diff --git a/arm_compute/runtime/CL/functions/CLActivationLayer.h b/arm_compute/runtime/CL/functions/CLActivationLayer.h
index a1aeb19..037ae71 100644
--- a/arm_compute/runtime/CL/functions/CLActivationLayer.h
+++ b/arm_compute/runtime/CL/functions/CLActivationLayer.h
@@ -49,6 +49,16 @@
      * @param[in]      act_info Activation layer parameters.
      */
     void configure(ICLTensor *input, ICLTensor *output, ActivationLayerInfo act_info);
+    /** Static function to check if given info will lead to a valid configuration of @ref CLActivationLayer
+     *
+     * @param[in] input    Source tensor info. In case of @p output tensor info = nullptr, this tensor will store the result
+     *                     of the activation function. Data types supported: QS8/QS16/F16/F32.
+     * @param[in] output   Destination tensor info. Data type supported: same as @p input
+     * @param[in] act_info Activation layer information.
+     *
+     * @return an error status
+     */
+    static Error validate(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info);
 };
 }
 #endif /* __ARM_COMPUTE_CLACTIVATIONLAYER_H__ */
diff --git a/arm_compute/runtime/CL/functions/CLArithmeticAddition.h b/arm_compute/runtime/CL/functions/CLArithmeticAddition.h
index f888256..0c54147 100644
--- a/arm_compute/runtime/CL/functions/CLArithmeticAddition.h
+++ b/arm_compute/runtime/CL/functions/CLArithmeticAddition.h
@@ -47,6 +47,16 @@
      * @param[in]  policy Policy to use to handle overflow.
      */
     void configure(const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, ConvertPolicy policy);
+    /** Static function to check if given info will lead to a valid configuration of @ref CLArithmeticAddition
+     *
+     * @param[in] input1 First tensor input info. Data types supported: U8/QS8/QS16/S16/F16/F32.
+     * @param[in] input2 Second tensor input info. Data types supported: U8/QS8 (only if @p input1 is QS8), QS16 (only if @p input1 is QS16), S16/F16/F32.
+     * @param[in] output Output tensor info. Data types supported: U8 (Only if both inputs are U8), QS8 (only if both inputs are QS8), QS16 (only if both inputs are QS16), S16/F16/F32.
+     * @param[in] policy Policy to use to handle overflow.
+     *
+     * @return an error status
+     */
+    static Error validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy);
 };
 }
 #endif /* __ARM_COMPUTE_CLARITHMETICADDITION_H__ */
diff --git a/arm_compute/runtime/CL/functions/CLArithmeticSubtraction.h b/arm_compute/runtime/CL/functions/CLArithmeticSubtraction.h
index eedeaa8..749f1b2 100644
--- a/arm_compute/runtime/CL/functions/CLArithmeticSubtraction.h
+++ b/arm_compute/runtime/CL/functions/CLArithmeticSubtraction.h
@@ -48,6 +48,16 @@
      * @param[in]  policy Policy to use to handle overflow.
      */
     void configure(const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, ConvertPolicy policy);
+    /** Static function to check if given info will lead to a valid configuration of @ref CLArithmeticSubtraction
+     *
+     * @param[in] input1 First tensor input info. Data types supported: U8/QS8/QS16/S16/F16/F32.
+     * @param[in] input2 Second tensor input info. Data types supported: U8/QS8 (only if @p input1 is QS8), QS16 (only if @p input1 is QS16), S16/F16/F32.
+     * @param[in] output Output tensor info. Data types supported: U8 (Only if both inputs are U8), QS8 (only if both inputs are QS8), QS16 (only if both inputs are QS16), S16/F16/F32.
+     * @param[in] policy Policy to use to handle overflow.
+     *
+     * @return an error status
+     */
+    static Error validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy);
 };
 }
 #endif /* __ARM_COMPUTE_CLARITHMETICSUBTRACTION_H__ */
diff --git a/arm_compute/runtime/CL/functions/CLBatchNormalizationLayer.h b/arm_compute/runtime/CL/functions/CLBatchNormalizationLayer.h
index ffb66be..70a201a 100644
--- a/arm_compute/runtime/CL/functions/CLBatchNormalizationLayer.h
+++ b/arm_compute/runtime/CL/functions/CLBatchNormalizationLayer.h
@@ -51,14 +51,32 @@
      * @param[in, out] input   Source tensor. 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[out]     output  Destination tensor. Output will have the same number of dimensions as input. Data type supported: same as @p input
      * @param[in]      mean    Mean values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input
      * @param[in]      var     Variance values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input
      * @param[in]      gamma   Gamma values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input
      * @param[in]      beta    Beta values tensor. 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.
