COMPMID-3394: Replace get_cl_type_from_data_type in All

Signed-off-by: Sheri Zhang <sheri.zhang@arm.com>
Change-Id: I978050182817c964779c775cdefd88d2c7df0ca5
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3069
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>

20 files changed, 77 insertions, 118 deletions

diff --git a/arm_compute/core/CL/kernels/CLPadLayerKernel.h b/arm_compute/core/CL/kernels/CLPadLayerKernel.h
index f051774d84..166c202335 100644
--- a/arm_compute/core/CL/kernels/CLPadLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLPadLayerKernel.h
@@ -49,7 +49,7 @@ public:
     ~CLPadLayerKernel() = default;
     /** Set the input and output tensor.
      *
-     * @param[in]  input          Source tensor. Data types supported: All.
+     * @param[in]  input          Source tensor. Data types supported: U8, S8, QASYMM8, QASYMM8_SIGNED, U16, S16, U32, S32, F16, F32.
      * @param[out] output         Output tensor. Data type supported: same as @p input
      * @param[in]  padding        The padding for each spatial dimension of the input tensor. The pair padding[i]
      *                            specifies the front and the end padding in the i-th dimension.
@@ -73,7 +73,7 @@ public:
                    PaddingMode mode = PaddingMode::CONSTANT);
     /** Static function to check if given info will lead to a valid configuration of @ref CLPadLayerKernel
      *
-     * @param[in] input          Source tensor info. Data types supported: All.
+     * @param[in] input          Source tensor info. Data types supported: U8, S8, QASYMM8, QASYMM8_SIGNED, U16, S16, U32, S32, F16, F32.
      * @param[in] output         Output tensor info. Data type supported: same as @p input
      * @param[in] padding        The padding for each spatial dimension of the input tensor. The pair padding[i]
      *                           specifies the front and the end padding in the i-th dimension.
diff --git a/src/core/CL/cl_kernels/batch_to_space.cl b/src/core/CL/cl_kernels/batch_to_space.cl
index 8506fc3709..b2ec8a700f 100644
--- a/src/core/CL/cl_kernels/batch_to_space.cl
+++ b/src/core/CL/cl_kernels/batch_to_space.cl
@@ -1,11 +1,11 @@
 /*
- * Copyright (c) 2018 ARM Limited.
+ * Copyright (c) 2018-2020 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
  * Permission is hereby granted, free of charge, to any person obtaining a copy
  * of this software and associated documentation files (the "Software"), to
- * deal in the Software withoutput restriction, including withoutput limitation the
+ * deal in the Software without restriction, including without limitation the
  * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
  * sell copies of the Software, and to permit persons to whom the Software is
  * furnished to do so, subject to the following conditions:
@@ -30,7 +30,7 @@
  * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=float
  * @note The input tensor batch size must be passed at compile time using -DBATCH_SIZE. e.g. -DBATCH_SIZE=2
  *
- * @param[in]  input_ptr                            Pointer to the source tensor. Supported data types: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * @param[in]  input_ptr                            Pointer to the source tensor. Supported data types: All
  * @param[in]  input_stride_x                       Stride of the source tensor in X dimension (in bytes)
  * @param[in]  input_step_x                         input_stride_x * number of elements along X processed per workitem(in bytes)
  * @param[in]  input_stride_y                       Stride of the source tensor in Y dimension (in bytes)
@@ -84,7 +84,7 @@ __kernel void batch_to_space_nchw(
  * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=float
  * @note The input tensor batch size must be passed at compile time using -DBATCH_SIZE. e.g. -DBATCH_SIZE=2
  *
- * @param[in]  input_ptr                            Pointer to the source tensor. Supported data types: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * @param[in]  input_ptr                            Pointer to the source tensor. Supported data types: All
  * @param[in]  input_stride_x                       Stride of the source tensor in X dimension (in bytes)
  * @param[in]  input_step_x                         input_stride_x * number of elements along X processed per workitem(in bytes)
  * @param[in]  input_stride_y                       Stride of the source tensor in Y dimension (in bytes)
@@ -142,7 +142,7 @@ __kernel void batch_to_space_nhwc(
  * @note The block shape x must be passed at compile time using -DBLOCK_SHAPE_X. e.g. -DBLOCK_SHAPE_X=2
  * @note The block shape y must be passed at compile time using -DBLOCK_SHAPE_Y. e.g. -DBLOCK_SHAPE_Y=2
  *
- * @param[in]  input_ptr                            Pointer to the source tensor. Supported data types: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * @param[in]  input_ptr                            Pointer to the source tensor. Supported data types: All
  * @param[in]  input_stride_x                       Stride of the source tensor in X dimension (in bytes)
  * @param[in]  input_step_x                         input_stride_x * number of elements along X processed per workitem(in bytes)
  * @param[in]  input_stride_y                       Stride of the source tensor in Y dimension (in bytes)
@@ -189,7 +189,7 @@ __kernel void batch_to_space_static_nchw(
  * @note The block shape x must be passed at compile time using -DBLOCK_SHAPE_X. e.g. -DBLOCK_SHAPE_X=2
  * @note The block shape y must be passed at compile time using -DBLOCK_SHAPE_Y. e.g. -DBLOCK_SHAPE_Y=2
  *
- * @param[in]  input_ptr                            Pointer to the source tensor. Supported data types: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * @param[in]  input_ptr                            Pointer to the source tensor. Supported data types: All
  * @param[in]  input_stride_x                       Stride of the source tensor in X dimension (in bytes)
  * @param[in]  input_step_x                         input_stride_x * number of elements along X processed per workitem(in bytes)
  * @param[in]  input_stride_y                       Stride of the source tensor in Y dimension (in bytes)
diff --git a/src/core/CL/cl_kernels/col2im.cl b/src/core/CL/cl_kernels/col2im.cl
index b02d07b332..fb6dcc5259 100644
--- a/src/core/CL/cl_kernels/col2im.cl
+++ b/src/core/CL/cl_kernels/col2im.cl
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2018 ARM Limited.
+ * Copyright (c) 2017-2020 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -43,7 +43,7 @@
  * @note The element size must be passed at compile time using -DELEMENT_SIZE: e.g. -DELEMENT_SIZE=4
  * @note The number of groups must be passed at compile time using  -DNUM_GROUPS: e.g. -DNUM_GROUPS=4
  *
- * @param[in]  src_ptr                           Pointer to the source tensor. Supported data types: QASYMM8/F16/F32
+ * @param[in]  src_ptr                           Pointer to the source tensor. Supported data types: QASYMM8/QASYMM8_SIGNED/F16/F32
  * @param[in]  src_stride_x                      Stride of the source tensor in X dimension (in bytes)
  * @param[in]  src_step_x                        src_stride_x * number of elements along X processed per workitem(in bytes)
  * @param[in]  src_stride_y                      Stride of the source tensor in Y dimension (in bytes)
diff --git a/src/core/CL/cl_kernels/flatten.cl b/src/core/CL/cl_kernels/flatten.cl
index 02694f709e..6418edc517 100644
--- a/src/core/CL/cl_kernels/flatten.cl
+++ b/src/core/CL/cl_kernels/flatten.cl
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018 ARM Limited.
+ * Copyright (c) 2018-2020 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -31,7 +31,7 @@
  * @note The width, height and depth of the input tensor must be passed at compile time using -DSRC_WIDTH, -DSRC_HEIGHT and -DSRC_DEPTH. e.g. -DSRC_WIDTH=24, -DSRC_HEIGHT=24, -DSRC_DEPTH=16
  * @note If the output has 3 dimensions, the 2nd dimension of the output tensor must be passed at compile time using -DDST_DIM1. e.g -DDST_DIM1=3
  *
- * @param[in]  src_ptr                           Pointer to the source tensor. Supported data types: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * @param[in]  src_ptr                           Pointer to the source tensor. Supported data types: All
  * @param[in]  src_stride_x                      Stride of the source tensor in X dimension (in bytes)
  * @param[in]  src_step_x                        src_stride_x * number of elements along X processed per workitem(in bytes)
  * @param[in]  src_stride_y                      Stride of the source tensor in Y dimension (in bytes)
@@ -62,14 +62,12 @@ __kernel void flatten(
 
