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-rw-r--r--arm_compute/core/CL/kernels/CLBatchConcatenateLayerKernel.h6
-rw-r--r--arm_compute/core/CL/kernels/CLBatchToSpaceLayerKernel.h10
-rw-r--r--arm_compute/core/CL/kernels/CLChannelShuffleLayerKernel.h6
-rw-r--r--arm_compute/core/CL/kernels/CLCol2ImKernel.h6
-rw-r--r--arm_compute/core/CL/kernels/CLDeconvolutionReshapeOutputKernel.h6
-rw-r--r--arm_compute/core/CL/kernels/CLDepthConcatenateLayerKernel.h6
-rw-r--r--arm_compute/core/CL/kernels/CLDepthwiseConvolutionLayerReshapeWeightsKernel.h6
-rw-r--r--arm_compute/core/CL/kernels/CLFillBorderKernel.h4
-rw-r--r--arm_compute/core/CL/kernels/CLFlattenLayerKernel.h6
-rw-r--r--arm_compute/core/CL/kernels/CLGEMMReshapeLHSMatrixKernel.h6
-rw-r--r--arm_compute/core/CL/kernels/CLGatherKernel.h6
-rw-r--r--arm_compute/core/CL/kernels/CLHeightConcatenateLayerKernel.h6
-rw-r--r--arm_compute/core/CL/kernels/CLIm2ColKernel.h6
-rw-r--r--arm_compute/core/CL/kernels/CLMemsetKernel.h6
-rw-r--r--arm_compute/core/CL/kernels/CLPadLayerKernel.h6
-rw-r--r--arm_compute/core/CL/kernels/CLPermuteKernel.h6
-rw-r--r--arm_compute/core/CL/kernels/CLQuantizationLayerKernel.h6
-rw-r--r--arm_compute/core/CL/kernels/CLROIAlignLayerKernel.h10
-rw-r--r--arm_compute/core/CL/kernels/CLReorgLayerKernel.h6
-rw-r--r--arm_compute/core/CL/kernels/CLReshapeLayerKernel.h6
-rw-r--r--arm_compute/core/CL/kernels/CLReverseKernel.h6
-rw-r--r--arm_compute/core/CL/kernels/CLScaleKernel.h6
-rw-r--r--arm_compute/core/CL/kernels/CLSelectKernel.h6
-rw-r--r--arm_compute/core/CL/kernels/CLSpaceToBatchLayerKernel.h10
-rw-r--r--arm_compute/core/CL/kernels/CLSpaceToDepthLayerKernel.h6
-rw-r--r--arm_compute/core/CL/kernels/CLStackLayerKernel.h6
-rw-r--r--arm_compute/core/CL/kernels/CLStridedSliceKernel.h6
-rw-r--r--arm_compute/core/CL/kernels/CLTileKernel.h6
-rw-r--r--arm_compute/core/CL/kernels/CLTransposeKernel.h6
-rw-r--r--arm_compute/core/CL/kernels/CLUpsampleLayerKernel.h6
-rw-r--r--arm_compute/core/CL/kernels/CLWidthConcatenate2TensorsKernel.h6
-rw-r--r--arm_compute/core/CL/kernels/CLWidthConcatenate4TensorsKernel.h6
-rw-r--r--arm_compute/core/CL/kernels/CLWidthConcatenateLayerKernel.h6
33 files changed, 104 insertions, 104 deletions
diff --git a/arm_compute/core/CL/kernels/CLBatchConcatenateLayerKernel.h b/arm_compute/core/CL/kernels/CLBatchConcatenateLayerKernel.h
index c4230ba41b..3711617959 100644
--- a/arm_compute/core/CL/kernels/CLBatchConcatenateLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLBatchConcatenateLayerKernel.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2019 ARM Limited.
+ * Copyright (c) 2019-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -52,7 +52,7 @@ public:
~CLBatchConcatenateLayerKernel() = default;
/** Initialise the kernel's inputs and output
*
- * @param[in] input Input tensor. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32.
+ * @param[in] input Input tensor. Data types supported: All.
* @param[in] batch_offset The offset on axis # 3.
* @param[in,out] output Output tensor. Data types supported: Same as @p input.
*
@@ -63,7 +63,7 @@ public:
void configure(const ICLTensor *input, unsigned int batch_offset, ICLTensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref CLBatchConcatenateLayerKernel
*
- * @param[in] input Input tensor info. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * @param[in] input Input tensor info. Data types supported: All.
* @param[in] batch_offset The offset on axis # 3.
* @param[in] output Output tensor info. Data types supported: Same as @p input.
*
diff --git a/arm_compute/core/CL/kernels/CLBatchToSpaceLayerKernel.h b/arm_compute/core/CL/kernels/CLBatchToSpaceLayerKernel.h
index 4310cab063..21197c26d0 100644
--- a/arm_compute/core/CL/kernels/CLBatchToSpaceLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLBatchToSpaceLayerKernel.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2019 ARM Limited.
+ * Copyright (c) 2018-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -49,14 +49,14 @@ public:
~CLBatchToSpaceLayerKernel() = default;
/** Initialise the kernel's inputs and output.
*
- * @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[in] block_shape 1-D tensor with shape [M]. Data types supported: S32
* @param[out] output Tensor output. Data types supported: same as @p input
*/
void configure(const ICLTensor *input, const ICLTensor *block_shape, ICLTensor *output);
/** Initialise the kernel's inputs and output (Static block shape).
*
- * @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[in] block_shape_x Block shape x value.
* @param[in] block_shape_y Block shape y value.
* @param[out] output Tensor output. Data types supported: same as @p input
@@ -64,7 +64,7 @@ public:
void configure(const ICLTensor *input, const int32_t block_shape_x, const int32_t block_shape_y, ICLTensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref CLBatchToSpaceLayerKernel
*
- * @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[in] block_shape 1-D tensor with shape [M]. Data types supported: S32
* @param[in] output Tensor output. Data types supported: same as @p input
*
@@ -73,7 +73,7 @@ public:
static Status validate(const ITensorInfo *input, const ITensorInfo *block_shape, const ITensorInfo *output);
/** Static function to check if given info will lead to a valid configuration of @ref CLBatchToSpaceLayerKernel (Static block shape).
