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diff --git a/arm_compute/core/GLES_COMPUTE/kernels/GCDirectConvolutionLayerKernel.h b/arm_compute/core/GLES_COMPUTE/kernels/GCDirectConvolutionLayerKernel.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_GCDIRECTCONVOLUTIONLAYERKERNEL_H__
+#define __ARM_COMPUTE_GCDIRECTCONVOLUTIONLAYERKERNEL_H__
+
+#include "arm_compute/core/GLES_COMPUTE/IGCKernel.h"
+#include "arm_compute/core/GLES_COMPUTE/OpenGLES.h"
+
+namespace arm_compute
+{
+class IGCTensor;
+
+/** Interface for the direct convolution kernel.
+ */
+template <unsigned int kernel_size>
+class GCDirectConvolutionLayerKernel : public IGCKernel
+{
+public:
+    /** Default constructor */
+    GCDirectConvolutionLayerKernel();
+    /** Prevent instances of this class from being copied (As this class contains pointers) */
+    GCDirectConvolutionLayerKernel(const GCDirectConvolutionLayerKernel &) = delete;
+    /** Prevent instances of this class from being copied (As this class contains pointers) */
+    GCDirectConvolutionLayerKernel &operator=(const GCDirectConvolutionLayerKernel &) = delete;
+    /** Allow instances of this class to be moved */
+    GCDirectConvolutionLayerKernel(GCDirectConvolutionLayerKernel &&) = default;
+    /** Allow instances of this class to be moved */
+    GCDirectConvolutionLayerKernel &operator=(GCDirectConvolutionLayerKernel &&) = default;
+    /** Default destructor */
+    ~GCDirectConvolutionLayerKernel() = 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: 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]  bias      Biases tensor. Shared bias supported. Biases are 1D tensor with dimensions [OFM]. Data type supported:Same as @p input.
+     * @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]  conv_info Contains padding and stride information described in @ref PadStrideInfo.
+     */
+    void configure(const IGCTensor *input, const IGCTensor *weights, const IGCTensor *bias, IGCTensor *output, const PadStrideInfo &conv_info);
+
+    // Inherited methods overridden:
+    BorderSize border_size() const override;
+
+    // Inherited methods overridden:
+    void run(const Window &window) override;
+
+private:
+    const IGCTensor *_input;
+    const IGCTensor *_bias;
+    const IGCTensor *_weights;
+    IGCTensor       *_output;
+    BorderSize       _border_size;
+    int              _conv_stride_x;
+    int              _conv_stride_y;
+    int              _conv_pad_x;
+    int              _conv_pad_y;
+    gles::NDRange    _lws;
+};
+
+using GCDirectConvolutionLayer1x1Kernel = GCDirectConvolutionLayerKernel<1>;
+using GCDirectConvolutionLayer3x3Kernel = GCDirectConvolutionLayerKernel<3>;
+using GCDirectConvolutionLayer5x5Kernel = GCDirectConvolutionLayerKernel<5>;
+}
+#endif /*__ARM_COMPUTE_GCDIRECTCONVOLUTIONLAYERKERNEL_H__ */