 #if defined(DST_DIM1)
     uint b_tmp = b0;
-    b0 = b_tmp % DST_DIM1; // batch id0
-    b1 = b_tmp / DST_DIM1; // batch id1
-#endif // defined(DST_DIM1)
+    b0         = b_tmp % DST_DIM1; // batch id0
+    b1         = b_tmp / DST_DIM1; // batch id1
+#endif                             // defined(DST_DIM1)
 
-    __global uchar *output_ptr = dst_ptr + dst_offset_first_element_in_bytes +
-                                 (get_global_id(0) + get_global_id(1) * (uint)SRC_WIDTH + c * (uint)(SRC_WIDTH * SRC_HEIGHT)) * sizeof(DATA_TYPE) +
-                                 b0 * dst_stride_y +
-                                 b1 * dst_stride_z;
+    __global uchar *output_ptr = dst_ptr + dst_offset_first_element_in_bytes + (get_global_id(0) + get_global_id(1) * (uint)SRC_WIDTH + c * (uint)(SRC_WIDTH * SRC_HEIGHT)) * sizeof(
+                                     DATA_TYPE) + b0 * dst_stride_y + b1 * dst_stride_z;
 
     *((__global DATA_TYPE *)output_ptr) = *((__global DATA_TYPE *)src.ptr);
 }
diff --git a/src/core/CL/cl_kernels/gather.cl b/src/core/CL/cl_kernels/gather.cl
index d6fe52d9d5..8400419c4b 100644
--- a/src/core/CL/cl_kernels/gather.cl
+++ b/src/core/CL/cl_kernels/gather.cl
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2019 ARM Limited.
+ * Copyright (c) 2018-2020 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -32,7 +32,7 @@
  * @attention Input tensor depth should be given as a preprocessor argument using -DINPUT_DIM_Z=size. e.g. -DINPUT_DIM_Z=16
  *
  *
- * @param[in]  input_ptr                             Pointer to the source tensor. Supported data types: U8/S8/U16/S16/U32/S32/F16/F32
+ * @param[in]  input_ptr                             Pointer to the source tensor. Supported data types: All
  * @param[in]  input_stride_x                        Stride of the source tensor in X dimension (in bytes)
  * @param[in]  input_step_x                          input_stride_x * number of elements along X processed per work item (in bytes)
  * @param[in]  input_stride_y                        Stride of the source tensor in Y dimension (in bytes)
diff --git a/src/core/CL/cl_kernels/im2col.cl b/src/core/CL/cl_kernels/im2col.cl
index 2bf59e4a99..3a84dabad9 100644
--- a/src/core/CL/cl_kernels/im2col.cl
+++ b/src/core/CL/cl_kernels/im2col.cl
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018 ARM Limited.
+ * Copyright (c) 2018-2020 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -45,7 +45,7 @@
  * @note In case biases will be added to the convolution -DHAS_BIAS has to be passed to append the final matrix with 1 in each row.
  * @note In case grouping is performed, the number of groups must be passed at compile time using -DNUM_GROUPS: e.g. -DNUM_GROUPS=4
  *
- * @param[in]  src_ptr                           Pointer to the source tensor. Supported data types: QASYMM8/F16/F32
+ * @param[in]  src_ptr                           Pointer to the source tensor. Supported data types: QASYMM8_SIGNED/QASYMM8/F16/F32
  * @param[in]  src_stride_x                      Stride of the source tensor in X dimension (in bytes)
  * @param[in]  src_step_x                        src_stride_x * number of elements along X processed per workitem(in bytes)
  * @param[in]  src_stride_y                      Stride of the source tensor in Y dimension (in bytes)
@@ -152,7 +152,7 @@ __kernel void im2col1x1_stridex1_nchw(
  * @note In case biases will be added to the convolution -DHAS_BIAS has to be passed to append the final matrix with 1 in each row.
  * @note In case grouping is performed, the number of groups must be passed at compile time using -DNUM_GROUPS: e.g. -DNUM_GROUPS=4
  *
- * @param[in]  src_ptr                           Pointer to the source tensor. Supported data types: QASYMM8/F16/F32
+ * @param[in]  src_ptr                           Pointer to the source tensor. Supported data types: QASYMM8_SIGNED/QASYMM8/F16/F32
  * @param[in]  src_stride_x                      Stride of the source tensor in X dimension (in bytes)
  * @param[in]  src_step_x                        src_stride_x * number of elements along X processed per workitem(in bytes)
  * @param[in]  src_stride_y                      Stride of the source tensor in Y dimension (in bytes)
@@ -252,7 +252,7 @@ __kernel void im2col_generic_nchw(
  * @note The stride along the X and Y directions must be passed at compile time using -DSTRIDE_X and -DSTRIDE_Y: e.g. -DSTRIDE_X=1 and -DSTRIDE_Y=1
  * @note In case biases will be added to the convolution -DHAS_BIAS has to be passed to append the final matrix with 1 in each row.
  *
- * @param[in]  src_ptr                           Pointer to the source tensor. Supported data types: QASYMM8/F16/F32
+ * @param[in]  src_ptr                           Pointer to the source tensor. Supported data types: QASYMM8_SIGNED/QASYMM8/F16/F32
  * @param[in]  src_stride_x                      Stride of the source tensor in X dimension (in bytes)
  * @param[in]  src_step_x                        src_stride_x * number of elements along X processed per workitem(in bytes)
  * @param[in]  src_stride_y                      Stride of the source tensor in Y dimension (in bytes)
@@ -358,7 +358,7 @@ __kernel void im2col3x3_nchw(
  * @note In case biases will be added to the convolution -DHAS_BIAS has to be passed to append the final matrix with 1 in each row.
  * @note In case grouping is performed, the number of groups must be passed at compile time using -DNUM_GROUPS: e.g. -DNUM_GROUPS=4
  *
- * @param[in]  src_ptr                           Pointer to the source tensor. Supported data types: QASYMM8/F16/F32
+ * @param[in]  src_ptr                           Pointer to the source tensor. Supported data types: QASYMM8_SIGNED/QASYMM8/F16/F32
  * @param[in]  src_stride_x                      Stride of the source tensor in X dimension (in bytes)
  * @param[in]  src_step_x                        src_stride_x * number of elements along X processed per workitem(in bytes)
  * @param[in]  src_stride_y                      Stride of the source tensor in Y dimension (in bytes)
@@ -550,7 +550,7 @@ __kernel void im2col5x5_nchw(
  * @note In case biases will be added to the convolution -DHAS_BIAS has to be passed to append the final matrix with 1 in each row.
  * @note In case grouping is performed, the number of groups must be passed at compile time using -DNUM_GROUPS: e.g. -DNUM_GROUPS=4
  *
- * @param[in]  src_ptr                           Pointer to the source tensor. Supported data types: QASYMM8/F16/F32
+ * @param[in]  src_ptr                           Pointer to the source tensor. Supported data types: QASYMM8_SIGNED/QASYMM8/F16/F32
  * @param[in]  src_stride_x                      Stride of the source tensor in X dimension (in bytes)
  * @param[in]  src_step_x                        src_stride_x * number of elements along X processed per workitem(in bytes)
  * @param[in]  src_stride_y                      Stride of the source tensor in Y dimension (in bytes)
@@ -770,7 +770,7 @@ __kernel void im2col11x11_padx0_pady0_nchw(
  * @note In case biases will be added to the convolution -DHAS_BIAS has to be passed to append the final matrix with 1 in each row.
