diff --git a/arm_compute/runtime/NEON/functions/NEFuseBatchNormalization.h b/arm_compute/runtime/NEON/functions/NEFuseBatchNormalization.h
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+/*
+ * Copyright (c) 2018 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, INNEUDING 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 NEAIM, 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_NEFUSEBATCHNORMALIZATION_H__
+#define __ARM_COMPUTE_NEFUSEBATCHNORMALIZATION_H__
+
+#include "arm_compute/core/ITensor.h"
+#include "arm_compute/core/NEON/kernels/NEFuseBatchNormalizationKernel.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/IFunction.h"
+
+namespace arm_compute
+{
+// Forward declarations
+class ITensor;
+
+/** Basic function to fuse the batch normalization node to a preceding convolution node */
+class NEFuseBatchNormalization : public IFunction
+{
+public:
+    /** Default constructor */
+    NEFuseBatchNormalization();
+    /** Prevent instances of this class from being copied (As this class contains pointers) */
+    NEFuseBatchNormalization(const NEFuseBatchNormalization &) = delete;
+    /** Prevent instances of this class from being copied (As this class contains pointers) */
+    NEFuseBatchNormalization &operator=(const NEFuseBatchNormalization &) = delete;
+    /** Allow instances of this class to be moved */
+    NEFuseBatchNormalization(NEFuseBatchNormalization &&) = default;
+    /** Allow instances of this class to be moved */
+    NEFuseBatchNormalization &operator=(NEFuseBatchNormalization &&) = default;
+    /** Default destructor */
+    ~NEFuseBatchNormalization() = default;
+    /** Set the input and output tensors.
+     *
+     * @param[in]  conv_weights  Convolution layer weights tensor. Data type supported: F16/F32
+     * @param[in]  bn_mean       Batch normalization layer mean tensor. Same as @p conv_weights
+     * @param[in]  bn_var        Batch normalization layer variance tensor. Same as @p conv_weights
+     * @param[out] fused_weights Output fused weights tensor. Same as @p conv_weights
+     * @param[out] fused_bias    Output fused bias tensor. Same as @p conv_weights
+     * @param[in]  conv_bias     (Optional) Convolution layer bias tensor. Same as @p conv_weights
+     * @param[in]  bn_beta       (Optional) Batch normalization layer beta tensor. Same as @p conv_weights
+     * @param[in]  bn_gamma      (Optional) Batch normalization layer gamma tensor. Same as @p conv_weights
+     * @param[in]  epsilon       (Optional) Batch normalization layer epsilon parameter. Defaults to 0.001f.
+     */
+    void configure(const ITensor *conv_weights, const ITensor *bn_mean, const ITensor *bn_var, ITensor *fused_weights, ITensor *fused_bias,
+                   const ITensor *conv_bias = nullptr, const ITensor *bn_beta = nullptr, const ITensor *bn_gamma = nullptr,
+                   float epsilon = 0.001f);
+    /** Static function to check if given info will lead to a valid configuration of @ref NEFuseBatchNormalization
+     *
+     * @param[in] conv_weights  Convolution layer weights tensor. Data type supported: F16/F32
+     * @param[in] bn_mean       Batch normalization layer mean tensor. Same as @p conv_weights
+     * @param[in] bn_var        Batch normalization layer variance tensor. Same as @p conv_weights
+     * @param[in] fused_weights Output fused weights tensor. Same as @p conv_weights
+     * @param[in] fused_bias    Output fused bias tensor. Same as @p conv_weights
+     * @param[in] conv_bias     (Optional) Convolution layer bias tensor. Same as @p conv_weights
+     * @param[in] bn_beta       (Optional) Batch normalization layer beta tensor. Same as @p conv_weights
+     * @param[in] bn_gamma      (Optional) Batch normalization layer gamma tensor. Same as @p conv_weights
+     * @param[in] epsilon       (Optional) Batch normalization layer epsilon parameter. Defaults to 0.001f.
+     *
+     * @return a status
+     */
+    static Status validate(const ITensorInfo *conv_weights, const ITensorInfo *bn_mean, const ITensorInfo *bn_var,
+                           const ITensorInfo *fused_weights, const ITensorInfo *fused_bias,
+                           const ITensorInfo *conv_bias = nullptr, const ITensorInfo *bn_beta = nullptr, const ITensorInfo *bn_gamma = nullptr,
+                           float epsilon = 0.001f);
+
+    // Inherited methods overridden:
+    void run() override;
+
+private:
+    NEFuseBatchNormalizationKernel _fuse_bn_kernel;
+};
+} // namespace arm_compute
+#endif /*__ARM_COMPUTE_NEFUSEBATCHNORMALIZATION_H__ */