*
- * @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[in] block_shape_x Block shape x value.
* @param[in] block_shape_y Block shape y value.
* @param[in] output Tensor output. Data types supported: same as @p input
diff --git a/arm_compute/core/CL/kernels/CLChannelShuffleLayerKernel.h b/arm_compute/core/CL/kernels/CLChannelShuffleLayerKernel.h
index 8ba66edafc..7e6589e8c0 100644
--- a/arm_compute/core/CL/kernels/CLChannelShuffleLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLChannelShuffleLayerKernel.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2019 ARM Limited.
+ * Copyright (c) 2018-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -48,14 +48,14 @@ public:
~CLChannelShuffleLayerKernel() = default;
/** Configure function's inputs and outputs.
*
- * @param[in] input Input tensor. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * @param[in] input Input tensor. Data types supported: All.
* @param[out] output Output tensor. Data type supported: Same as @p input
* @param[in] num_groups Number of groups. Must be greater than 1 and the number of channels of the tensors must be a multiple of the number of groups.
*/
void configure(const ICLTensor *input, ICLTensor *output, unsigned int num_groups);
/** Static function to check if given info will lead to a valid configuration of @ref CLChannelShuffleLayerKernel
*
- * @param[in] input Input tensor info. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * @param[in] input Input tensor info. Data types supported: All.
* @param[in] output Output tensor info. Data type supported: Same as @p input
* @param[in] num_groups Number of groups. Must be greater than 1 and the number of channels of the tensors must be a multiple of the number of groups.
*
diff --git a/arm_compute/core/CL/kernels/CLCol2ImKernel.h b/arm_compute/core/CL/kernels/CLCol2ImKernel.h
index 8b3565bdb0..b22c666a6b 100644
--- a/arm_compute/core/CL/kernels/CLCol2ImKernel.h
+++ b/arm_compute/core/CL/kernels/CLCol2ImKernel.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017-2019 ARM Limited.
+ * Copyright (c) 2017-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -65,7 +65,7 @@ public:
~CLCol2ImKernel() = default;
/** Set the input and output of the kernel.
*
- * @param[in] input The input tensor to convert. Data types supported: QASYMM8/F16/F32
+ * @param[in] input The input tensor to convert. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32
* @param[out] output The output tensor. 3 lower dimensions represent a single output [width, height, OFM],
* while the rest represent batch of outputs. Data types supported: Same as @p input. Data layout: NCHW
* @param[in] convolved_dims Output convolved dimensions.
@@ -74,7 +74,7 @@ public:
void configure(const ICLTensor *input, ICLTensor *output, const Size2D &convolved_dims, unsigned int num_groups = 1);
/** Static function to check if given info will lead to a valid configuration of @ref CLCol2ImKernel
*
- * @param[in] input The input tensor to convert. Data types supported: QASYMM8/F16/F32
+ * @param[in] input The input tensor to convert. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32
* @param[in] output The output tensor. 3 lower dimensions represent a single output [width, height, OFM],
* while the rest represent batch of outputs. Data types supported: Same as @p input. Data layout: NCHW
* @param[in] convolved_dims Output convolved dimensions.
diff --git a/arm_compute/core/CL/kernels/CLDeconvolutionReshapeOutputKernel.h b/arm_compute/core/CL/kernels/CLDeconvolutionReshapeOutputKernel.h
index cbc368fef9..6c90bd6c7f 100644
--- a/arm_compute/core/CL/kernels/CLDeconvolutionReshapeOutputKernel.h
+++ b/arm_compute/core/CL/kernels/CLDeconvolutionReshapeOutputKernel.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2019 ARM Limited.
+ * Copyright (c) 2019-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -59,7 +59,7 @@ public:
/** Initialise the kernel's source and destination.
*
- * @param[in] input Input tensor. Supported data types: F16/F32.
+ * @param[in] input Input tensor. Supported data types: QASYMM8/QASYMM8_SIGNED/S32/F16/F32.
* @param[in] bias Bias tensor to be added directly during the reshape operation. Supported data types: same as @p input. Supported data layouts: same as @p input.
* @param[out] output Output tensor with the following shape: [stride_x * (input_width - 1) + filter_width - 2 * padx, stride_y * (input_height - 1) + filter_height - 2 * pady, ofms, batch_size]
* Supported data types: same as @p input. Supported data layouts: same as @p input.
@@ -71,7 +71,7 @@ public:
/** Static function to check if given info will lead to a valid configuration of @ref CLDeconvolutionReshapeOutputKernel.
*
- * @param[in] input GEMM output tensor info to be reshaped. Supported data types: F16/F32.
+ * @param[in] input GEMM output tensor info to be reshaped. Supported data types: QASYMM8/QASYMM8_SIGNED/S32/F16/F32.
* @param[in] bias (Optional) Optional bias tensor info to be added directly during the reshape operation. Supported data types: same as @p input. Supported data layouts: same as @p input.
* @param[in] output Reshaped output tensor info. Supported data types: same as @p input. Supported data layouts: same as @p input.
* @param[in] input_info Original input tensor info. Supported data types: same as @p input. Supported data layouts: same as @p input.
diff --git a/arm_compute/core/CL/kernels/CLDepthConcatenateLayerKernel.h b/arm_compute/core/CL/kernels/CLDepthConcatenateLayerKernel.h
index ae15354d13..e55dd5dee8 100644
--- a/arm_compute/core/CL/kernels/CLDepthConcatenateLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLDepthConcatenateLayerKernel.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017-2019 ARM Limited.
+ * Copyright (c) 2017-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -52,7 +52,7 @@ public:
~CLDepthConcatenateLayerKernel() = default;
/** Initialise the kernel's inputs and output
*
- * @param[in] input Input tensor. Data types supported: QASYMM8/F16/F32.
+ * @param[in] input Input tensor. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
* @param[in] depth_offset The offset on the Z axis.
* @param[in,out] output Output tensor. Data types supported: Same as @p input.
*
@@ -63,7 +63,7 @@ public:
void configure(const ICLTensor *input, unsigned int depth_offset, ICLTensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref CLDepthConcatenateLayerKernel
*
- * @param[in] input Input tensor info. Data types supported: QASYMM8/F16/F32
+ * @param[in] input Input tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32
* @param[in] depth_offset The offset on the Z axis.