  * @note In case grouping is performed, the number of groups must be passed at compile time using -DNUM_GROUPS: e.g. -DNUM_GROUPS=4
  *
- * @param[in]  src_ptr                           Pointer to the source tensor. Supported data types: F16/F32
+ * @param[in]  src_ptr                           Pointer to the source tensor. Supported data types: QASYMM8_SIGNED/QASYMM8/F16/F32
  * @param[in]  src_stride_x                      Stride of the source tensor in X dimension (in bytes)
  * @param[in]  src_step_x                        src_stride_x * number of elements along X processed per workitem(in bytes)
  * @param[in]  src_stride_y                      Stride of the source tensor in Y dimension (in bytes)
@@ -875,7 +875,7 @@ __kernel void im2col_generic_padx0_pady0_nchw(
  * @note The stride along the Y direction must be passed at compile time using -DSTRIDE_Y: e.g. -DSTRIDE_Y=1
  * @note In case biases will be added to the convolution -DHAS_BIAS has to be passed to append the final matrix with 1 in each row.
  *
- * @param[in]  src_ptr                           Pointer to the source tensor. Supported data types: QASYMM8/F16/F32
+ * @param[in]  src_ptr                           Pointer to the source tensor. Supported data types: QASYMM8_SIGNED/QASYMM8/F16/F32
  * @param[in]  src_stride_x                      Stride of the source tensor in X dimension (in bytes)
  * @param[in]  src_step_x                        src_stride_x * number of elements along X processed per workitem(in bytes)
  * @param[in]  src_stride_y                      Stride of the source tensor in Y dimension (in bytes)
@@ -1127,7 +1127,7 @@ __kernel void im2col3x3_nhwc(
  * @note The stride along the Y direction must be passed at compile time using -DSTRIDE_Y: e.g. -DSTRIDE_Y=1
  * @note In case biases will be added to the convolution -DHAS_BIAS has to be passed to append the final matrix with 1 in each row.
  *
- * @param[in]  src_ptr                           Pointer to the source tensor. Supported data types: QASYMM8/F16/F32
+ * @param[in]  src_ptr                           Pointer to the source tensor. Supported data types: QASYMM8_SIGNED/QASYMM8/F16/F32
  * @param[in]  src_stride_x                      Stride of the source tensor in X dimension (in bytes)
  * @param[in]  src_step_x                        src_stride_x * number of elements along X processed per workitem(in bytes)
  * @param[in]  src_stride_y                      Stride of the source tensor in Y dimension (in bytes)
@@ -1212,7 +1212,7 @@ __kernel void im2col9x9_nhwc(
  * @note The dilation_x and dilation_y must be passed at compile time using -DDILATION_X and -DDILATION_Y: e.g. -DDILATION_X=1, -DDILATION_Y=1
  * @note In case biases will be added to the convolution -DHAS_BIAS has to be passed to append the final matrix with 1 in each row.
  *
- * @param[in]  src_ptr                           Pointer to the source tensor. Supported data types: QASYMM8/F16/F32
+ * @param[in]  src_ptr                           Pointer to the source tensor. Supported data types: QASYMM8_SIGNED/QASYMM8/F16/F32
  * @param[in]  src_stride_x                      Stride of the source tensor in X dimension (in bytes)
  * @param[in]  src_step_x                        src_stride_x * number of elements along X processed per workitem(in bytes)
  * @param[in]  src_stride_y                      Stride of the source tensor in Y dimension (in bytes)
diff --git a/src/core/CL/cl_kernels/pad_layer.cl b/src/core/CL/cl_kernels/pad_layer.cl
index ae2af468a8..88c401d99f 100644
--- a/src/core/CL/cl_kernels/pad_layer.cl
+++ b/src/core/CL/cl_kernels/pad_layer.cl
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2019 ARM Limited.
+ * Copyright (c) 2019-2020 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -51,7 +51,7 @@
  *       -# -DPAD_W_BEFORE: Pad to add before the first batch of the input tensor (e.g. -DPAD_W_BEFORE=3)
  *       -# -DSRC_BATCH: Input tensor's batch size (e.g. -DSRC_BATCH=4)
  *
- * @param[in]  src_ptr                           Pointer to the source image. Supported data types: U8, S8, QASYMM8, U16, S16, U32, S32, F16, F32
+ * @param[in]  src_ptr                           Pointer to the source image. Supported data types: U8, S8, QASYMM8, QASYMM8_SIGNED, U16, S16, U32, S32, F16, F32
  * @param[in]  src_stride_x                      Stride of the source image in X dimension (in bytes)
  * @param[in]  src_step_x                        src_stride_x * number of elements along X processed per workitem(in bytes)
  * @param[in]  src_stride_y                      Stride of the source image in Y dimension (in bytes)
@@ -165,7 +165,7 @@ __kernel void pad_layer_constant(TENSOR3D_DECLARATION(src),
  * @note If the starting point to read backward from is less than the output's last element accessed in the X, the following compile flags must be passed at compile time to avoid negative offsets:
  *       -# -DAFTER_PAD_REM: Defines how much to rotate the vector if the backward calculation attempted to read from a negative offset (e.g. -DAFTER_PAD_REM=3)
  *
- * @param[in]  src_ptr                           Pointer to the source image. Supported data types: U8, S8, QASYMM8, U16, S16, U32, S32, F16, F32
+ * @param[in]  src_ptr                           Pointer to the source image. Supported data types: U8, S8, QASYMM8, QASYMM8_SIGNED, U16, S16, U32, S32, F16, F32
  * @param[in]  src_stride_x                      Stride of the source image in X dimension (in bytes)
  * @param[in]  src_step_x                        src_stride_x * number of elements along X processed per workitem(in bytes)
  * @param[in]  src_stride_y                      Stride of the source image in Y dimension (in bytes)
diff --git a/src/core/CL/cl_kernels/space_to_batch.cl b/src/core/CL/cl_kernels/space_to_batch.cl
index 79343d49c7..3098b255b4 100644
--- a/src/core/CL/cl_kernels/space_to_batch.cl
+++ b/src/core/CL/cl_kernels/space_to_batch.cl
@@ -1,11 +1,11 @@
 /*
- * Copyright (c) 2018 ARM Limited.
+ * Copyright (c) 2018-2020 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
  * Permission is hereby granted, free of charge, to any person obtaining a copy
  * of this software and associated documentation files (the "Software"), to
- * deal in the Software withoutput restriction, including withoutput limitation the
+ * deal in the Software without restriction, including without limitation the
  * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
  * sell copies of the Software, and to permit persons to whom the Software is
  * furnished to do so, subject to the following conditions:
@@ -13,12 +13,12 @@
  * The above copyright notice and this permission notice shall be included in all
  * copies or substantial portions of the Software.
  *
- * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KOUTD, EXPRESS OR
- * IMPLIED, OUTCLUDOUTG BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
- * FITNESS FOR A PARTICULAR PURPOSE AND NONOUTFROUTGEMENT. OUT NO EVENT SHALL THE
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
  * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
- * LIABILITY, WHETHER OUT AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISOUTG FROM,