-     * @param[out]     output  Destination tensor. Output will have the same number of dimensions as input. Data type supported: same as @p input
      */
     void configure(ICLTensor *input, ICLTensor *output, const ICLTensor *mean, const ICLTensor *var, const ICLTensor *beta, const ICLTensor *gamma, float epsilon);
+    /** Static function to check if given info will lead to a valid configuration of @ref CLBatchNormalizationLayer
+     *
+     * @param[in] input   Source tensor info. In case of @p output tensor info = nullptr, this tensor will store the result.
+     *                    3 lower dimensions represent a single input with dimensions [width, height, FM].
+     * @param[in] output  Destination tensor info. Output will have the same number of dimensions as input. Data type supported: same as @p input
+     *                    The rest are optional and used for representing batches. Data types supported: QS8/QS16/F16/F32.
+     * @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] gamma   Gamma 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] 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() override;
diff --git a/arm_compute/runtime/CL/functions/CLPixelWiseMultiplication.h b/arm_compute/runtime/CL/functions/CLPixelWiseMultiplication.h
index 71754fc..4fdcd75 100644
--- a/arm_compute/runtime/CL/functions/CLPixelWiseMultiplication.h
+++ b/arm_compute/runtime/CL/functions/CLPixelWiseMultiplication.h
@@ -37,15 +37,30 @@
 public:
     /** Initialise the kernel's inputs, output and convertion policy.
      *
-     * @param[in]  input1          First tensor input. Data types supported: U8, S16, F16 or F32.
-     * @param[in]  input2          Second tensor input. Data types supported: U8, S16, F16 or F32.
-     * @param[out] output          Output tensor. Data types supported: U8(Only if both inputs are U8), S16, F16 or F32.
-     * @param[in]  scale           Scale to apply after multiplication. Must be positive.
+     * @param[in]  input1          An input tensor. Data types supported: U8/QS8/QS16/S16/F16/F32.
+     * @param[in]  input2          An input tensor. Data types supported: same as @p input1.
+     * @param[out] output          The output tensor, Data types supported: same as @p input1. Note: U8 (QS8, QS16) requires both inputs to be U8 (QS8, QS16).
+     * @param[in]  scale           Scale to apply after multiplication.
+     *                             Scale must be positive and its value must be either 1/255 or 1/2^n where n is between 0 and 15. For QS8 and QS16 scale must be 1.
      * @param[in]  overflow_policy Overflow policy. Supported overflow policies: Wrap, Saturate
      * @param[in]  rounding_policy Rounding policy. Supported rounding modes: to zero, to nearest even.
      */
     void configure(const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, float scale,
                    ConvertPolicy overflow_policy, RoundingPolicy rounding_policy);
+    /** Static function to check if given info will lead to a valid configuration of @ref CLPixelWiseMultiplication
+     *
+     * @param[in] input1          An input tensor info. Data types supported: U8/QS8/QS16/S16/F16/F32.
+     * @param[in] input2          An input tensor info. Data types supported: same as @p input1.
+     * @param[in] output          The output tensor info, Data types supported: same as @p input1. Note: U8 (QS8, QS16) requires both inputs to be U8 (QS8, QS16).
+     * @param[in] scale           Scale to apply after multiplication.
+     *                            Scale must be positive and its value must be either 1/255 or 1/2^n where n is between 0 and 15. For QS8 and QS16 scale must be 1.
+     * @param[in] overflow_policy Overflow policy. Supported overflow policies: Wrap, Saturate
+     * @param[in] rounding_policy Rounding policy. Supported rounding modes: to zero, to nearest even.
+     *
+     * @return an error status
+     */
+    static Error validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, float scale,
+                          ConvertPolicy overflow_policy, RoundingPolicy rounding_policy);
 };
 }
 #endif /*__ARM_COMPUTE_CLPIXELWISEMULTIPLICATION_H__ */
diff --git a/arm_compute/runtime/CL/functions/CLPoolingLayer.h b/arm_compute/runtime/CL/functions/CLPoolingLayer.h
index f7fd114..9c51534 100644
--- a/arm_compute/runtime/CL/functions/CLPoolingLayer.h
+++ b/arm_compute/runtime/CL/functions/CLPoolingLayer.h
@@ -50,11 +50,11 @@
     void configure(ICLTensor *input, ICLTensor *output, const PoolingLayerInfo &pool_info);
     /** Static function to check if given info will lead to a valid configuration of @ref CLPoolingLayer
      *
-     * @param[in] input     Input's tensor info
-     * @param[in] output    Output's tensor info
+     * @param[in] input     Source tensor info. Data types supported: QS8/QS16/F16/F32.
+     * @param[in] output    Destination tensor info. Data types supported: Same as @p input.
      * @param[in] pool_info Contains pooling operation information described in @ref PoolingLayerInfo.
      *
-     * @return an expected value
+     * @return an error status
      */
     static Error validate(const ITensorInfo *input, const ITensorInfo *output, const PoolingLayerInfo &pool_info);
 };