diff --git a/src/core/CL/kernels/CLL2NormalizeLayerKernel.h b/src/core/CL/kernels/CLL2NormalizeLayerKernel.h
new file mode 100644
index 0000000..edc0585
--- /dev/null
+++ b/src/core/CL/kernels/CLL2NormalizeLayerKernel.h
@@ -0,0 +1,100 @@
+/*
+ * Copyright (c) 2017-2020 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_CLL2NORMALIZELAYERKERNEL_H
+#define ARM_COMPUTE_CLL2NORMALIZELAYERKERNEL_H
+
+#include "arm_compute/core/Types.h"
+#include "src/core/CL/ICLKernel.h"
+
+namespace arm_compute
+{
+class ICLTensor;
+
+/** Interface for performing a L2 normalize on a given axis given the square sum of it in this axis */
+class CLL2NormalizeLayerKernel : public ICLKernel
+{
+public:
+    /** Default constructor */
+    CLL2NormalizeLayerKernel();
+    /** Prevent instances of this class from being copied (As this class contains pointers) */
+    CLL2NormalizeLayerKernel(const CLL2NormalizeLayerKernel &) = delete;
+    /** Prevent instances of this class from being copied (As this class contains pointers) */
+    CLL2NormalizeLayerKernel &operator=(const CLL2NormalizeLayerKernel &) = delete;
+    /** Allow instances of this class to be moved */
+    CLL2NormalizeLayerKernel(CLL2NormalizeLayerKernel &&) = default;
+    /** Allow instances of this class to be moved */
+    CLL2NormalizeLayerKernel &operator=(CLL2NormalizeLayerKernel &&) = default;
+    /** Default destructor */
+    ~CLL2NormalizeLayerKernel() = default;
+
+    /** Set the input and output tensors.
+     *
+     * @param[in]  input   Source tensor. Data types supported: F16/F32. Data layouts supported: NCHW/NHWC.
+     * @param[in]  sum     Sum values tensor. Data types supported: same as @p input.
+     *                     Sum will have the same number of dimensions as input.
+     * @param[out] output  Destination tensor. Data types and data layouts supported: Same as @p input.
+     *                     Output will have the same number of dimensions as input.
+     * @param[in]  axis    Axis along which to reduce. Negative values wrap around. Maximum supported actual reduction axis : 2
+     * @param[in]  epsilon Lower bound value for the normalization.
+     */
+    void configure(const ICLTensor *input, const ICLTensor *sum, ICLTensor *output, int axis, float epsilon);
+    /** Set the input and output tensors.
+     *
+     * @param[in]  compile_context The compile context to be used.
+     * @param[in]  input           Source tensor. Data types supported: F16/F32. Data layouts supported: NCHW/NHWC.
+     * @param[in]  sum             Sum values tensor. Data types supported: same as @p input.
+     *                             Sum will have the same number of dimensions as input.
+     * @param[out] output          Destination tensor. Data types and data layouts supported: Same as @p input.
+     *                             Output will have the same number of dimensions as input.
+     * @param[in]  axis            Axis along which to reduce. Negative values wrap around. Maximum supported actual reduction axis : 2
+     * @param[in]  epsilon         Lower bound value for the normalization.
+     */
+    void configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *sum, ICLTensor *output, int axis, float epsilon);
+
+    /** Static function to check if given info will lead to a valid configuration of @ref CLL2NormalizeLayerKernel.
+     *
+     * @param[in] input   Source tensor info. Data types supported: F16/F32. Data layouts supported: NCHW/NHWC.
+     * @param[in] sum     Sum values tensor info. Data types supported: same as @p input.
+     *                    Sum will have the same number of dimensions as input.
+     * @param[in] output  Destination tensor info. Data types and data layouts supported: Same as @p input.
+     *                    Output will have the same number of dimensions as input.
+     * @param[in] axis    Axis along which to reduce. Negative values wrap around. Maximum supported actual reduction axis : 2
+     * @param[in] epsilon Lower bound value for the normalization.
+     *
+     * @return a status
+     */
+    static Status validate(const ITensorInfo *input, const ITensorInfo *sum, const ITensorInfo *output, int axis, float epsilon);
+
+    // Inherited methods overridden:
+    void run(const Window &window, cl::CommandQueue &queue) override;
+
+private:
+    const ICLTensor *_input;
+    const ICLTensor *_sum;
+    ICLTensor       *_output;
+    unsigned int     _actual_axis;
+    float            _epsilon;
+};
+} // namespace arm_compute
+#endif /*ARM_COMPUTE_CLL2NORMALIZELAYERKERNEL_H */