- * OUT OF OR OUT CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALOUTGS OUT THE
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
  * SOFTWARE.
  */
 #include "helpers.h"
@@ -29,7 +29,7 @@
  * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=float
  * @note The block shape tensor rank must be passed at compile time using -DBLOCK_SHAPE_DIM. e.g. -DBLOCK_SHAPE_DIM=2
  *
- * @param[in]  input_ptr                                 Pointer to the source tensor. Supported data types: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * @param[in]  input_ptr                                 Pointer to the source tensor. Supported data types: All
  * @param[in]  input_stride_x                            Stride of the source tensor in X dimension (in bytes)
  * @param[in]  input_step_x                              input_stride_x * number of elements along X processed per workitem(in bytes)
  * @param[in]  input_stride_y                            Stride of the source image in Y dimension (in bytes)
@@ -100,7 +100,7 @@ __kernel void space_to_batch_nchw(
  * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=float
  * @note The block shape tensor rank must be passed at compile time using -DBLOCK_SHAPE_DIM. e.g. -DBLOCK_SHAPE_DIM=2
  *
- * @param[in]  input_ptr                                 Pointer to the source tensor. Supported data types: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * @param[in]  input_ptr                                 Pointer to the source tensor. Supported data types: All
  * @param[in]  input_stride_x                            Stride of the source tensor in X dimension (in bytes)
  * @param[in]  input_step_x                              input_stride_x * number of elements along X processed per workitem(in bytes)
  * @param[in]  input_stride_y                            Stride of the source image in Y dimension (in bytes)
@@ -180,7 +180,7 @@ __kernel void space_to_batch_nhwc(
  * @note The starting pad value of y must be passed at compile time using -DPAD_LEFT_Y. e.g. -DPAD_LEFT_Y=2
  * @note The ending pad value of  y must be passed at compile time using -DPAD_RIGHT_Y. e.g. -DPAD_RIGHT_X=2
  *
- * @param[in]  input_ptr                            Pointer to the source tensor. Supported data types: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * @param[in]  input_ptr                            Pointer to the source tensor. Supported data types: All
  * @param[in]  input_stride_x                       Stride of the source tensor in X dimension (in bytes)
  * @param[in]  input_step_x                         input_stride_x * number of elements along X processed per workitem(in bytes)
  * @param[in]  input_stride_y                       Stride of the source image in Y dimension (in bytes)
@@ -236,7 +236,7 @@ __kernel void space_to_batch_static_nchw(
  * @note The starting pad value of y must be passed at compile time using -DPAD_LEFT_Y. e.g. -DPAD_LEFT_Y=2
  * @note The ending pad value of  y must be passed at compile time using -DPAD_RIGHT_Y. e.g. -DPAD_RIGHT_X=2
  *
- * @param[in]  input_ptr                            Pointer to the source tensor. Supported data types: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * @param[in]  input_ptr                            Pointer to the source tensor. Supported data types: All
  * @param[in]  input_stride_x                       Stride of the source tensor in X dimension (in bytes)
  * @param[in]  input_step_x                         input_stride_x * number of elements along X processed per workitem(in bytes)
  * @param[in]  input_stride_y                       Stride of the source image in Y dimension (in bytes)
diff --git a/src/core/CL/cl_kernels/space_to_depth.cl b/src/core/CL/cl_kernels/space_to_depth.cl
index 898287efaa..8dbada2aed 100644
--- a/src/core/CL/cl_kernels/space_to_depth.cl
+++ b/src/core/CL/cl_kernels/space_to_depth.cl
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2019 ARM Limited.
+ * Copyright (c) 2019-2020 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -30,7 +30,7 @@
  * @note The input tensor batch size must be passed at compile time using -DCHANNEL_SIZE. e.g. -DCHANNEL_SIZE=2
  * @note The block shape must be passed at compile time using -DBLOCK_SHAPE. e.g. -DBLOCK_SHAPE=2
  *
- * @param[in]  input_ptr                            Pointer to the source tensor. Supported data types: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * @param[in]  input_ptr                            Pointer to the source tensor. Supported data types: All
  * @param[in]  input_stride_x                       Stride of the source tensor in X dimension (in bytes)
  * @param[in]  input_step_x                         input_stride_x * number of elements along X processed per workitem(in bytes)
  * @param[in]  input_stride_y                       Stride of the source tensor in Y dimension (in bytes)
@@ -72,7 +72,7 @@ __kernel void space_to_depth_nchw(
  * @note The input tensor batch size must be passed at compile time using -DCHANNEL_SIZE. e.g. -DCHANNEL_SIZE=2
  * @note The block shape must be passed at compile time using -DBLOCK_SHAPE. e.g. -DBLOCK_SHAPE=2
  *
- * @param[in]  input_ptr                            Pointer to the source tensor. Supported data types: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * @param[in]  input_ptr                            Pointer to the source tensor. Supported data types: All
  * @param[in]  input_stride_x                       Stride of the source tensor in X dimension (in bytes)
  * @param[in]  input_step_x                         input_stride_x * number of elements along X processed per workitem(in bytes)
  * @param[in]  input_stride_y                       Stride of the source tensor in Y dimension (in bytes)
diff --git a/src/core/CL/cl_kernels/tile.cl b/src/core/CL/cl_kernels/tile.cl
index ae625d99b1..1c8de67ac5 100644
--- a/src/core/CL/cl_kernels/tile.cl
+++ b/src/core/CL/cl_kernels/tile.cl
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018 ARM Limited.
+ * Copyright (c) 2018-2020 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -29,7 +29,7 @@
  * @attention Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g. -DVEC_SIZE=16
  * @note Can only take floating point data types.
  *
- * @param[in]  input_ptr                            Pointer to the source image. Supported data types: F16/F32
+ * @param[in]  input_ptr                            Pointer to the source image. Supported data types: All
  * @param[in]  input_stride_x                       Stride of the source image in X dimension (in bytes)
  * @param[in]  input_step_x                         input_stride_x * number of elements along X processed per workitem(in bytes)
  * @param[in]  input_stride_y                       Stride of the source image in Y dimension (in bytes)
diff --git a/src/core/CL/kernels/CLBatchToSpaceLayerKernel.cpp b/src/core/CL/kernels/CLBatchToSpaceLayerKernel.cpp
index f830161633..e899be9317 100644
--- a/src/core/CL/kernels/CLBatchToSpaceLayerKernel.cpp
+++ b/src/core/CL/kernels/CLBatchToSpaceLayerKernel.cpp
@@ -132,7 +132,7 @@ void CLBatchToSpaceLayerKernel::configure(const CLCompileContext &compile_contex
 
