diff --git a/arm_compute/core/CL/kernels/CLActivationLayerKernel.h b/arm_compute/core/CL/kernels/CLActivationLayerKernel.h
index 30bf6fb..5b6c44c 100644
--- a/arm_compute/core/CL/kernels/CLActivationLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLActivationLayerKernel.h
@@ -63,9 +63,9 @@
      * @param[in] output   Destination tensor info. Data type supported: same as @p input
      * @param[in] act_info Activation layer information.
      *
-     * @return an error status
+     * @return a status
      */
-    static Error validate(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info);
+    static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info);
 
     // Inherited methods overridden:
     void run(const Window &window, cl::CommandQueue &queue) override;
diff --git a/arm_compute/core/CL/kernels/CLArithmeticAdditionKernel.h b/arm_compute/core/CL/kernels/CLArithmeticAdditionKernel.h
index aa4b9d6..96b8dc8 100644
--- a/arm_compute/core/CL/kernels/CLArithmeticAdditionKernel.h
+++ b/arm_compute/core/CL/kernels/CLArithmeticAdditionKernel.h
@@ -66,9 +66,9 @@
      * @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
+     * @return a status
      */
-    static Error validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy);
+    static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy);
 
     // Inherited methods overridden:
     void run(const Window &window, cl::CommandQueue &queue) override;
diff --git a/arm_compute/core/CL/kernels/CLArithmeticSubtractionKernel.h b/arm_compute/core/CL/kernels/CLArithmeticSubtractionKernel.h
index 13136d9..c5f862a 100644
--- a/arm_compute/core/CL/kernels/CLArithmeticSubtractionKernel.h
+++ b/arm_compute/core/CL/kernels/CLArithmeticSubtractionKernel.h
@@ -68,9 +68,9 @@
      * @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
+     * @return a status
      */
-    static Error validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy);
+    static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy);
 
     // Inherited methods overridden:
     void run(const Window &window, cl::CommandQueue &queue) override;
diff --git a/arm_compute/core/CL/kernels/CLBatchNormalizationLayerKernel.h b/arm_compute/core/CL/kernels/CLBatchNormalizationLayerKernel.h
index a5559bf..8643d83 100644
--- a/arm_compute/core/CL/kernels/CLBatchNormalizationLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLBatchNormalizationLayerKernel.h
@@ -75,12 +75,12 @@
      * @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
+     * @return a status
      */
-    static Error validate(const ITensorInfo *input, const ITensorInfo *output,
-                          const ITensorInfo *mean, const ITensorInfo *var,
-                          const ITensorInfo *beta, const ITensorInfo *gamma,
-                          float epsilon);
+    static Status 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, cl::CommandQueue &queue) override;
diff --git a/arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h b/arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h
index 2d8c3a3..d47b7da 100644
--- a/arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h
@@ -80,9 +80,9 @@
      * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo.
      * @param[in] target    Target GPU architecture.
      *
-     * @return an error status
+     * @return a status
      */
-    static Error validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info, const GPUTarget target);
+    static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info, const GPUTarget target);
 
     // Inherited methods overridden:
     void run(const Window &window, cl::CommandQueue &queue) override;
diff --git a/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel.h b/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel.h
index a1c6a1f..49e19e3 100644
--- a/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel.h
@@ -79,9 +79,9 @@
      * @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
      *
-     * @return an error status
+     * @return a status
      */
-    static Error validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min = 0, int max = 0);
+    static Status validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min = 0, int max = 0);
 
     // Inherited methods overridden:
     void run(const Window &window, cl::CommandQueue &queue) override;
diff --git a/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel.h b/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel.h
index 0855498..87b70ef 100644
--- a/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel.h
@@ -80,9 +80,9 @@
      * @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
      *
-     * @return an error status
+     * @return a status
      */
-    static Error validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min = 0, int max = 0);
+    static Status validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min = 0, int max = 0);
 
     // Inherited methods overridden:
     void run(const Window &window, cl::CommandQueue &queue) override;
diff --git a/arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h b/arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h
index 38daac6..d931152 100644
--- a/arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h
@@ -60,9 +60,9 @@
      * @param[in] output    Destination tensor. Output will have the same number of dimensions as input. Data types supported: same as @p input.
      * @param[in] norm_info Normalization layer information like the normalization type, normalization size and other parameters.
      *
-     * @return an error status
+     * @return a status
      */
-    static Error validate(const ITensorInfo *input, const ITensorInfo *output, NormalizationLayerInfo norm_info);
+    static Status validate(const ITensorInfo *input, const ITensorInfo *output, NormalizationLayerInfo norm_info);
 
