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diff --git a/arm_compute/core/NEON/kernels/NEWeightsReshapeKernel.h b/arm_compute/core/NEON/kernels/NEWeightsReshapeKernel.h
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+/*
+ * Copyright (c) 2017 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_NEWEIGHTSRESHAPEKERNEL_H__
+#define __ARM_COMPUTE_NEWEIGHTSRESHAPEKERNEL_H__
+
+#include "arm_compute/core/NEON/INEKernel.h"
+
+namespace arm_compute
+{
+class ITensor;
+
+/** NEON kernel to perform reshaping on the weights used by convolution and locally connected layer
+ *
+ * Rearranges each 3-dimensional kernel to a single row leading to a matrix with linearized kernels.
+ * In combination with the @ref NEIm2ColKernel can transform a convolution to a matrix multiplication.
+ *
+ * For example assuming a 3D weight kernel of 3x3 dimensions and depth of 2 we have:
+ * @f[
+ * \left( \begin{array}{ccc}
+ * a000 & a001 & a002 \\
+ * a010 & a011 & a012 \\
+ * a020 & a021 & a022 \\
+ * \end{array} \right)
+ * \left( \begin{array}{ccc}
+ * a100 & a101 & a102 \\
+ * a110 & a111 & a112 \\
+ * a120 & a121 & a122 \\
+ * \end{array} \right)
+ * \rightarrow
+ * \left( \begin{array}{ccccccccc}
+ * a000 & a001 & a002 & a010 & a011 & a012 & a020 & a021 & a022 & a100 & a101 & a102 & a110 & a111 & a112 & a120 & a121 & a122 \\
+ * \end{array} \right)
+ * @f]
+ */
+class NEWeightsReshapeKernel : public INEKernel
+{
+public:
+    /** Constructor.*/
+    NEWeightsReshapeKernel();
+    /** Prevent instances of this class from being copied (As this class contains pointers) */
+    NEWeightsReshapeKernel(const NEWeightsReshapeKernel &) = delete;
+    /** Prevent instances of this class from being copied (As this class contains pointers) */
+    NEWeightsReshapeKernel &operator=(const NEWeightsReshapeKernel &) = delete;
+    /** Allow instances of this class to be moved */
+    NEWeightsReshapeKernel(NEWeightsReshapeKernel &&) = default;
+    /** Allow instances of this class to be moved */
+    NEWeightsReshapeKernel &operator=(NEWeightsReshapeKernel &&) = default;
+    /** Default destructor */
+    ~NEWeightsReshapeKernel() = default;
+    /** Set the input and output of the kernel.
+     *
+     * @param[in]  input  The input tensor to convert. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM] if shared,
+     *                    and 5D tensor with dimensions [kernel_x, kernel_y, IFM, OFM, num_patches] if unshared. Data types supported: QS8/F32
+     * @param[in]  bias   The shared biases tensor to append.  Bias is 1D tensor with dimensions [OFM] if shared and 2D tensor with
+     *                    dimensions [OFM, num_patches] if unshared. Data types supported: Same as @p input
+     * @param[out] output The output tensor. Data types supported: Same as @p input
+     */
+    void configure(const ITensor *input, const ITensor *bias, ITensor *output);
+
+    // Inherited methods overridden:
+    void run(const Window &window) override;
+
+private:
+    using WeightsReshapeKernel = void(const ITensor *input, const ITensor *bias, ITensor *output, const Window &window);
+
+    WeightsReshapeKernel *_func;
+    const ITensor        *_input;
+    const ITensor        *_bias;
+    ITensor              *_output;
+};
+}
+
+#endif /*__ARM_COMPUTE_NEWEIGHTSRESHAPEKERNEL_H__ */