     // Create kernel
     CLBuildOptions build_opts;
-    build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type()));
+    build_opts.add_option("-DDATA_TYPE=" + get_cl_unsigned_type_from_element_size(data_size_from_type(input->info()->data_type())));
     build_opts.add_option("-DBATCH_SIZE=" + support::cpp11::to_string(input->info()->dimension(3)));
     build_opts.add_option("-DBLOCK_SHAPE_X=" + support::cpp11::to_string(block_shape_x));
     build_opts.add_option("-DBLOCK_SHAPE_Y=" + support::cpp11::to_string(block_shape_y));
diff --git a/src/core/CL/kernels/CLFlattenLayerKernel.cpp b/src/core/CL/kernels/CLFlattenLayerKernel.cpp
index d7b4a6eade..bf2c891169 100644
--- a/src/core/CL/kernels/CLFlattenLayerKernel.cpp
+++ b/src/core/CL/kernels/CLFlattenLayerKernel.cpp
@@ -22,18 +22,9 @@
  * SOFTWARE.
  */
 #include "arm_compute/core/CL/kernels/CLFlattenLayerKernel.h"
-
-#include "arm_compute/core/CL/CLHelpers.h"
-#include "arm_compute/core/CL/CLKernelLibrary.h"
-#include "arm_compute/core/CL/CLValidate.h"
 #include "arm_compute/core/CL/ICLTensor.h"
-#include "arm_compute/core/CL/OpenCL.h"
 #include "arm_compute/core/Error.h"
-#include "arm_compute/core/Helpers.h"
-#include "arm_compute/core/IAccessWindow.h"
 #include "arm_compute/core/TensorInfo.h"
-#include "arm_compute/core/Types.h"
-#include "arm_compute/core/Validate.h"
 #include "arm_compute/core/utils/misc/ShapeCalculator.h"
 #include "support/StringSupport.h"
 
