diff --git a/arm_compute/core/NEON/kernels/NEWinogradLayerKernel.h b/arm_compute/core/NEON/kernels/NEWinogradLayerKernel.h
index 69d8cc6..7284f9f 100644
--- a/arm_compute/core/NEON/kernels/NEWinogradLayerKernel.h
+++ b/arm_compute/core/NEON/kernels/NEWinogradLayerKernel.h
@@ -154,14 +154,13 @@
 
     /** Static function to check if given info will lead to a valid configuration of @ref NEWinogradLayerTransformInputKernel
      *
-     * @param[in] input       First tensor input info. Data types supported: F32.
-     * @param[in] output      Output tensor info. 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] kernel_dims Kernel dimensions. Currently only 3x3 and 5x5 kernels are supported
+     * @param[in] input         First tensor input info. Data types supported: F32.
+     * @param[in] output        Output tensor info. Data types supported: same as @p input.
+     * @param[in] winograd_info Contains Winograd's information described in @ref WinogradInfo
      *
      * @return a status
      */
-    static Status validate(const ITensorInfo *input, const ITensorInfo *output, const PadStrideInfo &conv_info, const Size2D &kernel_dims);
+    static Status validate(const ITensorInfo *input, const ITensorInfo *output, const WinogradInfo &winograd_info);
 
 private:
     using InputTransform = typename WinogradBase::template InputTransform<T>;
@@ -314,16 +313,14 @@
 
     /** Static function to check if given info will lead to a valid configuration of @ref NEWinogradLayerTransformOutputKernel
      *
-     * @param[in]  input                 Source tensor with shape [C, N, 16, batches] or [C, N, 36, batches]. Data types supported: F32.
-     * @param[in]  bias                  Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. It can be a nullptr. Data type supported: as @p input
-     * @param[out] output                Destination tensor with shape [output_convolved_dims.width, output_convolved_dims.height, C, batches]. Data type supported: same as @p input
-     * @param[in]  kernel_dims           Kernel dimensions (Width and height). Currently only supported 3x3 and 5x5 kernels
-     * @param[in]  output_convolved_dims Output dimensions after the convolution (Width and height)
-     * @param[in]  num_tiles             Number of tiles of size 2x2 or 4x4 in the output tensor along the X and Y direction
+     * @param[in]  input         Source tensor with shape [C, N, 16, batches] or [C, N, 36, batches]. Data types supported: F32.
+     * @param[in]  bias          Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. It can be a nullptr. Data type supported: as @p input
+     * @param[out] output        Destination tensor with shape [output_convolved_dims.width, output_convolved_dims.height, C, batches]. Data type supported: same as @p input
+     * @param[in]  winograd_info Contains Winograd's information described in @ref WinogradInfo
      *
      * @return a status
      */
-    static Status validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, const Size2D &kernel_dims, const Size2D &output_convolved_dims, const Size2D &num_tiles);
+    static Status validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, const WinogradInfo &winograd_info);
 
 private:
     using WinogradBase    = winograd::WinogradGEMM<OutputTileRows, OutputTileCols, KernelRows, KernelCols>;
@@ -392,14 +389,14 @@
 
     /** Static function to check if given info will lead to a valid configuration of @ref NEWinogradLayerTransformWeightsKernel
      *
-     * @param[in] input       Source tensor info. The input is a 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM] (NCHW data layout).
-     *                        kernel_x must be 3 and equal to kernel_y. Data types supported: F32.
-     * @param[in] output      Destination tensor info. The output is a 3D tensor with dimensions [OFM, IFM, 16] or [OFM, IFM, 36]. Data type supported: same as @p input
-     * @param[in] output_tile Output tile. Currently only 2x2 and 4x4 tiles are supported.
+     * @param[in] input         Source tensor info. The input is a 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM] (NCHW data layout).
+     *                          kernel_x must be 3 and equal to kernel_y. Data types supported: F32.
+     * @param[in] output        Destination tensor info. The output is a 3D tensor with dimensions [OFM, IFM, 16] or [OFM, IFM, 36]. Data type supported: same as @p input
+     * @param[in] winograd_info Contains Winograd's information described in @ref WinogradInfo
      *
      * @return a status
      */
-    static Status validate(const ITensorInfo *input, const ITensorInfo *output, const Size2D &output_tile);
+    static Status validate(const ITensorInfo *input, const ITensorInfo *output, const WinogradInfo &winograd_info);
 
     // Inherited methods overridden:
     void configure(const ITensor *weights_hwio, T *const output, const int matrix_stride, const int n_output_channels, const int n_input_channels) override;