diff --git a/arm_compute/runtime/CL/functions/CLActivationLayer.h b/arm_compute/runtime/CL/functions/CLActivationLayer.h
index f778148..09f5d2b 100644
--- a/arm_compute/runtime/CL/functions/CLActivationLayer.h
+++ b/arm_compute/runtime/CL/functions/CLActivationLayer.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2016-2019 ARM Limited.
+ * Copyright (c) 2016-2020 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -57,7 +57,7 @@
      * @note If the output tensor is a nullptr or is equal to the input, the activation function will be performed in-place
      *
      * @param[in, out] input    Source tensor. In case of @p output tensor = nullptr, this tensor will store the result
-     *                          of the activation function. Data types supported: QASYMM8/QSYMM16/F16/F32.
+     *                          of the activation function. Data types supported: QASYMM8/QASYMM8_SIGNED/QSYMM16/F16/F32.
      * @param[out]     output   Destination tensor. Data type supported: same as @p input
      * @param[in]      act_info Activation layer parameters.
      */
@@ -65,7 +65,7 @@
     /** 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: QASYMM8/QSYMM16/F16/F32.
+     *                     of the activation function. Data types supported: QASYMM8/QASYMM8_SIGNED/QSYMM16/F16/F32.
      * @param[in] output   Destination tensor info. Data type supported: same as @p input
      * @param[in] act_info Activation layer information.
      *
diff --git a/arm_compute/runtime/CL/functions/CLComparison.h b/arm_compute/runtime/CL/functions/CLComparison.h
index 7f0b223..85dbe71 100644
--- a/arm_compute/runtime/CL/functions/CLComparison.h
+++ b/arm_compute/runtime/CL/functions/CLComparison.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2019 ARM Limited.
+ * Copyright (c) 2018-2020 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -38,7 +38,7 @@
 public:
     /** Initialise the kernel's inputs and outputs.
      *
-     * @param[in]  input1    Source tensor. Data types supported: U8/S8/QASYMM8/U16/S16/U32/S32/F16/F32.
+     * @param[in]  input1    Source tensor. Data types supported: All.
      *                       The input1 tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
      * @param[in]  input2    Source tensor. Data types supported: Same as @p input1.
      *                       The input2 tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
@@ -48,7 +48,7 @@
     void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, ComparisonOperation operation);
     /** Static function to check if given info will lead to a valid configuration of @ref CLComparison
      *
-     * @param[in]  input1    Source tensor. Data types supported: U8/S8/QASYMM8/U16/S16/U32/S32/F16/F32.
+     * @param[in]  input1    Source tensor. Data types supported: All.
      * @param[in]  input2    Source tensor. Data types supported: Same as @p input1.
      * @param[in]  output    Destination tensor. Data types supported: U8.
      * @param[out] operation Comparison operation to be used.
diff --git a/arm_compute/runtime/CL/functions/CLConvertFullyConnectedWeights.h b/arm_compute/runtime/CL/functions/CLConvertFullyConnectedWeights.h
index f0359ec..76a28ed 100644
--- a/arm_compute/runtime/CL/functions/CLConvertFullyConnectedWeights.h
+++ b/arm_compute/runtime/CL/functions/CLConvertFullyConnectedWeights.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2019 ARM Limited.
+ * Copyright (c) 2018-2020 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -39,7 +39,7 @@
 public:
     /** Initialize the function.
      *
-     * @param[in]  input                Source weights tensor to convert. Must be 2 dimensional. Data types supported: U8/S8/QASYMM8/U16/S16/U32/S32/F16/F32.
+     * @param[in]  input                Source weights tensor to convert. Must be 2 dimensional. Data types supported: All.
      * @param[out] output               The converted weights tensor. Shape and Data Type: Same as @p input.
      * @param[in]  original_input_shape Shape of the original input tensor (the one entering fully connected layer).
      * @param[in]  data_layout          The data layout the weights have been trained in.
@@ -49,7 +49,7 @@
     void configure(const ICLTensor *input, ICLTensor *output, const TensorShape &original_input_shape, DataLayout data_layout);
     /** Static function to check if given info will lead to a valid configuration of @ref CLConvertFullyConnectedWeights
      *
-     * @param[in] input                Source weights tensor info to convert. Must be 2 dimensional. Data types supported: U8/S8/QASYMM8/U16/S16/U32/S32/F16/F32.