* @param[in] output Output tensor info. Data types supported: Same as @p input.
*
diff --git a/arm_compute/core/CL/kernels/CLDepthwiseConvolutionLayerReshapeWeightsKernel.h b/arm_compute/core/CL/kernels/CLDepthwiseConvolutionLayerReshapeWeightsKernel.h
index c5f94a52e0..f209629b11 100644
--- a/arm_compute/core/CL/kernels/CLDepthwiseConvolutionLayerReshapeWeightsKernel.h
+++ b/arm_compute/core/CL/kernels/CLDepthwiseConvolutionLayerReshapeWeightsKernel.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2019 ARM Limited.
+ * Copyright (c) 2019-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -47,7 +47,7 @@ public:
/** Initialize the function's source and destination.
*
- * @param[in] input The input tensor of dimension [IFM, W, H]. Data types supported: QASYMM8. Data layouts supported: NHWC
+ * @param[in] input The input tensor of dimension [IFM, W, H]. Data types supported: QASYMM8/QASYMM8_SIGNED. Data layouts supported: NHWC
* @param[out] output The output tensor of dimension [W*H*C0, ceil(IFM/C0)]. C0 is the number of channels read by each thread. Data types supported: same as @p weights.
* @param[in] info Depthwise convolution information to reshape the input tensor.
*/
@@ -55,7 +55,7 @@ public:
/** Static function to check if given info will lead to a valid configuration of @ref CLDepthwiseConvolutionLayer3x3NHWCKernel
*
- * @param[in] input The input tensor info of dimension [IFM, W, H]. Data types supported: QASYMM8. Data layouts supported: NHWC
+ * @param[in] input The input tensor info of dimension [IFM, W, H]. Data types supported: QASYMM8/QASYMM8_SIGNED. Data layouts supported: NHWC
* @param[in] output The output tensor info of dimension [W*H*C0, ceil(IFM/C0)]. C0 is the number of channels read by each thread. Data types supported: same as @p weights.
* @param[in] info Depthwise convolution information to reshape the input tensor.
*
diff --git a/arm_compute/core/CL/kernels/CLFillBorderKernel.h b/arm_compute/core/CL/kernels/CLFillBorderKernel.h
index 6a16bbef4c..36f54c54d4 100644
--- a/arm_compute/core/CL/kernels/CLFillBorderKernel.h
+++ b/arm_compute/core/CL/kernels/CLFillBorderKernel.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2016-2019 ARM Limited.
+ * Copyright (c) 2016-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -51,7 +51,7 @@ public:
/** Initialise the kernel's input, output and border mode.
*
- * @param[in,out] tensor Tensor to process Data types supported: U8/S16/S32/F16/F32.
+ * @param[in,out] tensor Tensor to process Data types supported: U8/QASYMM8/S8/QASYMM8_SIGNED/U16/S16/U32/S32/F16/F32.
* @param[in] border_size Size of the border to fill in elements.
* @param[in] border_mode Border mode to use for the convolution.
* @param[in] constant_border_value (Optional) Constant value to use for borders if border_mode is set to CONSTANT.
diff --git a/arm_compute/core/CL/kernels/CLFlattenLayerKernel.h b/arm_compute/core/CL/kernels/CLFlattenLayerKernel.h
index 62d01f072e..1b7fdcc54f 100644
--- a/arm_compute/core/CL/kernels/CLFlattenLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLFlattenLayerKernel.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2019 ARM Limited.
+ * Copyright (c) 2018-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -47,7 +47,7 @@ public:
/** Set the input and output of the kernel.
*
* @param[in] input First input tensor to flatten with at least 3 dimensions.
- * The dimensions above the third will be interpreted as batches. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * The dimensions above the third will be interpreted as batches. Data types supported: All.
* @param[out] output Output tensor with shape [w*h*d, input_batches] where:
* w = width input tensor, h = height input tensor and d = depth input tensor. Data type supported: same as @p input
*/
@@ -55,7 +55,7 @@ public:
/** Static function to check if given info will lead to a valid configuration of @ref CLFlattenLayerKernel
*
* @param[in] input First input tensor to flatten with at least 3 dimensions.
- * The dimensions above the third will be interpreted as batches. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * The dimensions above the third will be interpreted as batches. Data types supported: All.
* @param[out] output Output tensor with shape [w*h*d, input_batches] where:
* w = width input tensor, h = height input tensor and d = depth input tensor. Data type supported: same as @p input
*
diff --git a/arm_compute/core/CL/kernels/CLGEMMReshapeLHSMatrixKernel.h b/arm_compute/core/CL/kernels/CLGEMMReshapeLHSMatrixKernel.h
index 7a92deabbf..7955b95b9a 100644
--- a/arm_compute/core/CL/kernels/CLGEMMReshapeLHSMatrixKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMReshapeLHSMatrixKernel.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2019 ARM Limited.
+ * Copyright (c) 2018-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -49,7 +49,7 @@ public:
CLGEMMReshapeLHSMatrixKernel &operator=(CLGEMMReshapeLHSMatrixKernel &&) = default;
/** Initialise the kernel's input and output.
*
- * @param[in] input Input tensor. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * @param[in] input Input tensor. Data types supported: All
* @param[out] output Output tensor. Data type supported: same as @p input
* @param[in] lhs_info LHS matrix information to be used for reshaping. This object contains all the necessary
* information to reshape the input tensor. Only the following values are supported:
@@ -63,7 +63,7 @@ public:
void configure(const ICLTensor *input, ICLTensor *output, const GEMMLHSMatrixInfo &lhs_info, bool reinterpret_input_as_3d = false);
/** Static function to check if given info will lead to a valid configuration of @ref CLGEMMReshapeLHSMatrixKernel
*
- * @param[in] input Input tensor info. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * @param[in] input Input tensor info. Data types supported: All
* @param[in] output Output tensor info which stores the interleaved matrix. Data type supported: same as @p input.
