1 files changed, 11 insertions, 0 deletions
diff --git a/arm_compute/core/NEON/kernels/NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel.h b/arm_compute/core/NEON/kernels/NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel.h
index 4ec0e9df93..654dee21af 100644
--- a/arm_compute/core/NEON/kernels/NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel.h
+++ b/arm_compute/core/NEON/kernels/NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel.h
@@ -70,6 +70,17 @@ public:
     *                             Along with @p min, this value can be used to implement "rectified linear unit" activation functions
      */
     void configure(const ITensor *input, const ITensor *bias, ITensor *output, int result_offset, int result_mult_int, int result_shift, int min = 0, int max = 0);
+    /** Static function to check if given info will lead to a valid configuration of @ref NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel
+     *
+    * @param[in] input  Input tensor. Data type supported: S32
+    * @param[in] bias   Biases tensor. Only shared biases supported and it can be a nullptr if the biases addition is not required.
+    *                   Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p input.
+    * @param[in] output Output tensor. Data type supported: Data type supported: QASYMM8
+    * @param[in] min    (Optional) Min value used to saturate down the output result before converting back to QASYMM8
+    * @param[in] max    (Optional) Max value used to saturate up the output result before converting back to QASYMM8,
+    *                   Along with @p min, this value can be used to implement "rectified linear unit" activation functions
+     */
+    static Error validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min = 0, int max = 0);
 
     // Inherited methods overridden:
     void run(const Window &window, const ThreadInfo &info) override;