COMPMID-3532: Align data type support between doxygen and implementation - CPP

The patch also removes some unused NEON kernels.

Change-Id: I4a7622f31c88ee038b21874614a981764a03122a
Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3509
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Sheri Zhang <sheri.zhang@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>

4 files changed, 8 insertions, 8 deletions

diff --git a/arm_compute/runtime/CPP/functions/CPPBoxWithNonMaximaSuppressionLimit.h b/arm_compute/runtime/CPP/functions/CPPBoxWithNonMaximaSuppressionLimit.h
index b6f55b5bf8..b1ea84dcda 100644
--- a/arm_compute/runtime/CPP/functions/CPPBoxWithNonMaximaSuppressionLimit.h
+++ b/arm_compute/runtime/CPP/functions/CPPBoxWithNonMaximaSuppressionLimit.h
@@ -58,7 +58,7 @@ public:
      * @param[out] classes          The classes output tensor of size [N]. Data types supported: Same as @p scores_in
      * @param[out] batch_splits_out (Optional) The batch splits output tensor. Data types supported: Same as @p scores_in
      * @param[out] keeps            (Optional) The keeps output tensor of size [N]. Data types supported: Same as @p scores_in
-     * @param[in]  keeps_size       (Optional) Number of filtered indices per class tensor of size [num_classes]. Data types supported: Same as @p scores_in
+     * @param[in]  keeps_size       (Optional) Number of filtered indices per class tensor of size [num_classes]. Data types supported: U32.
      * @param[in]  info             (Optional) BoxNMSLimitInfo information.
      */
     void configure(const ITensor *scores_in, const ITensor *boxes_in, const ITensor *batch_splits_in, ITensor *scores_out, ITensor *boxes_out, ITensor *classes,
@@ -76,7 +76,7 @@ public:
      * @param[in] classes          The classes output tensor of size [N]. Data types supported: Same as @p scores_in
      * @param[in] batch_splits_out (Optional) The batch splits output tensor. Data types supported: Same as @p scores_in
      * @param[in] keeps            (Optional) The keeps output tensor of size [N]. Data types supported: Same as @p scores_in
-     * @param[in] keeps_size       (Optional) Number of filtered indices per class tensor of size [num_classes]. Data types supported: Same as @p scores_in
+     * @param[in] keeps_size       (Optional) Number of filtered indices per class tensor of size [num_classes]. Data types supported: U32.
      * @param[in] info             (Optional) BoxNMSLimitInfo information.
      *
      * @return a status
diff --git a/arm_compute/runtime/CPP/functions/CPPSplit.h b/arm_compute/runtime/CPP/functions/CPPSplit.h
index 6adcbc3323..611cc41157 100644
--- a/arm_compute/runtime/CPP/functions/CPPSplit.h
+++ b/arm_compute/runtime/CPP/functions/CPPSplit.h
@@ -47,8 +47,8 @@ public:
     }
     /** Static function to check if given info will lead to a valid configuration of @ref CPPSplit
      *
-     * @param[in] input   The input tensor info. Data types supported: U8/S8/QASYMM8/U16/S16/U32/S32/F16/F32.
-     * @param[in] outputs A vector containing the output tensors' info. Data types supported: Same as @p input.
+     * @param[in] input   The input tensor info. Data types supported: All.
+     * @param[in] outputs A vector containing the output tensors' info. Data types supported: same as @p input.
      *                    The output tensors should match the input tensor dimensions for all shape dimensions apart
      *                    from the split dimension
      * @param[in] axis    Axis on which to split the input.
diff --git a/arm_compute/runtime/CPP/functions/CPPTopKV.h b/arm_compute/runtime/CPP/functions/CPPTopKV.h
index c94e277312..fb93bdf764 100644
--- a/arm_compute/runtime/CPP/functions/CPPTopKV.h
+++ b/arm_compute/runtime/CPP/functions/CPPTopKV.h
@@ -39,7 +39,7 @@ public:
     /** Set the input and output of the kernel.
      *
      * @param[in]  predictions A batch_size x classes tensor. Data types supported: F16/S32/F32/QASYMM8/QASYMM8_SIGNED
-     * @param[in]  targets     A batch_size 1D tensor of class ids. Data types supported: S32
+     * @param[in]  targets     A batch_size 1D tensor of class ids. Data types supported: U32
      * @param[out] output      Computed precision at @p k as a bool 1D tensor. Data types supported: U8
      * @param[in]  k           Number of top elements to look at for computing precision.
      */
@@ -48,7 +48,7 @@ public:
     /** Static function to check if given info will lead to a valid configuration of @ref CPPTopKVKernel
      *
      * @param[in] predictions A batch_size x classes tensor info. Data types supported: F16/S32/F32/QASYMM8/QASYMM8_SIGNED
-     * @param[in] targets     A batch_size 1D tensor info of class ids. Data types supported: S32
+     * @param[in] targets     A batch_size 1D tensor info of class ids. Data types supported: U32
      * @param[in] output      Computed precision at @p k as a bool 1D tensor info. Data types supported: U8
      * @param[in] k           Number of top elements to look at for computing precision.
      *
diff --git a/arm_compute/runtime/CPP/functions/CPPUpsample.h b/arm_compute/runtime/CPP/functions/CPPUpsample.h
index 3e1852bc30..080e86b676 100644
--- a/arm_compute/runtime/CPP/functions/CPPUpsample.h
+++ b/arm_compute/runtime/CPP/functions/CPPUpsample.h
@@ -38,8 +38,8 @@ class CPPUpsample : public ICPPSimpleFunction
 public:
     /** Configure the upsample CPP kernel
      *
-     * @param[in]  input  The input tensor to upsample. Data types supported: F32/F16/QASYMM8/QASYMM8_SIGNED
-     * @param[out] output The output tensor. Data types supported: Same as @p input
+     * @param[in]  input  The input tensor to upsample. Data types supported: All.
+     * @param[out] output The output tensor. Data types supported: same as @p input
      * @param[in]  info   Padding information
      */
     void configure(const ITensor *input, ITensor *output, const PadStrideInfo &info);