* @param[in] lhs_info LHS matrix information to be used for reshaping. This object contains all the necessary
* information to reshape the input tensor. Only the following values are supported:
diff --git a/arm_compute/core/CL/kernels/CLGatherKernel.h b/arm_compute/core/CL/kernels/CLGatherKernel.h
index 9bb1b26f79..937d744108 100644
--- a/arm_compute/core/CL/kernels/CLGatherKernel.h
+++ b/arm_compute/core/CL/kernels/CLGatherKernel.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2019 ARM Limited.
+ * Copyright (c) 2018-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -49,7 +49,7 @@ public:
~CLGatherKernel() = default;
/** Initialise the kernel's inputs and outputs
*
- * @param[in] input Source tensor. Supported tensor rank: up to 4. Data type supported: U8/S8/QASYMM8/U16/S16/U32/S32/F16/F32
+ * @param[in] input Source tensor. Supported tensor rank: up to 4. Data type supported: All.
* @param[in] indices Indices tensor. Supported tensor rank: up to 1. Must be one of the following types: U32/S32. Each value must be in range [0, input.shape[@p axis])
* @param[out] output Destination tensor. Data type supported: Same as @p input
* @param[in] axis (Optional) The axis in @p input to gather @p indices from. Negative values wrap around. Defaults to 0
@@ -58,7 +58,7 @@ public:
/** Static function to check if given info will lead to a valid configuration of @ref CLGatherKernel
*
- * @param[in] input Source tensor info. Supported tensor rank: up to 4. Data type supported: U8/S8/QASYMM8/U16/S16/U32/S32/F16/F32
+ * @param[in] input Source tensor info. Supported tensor rank: up to 4. Data type supported: All.
* @param[in] indices Indices tensor info. Supported tensor rank: up to 4. Must be one of the following types: U32/S32. Each value must be in range [0, input.shape[@p axis])
* @param[in] output Destination tensor info. Data type supported: Same as @p input
* @param[in] axis (Optional) The axis in @p input to gather @p indices from. Negative values wrap around. Defaults to 0
diff --git a/arm_compute/core/CL/kernels/CLHeightConcatenateLayerKernel.h b/arm_compute/core/CL/kernels/CLHeightConcatenateLayerKernel.h
index 6dc5379143..5828280dc1 100644
--- a/arm_compute/core/CL/kernels/CLHeightConcatenateLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLHeightConcatenateLayerKernel.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2019 ARM Limited.
+ * Copyright (c) 2019-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -52,7 +52,7 @@ public:
~CLHeightConcatenateLayerKernel() = default;
/** Initialise the kernel's inputs and output
*
- * @param[in] input Input tensor. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * @param[in] input Input tensor. Data types supported: All.
* @param[in] height_offset The starting offset on the Y axis for the output tensor.
* @param[out] output Output tensor. Data types supported: Same as @p input.
*
@@ -60,7 +60,7 @@ public:
void configure(const ICLTensor *input, unsigned int height_offset, ICLTensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref CLHeightConcatenateLayerKernel
*
- * @param[in] input Input tensor info. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * @param[in] input Input tensor info. Data types supported: All.
* @param[in] height_offset The starting offset on the Y axis for the output tensor.
* @param[in] output Output tensor info. Data types supported: Same as @p input.
*
diff --git a/arm_compute/core/CL/kernels/CLIm2ColKernel.h b/arm_compute/core/CL/kernels/CLIm2ColKernel.h
index 6d7db67f4d..dc95b903bd 100644
--- a/arm_compute/core/CL/kernels/CLIm2ColKernel.h
+++ b/arm_compute/core/CL/kernels/CLIm2ColKernel.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017-2019 ARM Limited.
+ * Copyright (c) 2017-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -69,7 +69,7 @@ public:
/** Set the input and output of the kernel.
*
* @param[in] input The input tensor to convert. 3 lower dimensions represent a single input [width, height, IFM],
- * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QASYMM8/F16/F32
+ * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32
* @param[out] output The output tensor. First 2 lower dimensions represent a transform of each 3D input,
* while every dimension above represents a batch. Data types supported: Same as @p input
* @param[in] kernel_dims The kernel dimensions (width and height).
@@ -83,7 +83,7 @@ public:
/** Static function to check if given info will lead to a valid configuration of @ref CLIm2ColKernel
*
* @param[in] input The input tensor to convert. 3 lower dimensions represent a single input [width, height, IFM],
- * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QASYMM8/F16/F32
+ * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32
* @param[in] output The output tensor. First 2 lower dimensions represent a transform of each 3D input,
* while every dimension above represents a batch. Data types supported: Same as @p input
* @param[in] kernel_dims The kernel dimensions (width and height).
diff --git a/arm_compute/core/CL/kernels/CLMemsetKernel.h b/arm_compute/core/CL/kernels/CLMemsetKernel.h
index d5ffb656be..3e1eadfbbd 100644
--- a/arm_compute/core/CL/kernels/CLMemsetKernel.h
+++ b/arm_compute/core/CL/kernels/CLMemsetKernel.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2019 ARM Limited.
+ * Copyright (c) 2018-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -51,14 +51,14 @@ public:
/** Initialise the kernel's tensor and filling value
*
- * @param[in,out] tensor Input tensor to fill. Supported data types: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * @param[in,out] tensor Input tensor to fill. Supported data types: All.
* @param[in] constant_value The value used to fill the planes of the tensor
* @param[in] window Window to be used in case setting only part of a tensor. Default is nullptr.
*/
void configure(ICLTensor *tensor, const PixelValue &constant_value, Window *window = nullptr);
/** Static function to check if given info will lead to a valid configuration of @ref CLMemsetKernel
*
- * @param[in] tensor Source tensor info. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * @param[in] tensor Source tensor info. Data types supported: All.
* @param[in] constant_value The value used to fill the planes of the tensor
* @param[in] window Window to be used in case setting only part of a tensor. Default is nullptr.
*
diff --git a/arm_compute/core/CL/kernels/CLPadLayerKernel.h b/arm_compute/core/CL/kernels/CLPadLayerKernel.h
index b05b4f83bd..6865ae6524 100644
--- a/arm_compute/core/CL/kernels/CLPadLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLPadLayerKernel.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2019 ARM Limited.
