diff --git a/arm_compute/runtime/NEON/functions/NEGEMMLowpOutputStage.h b/arm_compute/runtime/NEON/functions/NEGEMMLowpOutputStage.h
index a3db23a..9270d55 100644
--- a/arm_compute/runtime/NEON/functions/NEGEMMLowpOutputStage.h
+++ b/arm_compute/runtime/NEON/functions/NEGEMMLowpOutputStage.h
@@ -73,6 +73,17 @@
     *                             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 NEGEMMLowpQuantizeDownInt32ToUint8Scale
+    *
+    * @param[in] input  Input tensor. It is the output of @ref NEGEMMLowpMatrixMultiplyCore function. Data type supported: S32
+    * @param[in] bias   Biases tensor. Only shared biases supported and it can be a nullptr if the addition of biases 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);
 };
 }
 #endif /*__ARM_COMPUTE_NEGEMMLOWPOUTPUTSTAGE_H__ */
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