+     * @param[in] input                Source weights tensor info to convert. Must be 2 dimensional. Data types supported: All.
      * @param[in] output               The converted weights tensor info. Shape and Data Type: Same as @p input.
      * @param[in] original_input_shape Shape of the original input tensor (the one entering fully connected layer).
      * @param[in] data_layout          The data layout the weights have been trained in.
@@ -90,7 +90,7 @@
     }
     /** Configures the @ref CLConvertFullyConnectedWeights function
      *
-     * @param[in] input                Source weights tensor info to convert.  Data type supported: U8/S8/QASYMM8/U16/S16/U32/S32/F16/F32.
+     * @param[in] input                Source weights tensor info to convert.  Data type supported: All.
      * @param[in] original_input_shape Shape of the original input tensor (the one entering fully connected layer).
      * @param[in] data_layout          The data layout the weights have been trained in.
      */
diff --git a/arm_compute/runtime/CL/functions/CLDeconvolutionLayerUpsample.h b/arm_compute/runtime/CL/functions/CLDeconvolutionLayerUpsample.h
index 6f01574..5a1009c 100644
--- a/arm_compute/runtime/CL/functions/CLDeconvolutionLayerUpsample.h
+++ b/arm_compute/runtime/CL/functions/CLDeconvolutionLayerUpsample.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2019 ARM Limited.
+ * Copyright (c) 2017-2020 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -59,14 +59,14 @@
 
     /** Initialize the function's source, destination, interpolation type and border_mode.
      *
-     * @param[in, out] input  Source tensor. Data type supported: QASYMM8/F16/F32.
+     * @param[in, out] input  Source tensor. Data type supported: All.
      * @param[out]     output Destination tensor. Data type supported: same as @p input.
      * @param[in]      info   Contains padding and policies to be used in the deconvolution.
      */
     void configure(ICLTensor *input, ICLTensor *output, const PadStrideInfo &info);
     /** Static function to check if given info will lead to a valid configuration of @ref CLDeconvolutionLayerUpsample
      *
-     * @param[in] input  Source tensor info. Data type supported: QASYMM8/F16/F32.
+     * @param[in] input  Source tensor info. Data type supported: All.
      * @param[in] output Destination tensor info. Data type supported: same as @p input.
      * @param[in] info   Contains padding and policies to be used in the deconvolution.
      *
diff --git a/arm_compute/runtime/CL/functions/CLDepthToSpaceLayer.h b/arm_compute/runtime/CL/functions/CLDepthToSpaceLayer.h
index ddee04a..0c33ed3 100644
--- a/arm_compute/runtime/CL/functions/CLDepthToSpaceLayer.h
+++ b/arm_compute/runtime/CL/functions/CLDepthToSpaceLayer.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2019 ARM Limited.
+ * Copyright (c) 2019-2020 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -24,43 +24,33 @@
 #ifndef ARM_COMPUTE_CLDEPTHTOSPACELAYER_H
 #define ARM_COMPUTE_CLDEPTHTOSPACELAYER_H
 
-#include "arm_compute/runtime/IFunction.h"
-
-#include "arm_compute/core/CL/kernels/CLDepthToSpaceLayerKernel.h"
 #include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/CL/ICLSimpleFunction.h"
 
 namespace arm_compute
 {
 class ICLTensor;
 
 /** Basic function to run @ref CLDepthToSpaceLayerKernel. */
-class CLDepthToSpaceLayer : public IFunction
+class CLDepthToSpaceLayer : public ICLSimpleFunction
 {
 public:
-    /** Default constructor */
-    CLDepthToSpaceLayer();
     /** Set the input and output tensors.
      *
-     * @param[in]  input       Tensor input. Supported tensor rank: 4. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32.
+     * @param[in]  input       Tensor input. Supported tensor rank: 4. Data types supported: All.
      * @param[out] output      Tensor output. Data types supported: same as @p input
      * @param[in]  block_shape Block shape value.
      */
     void configure(const ICLTensor *input, ICLTensor *output, int32_t block_shape);
     /** Static function to check if given info will lead to a valid configuration of @ref CLDepthToSpaceLayer.
      *
-     * @param[in] input       Tensor input info. Supported tensor rank: 4. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32.