+ * Copyright (c) 2019-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -49,7 +49,7 @@ public:
~CLPadLayerKernel() = default;
/** Set the input and output tensor.
*
- * @param[in] input Source tensor. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32.
+ * @param[in] input Source tensor. Data types supported: All.
* @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.
@@ -60,7 +60,7 @@ public:
void configure(const ICLTensor *input, ICLTensor *output, const PaddingList &padding, PixelValue constant_value = PixelValue(), 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: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32.
+ * @param[in] input Source tensor info. Data types supported: All.
* @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/arm_compute/core/CL/kernels/CLPermuteKernel.h b/arm_compute/core/CL/kernels/CLPermuteKernel.h
index 28e755aa79..bc51f105f5 100644
--- a/arm_compute/core/CL/kernels/CLPermuteKernel.h
+++ b/arm_compute/core/CL/kernels/CLPermuteKernel.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2019 ARM Limited.
+ * Copyright (c) 2018-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -51,7 +51,7 @@ public:
*
* @note Arbitrary permutation vectors are supported with rank not greater than 4
*
- * @param[in] input The input tensor to permute. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * @param[in] input The input tensor to permute. Data types supported: All.
* @param[in] output The output tensor. Data types supported: Same as @p input
* @param[in] perm Permutation vector
*/
@@ -60,7 +60,7 @@ public:
*
* @note Arbitrary permutation vectors are supported with rank not greater than 4
*
- * @param[in] input First tensor input info. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32.
+ * @param[in] input First tensor input info. Data types supported: All.
* @param[in] output Output tensor info. Data types supported: same as @p input.
* @param[in] perm Permutation vector
*
diff --git a/arm_compute/core/CL/kernels/CLQuantizationLayerKernel.h b/arm_compute/core/CL/kernels/CLQuantizationLayerKernel.h
index 2a6944d031..4e487cd57b 100644
--- a/arm_compute/core/CL/kernels/CLQuantizationLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLQuantizationLayerKernel.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017-2019 ARM Limited.
+ * Copyright (c) 2017-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -52,7 +52,7 @@ public:
/** Set the input, output.
*
* @param[in] input Source tensor. Data types supported: F32/F16.
- * @param[out] output Destination tensor with the same dimensions of input. Data types supported: QASYMM8/QASYMM16.
+ * @param[out] output Destination tensor with the same dimensions of input. Data types supported: QASYMM8/QASYMM8_SIGNED/QASYMM16.
*
* @note Output auto initialization is not supported by this kernel
*/
@@ -60,7 +60,7 @@ public:
/** Static function to check if given info will lead to a valid configuration of @ref CLQuantizationLayerKernel
*
* @param[in] input Input tensor info. Data types supported: F32/F16.
- * @param[in] output Destination tensor info with the same dimensions of input. Data types supported: QASYMM8/QASYMM16.
+ * @param[in] output Destination tensor info with the same dimensions of input. Data types supported: QASYMM8/QASYMM8_SIGNED/QASYMM16.
*
* @return a status
*/
diff --git a/arm_compute/core/CL/kernels/CLROIAlignLayerKernel.h b/arm_compute/core/CL/kernels/CLROIAlignLayerKernel.h
index 46a91374f5..8dc7e4d3fc 100644
--- a/arm_compute/core/CL/kernels/CLROIAlignLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLROIAlignLayerKernel.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2019 ARM Limited.
+ * Copyright (c) 2018-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -51,10 +51,10 @@ public:
/** Set the input and output tensors.
*
- * @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] rois ROIs tensor, it is a 2D tensor of size [5, N] (where N is the number of ROIs) containing top left and bottom right corner
* as coordinate of an image and batch_id of ROI [ batch_id, x1, y1, x2, y2 ].
- * Data types supported: QASYMM16 with scale of 0.125 and 0 offset if @p input is QASYMM8, otherwise same as @p input
+ * Data types supported: QASYMM16 with scale of 0.125 and 0 offset if @p input is QASYMM8/QASYMM8_SIGNED, otherwise same as @p input
* @param[out] output Destination tensor. Data types supported: Same as @p input.
* @param[in] pool_info Contains pooling operation information described in @ref ROIPoolingLayerInfo.
*
@@ -66,8 +66,8 @@ public:
void configure(const ICLTensor *input, const ICLTensor *rois, ICLTensor *output, const ROIPoolingLayerInfo &pool_info);
/** Static function to check if given info will lead to a valid configuration of @ref CLROIAlignLayerKernel
*
- * @param[in] input Source tensor info. Data types supported: QASYMM8/F16/F32.
- * @param[in] rois ROIs tensor info. Data types supported: QASYMM16 with scale of 0.125 and 0 offset if @p input is QASYMM8,
+ * @param[in] input Source tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
+ * @param[in] rois ROIs tensor info. Data types supported: QASYMM16 with scale of 0.125 and 0 offset if @p input is QASYMM8/QASYMM8_SIGNED,
* otherwise same as @p input
* @param[in] output Destination tensor info. Data types supported: Same as @p input.
* @param[in] pool_info Contains pooling operation information described in @ref ROIPoolingLayerInfo.
diff --git a/arm_compute/core/CL/kernels/CLReorgLayerKernel.h b/arm_compute/core/CL/kernels/CLReorgLayerKernel.h
index 6026df949a..c1bbb0a2ce 100644
--- a/arm_compute/core/CL/kernels/CLReorgLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLReorgLayerKernel.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2019 ARM Limited.
+ * Copyright (c) 2018-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -47,7 +47,7 @@ public:
CLReorgLayerKernel &operator=(CLReorgLayerKernel &&) = default;
/** Initialize the kernel's input, output.
*
- * @param[in] input Source tensor. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32.
+ * @param[in] input Source tensor. Data types supported: U8/S8/QASYMM8/QASYMM8_SIGNED/U16/S16/F16/U32/S32/F32.
* @param[out] output Destination tensor with tensor shape:
* [width_input / stride, height_input / stride, channels_input * stride * stride, batch_size]. This means the output has
* the same number of input elements. Data types supported: same as @p input.
@@ -57,7 +57,7 @@ public:
void configure(const ICLTensor *input, ICLTensor *output, int32_t stride);
/** Static function to check if given info will lead to a valid configuration of @ref CLReorgLayerKernel
*
- * @param[in] input Source tensor. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32.