@@ -46,7 +37,6 @@ namespace
 Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
-    ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input);
     ARM_COMPUTE_RETURN_ERROR_ON(input->data_type() == DataType::UNKNOWN);
 
     // Checks performed when output is configured
@@ -99,7 +89,7 @@ void CLFlattenLayerKernel::configure(const CLCompileContext &compile_context, co
     ICLKernel::configure_internal(win_config.second);
 
     CLBuildOptions build_opts;
-    build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type()));
+    build_opts.add_option("-DDATA_TYPE=" + get_cl_unsigned_type_from_element_size(data_size_from_type(input->info()->data_type())));
     build_opts.add_option("-DSRC_WIDTH=" + support::cpp11::to_string(input->info()->dimension(0)));
     build_opts.add_option("-DSRC_HEIGHT=" + support::cpp11::to_string(input->info()->dimension(1)));
     build_opts.add_option("-DSRC_DEPTH=" + support::cpp11::to_string(input->info()->dimension(2)));
diff --git a/src/core/CL/kernels/CLGatherKernel.cpp b/src/core/CL/kernels/CLGatherKernel.cpp
index 07b9282879..2cb8f2380a 100644
--- a/src/core/CL/kernels/CLGatherKernel.cpp
+++ b/src/core/CL/kernels/CLGatherKernel.cpp
@@ -22,17 +22,8 @@
  * SOFTWARE.
  */
 #include "arm_compute/core/CL/kernels/CLGatherKernel.h"
-
-#include "arm_compute/core/AccessWindowStatic.h"
-#include "arm_compute/core/CL/CLHelpers.h"
-#include "arm_compute/core/CL/CLKernelLibrary.h"
-#include "arm_compute/core/CL/CLValidate.h"
 #include "arm_compute/core/CL/ICLTensor.h"
-#include "arm_compute/core/CL/OpenCL.h"
-#include "arm_compute/core/Helpers.h"
-#include "arm_compute/core/IAccessWindow.h"
-#include "arm_compute/core/TensorInfo.h"
-#include "arm_compute/core/Window.h"
+#include "arm_compute/core/Error.h"
 #include "arm_compute/core/utils/misc/ShapeCalculator.h"
 #include "support/StringSupport.h"
 
@@ -49,7 +40,6 @@ inline Status validate_arguments(const ITensorInfo *input, const ITensorInfo *in
     ARM_COMPUTE_RETURN_ERROR_ON(indices->num_dimensions() > 1);
     ARM_COMPUTE_RETURN_ERROR_ON(input->num_dimensions() > 4);
     ARM_COMPUTE_RETURN_ERROR_ON(actual_axis >= input->num_dimensions());
-    ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input);
     ARM_COMPUTE_RETURN_ERROR_ON(input->data_type() == DataType::UNKNOWN);
 
     if(output->total_size() != 0)
@@ -108,7 +98,7 @@ void CLGatherKernel::configure(const CLCompileContext &compile_context, const IC
 
     // Set build options
     CLBuildOptions build_opts;
-    build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type()));
+    build_opts.add_option("-DDATA_TYPE=" + get_cl_unsigned_type_from_element_size(data_size_from_type(input->info()->data_type())));
     build_opts.add_option("-DOUTPUT_DIM_Z=" + support::cpp11::to_string(output->info()->dimension(2)));
     build_opts.add_option("-DINPUT_DIM_Z=" + support::cpp11::to_string(input->info()->dimension(2)));
     build_opts.add_option("-DAXIS=" + support::cpp11::to_string(_axis));
diff --git a/src/core/CL/kernels/CLMemsetKernel.cpp b/src/core/CL/kernels/CLMemsetKernel.cpp
index 08bb0a607e..992be0a10a 100644
--- a/src/core/CL/kernels/CLMemsetKernel.cpp
+++ b/src/core/CL/kernels/CLMemsetKernel.cpp
@@ -22,15 +22,9 @@
  * SOFTWARE.
  */
 #include "arm_compute/core/CL/kernels/CLMemsetKernel.h"
-
-#include "arm_compute/core/AccessWindowStatic.h"
-#include "arm_compute/core/CL/CLHelpers.h"
-#include "arm_compute/core/CL/CLKernelLibrary.h"
 #include "arm_compute/core/CL/ICLTensor.h"
-#include "arm_compute/core/Helpers.h"
-#include "arm_compute/core/Utils.h"
-#include "arm_compute/core/Validate.h"
-#include "arm_compute/core/Window.h"
+#include "arm_compute/core/Error.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
 #include "support/StringSupport.h"
 