     // Inherited methods overridden:
     void run(const Window &window, cl::CommandQueue &queue) override;
diff --git a/arm_compute/core/CL/kernels/CLPixelWiseMultiplicationKernel.h b/arm_compute/core/CL/kernels/CLPixelWiseMultiplicationKernel.h
index ed876df..6746a49 100644
--- a/arm_compute/core/CL/kernels/CLPixelWiseMultiplicationKernel.h
+++ b/arm_compute/core/CL/kernels/CLPixelWiseMultiplicationKernel.h
@@ -69,10 +69,10 @@
      * @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
+     * @return a status
      */
-    static Error validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, float scale,
-                          ConvertPolicy overflow_policy, RoundingPolicy rounding_policy);
+    static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, float scale,
+                           ConvertPolicy overflow_policy, RoundingPolicy rounding_policy);
 
     // Inherited methods overridden:
     void run(const Window &window, cl::CommandQueue &queue) override;
diff --git a/arm_compute/core/CL/kernels/CLPoolingLayerKernel.h b/arm_compute/core/CL/kernels/CLPoolingLayerKernel.h
index ffb5d79..e9ce28b 100644
--- a/arm_compute/core/CL/kernels/CLPoolingLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLPoolingLayerKernel.h
@@ -64,9 +64,9 @@
      * @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 error status
+     * @return a status
      */
-    static Error validate(const ITensorInfo *input, const ITensorInfo *output, const PoolingLayerInfo &pool_info);
+    static Status validate(const ITensorInfo *input, const ITensorInfo *output, const PoolingLayerInfo &pool_info);
 
     // Inherited methods overridden:
     void run(const Window &window, cl::CommandQueue &queue) override;
diff --git a/arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h b/arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h
index b0adb67..c072d2a 100644
--- a/arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h
@@ -47,9 +47,9 @@
      * @param[in] input  Source tensor. Data types supported: QS8/QASYMM8/QS16/F16/F32
      * @param[in] output Destination tensor. Data types supported: same as @p input
      *
-     * @return an error status
+     * @return a status
      */
-    static Error validate(const ITensorInfo *input, const ITensorInfo *output);
+    static Status validate(const ITensorInfo *input, const ITensorInfo *output);
 };
 
 /** Interface for shifting, exponentiating and summing the logits */
@@ -82,9 +82,9 @@
      * @param[in] output Destination tensor. Data types supported: S32 for QASYMM8 @p input, or same as @p input
      * @param[in] sum    Sum of 1D logits tensor. Data types supported: S32 for QASYMM8 @p input, or same as @p input
      *
-     * @return an error status
+     * @return a status
      */
-    static Error validate(const ITensorInfo *input, const ITensorInfo *max, const ITensorInfo *output, const ITensorInfo *sum);
+    static Status validate(const ITensorInfo *input, const ITensorInfo *max, const ITensorInfo *output, const ITensorInfo *sum);
 
     // Inherited methods overridden:
     void run(const Window &window, cl::CommandQueue &queue) override;
@@ -129,9 +129,9 @@
      * @param[in] output Destination tensor. Data types supported: same as @p input
      * @param[in] sum    Sum of 1D logits tensor. Data types supported: same as @p input
      *
-     * @return an error status
+     * @return a status
      */
-    static Error validate(const ITensorInfo *input, const ITensorInfo *max, const ITensorInfo *output, const ITensorInfo *sum);
+    static Status validate(const ITensorInfo *input, const ITensorInfo *max, const ITensorInfo *output, const ITensorInfo *sum);
     /** Checks if the given size is eligible for parallel reduction
      *
      * @note  Serial reduction is launched for width < (_grid_size * _serial_vector_size).
@@ -186,9 +186,9 @@
      * @param[in] sum    Sum tensor. Dimensions should be dim(input)-1. Data types supported: same as @p input
      * @param[in] output Destination tensor. Data types supported: QASYMM8 for S32 @p input, or same as @p input
      *
-     * @return an error status
+     * @return a status
      */
-    static Error validate(const ITensorInfo *input, const ITensorInfo *sum, const ITensorInfo *output);
+    static Status validate(const ITensorInfo *input, const ITensorInfo *sum, const ITensorInfo *output);
 
     // Inherited methods overridden:
     void run(const Window &window, cl::CommandQueue &queue) override;
diff --git a/arm_compute/core/CL/kernels/CLTransposeKernel.h b/arm_compute/core/CL/kernels/CLTransposeKernel.h
index e7367ca..2e1b481 100644
--- a/arm_compute/core/CL/kernels/CLTransposeKernel.h
+++ b/arm_compute/core/CL/kernels/CLTransposeKernel.h
@@ -49,9 +49,9 @@
      * @param[in] input  Input tensor. Data types supported: U8/S8/QS8/QASYMM8/U16/S16/QS16/F16/U32/S32/F32
      * @param[in] output Output tensor. Data type supported: Same as @p input
      *
-     * @return an error status
+     * @return a status
      */
-    static Error validate(const ITensorInfo *input, const ITensorInfo *output);
+    static Status validate(const ITensorInfo *input, const ITensorInfo *output);
 };
 } // namespace arm_compute
 #endif /* __ARM_COMPUTE_CLTRANSPOSEKERNEL_H__ */