+ * @param[in] input Source tensor. Data types supported: All.
* @param[in] output Destination tensor with tensor shape:
* [width_input / stride, height_input / stride, channels_input * stride * stride, batch_size]. This means the output has
* the same number of input elements. Data types supported: same as @p input. Data types supported: same as @p input.
diff --git a/arm_compute/core/CL/kernels/CLReshapeLayerKernel.h b/arm_compute/core/CL/kernels/CLReshapeLayerKernel.h
index 90ace2dc7a..77aedf32cc 100644
--- a/arm_compute/core/CL/kernels/CLReshapeLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLReshapeLayerKernel.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017-2019 ARM Limited.
+ * Copyright (c) 2017-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -49,14 +49,14 @@ public:
~CLReshapeLayerKernel() = default;
/** Set the input and output of the kernel
*
- * @param[in] input Source tensor. Data type supported: U8/S8/QASYMM8/U16/S16/U32/S32/F16/F32
+ * @param[in] input Source tensor. Data type supported: All.
* @param[out] output Destination tensor. Data type supported: Same as @p input
*/
void configure(const ICLTensor *input, ICLTensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref CLReshapeLayerKernel
*
- * @param[in] input Source tensor info. Data type supported: U8/S8/QASYMM8/U16/S16/U32/S32/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
*
* @return a status
diff --git a/arm_compute/core/CL/kernels/CLReverseKernel.h b/arm_compute/core/CL/kernels/CLReverseKernel.h
index 9c562980ed..c8d10f7ace 100644
--- a/arm_compute/core/CL/kernels/CLReverseKernel.h
+++ b/arm_compute/core/CL/kernels/CLReverseKernel.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2019 ARM Limited.
+ * Copyright (c) 2018-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -48,7 +48,7 @@ public:
~CLReverseKernel() = default;
/** Initialise the kernel's inputis and output
*
- * @param[in] input Input tensor. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * @param[in] input Input tensor. Data types supported: All.
* @param[out] output Output tensor. Data type supported: Same as @p input
* @param[in] axis Axis tensor. Contains the indices of the dimensions to reverse. Data type supported: U32
*/
@@ -56,7 +56,7 @@ public:
/** Static function to check if given info will lead to a valid configuration of @ref CLReverseKernel
*
- * @param[in] input Input tensor info. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * @param[in] input Input tensor info. Data types supported: All.
* @param[in] output Output tensor info. Data type supported: Same as @p input
* @param[in] axis Axis tensor info. Contains the indices of the dimensions to reverse. Data type supported: U32
*
diff --git a/arm_compute/core/CL/kernels/CLScaleKernel.h b/arm_compute/core/CL/kernels/CLScaleKernel.h
index 4f8a3f0a07..7d9ed41305 100644
--- a/arm_compute/core/CL/kernels/CLScaleKernel.h
+++ b/arm_compute/core/CL/kernels/CLScaleKernel.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2016-2019 ARM Limited.
+ * Copyright (c) 2016-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -37,7 +37,7 @@ class CLScaleKernel : public ICLSimple2DKernel
public:
/** Initialise the kernel's inputs, output and interpolation policy
*
- * @param[in] input Source tensor. Data types supported: U8/QASYMM8/S16/F16/F32
+ * @param[in] input Source tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/F16/F32
* @param[out] output Destination tensor. Data types supported: Same as @p input
* All but the lowest two dimensions must be the same size as in the input tensor, i.e. scaling is only performed within the XY-plane.
* @param[in] policy Interpolation type to use
@@ -48,7 +48,7 @@ public:
/** Static function to check if given info will lead to a valid configuration of @ref CLScaleKernel
*
- * @param[in] input Source tensor info. Data types supported: U8/QASYMM8/S16/F16/F32
+ * @param[in] input Source tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/F16/F32
* @param[in] output Destination tensor info. Data types supported: Same as @p input
* All but the lowest two dimensions must be the same size as in the input tensor, i.e. scaling is only performed within the XY-plane.
* @param[in] policy Interpolation type to use
diff --git a/arm_compute/core/CL/kernels/CLSelectKernel.h b/arm_compute/core/CL/kernels/CLSelectKernel.h
index 744cabd5eb..be43add843 100644
--- a/arm_compute/core/CL/kernels/CLSelectKernel.h
+++ b/arm_compute/core/CL/kernels/CLSelectKernel.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2019 ARM Limited.
+ * Copyright (c) 2018-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -55,7 +55,7 @@ public:
/** Initialise the kernel's inputs and output.
*
* @param[in] c Condition input tensor. Data types supported: U8.
- * @param[in] x First input tensor. Data types supported: U8/S8/QASYMM8/U16/S16/U32/S32/F16/F32.
+ * @param[in] x First input tensor. Data types supported: All.
* @param[out] y Second input tensor. Data types supported: Same as @p x
* @param[in] output Output tensor. Data types supported: Same as @p x.
*/
@@ -63,7 +63,7 @@ public:
/** Static function to check if given info will lead to a valid configuration of @ref CLSelectKernel
*
* @param[in] c Condition input tensor. Data types supported: U8.
- * @param[in] x First input tensor. Data types supported: U8/S8/QASYMM8/U16/S16/U32/S32/F16/F32.
+ * @param[in] x First input tensor. Data types supported: All.
* @param[in] y Second input tensor. Data types supported: Same as @p x
* @param[in] output Output tensor. Data types supported: Same as @p x.
*
diff --git a/arm_compute/core/CL/kernels/CLSpaceToBatchLayerKernel.h b/arm_compute/core/CL/kernels/CLSpaceToBatchLayerKernel.h
index 5ac18be34a..6295430d40 100644
--- a/arm_compute/core/CL/kernels/CLSpaceToBatchLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLSpaceToBatchLayerKernel.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2019 ARM Limited.
+ * Copyright (c) 2018-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -49,7 +49,7 @@ public:
~CLSpaceToBatchLayerKernel() = default;
/** Initialise the kernel's inputs and output.