 namespace arm_compute
diff --git a/src/core/CL/kernels/CLPermuteKernel.cpp b/src/core/CL/kernels/CLPermuteKernel.cpp
index bf8425c026..e657c4eee0 100644
--- a/src/core/CL/kernels/CLPermuteKernel.cpp
+++ b/src/core/CL/kernels/CLPermuteKernel.cpp
@@ -22,15 +22,8 @@
  * SOFTWARE.
  */
 #include "arm_compute/core/CL/kernels/CLPermuteKernel.h"
-
-#include "arm_compute/core/CL/CLHelpers.h"
-#include "arm_compute/core/CL/CLKernelLibrary.h"
-#include "arm_compute/core/CL/CLValidate.h"
 #include "arm_compute/core/CL/ICLTensor.h"
-#include "arm_compute/core/CL/OpenCL.h"
 #include "arm_compute/core/Error.h"
-#include "arm_compute/core/Helpers.h"
-#include "arm_compute/core/Types.h"
 #include "arm_compute/core/utils/misc/ShapeCalculator.h"
 #include "support/StringSupport.h"
 
@@ -53,7 +46,6 @@ Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, c
 {
     ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
     ARM_COMPUTE_RETURN_ERROR_ON(input->data_type() == DataType::UNKNOWN);
-    ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input);
     ARM_COMPUTE_RETURN_ERROR_ON_MSG(input->num_dimensions() < 1 || input->num_dimensions() > 4,
                                     "Permutation upto 4-D input tensor is supported");
     ARM_COMPUTE_RETURN_ERROR_ON_MSG(perm.num_dimensions() < 1 || perm.num_dimensions() > 4,
@@ -95,7 +87,7 @@ void CLPermuteKernel::configure(const CLCompileContext &compile_context, const I
 
     // Create kernel
     CLBuildOptions build_opts;
-    build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type()));
+    build_opts.add_option("-DDATA_TYPE=" + get_cl_unsigned_type_from_element_size(data_size_from_type(input->info()->data_type())));
     build_opts.add_option("-DDEPTH_IN=" + support::cpp11::to_string(input->info()->dimension(2)));
     // New positions of  width(W), height(H), channel(C) and batch(D) based on permutation vector
     build_opts.add_option("-DP1=" + support::cpp11::to_string((_perm.num_dimensions() >= 1) ? perm[0] : 0));
diff --git a/src/core/CL/kernels/CLSpaceToBatchLayerKernel.cpp b/src/core/CL/kernels/CLSpaceToBatchLayerKernel.cpp
index cac6e32f2f..5900b085e8 100644
--- a/src/core/CL/kernels/CLSpaceToBatchLayerKernel.cpp
+++ b/src/core/CL/kernels/CLSpaceToBatchLayerKernel.cpp
@@ -111,7 +111,7 @@ void CLSpaceToBatchLayerKernel::configure(const CLCompileContext &compile_contex
 
     // Create kernel
     CLBuildOptions build_opts;
-    build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type()));
+    build_opts.add_option("-DDATA_TYPE=" + get_cl_unsigned_type_from_element_size(data_size_from_type(input->info()->data_type())));
     build_opts.add_option("-DWIDTH_OUT=" + support::cpp11::to_string(output->info()->dimension(idx_width)));
     build_opts.add_option("-DHEIGHT_OUT=" + support::cpp11::to_string(output->info()->dimension(idx_height)));
     build_opts.add_option("-DBATCH_SIZE=" + support::cpp11::to_string(output->info()->dimension(idx_batch)));
@@ -152,7 +152,7 @@ void CLSpaceToBatchLayerKernel::configure(const CLCompileContext &compile_contex
 
     // Create kernel
     CLBuildOptions build_opts;
-    build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type()));
+    build_opts.add_option("-DDATA_TYPE=" + get_cl_unsigned_type_from_element_size(data_size_from_type(input->info()->data_type())));
     build_opts.add_option("-DWIDTH_OUT=" + support::cpp11::to_string(output->info()->dimension(idx_width)));
     build_opts.add_option("-DHEIGHT_OUT=" + support::cpp11::to_string(output->info()->dimension(idx_height)));
     build_opts.add_option("-DBATCH_SIZE=" + support::cpp11::to_string(output->info()->dimension(idx_batch)));
diff --git a/src/core/CL/kernels/CLSpaceToDepthLayerKernel.cpp b/src/core/CL/kernels/CLSpaceToDepthLayerKernel.cpp
index 3e7c929b58..072e992735 100644
--- a/src/core/CL/kernels/CLSpaceToDepthLayerKernel.cpp
+++ b/src/core/CL/kernels/CLSpaceToDepthLayerKernel.cpp
@@ -89,7 +89,7 @@ void CLSpaceToDepthLayerKernel::configure(const CLCompileContext &compile_contex
 
     // Create kernel
     CLBuildOptions build_opts;
-    build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(output->info()->data_type()));
+    build_opts.add_option("-DDATA_TYPE=" + get_cl_unsigned_type_from_element_size(data_size_from_type(output->info()->data_type())));
     build_opts.add_option("-DCHANNEL_SIZE=" + support::cpp11::to_string(output->info()->dimension(idx_channel)));
     build_opts.add_option("-DBLOCK_SHAPE=" + support::cpp11::to_string(block_shape));
     build_opts.add_option("-DWIDTH_IN=" + support::cpp11::to_string(output->info()->dimension(idx_width)));
diff --git a/src/core/CL/kernels/CLStridedSliceKernel.cpp b/src/core/CL/kernels/CLStridedSliceKernel.cpp
index 18a5135afa..18f02275e8 100644
--- a/src/core/CL/kernels/CLStridedSliceKernel.cpp
+++ b/src/core/CL/kernels/CLStridedSliceKernel.cpp
@@ -22,16 +22,8 @@
  * SOFTWARE.
  */
 #include "arm_compute/core/CL/kernels/CLStridedSliceKernel.h"
-
-#include "arm_compute/core/CL/CLHelpers.h"
-#include "arm_compute/core/CL/CLKernelLibrary.h"
-#include "arm_compute/core/CL/CLValidate.h"
 #include "arm_compute/core/CL/ICLTensor.h"
-#include "arm_compute/core/IAccessWindow.h"
 #include "arm_compute/core/TensorInfo.h"
-#include "arm_compute/core/Window.h"
-
-#include "arm_compute/core/Types.h"
 #include "arm_compute/core/utils/helpers/bit_ops.h"
 #include "arm_compute/core/utils/helpers/tensor_transform.h"
 #include "arm_compute/core/utils/misc/ShapeCalculator.h"
@@ -46,7 +38,6 @@ Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output,
                           int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
-    ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input);
     ARM_COMPUTE_RETURN_ERROR_ON(input->data_type() == DataType::UNKNOWN);
 
