Command queue on which to enqueue the kernel.
- */
- void run_reduced(const Window &window);
- /** run the generic convolution layer input reshape kernel
- *
- * @param[in] window Region on which to execute the kernel. (Must be a valid region of the window returned by window()).
- * @param[in,out] queue Command queue on which to enqueue the kernel.
- */
- void run_generic(const Window &window);
-
- /** Common signature for the kernel to run */
- using Im2ColFunction = void (GCIm2ColKernel::*)(const Window &);
-
-private:
- const IGCTensor *_input;
- IGCTensor *_output;
- std::pair<unsigned int, unsigned int> _convolved_dims;
- std::pair<unsigned int, unsigned int> _kernel_dims;
- unsigned int _num_elems_processed_per_iteration;
- Im2ColFunction _run_func;
-};
-}
-
-#endif /*ARM_COMPUTE_GCIM2COLKERNEL_H */