+     * @param[in] input       Tensor input info. Supported tensor rank: 4. Data types supported: All.
      * @param[in] output      Tensor output info. Data types supported: same as @p input
      * @param[in] block_shape Block shape value.
      *
      * @return a status
      */
     static Status validate(const ITensorInfo *input, const ITensorInfo *output, int32_t block_shape);
-
-    // Inherited methods overridden:
-    void run() override;
-
-private:
-    CLDepthToSpaceLayerKernel _depth_to_space_kernel; /**< CLDepthToSpaceLayerKernel to run */
 };
 }
 #endif /* ARM_COMPUTE_CLDEPTHTOSPACELAYER_H */
diff --git a/arm_compute/runtime/CL/functions/CLDequantizationLayer.h b/arm_compute/runtime/CL/functions/CLDequantizationLayer.h
index 308349a..48d6ba8 100644
--- a/arm_compute/runtime/CL/functions/CLDequantizationLayer.h
+++ b/arm_compute/runtime/CL/functions/CLDequantizationLayer.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2019 ARM Limited.
+ * Copyright (c) 2017-2020 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -40,13 +40,13 @@
     /** Set the input and output tensors.
      *
      * @param[in]  input  Source tensor with at least 3 dimensions. The dimensions over the third will be interpreted as batches.
-     *                    Data types supported: QASYMM8/QSYMM8_PER_CHANNEL/QSYMM8/QSYMM16.
+     *                    Data types supported: QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL/QSYMM8/QSYMM16.
      * @param[out] output Destination tensor with the same dimensions of input. Data type supported: F16/F32.
      */
     void configure(const ICLTensor *input, ICLTensor *output);
     /** Static function to check if given info will lead to a valid configuration of @ref CLDequantizationLayer
      *
-     * @param[in] input  Input tensor info. Data types supported: QASYMM8/QSYMM8_PER_CHANNEL/QSYMM8/QSYMM16.
+     * @param[in] input  Input tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL/QSYMM8/QSYMM16.
      * @param[in] output Output tensor info. Data type supported: F16/F32.
      *
      * @return a status
diff --git a/arm_compute/runtime/CL/functions/CLNormalizePlanarYUVLayer.h b/arm_compute/runtime/CL/functions/CLNormalizePlanarYUVLayer.h
index 4fe5a11..5fbfdd1 100644
--- a/arm_compute/runtime/CL/functions/CLNormalizePlanarYUVLayer.h
+++ b/arm_compute/runtime/CL/functions/CLNormalizePlanarYUVLayer.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2019 ARM Limited.
+ * Copyright (c) 2018-2020 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -24,10 +24,10 @@
 #ifndef ARM_COMPUTE_CLNORMALIZEPLANARYUVLAYER_H
 #define ARM_COMPUTE_CLNORMALIZEPLANARYUVLAYER_H
 
-#include "arm_compute/runtime/IFunction.h"
-
-#include "arm_compute/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.h"
 #include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/CL/ICLSimpleFunction.h"
+
+#include <cstdint>
 
 namespace arm_compute
 {
@@ -37,15 +37,13 @@
  *
  *  @note The function simulates a NormalizePlanarYUV layer.
  */
-class CLNormalizePlanarYUVLayer : public IFunction
+class CLNormalizePlanarYUVLayer : public ICLSimpleFunction
 {
 public:
-    /** Default constructor */
-    CLNormalizePlanarYUVLayer();
     /** Set the input and output tensors.
      *
      * @param[in]  input  Source tensor. 3 lower dimensions represent a single input with dimensions [width, height, channels].
-     *                    Data types supported: QASYMM8/F16/F32.
+     *                    Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
      * @param[out] output Destinationfeature tensor. Data type supported: same as @p input
      * @param[in]  mean   Mean values tensor. 1 dimension with size equal to the number of input channels. Data types supported: Same as @p input
      * @param[in]  std    Standard deviation values tensor. 1 dimension with size equal to the number of input channels.
@@ -55,7 +53,7 @@
     /** Static function to check if given info will lead to a valid configuration of @ref CLNormalizePlanarYUVLayer
      *
      * @param[in]  input  Source tensor info. 3 lower dimensions represent a single input with dimensions [width, height, channels].
-     *                    Data types supported: QASYMM8/F16/F32.
