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+/*
+ * Copyright (c) 2017-2020 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 "src/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/QASYMM8_SIGNED/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);
+ /** Set the input and output of the kernel.
+ *
+ * @param[in] compile_context The compile context to be used.
+ * @param[in] input The input tensor to convert. Data types supported: QASYMM8/QASYMM8_SIGNED/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 CLCompileContext &compile_context, 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/QASYMM8_SIGNED/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 */