diff --git a/arm_compute/runtime/CL/functions/CLConvolutionLayer.h b/arm_compute/runtime/CL/functions/CLConvolutionLayer.h
new file mode 100644
index 0000000..6a40396
--- /dev/null
+++ b/arm_compute/runtime/CL/functions/CLConvolutionLayer.h
@@ -0,0 +1,121 @@
+/*
+ * 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_CLCONVOLUTIONLAYER_H__
+#define __ARM_COMPUTE_CLCONVOLUTIONLAYER_H__
+
+#include "arm_compute/runtime/IFunction.h"
+
+#include "arm_compute/core/CL/kernels/CLCol2ImKernel.h"
+#include "arm_compute/core/CL/kernels/CLFillBorderKernel.h"
+#include "arm_compute/core/CL/kernels/CLGEMMInterleave4x4Kernel.h"
+#include "arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyKernel.h"
+#include "arm_compute/core/CL/kernels/CLGEMMTranspose1xWKernel.h"
+#include "arm_compute/core/CL/kernels/CLIm2ColKernel.h"
+#include "arm_compute/core/CL/kernels/CLWeightsReshapeKernel.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/CL/CLTensor.h"
+#include "arm_compute/runtime/CL/CLTensor.h"
+
+namespace arm_compute
+{
+class ICLTensor;
+
+/** Function to reshape and transpose the weights. This function calls the following kernels:
+ * -# @ref CLWeightsReshapeKernel
+ * -# @ref CLGEMMTranspose1xWKernel
+ */
+class CLConvolutionLayerReshapeWeights : public IFunction
+{
+public:
+    /** Constructor */
+    CLConvolutionLayerReshapeWeights();
+    /** Set the input and output tensors.
+     *
+     * @param[in]  weights      Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported: F32.
+     * @param[in]  biases       Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p weights.
+     * @param[out] output       Destination tensor. Data types supported: Same as @p weights.
+     * @param[in]  transpose1xW True if the weights are to undergo a 1xW transposition after reshaping (in case of GEMM operation), false otherwise.
+     *                          Data types supported: Same as @p weights.
+     */
+    void configure(const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, bool transpose1xW);
+    // Inherited methods overridden:
+    void run() override;
+
+private:
+    CLConvolutionLayerWeightsReshapeKernel _weights_reshape_kernel;
+    CLGEMMTranspose1xWKernel               _weights_transposed_kernel;
+    CLTensor                               _weights_reshaped;
+    bool                                   _transpose1xW;
+};
+
+/** Basic function to compute the convolution layer. This function calls the following OpenCL kernels:
+ *
+ * -# @ref CLConvolutionLayerWeightsReshapeKernel (executed only once for each configuration)
+ * -# @ref CLGEMMTranspose1xWKernel               (executed only once for each configuration)
+ * -# @ref CLIm2ColKernel
+ * -# @ref CLGEMMInterleave4x4Kernel
+ * -# @ref CLGEMMMatrixMultiplyKernel
+ * -# @ref CLCol2ImKernel
+ */
+class CLConvolutionLayer : public IFunction
+{
+public:
+    /** Default constructor */
+    CLConvolutionLayer();
+    /** 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: F16, F32.
+     * @param[in]  weights      Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported:Same as @p input.
+     * @param[in]  biases       Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. 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.
+     * @param[in]  weights_info Specifies if the weights tensor has been reshaped with NEWeightsReshapeKernel. If this is not part of the fully connected layer the weights
+     *                          tensor has also been transposed with NEGEMMTranspose1xWKernel. Data type supported: Same as @p input.
+     */
+    void configure(const ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info, const WeightsInfo &weights_info = WeightsInfo());
+
+    // Inherited methods overridden:
+    void run() override;
+
+private:
+    CLConvolutionLayerReshapeWeights _reshape_weights;
+    CLIm2ColKernel                   _input_im2col_kernel;
+    CLGEMMInterleave4x4Kernel        _input_interleave_kernel;
+    CLGEMMMatrixMultiplyKernel       _mm_kernel;
+    CLCol2ImKernel                   _output_col2im_kernel;
+    CLTensor                         _input_im2col_reshaped;
+    CLTensor                         _input_interleaved_reshaped;
+    CLTensor                         _weights_reshaped;
+    CLTensor                         _weights_transposed;
+    CLTensor                         _gemm_output;
+    bool                             _has_bias;
+    bool                             _is_fully_connected_convolution;
+    bool                             _are_weights_reshaped;
+};
+}
+#endif /* __ARM_COMPUTE_CLCONVOLUTIONLAYER_H__ */