     ARM_COMPUTE_RETURN_ERROR_ON(input->tensor_shape().num_dimensions() > 4);
@@ -146,7 +137,7 @@ void CLStridedSliceKernel::configure(const CLCompileContext &compile_context, co
 
     // Create build options
     CLBuildOptions build_opts;
-    build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type()));
+    build_opts.add_option("-DDATA_TYPE=" + get_cl_unsigned_type_from_element_size(data_size_from_type(input->info()->data_type())));
     for(unsigned int i = 0; i < input_shape.num_dimensions(); ++i)
     {
         const bool is_shrink = arm_compute::helpers::bit_ops::is_bit_set(shrink_axis_mask, i);
diff --git a/src/core/CL/kernels/CLTileKernel.cpp b/src/core/CL/kernels/CLTileKernel.cpp
index 14e30ec5b1..2838251cc2 100644
--- a/src/core/CL/kernels/CLTileKernel.cpp
+++ b/src/core/CL/kernels/CLTileKernel.cpp
@@ -22,17 +22,8 @@
  * SOFTWARE.
  */
 #include "arm_compute/core/CL/kernels/CLTileKernel.h"
-
-#include "arm_compute/core/CL/CLHelpers.h"
-#include "arm_compute/core/CL/CLKernelLibrary.h"
-#include "arm_compute/core/CL/CLValidate.h"
 #include "arm_compute/core/CL/ICLTensor.h"
-#include "arm_compute/core/Helpers.h"
-#include "arm_compute/core/IAccessWindow.h"
-#include "arm_compute/core/TensorInfo.h"
-#include "arm_compute/core/Utils.h"
-#include "arm_compute/core/Validate.h"
-#include "arm_compute/core/Window.h"
+#include "arm_compute/core/Error.h"
 #include "arm_compute/core/utils/misc/ShapeCalculator.h"
 #include "support/StringSupport.h"
 
@@ -94,7 +85,7 @@ void CLTileKernel::configure(const CLCompileContext &compile_context, const ICLT
 
     // Create kernel
     CLBuildOptions build_opts;
-    build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(data_type));
+    build_opts.add_option("-DDATA_TYPE=" + get_cl_unsigned_type_from_element_size(data_size_from_type(data_type)));
     build_opts.add_option("-DSRC_WIDTH=" + support::cpp11::to_string(input_width_x));
     build_opts.add_option("-DSRC_HEIGHT=" + support::cpp11::to_string(input->info()->dimension(1)));
     build_opts.add_option("-DSRC_DEPTH=" + support::cpp11::to_string(input->info()->dimension(2)));
diff --git a/tests/validation/CL/PadLayer.cpp b/tests/validation/CL/PadLayer.cpp
index 431b7ebd19..631cc7081f 100644
--- a/tests/validation/CL/PadLayer.cpp
+++ b/tests/validation/CL/PadLayer.cpp
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2019 ARM Limited.
+ * Copyright (c) 2018-2020 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -41,7 +41,8 @@ namespace validation
 namespace
 {
 const auto PaddingSizesDataset3D = framework::dataset::make("PaddingSize",
-{   PaddingList{ { 0, 0 } },
+{
+    PaddingList{ { 0, 0 } },
     PaddingList{ { 1, 1 } },
     PaddingList{ { 33, 33 } },
     PaddingList{ { 1, 1 }, { 5, 5 } },
@@ -50,7 +51,8 @@ const auto PaddingSizesDataset3D = framework::dataset::make("PaddingSize",
     PaddingList{ { 0, 0 }, { 0, 0 }, { 0, 0 } }
 });
 const auto PaddingSizesDataset4D = framework::dataset::make("PaddingSize",
-{   PaddingList{ { 1, 1 }, { 1, 0 }, { 1, 1 }, { 0, 0 } },
+{
+    PaddingList{ { 1, 1 }, { 1, 0 }, { 1, 1 }, { 0, 0 } },
     PaddingList{ { 0, 0 }, { 0, 0 }, { 0, 0 }, { 1, 1 } },
     PaddingList{ { 0, 1 }, { 1, 0 }, { 2, 2 }, { 1, 0 } },
     PaddingList{ { 1, 1 }, { 1, 1 }, { 1, 1 }, { 3, 3 } }
@@ -175,6 +177,17 @@ FIXTURE_DATA_TEST_CASE(RunLarge, CLPaddingFixture<uint8_t>, framework::DatasetMo
     validate(CLAccessor(_target), _reference);
 }
 TEST_SUITE_END() // QASYMM8
+
+TEST_SUITE(QASYMM8_SIGNED)
+FIXTURE_DATA_TEST_CASE(RunSmall, CLPaddingFixture<int8_t>, framework::DatasetMode::PRECOMMIT,
+                       combine(combine(combine(datasets::Small3DShapes(), framework::dataset::make("DataType", { DataType::QASYMM8_SIGNED })), PaddingSizesDataset3D),
+                               framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT, PaddingMode::REFLECT })))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference);
+}
+TEST_SUITE_END() // QASYMM8_SIGNED
+
 TEST_SUITE_END() // Quantized
 
 TEST_SUITE_END() // PadLayer