COMPMID-718 : Winograd: add validate method and tests

Validate methods added to Winograd kernels and function.
Renamed validation test suit

Change-Id: I0a88df436aff0bbaf4fd82213eeda089b87ac5bf
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/127781
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
diff --git a/arm_compute/runtime/NEON/functions/NEWinogradLayer.h b/arm_compute/runtime/NEON/functions/NEWinogradLayer.h
index 61a4caa..27b1e84 100644
--- a/arm_compute/runtime/NEON/functions/NEWinogradLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEWinogradLayer.h
@@ -57,7 +57,7 @@
      *                       while every optional dimension from 4 and above represent a batch of inputs.
      *                       Data types supported: F32.
      * @param[in]  weights   Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported: Same as @p input.
-     *                       Currently only 3x3 kernels are supported.
+     *                       Currently only 3x3 and 5x5 kernels are supported.
      * @param[in]  biases    Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p weights.
      * @param[out] output    Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs.
      *                       Data types supported: Same as @p input.
@@ -75,15 +75,17 @@
      *                      while every optional dimension from 4 and above represent a batch of inputs.
      *                      Data types supported: F32.
      * @param[in] weights   Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported:Same as @p input.
-     *                      Currently only 3x3 kernels are supported.
+     *                      Currently only 3x3 and 5x5 kernels are supported.
      * @param[in] biases    Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p weights.
      * @param[in] output    Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs.
      *                      Data types supported: Same as @p input.
      * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. Currently only unit strides are supported.
+     * @param[in] act_info  (Optional) Activation layer information in case of a fused activation.
      *
      * @return a status
      */
-    static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info);
+    static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info,
+                           const ActivationLayerInfo &act_info = ActivationLayerInfo());
 
     /** Prevent instances of this class from being copied (As this class contains pointers) */
     NEWinogradLayer(const NEWinogradLayer &) = delete;