diff --git a/arm_compute/runtime/NEON/functions/NEActivationLayer.h b/arm_compute/runtime/NEON/functions/NEActivationLayer.h
index f3cd305..007c53a 100644
--- a/arm_compute/runtime/NEON/functions/NEActivationLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEActivationLayer.h
@@ -49,6 +49,16 @@
      * @param[in]      activation_info Activation layer parameters.
      */
     void configure(ITensor *input, ITensor *output, ActivationLayerInfo activation_info);
+    /** Static function to check if given info will lead to a valid configuration of @ref NEActivationLayer
+     *
+     * @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 a status
+     */
+    static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info);
 };
 }
 #endif /* __ARM_COMPUTE_NEACTIVATIONLAYER_H__ */
diff --git a/arm_compute/runtime/NEON/functions/NEDirectConvolutionLayer.h b/arm_compute/runtime/NEON/functions/NEDirectConvolutionLayer.h
index c731bf2..6d8ce1f 100644
--- a/arm_compute/runtime/NEON/functions/NEDirectConvolutionLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEDirectConvolutionLayer.h
@@ -68,6 +68,26 @@
      * @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;
diff --git a/arm_compute/runtime/NEON/functions/NENormalizationLayer.h b/arm_compute/runtime/NEON/functions/NENormalizationLayer.h
index 0d5656d..4b5ad28 100644
--- a/arm_compute/runtime/NEON/functions/NENormalizationLayer.h
+++ b/arm_compute/runtime/NEON/functions/NENormalizationLayer.h
@@ -55,11 +55,21 @@
     /** Set the input and output tensors.
      *
      * @param[in]  input     Source tensor. 3 lower dims represent a single input with dimensions [width, height, IFM],
-     *                       and an optional 4th dimension for batch of inputs. Data type supported: QS8/F16/F32
+     *                       and an optional 4th dimension for batch of inputs. Data type supported: QS8/QS16/F16/F32
      * @param[out] output    Destination with the same dimensions, data type and number of channels of  @p input
      * @param[in]  norm_info Normalization layer information like the normalization type, normalization size and other parameters.
      */
     void configure(const ITensor *input, ITensor *output, const NormalizationLayerInfo &norm_info);
+    /** Static function to check if given info will lead to a valid configuration of @ref NENormalizationLayer
+     *
+     * @param[in] input     Source tensor. 3 lower dims represent a single input with dimensions [width, height, IFM],
+     *                      and an optional 4th dimension for batch of inputs. Data type supported: QS8/QS16/F16/F32
+     * @param[in] output    Destination with the same dimensions, data type and number of channels of  @p input
+     * @param[in] norm_info Normalization layer information like the normalization type, normalization size and other parameters.
+     *
+     * @return a status
+     */
+    static Status validate(const ITensorInfo *input, const ITensorInfo *output, const NormalizationLayerInfo &norm_info);
 
     // Inherited methods overridden:
     void run() override;
diff --git a/arm_compute/runtime/NEON/functions/NEPoolingLayer.h b/arm_compute/runtime/NEON/functions/NEPoolingLayer.h
index 7b038aa..0f8abb5 100644
--- a/arm_compute/runtime/NEON/functions/NEPoolingLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEPoolingLayer.h
@@ -53,6 +53,17 @@
      * @param[in]      pool_info Contains pooling operation information described in @ref PoolingLayerInfo.
      */
     void configure(ITensor *input, ITensor *output, const PoolingLayerInfo &pool_info);
+    /** Static function to check if given info will lead to a valid configuration of @ref NEPoolingLayer
+     *
+     * @note QS8, QS16 and F16 are supported for pool sizes 2 and 3 only
+     *
+     * @param[in] input     Source tensor. (Written to only when padding != 0) Data types supported: QS8/QS16/F16/F32.
+     * @param[in] output    Destination tensor. Data types supported: Same as @p input.
+     * @param[in] pool_info Contains pooling operation information described in @ref PoolingLayerInfo.
+     *
+     * @return a status
+     */
+    static Status validate(const ITensorInfo *input, const ITensorInfo *output, const PoolingLayerInfo &pool_info);
 
     // Inherited methods overridden:
     void run() override;
diff --git a/arm_compute/runtime/NEON/functions/NESoftmaxLayer.h b/arm_compute/runtime/NEON/functions/NESoftmaxLayer.h
index 38a0f21..5043f79 100644
--- a/arm_compute/runtime/NEON/functions/NESoftmaxLayer.h
+++ b/arm_compute/runtime/NEON/functions/NESoftmaxLayer.h
@@ -56,6 +56,15 @@
      * @param[in]  beta   (Optional) A scaling factor for the exponent. QS8/QS16 only support a beta value of 1.
      */
     void configure(ITensor *input, ITensor *output, float beta = 1.0f);
+    /** Static function to check if given info will lead to a valid configuration of @ref NESoftmaxLayer
+     *
+     * @param[in] input  Source tensor. Data types supported: QS8/QS16/F16/F32
+     * @param[in] output Destination tensor. Data types supported: same as @p input
+     * @param[in] beta   (Optional) A scaling factor for the exponent. QS8/QS16 only support a beta value of 1.
+     *
+     * @return a status
+     */
+    static Status validate(const ITensorInfo *input, const ITensorInfo *output, float beta = 1.0f);
 
     // Inherited methods overridden:
     void run() override;