+     *                    Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
      * @param[out] output Destination tensor info. Data type supported: same as @p input
      * @param[in]  mean   Mean values tensor info. 1 dimension with size equal to the number of input channels. Data types supported: Same as @p input
      * @param[in]  std    Standard deviation values tensor info. 1 dimension with size equal to the number of input channels.
@@ -64,12 +62,6 @@
      * @return a status
      */
     static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *mean, const ITensorInfo *std);
-
-    // Inherited methods overridden:
-    void run() override;
-
-private:
-    CLNormalizePlanarYUVLayerKernel _norm_kernel; /**< NormalizePlanarYUV layer kernel to run */
 };
 } // namespace arm_compute
 #endif /* ARM_COMPUTE_CLNORMALIZEPLANARYUVLAYER_H */
diff --git a/arm_compute/runtime/CL/functions/CLPReluLayer.h b/arm_compute/runtime/CL/functions/CLPReluLayer.h
index 42876cd..7f8a412 100644
--- a/arm_compute/runtime/CL/functions/CLPReluLayer.h
+++ b/arm_compute/runtime/CL/functions/CLPReluLayer.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2019 ARM Limited.
+ * Copyright (c) 2019-2020 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -42,14 +42,14 @@
      *
      * @note If the output tensor is a nullptr or is equal to the input, the activation function will be performed in-place
      *
-     * @param[in]  input  Source tensor. Data types supported: QASYMM8/F16/F32.
+     * @param[in]  input  Source tensor. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
      * @param[in]  alpha  PRelu layer parameters. Data types supported: same of @p input.
      * @param[out] output Destination tensor. Data type supported: same as @p input
      */
     void configure(ICLTensor *input, ICLTensor *alpha, ICLTensor *output);
     /** Static function to check if given info will lead to a valid configuration of @ref CLPReluLayer
      *
-     * @param[in] input  Source tensor info. Data types supported: QASYMM8/F16/F32.
+     * @param[in] input  Source tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
      * @param[in] alpha  PRelu layer parameters. Data types supported: same of @p input.
      * @param[in] output Destination tensor info. Data type supported: same as @p input
      *
diff --git a/arm_compute/runtime/CL/functions/CLPixelWiseMultiplication.h b/arm_compute/runtime/CL/functions/CLPixelWiseMultiplication.h
index fd64d7b..72b1587 100644
--- a/arm_compute/runtime/CL/functions/CLPixelWiseMultiplication.h
+++ b/arm_compute/runtime/CL/functions/CLPixelWiseMultiplication.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2016-2019 ARM Limited.
+ * Copyright (c) 2016-2020 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -38,7 +38,7 @@
 public:
     /** Initialise the kernel's inputs, output and convertion policy.
      *
-     * @param[in, out] input1          An input tensor. Data types supported: U8/QASYMM8/S16/QSYMM16/F16/F32.
+     * @param[in, out] input1          An input tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
      *                                 The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
      * @param[in, out] input2          An input tensor. Data types supported: same as @p input1.
      *                                 The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
@@ -52,7 +52,7 @@
                    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/QASYMM8/S16/QSYMM16/F16/F32.
+     * @param[in] input1          An input tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/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 requires both inputs to be U8.
      * @param[in] scale           Scale to apply after multiplication.
diff --git a/arm_compute/runtime/CL/functions/CLPoolingLayer.h b/arm_compute/runtime/CL/functions/CLPoolingLayer.h
index 19acb7f..c78b558 100644
--- a/arm_compute/runtime/CL/functions/CLPoolingLayer.h
+++ b/arm_compute/runtime/CL/functions/CLPoolingLayer.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2019 ARM Limited.
+ * Copyright (c) 2017-2020 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -43,14 +43,14 @@
 public:
     /** Set the input and output tensors.
      *
-     * @param[in,out] input     Source tensor. (Written to only when padding != 0) Data types supported: QASYMM8/F16/F32.
+     * @param[in,out] input     Source tensor. (Written to only when padding != 0) Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
      * @param[out]    output    Destination tensor. Data types supported: Same as @p input.
      * @param[in]     pool_info Contains pooling operation information described in @ref PoolingLayerInfo.
      */
     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     Source tensor info. Data types supported: QASYMM8/F16/F32.
+     * @param[in] input     Source tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/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.
      *