*
- * @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[in] block_shape 1-D tensor with shape [M]. Data types supported: S32
* @param[in] paddings 2-D tensor with shape [2, M]. Data types supported: S32
* @param[out] output Tensor output. Data types supported: same as @p input
@@ -57,7 +57,7 @@ public:
void configure(const ICLTensor *input, const ICLTensor *block_shape, const ICLTensor *paddings, ICLTensor *output);
/** Initialise the kernel's input and output. (Static block shape and paddings)
*
- * @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[in] block_shape_x Block shape x value.
* @param[in] block_shape_y Block shape y value.
* @param[in] padding_left The left padding of the output tensor.
@@ -67,7 +67,7 @@ public:
void configure(const ICLTensor *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left, const Size2D &padding_right, ICLTensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref CLSpaceToBatchLayerKernel
*
- * @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[in] block_shape 1-D tensor with shape [M]. Data types supported: S32
* @param[in] paddings 2-D tensor with shape [2, M]. Data types supported: S32
* @param[in] output Tensor output. Data types supported: same as @p input
@@ -77,7 +77,7 @@ public:
static Status validate(const ITensorInfo *input, const ITensorInfo *block_shape, const ITensorInfo *paddings, const ITensorInfo *output);
/** Static function to check if given info will lead to a valid configuration of @ref CLSpaceToBatchLayerKernel (Static block shape and paddings)
*
- * @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[in] block_shape_x Block shape x value.
* @param[in] block_shape_y Block shape y value.
* @param[in] padding_left The left padding of the output tensor.
diff --git a/arm_compute/core/CL/kernels/CLSpaceToDepthLayerKernel.h b/arm_compute/core/CL/kernels/CLSpaceToDepthLayerKernel.h
index c571f88213..085c337627 100644
--- a/arm_compute/core/CL/kernels/CLSpaceToDepthLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLSpaceToDepthLayerKernel.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2019 ARM Limited.
+ * Copyright (c) 2019-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -49,14 +49,14 @@ public:
~CLSpaceToDepthLayerKernel() = default;
/** Initialise the kernel's inputs and output.
*
- * @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 CLSpaceToDepthLayerKernel.
*
- * @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.
*
diff --git a/arm_compute/core/CL/kernels/CLStackLayerKernel.h b/arm_compute/core/CL/kernels/CLStackLayerKernel.h
index 73774e2392..073c896035 100644
--- a/arm_compute/core/CL/kernels/CLStackLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLStackLayerKernel.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2019 ARM Limited.
+ * Copyright (c) 2018-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -52,7 +52,7 @@ public:
*
* @note Supported input tensor rank: up to 4
*
- * @param[in] input Input tensor. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * @param[in] input Input tensor. Data types supported: All.
* @param[in] axis The dimension to stack the tensors along. It must be smaller than the number of input dimensions.
* @param[in] idx_input Index of the input tensor in the list of tensors to stack.
* All tensors in the list must have the same shape
@@ -65,7 +65,7 @@ public:
*
* @note Supported input tensor rank: up to 4
*
- * @param[in] input Input tensor info. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * @param[in] input Input tensor info. Data types supported: All.
* @param[in] axis The dimension to stack the tensors along. It must be smaller than the number of input dimensions.
* @param[in] idx_input Index of the input tensor in the list of tensors to stack
* All tensors in the list must have the same shape
diff --git a/arm_compute/core/CL/kernels/CLStridedSliceKernel.h b/arm_compute/core/CL/kernels/CLStridedSliceKernel.h
index 061aff8100..3bcabaf5e0 100644
--- a/arm_compute/core/CL/kernels/CLStridedSliceKernel.h
+++ b/arm_compute/core/CL/kernels/CLStridedSliceKernel.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2019 ARM Limited.
+ * Copyright (c) 2018-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -54,7 +54,7 @@ public:
*
* @note Supported tensor rank: up to 4
*
- * @param[in] input Source tensor. Data type supported: U8/S8/QASYMM8/U16/S16/QASYMM16/QSYMM16/U32/S32/F16/F32
+ * @param[in] input Source tensor. Data type supported: All.
* @param[out] output Destination tensor. Data type supported: Same as @p input
* @param[in] starts The starts of the dimensions of the input tensor to be sliced. The length must be of rank(input).
* @param[in] ends The ends of the dimensions of the input tensor to be sliced. The length must be of rank(input).
@@ -72,7 +72,7 @@ public:
*
* @note Supported tensor rank: up to 4
*
- * @param[in] input Source tensor. Data type supported: U8/S8/QASYMM8/U16/S16/QASYMM16/QSYMM16/U32/S32/F16/F32
+ * @param[in] input Source tensor. Data type supported: All.
* @param[in] output Destination tensor. Data type supported: Same as @p input
* @param[in] starts The starts of the dimensions of the input tensor to be sliced. The length must be of rank(input).
* @param[in] ends The ends of the dimensions of the input tensor to be sliced. The length must be of rank(input).
diff --git a/arm_compute/core/CL/kernels/CLTileKernel.h b/arm_compute/core/CL/kernels/CLTileKernel.h
index be96c001ba..2b0c4305cb 100644
--- a/arm_compute/core/CL/kernels/CLTileKernel.h
+++ b/arm_compute/core/CL/kernels/CLTileKernel.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2019 ARM Limited.
+ * Copyright (c) 2018-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -48,7 +48,7 @@ public:
~CLTileKernel() = default;
/** Set the source, destination of the kernel
*
- * @param[in] input Source tensor. Data type supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32.
+ * @param[in] input Source tensor. Data type supported: All.
* @param[in] multiples Contains the number of times the input tensor should be replicated on the given dimension.
* Cannot have more than 4 elements (tiling in dimensions greater than 4 is not supported).
* @param[out] output Destination tensor. Same as @p input
@@ -57,7 +57,7 @@ public:
void configure(const ICLTensor *input, ICLTensor *output, const Multiples &multiples);
/** Static function to check if given info will lead to a valid configuration of @ref CLTileKernel
*
- * @param[in] input Source tensor info. Data type supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32.
+ * @param[in] input Source tensor info. Data type supported: All.
* @param[in] multiples Contains the number of times the input tensor should be replicated on the given dimension.
