COMPMID-617 Add validation methods to Kernels

- NEActivationLayer
- NESoftmax
- NEDirectConvolutionLayer
- NENormalizationLayer
- NEPoolingLayer

Change-Id: Ib279f1c1b7f9247679b0d6593aed7393da8fe87b
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/111335
Tested-by: BSG Visual Compute Jenkins server to access repositories on http://mpd-gerrit.cambridge.arm.com <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>

1 files changed, 20 insertions, 0 deletions

diff --git a/arm_compute/runtime/NEON/functions/NEDirectConvolutionLayer.h b/arm_compute/runtime/NEON/functions/NEDirectConvolutionLayer.h
index c731bf278f..6d8ce1f6f4 100644
--- a/arm_compute/runtime/NEON/functions/NEDirectConvolutionLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEDirectConvolutionLayer.h
@@ -68,6 +68,26 @@ public:
      * @param[in]      conv_info Contains padding and stride information described in @ref PadStrideInfo.
      */
     void configure(ITensor *input, const ITensor *weights, const ITensor *bias, ITensor *output, const PadStrideInfo &conv_info);
+    /** Static function to check if given info will lead to a valid configuration of @ref NEDirectConvolutionLayer
+     *
+     * @note: DirectConvolution only works in the following configurations:
+     *    1x1 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = QS8/QS16/F16/F32
+     *    3x3 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = QS8/F16/F32
+     *    5x5 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = F32
+     *
+     * @param[in] input     Input tensor. Data types supported: QS8/QS16/F16/F32.
+     * @param[in] weights   Set of kernels to convolve the input volume.
+     *                      Supported sizes: 1x1, 3x3 and 5x5.
+     *                      The 3rd dimension must be the same as the input's volume 3rd dimension.
+     *                      Data type supported: Same as @p input.
+     * @param[in] bias      Set of biases. Data type supported: Same as @p input.
+     * @param[in] output    Output tensor.
+     *                      The 3rd dimensions must be equal to the 4th dimension of the @p kernels tensor. Data types supported: Same as @p input.
+     * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo.
+     *
+     * @return a status
+     */
+    static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *bias, const ITensorInfo *output, const PadStrideInfo &conv_info);
 
     // Inherited methods overridden:
     void run() override;