diff --git a/arm_compute/runtime/CL/functions/CLLocallyConnectedLayer.h b/arm_compute/runtime/CL/functions/CLLocallyConnectedLayer.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_CLLOCALLYCONNECTEDLAYER_H__
+#define __ARM_COMPUTE_CLLOCALLYCONNECTEDLAYER_H__
+
+#include "arm_compute/runtime/IFunction.h"
+
+#include "arm_compute/core/CL/kernels/CLCol2ImKernel.h"
+#include "arm_compute/core/CL/kernels/CLIm2ColKernel.h"
+#include "arm_compute/core/CL/kernels/CLLocallyConnectedMatrixMultiplyKernel.h"
+#include "arm_compute/core/CL/kernels/CLWeightsReshapeKernel.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/CL/CLTensor.h"
+
+namespace arm_compute
+{
+class ICLTensor;
+
+/** Basic function to compute the locally connected layer. This function calls the following OpenCL kernels:
+ *
+ * -# @ref CLLocallyConnectedLayerWeightsReshapeKernel (executed only once for each configuration)
+ * -# @ref CLIm2ColKernel
+ * -# @ref CLLocallyConnectedMatrixMultiplyKernel
+ * -# @ref CLCol2ImKernel
+ */
+class CLLocallyConnectedLayer : public IFunction
+{
+public:
+    /** Default constructor */
+    CLLocallyConnectedLayer();
+    /** Set the input and output tensors.
+     *
+     * @param[in]  input     Source tensor. 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: F32.
+     * @param[in]  weights   Weights tensor. Weights are 5D tensor with dimensions [kernel_x, kernel_y, IFM, OFM, num_patches]. Data type supported:Same as @p input.
+     * @param[in]  biases    Biases tensor. Shared biases supported. Biases are 2D tensor with dimensions [OFM, num_patches]. Data type supported:Same as @p input.
+     * @param[out] output    Destination 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.
+     * @param[in]  conv_info Contains padding and stride information described in @ref PadStrideInfo.
+     */
+    void configure(const ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info);
+
+    // Inherited methods overridden:
+    void run() override;
+
+private:
+    CLIm2ColKernel                              _input_im2col_kernel;
+    CLLocallyConnectedLayerWeightsReshapeKernel _weights_reshape_kernel;
+    CLLocallyConnectedMatrixMultiplyKernel      _mm_kernel;
+    CLCol2ImKernel                              _output_col2im_kernel;
+    CLTensor                                    _input_im2col_reshaped;
+    CLTensor                                    _weights_reshaped;
+    CLTensor                                    _gemm_output;
+    bool                                        _is_first_run;
+};
+}
+#endif /* __ARM_COMPUTE_CLLOCALLYCONNECTEDLAYER_H__ */