* Cannot have more than 4 elements (tiling in dimensions greater than 4 is not supported).
* @param[in] output Destination tensor info. Same as @p input
diff --git a/arm_compute/core/CL/kernels/CLTransposeKernel.h b/arm_compute/core/CL/kernels/CLTransposeKernel.h
index 739df432c6..0adebde398 100644
--- a/arm_compute/core/CL/kernels/CLTransposeKernel.h
+++ b/arm_compute/core/CL/kernels/CLTransposeKernel.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 @@ class CLTransposeKernel : public ICLSimple2DKernel
public:
/** Initialise the kernel's input and output.
*
- * @param[in] input Input tensor. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * @param[in] input Input tensor. Data types supported: All.
* @param[out] output Output tensor. Data type supported: Same as @p input
*/
void configure(const ICLTensor *input, ICLTensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref CLTransposeKernel
*
- * @param[in] input Input tensor. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * @param[in] input Input tensor. Data types supported: All.
* @param[in] output Output tensor. Data type supported: Same as @p input
*
* @return a status
diff --git a/arm_compute/core/CL/kernels/CLUpsampleLayerKernel.h b/arm_compute/core/CL/kernels/CLUpsampleLayerKernel.h
index a770753797..f0bf7cbddf 100644
--- a/arm_compute/core/CL/kernels/CLUpsampleLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLUpsampleLayerKernel.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2019 ARM Limited.
+ * Copyright (c) 2018-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -49,7 +49,7 @@ public:
/** Initialise the kernel's input and output.
*
- * @param[in] input Source tensor. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32.
+ * @param[in] input Source tensor. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
* @param[out] output Destination tensor. Data types supported: same as @p input.
* @param[in] info Contains stride information described in @ref Size2D.
* @param[in] upsampling_policy Defines the policy to fill the intermediate pixels.
@@ -57,7 +57,7 @@ public:
void configure(const ICLTensor *input, ICLTensor *output, const Size2D &info, const InterpolationPolicy upsampling_policy);
/** Static function to check if given info will lead to a valid configuration of @ref CLUpsampleLayerKernel
*
- * @param[in] input Source tensor info. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/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] info Contains stride information described in @ref Size2D.
* @param[in] upsampling_policy Defines the policy to fill the intermediate pixels.
diff --git a/arm_compute/core/CL/kernels/CLWidthConcatenate2TensorsKernel.h b/arm_compute/core/CL/kernels/CLWidthConcatenate2TensorsKernel.h
index 30750eea3c..1a781446e6 100644
--- a/arm_compute/core/CL/kernels/CLWidthConcatenate2TensorsKernel.h
+++ b/arm_compute/core/CL/kernels/CLWidthConcatenate2TensorsKernel.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2019 ARM Limited.
+ * Copyright (c) 2018-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -52,14 +52,14 @@ public:
~CLWidthConcatenate2TensorsKernel() = default;
/** Initialise the kernel's input1s and output
*
- * @param[in] input1 First input tensor. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * @param[in] input1 First input tensor. Data types supported: All.
* @param[in] input2 Second input tensor. Data types supported: same as @p input1
* @param[out] output Output tensor. Data types supported: Same as @p input1.
*/
void configure(const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref CLWidthConcatenate2TensorsKernel
*
- * @param[in] input1 First tensor info. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * @param[in] input1 First tensor info. Data types supported: All.
* @param[in] input2 Second tensor info. Data types supported: same as @p input1
* @param[in] output Output tensor info. Data types supported: Same as @p input1.
*
diff --git a/arm_compute/core/CL/kernels/CLWidthConcatenate4TensorsKernel.h b/arm_compute/core/CL/kernels/CLWidthConcatenate4TensorsKernel.h
index d391b22885..34b8257f00 100644
--- a/arm_compute/core/CL/kernels/CLWidthConcatenate4TensorsKernel.h
+++ b/arm_compute/core/CL/kernels/CLWidthConcatenate4TensorsKernel.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2019 ARM Limited.
+ * Copyright (c) 2018-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -52,7 +52,7 @@ public:
~CLWidthConcatenate4TensorsKernel() = default;
/** Initialise the kernel's input1s and output
*
- * @param[in] input1 First input tensor. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * @param[in] input1 First input tensor. Data types supported: All.
* @param[in] input2 Second input tensor. Data types supported: same as @p input1
* @param[in] input3 Third input tensor. Data types supported: same as @p input1
* @param[in] input4 Fourth input tensor. Data types supported: same as @p input1
@@ -61,7 +61,7 @@ public:
void configure(const ICLTensor *input1, const ICLTensor *input2, const ICLTensor *input3, const ICLTensor *input4, ICLTensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref CLWidthConcatenate4TensorsKernel
*
- * @param[in] input1 First tensor info. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * @param[in] input1 First tensor info. Data types supported: All.
* @param[in] input2 Second tensor info. Data types supported: same as @p input1
* @param[in] input3 Third tensor info. Data types supported: same as @p input1
* @param[in] input4 Fourth tensor info. Data types supported: same as @p input1
diff --git a/arm_compute/core/CL/kernels/CLWidthConcatenateLayerKernel.h b/arm_compute/core/CL/kernels/CLWidthConcatenateLayerKernel.h
index 4bdab363e3..5dcae67c45 100644
--- a/arm_compute/core/CL/kernels/CLWidthConcatenateLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLWidthConcatenateLayerKernel.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2019 ARM Limited.
+ * Copyright (c) 2018-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -52,7 +52,7 @@ public:
~CLWidthConcatenateLayerKernel() = default;
/** Initialise the kernel's inputs and output
*
- * @param[in] input Input tensor. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * @param[in] input Input tensor. Data types supported: All.
* @param[in] width_offset The offset on the X axis.
* @param[in,out] output Output tensor. Data types supported: Same as @p input.
*
@@ -60,7 +60,7 @@ public:
void configure(const ICLTensor *input, unsigned int width_offset, ICLTensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref CLWidthConcatenateLayerKernel
*
- * @param[in] input Input tensor info. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * @param[in] input Input tensor info. Data types supported: All.
* @param[in] width_offset The offset on the X axis.
* @param[in] output Output tensor info. Data types supported: Same as @p input.
*