COMPMID-617: Add validate support for NEON BatchNormalizationLayer.

Change-Id: I037ec6df7eee06bdd1381e908677803426fa614c
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/110788
Tested-by: BSG Visual Compute Jenkins server to access repositories on http://mpd-gerrit.cambridge.arm.com <bsgcomp@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>

1 files changed, 18 insertions, 0 deletions

diff --git a/arm_compute/core/NEON/kernels/NEBatchNormalizationLayerKernel.h b/arm_compute/core/NEON/kernels/NEBatchNormalizationLayerKernel.h
index 1dfe075310..f5f818c083 100644
--- a/arm_compute/core/NEON/kernels/NEBatchNormalizationLayerKernel.h
+++ b/arm_compute/core/NEON/kernels/NEBatchNormalizationLayerKernel.h
@@ -62,6 +62,24 @@ public:
      * @param[in]      epsilon Small value to avoid division with zero.
      */
     void configure(ITensor *input, ITensor *output, const ITensor *mean, const ITensor *var, const ITensor *beta, const ITensor *gamma, float epsilon);
+    /** Static function to check if given info will lead to a valid configuration of @ref NEBatchNormalizationLayerKernel
+     *
+     * @param[in] input   Source tensor info. In case of @p output tensor = nullptr, this tensor will store the result.
+     *                    3 lower dimensions represent a single input with dimensions [width, height, FM].
+     *                    The rest are optional and used for representing batches. Data types supported: QS8/QS16/F16/F32.
+     * @param[in] output  Destination tensor info. Output will have the same number of dimensions as input. Data type supported: same as @p input
+     * @param[in] mean    Mean values tensor info. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input
+     * @param[in] var     Variance values tensor info. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input
+     * @param[in] beta    Beta values tensor info. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input
+     * @param[in] gamma   Gamma values tensor info. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input
+     * @param[in] epsilon Small value to avoid division with zero.
+     *
+     * @return an error status
+     */
+    static Error validate(const ITensorInfo *input, const ITensorInfo *output,
+                          const ITensorInfo *mean, const ITensorInfo *var,
+                          const ITensorInfo *beta, const ITensorInfo *gamma,
+                          float epsilon);
 
     // Inherited methods overridden:
     void run(const Window &window, const ThreadInfo &info) override;