COMPMID-3280: Make all ML primitives for CL use the new interface - Part 2

- CLFunctions have been updated

Change-Id: Ie3256a6c775bc12f3126482bd8e8a46da54b267c
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3053
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
diff --git a/arm_compute/runtime/CL/functions/CLYOLOLayer.h b/arm_compute/runtime/CL/functions/CLYOLOLayer.h
index 95c684b..e70d84b 100644
--- a/arm_compute/runtime/CL/functions/CLYOLOLayer.h
+++ b/arm_compute/runtime/CL/functions/CLYOLOLayer.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2019 ARM Limited.
+ * Copyright (c) 2018-2020 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -53,6 +53,18 @@
      * @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);
+    /** 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]      compile_context The compile context to be used.
+     * @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(const CLCompileContext &compile_context, 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