/* * 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_CLCOL2IMKERNEL_H #define ARM_COMPUTE_CLCOL2IMKERNEL_H #include "arm_compute/core/CL/ICLKernel.h" namespace arm_compute { class ICLTensor; /** Interface for the col2im reshaping kernel. * * Rearranges each matrix column into image blocks. It's the inverse operation of @ref CLIm2ColKernel. * * For example, a vector of 9 elements can be reshaped to a block(image) of 3x3: * * @f[ * \left( \begin{array}{ccccccccc} * a0 & a1 & a2 & a3 & a4 & a5 & a6 & a7 & a8 \\ * \end{array} \right) * \rightarrow * \left( \begin{array}{ccc} * a0 & a1 & a2 \\ * a3 & a4 & a5 \\ * a6 & a7 & a8 \\ * \end{array} \right) * @f] */ class CLCol2ImKernel : public ICLKernel { public: /** Default constructor */ CLCol2ImKernel(); /** Prevent instances of this class from being copied (As this class contains pointers) */ CLCol2ImKernel(const CLCol2ImKernel &) = delete; /** Prevent instances of this class from being copied (As this class contains pointers) */ CLCol2ImKernel &operator=(const CLCol2ImKernel &) = delete; /** Allow instances of this class to be moved */ CLCol2ImKernel(CLCol2ImKernel &&) = default; /** Allow instances of this class to be moved */ CLCol2ImKernel &operator=(CLCol2ImKernel &&) = default; /** Default destructor */ ~CLCol2ImKernel() = default; /** Set the input and output of the kernel. * * @param[in] input The input tensor to convert. Data types supported: QASYMM8/F16/F32 * @param[out] output The output tensor. 3 lower dimensions represent a single output [width, height, OFM], * while the rest represent batch of outputs. Data types supported: Same as @p input. Data layout: NCHW * @param[in] convolved_dims Output convolved dimensions. * @param[in] num_groups (Optional) Number of groups when performing a grouped convolution */ void configure(const ICLTensor *input, ICLTensor *output, const Size2D &convolved_dims, unsigned int num_groups = 1); /** Static function to check if given info will lead to a valid configuration of @ref CLCol2ImKernel * * @param[in] input The input tensor to convert. Data types supported: QASYMM8/F16/F32 * @param[in] output The output tensor. 3 lower dimensions represent a single output [width, height, OFM], * while the rest represent batch of outputs. Data types supported: Same as @p input. Data layout: NCHW * @param[in] convolved_dims Output convolved dimensions. * @param[in] num_groups (Optional) Number of groups when performing a grouped convolution * * @return a status */ static Status validate(const ITensorInfo *input, const ITensorInfo *output, const Size2D &convolved_dims, unsigned int num_groups = 1); // Inherited methods overridden: void run(const Window &window, cl::CommandQueue &queue) override; public: const ICLTensor *_input; ICLTensor *_output; Size2D _convolved_dims; }; } // namespace arm_compute #endif /*ARM_COMPUTE_CLCOL2IMKERNEL_H */