diff --git a/src/core/CL/kernels/CLIm2ColKernel.h b/src/core/CL/kernels/CLIm2ColKernel.h
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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_CLIM2COLKERNEL_H
+#define ARM_COMPUTE_CLIM2COLKERNEL_H
+
+#include "arm_compute/core/Size2D.h"
+#include "src/core/CL/ICLKernel.h"
+
+namespace arm_compute
+{
+class ICLTensor;
+
+/** 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 CLIm2ColKernel : public ICLKernel
+{
+public:
+    /** Default constructor */
+    CLIm2ColKernel();
+    /** Prevent instances of this class from being copied (As this class contains pointers) */
+    CLIm2ColKernel(const CLIm2ColKernel &) = delete;
+    /** Prevent instances of this class from being copied (As this class contains pointers) */
+    CLIm2ColKernel &operator=(const CLIm2ColKernel &) = delete;
+    /** Allow instances of this class to be moved */
+    CLIm2ColKernel(CLIm2ColKernel &&) = default;
+    /** Allow instances of this class to be moved */
+    CLIm2ColKernel &operator=(CLIm2ColKernel &&) = 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/QASYMM8_SIGNED/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.
+     *                         This is valid only for non-quantized inputs.
+     * @param[in]  dilation    (Optional) Dilation, in elements, across x and y. Defaults to (1, 1).
+     * @param[in]  num_groups  (Optional) Number of groups when performing a grouped convolution.
+     *                         Number of groups other than 1 is only supported for NCHW data layout.
+     *                         Number of groups should be multiple to the number of channels.
+     */
+    void configure(const ICLTensor *input, ICLTensor *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias, const Size2D &dilation = Size2D(1U, 1U),
+                   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. 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/QASYMM8_SIGNED/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).
+     * @param[in]  num_groups      (Optional) Number of groups when performing a grouped convolution. num_groups != 1 is only supported for NCHW data layout
+     */
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias,
+                   const Size2D &dilation   = Size2D(1U, 1U),
+                   unsigned int  num_groups = 1);
+    /** 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: QASYMM8/QASYMM8_SIGNED/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.
+     *                        This is valid only for non-quantized inputs.
+     * @param[in] dilation    (Optional) Dilation, in elements, across x and y. Defaults to (1, 1).
+     * @param[in] num_groups  (Optional) Number of groups when performing a grouped convolution.
+     *                        Number of groups other than 1 is only supported for NCHW data layout.
+     *                        Number of groups should be multiple to the number of channels.
+     *
+     * @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),
+                           unsigned int num_groups = 1);
+
+    // Inherited methods overridden:
+    void run(const Window &window, cl::CommandQueue &queue) override;
+
+public:
+    const ICLTensor *_input;
+    ICLTensor       *_output;
+    DataLayout       _data_layout;
+    std::pair<unsigned int, unsigned int> _convolved_dims;
+    unsigned int  _num_elems_processed_per_iteration;
+    Size2D        _kernel_dims;
+    PadStrideInfo _conv_info;
+    unsigned int  _num_groups;
+};
+} // namespace arm_compute
+#endif /*ARM_COMPUTE_CLIM2COLKERNEL_H */