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diff --git a/arm_compute/runtime/GLES_COMPUTE/functions/GCBatchNormalizationLayer.h b/arm_compute/runtime/GLES_COMPUTE/functions/GCBatchNormalizationLayer.h
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-/*
- * Copyright (c) 2017-2019 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_GCBATCHNORMALIZATIONLAYER_H
-#define ARM_COMPUTE_GCBATCHNORMALIZATIONLAYER_H
-
-#include "arm_compute/runtime/IFunction.h"
-
-#include "arm_compute/core/GLES_COMPUTE/kernels/GCBatchNormalizationLayerKernel.h"
-#include "arm_compute/core/Types.h"
-
-namespace arm_compute
-{
-class IGCTensor;
-
-/** Basic function to run @ref GCBatchNormalizationLayerKernel and simulate a batch normalization layer.
- *
- * Batch normalization is calculated by:
- * @f[ out_i = \gamma * (\frac{in_i - \mu_{B}}{\sqrt{\sigma^2_{B} + \epsilon}}) + \beta \equiv BN_{\gamma,\beta}(in_i) @f]
- *
- */
-class GCBatchNormalizationLayer : public IFunction
-{
-public:
-    /** Default constructor */
-    GCBatchNormalizationLayer();
-    /** Set the input and output tensors.
-     *
-     * @param[in]  input    Source tensor. 3 lower dimensions represent a single input with dimensions [width, height, FM].
-     *                      The rest are optional and used for representing batches. Data types supported: F16/F32.
-     * @param[out] output   Destination tensor. Output will have the same number of dimensions as input. Data type supported: same as @p input
-     * @param[in]  mean     Mean values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input
-     * @param[in]  var      Variance values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input
-     * @param[in]  beta     Beta values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input
-     * @param[in]  gamma    Gamma values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input
-     * @param[in]  epsilon  Small value to avoid division with zero.
-     * @param[in]  act_info (Optional) Activation layer information in case of a fused activation. Only RELU, BOUNDED_RELU and LU_BOUNDED_RELU supported.
-     */
-    void configure(const IGCTensor *input, IGCTensor *output, const IGCTensor *mean, const IGCTensor *var, const IGCTensor *beta, const IGCTensor *gamma, float epsilon,
-                   ActivationLayerInfo act_info = ActivationLayerInfo());
-
-    // Inherited methods overridden:
-    void run() override;
-
-private:
-    GCBatchNormalizationLayerKernel _norm_kernel; /**< BatchNormalization layer kernel to run */
-};
-}
-#endif /* ARM_COMPUTE_GCBATCHNORMALIZATIONLAYER_H */