diff --git a/arm_compute/runtime/CL/functions/CLYOLOLayer.h b/arm_compute/runtime/CL/functions/CLYOLOLayer.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, 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_CLYOLOLAYER_H__
+#define __ARM_COMPUTE_CLYOLOLAYER_H__
+
+#include "arm_compute/runtime/CL/ICLSimpleFunction.h"
+
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+class ICLTensor;
+
+/** Basic function to run @ref CLYOLOLayerKernel that performs a partial activation on the input
+ *
+ *  For each box, activate only:
+ *    - x and y position (channel 0 and 1 of each box)
+ *    - objectiveness    (channel 4 of each box)
+ *    - classes          (channel 5 to (classes - 5) of each box)
+ */
+class CLYOLOLayer : public ICLSimpleFunction
+{
+public:
+    /** Set the input and output tensor.
+     *
+     * @note If the output tensor is a nullptr or is equal to the input, the activation function will be performed in-place
+     *
+     * @param[in, out] input       Source tensor. In case of @p output tensor = nullptr, this tensor will store the result
+     *                             of the activation function. Data types supported: F16/F32.
+     * @param[out]     output      Destination tensor. Data type supported: same as @p input
+     * @param[in]      act_info    Activation layer parameters.
+     * @param[in]      num_classes Number of classes to activate (must be submultiple of @p input channels)
+     */
+    void configure(ICLTensor *input, ICLTensor *output, const ActivationLayerInfo &act_info, int32_t num_classes);
+    /** Static function to check if given info will lead to a valid configuration of @ref CLYOLOLayer
+     *
+     * @param[in] input       Source tensor info. In case of @p output tensor info = nullptr, this tensor will store the result
+     *                        of the activation function. Data types supported: F16/F32.
+     * @param[in] output      Destination tensor info. Data type supported: same as @p input
+     * @param[in] act_info    Activation layer information.
+     * @param[in] num_classes Number of classes to activate (must be submultiple of @p input channels)
+     *
+     * @return a status
+     */
+    static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info, int32_t num_classes);
+};
+} // namespace arm_compute
+#endif /* __ARM_COMPUTE_CLYOLOLAYER_H__ */