COMPMID-3101 Fuse activation with floating point elementwise operation layers in CL

Signed-off-by: Giorgio Arena <giorgio.arena@arm.com>
Change-Id: I1693f8664ba7c0dc8c076bbe7365cef1e667bd25
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/2718
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
diff --git a/arm_compute/runtime/CL/functions/CLPixelWiseMultiplication.h b/arm_compute/runtime/CL/functions/CLPixelWiseMultiplication.h
index 72b1587..a5ab829 100644
--- a/arm_compute/runtime/CL/functions/CLPixelWiseMultiplication.h
+++ b/arm_compute/runtime/CL/functions/CLPixelWiseMultiplication.h
@@ -47,9 +47,10 @@
      *                                 Scale must be positive and its value must be either 1/255 or 1/2^n where n is between 0 and 15.
      * @param[in]      overflow_policy Overflow policy. Supported overflow policies: Wrap, Saturate
      * @param[in]      rounding_policy Rounding policy. Supported rounding modes: to zero, to nearest even.
+     * @param[in]      act_info        (Optional) Activation layer information in case of a fused activation.
      */
     void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, float scale,
-                   ConvertPolicy overflow_policy, RoundingPolicy rounding_policy);
+                   ConvertPolicy overflow_policy, RoundingPolicy rounding_policy, const ActivationLayerInfo &act_info = ActivationLayerInfo());
     /** Static function to check if given info will lead to a valid configuration of @ref CLPixelWiseMultiplication
      *
      * @param[in] input1          An input tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
@@ -59,11 +60,12 @@
      *                            Scale must be positive and its value must be either 1/255 or 1/2^n where n is between 0 and 15.
      * @param[in] overflow_policy Overflow policy. Supported overflow policies: Wrap, Saturate
      * @param[in] rounding_policy Rounding policy. Supported rounding modes: to zero, to nearest even.
+     * @param[in] act_info        (Optional) Activation layer information in case of a fused activation.
      *
      * @return a status
      */
     static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, float scale,
-                           ConvertPolicy overflow_policy, RoundingPolicy rounding_policy);
+                           ConvertPolicy overflow_policy, RoundingPolicy rounding_policy, const ActivationLayerInfo &act_info = ActivationLayerInfo());
 };
 
 /** Basic function to run @ref CLComplexPixelWiseMultiplicationKernel. */
@@ -72,20 +74,22 @@
 public:
     /** Initialise the kernel's inputs, output.
      *
-     * @param[in, out] input1 An input tensor. Data types supported: F32. Number of channels supported: 2.
-     *                        The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
-     * @param[in, out] input2 An input tensor. Data types supported: same as @p input1. Number of channels supported: same as @p input1.
-     *                        The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
-     * @param[out]     output The output tensor, Data types supported: same as @p input1. Number of channels supported: same as @p input1.
+     * @param[in, out] input1   An input tensor. Data types supported: F32. Number of channels supported: 2.
+     *                          The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
+     * @param[in, out] input2   An input tensor. Data types supported: same as @p input1. Number of channels supported: same as @p input1.
+     *                          The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
+     * @param[out]     output   The output tensor, Data types supported: same as @p input1. Number of channels supported: same as @p input1.
+     * @param[in]      act_info (Optional) Activation layer information in case of a fused activation.
      */
-    void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output);
+    void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
     /** Static function to check if given info will lead to a valid configuration of @ref CLComplexPixelWiseMultiplication
      *
-     * @param[in] input1 An input tensor info. Data types supported: F32. Number of channels supported: 2.
-     * @param[in] input2 An input tensor info. Data types supported: same as @p input1. Number of channels supported: same as @p input1.
-     * @param[in] output The output tensor info, Data types supported: same as @p input1. Number of channels supported: same as @p input1.
+     * @param[in] input1   An input tensor info. Data types supported: F32. Number of channels supported: 2.
+     * @param[in] input2   An input tensor info. Data types supported: same as @p input1. Number of channels supported: same as @p input1.
+     * @param[in] output   The output tensor info, Data types supported: same as @p input1. Number of channels supported: same as @p input1.
+     * @param[in] act_info (Optional) Activation layer information in case of a fused activation.
      */
-    static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output);
+    static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
 };
 } // namespace arm_compute
 #endif /*ARM_COMPUTE_CLPIXELWISEMULTIPLICATION_H */