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authorMichele Di Giorgio <michele.digiorgio@arm.com>2020-07-03 16:29:24 +0100
committerGeorgios Pinitas <georgios.pinitas@arm.com>2020-07-06 16:53:50 +0000
commitf22f67298d1e7bbc349d5179bceb70971b4bc226 (patch)
tree453da4c4f3e6fbb55d79d9a3bb19b7b48fb51a07 /arm_compute/core/CPP
parent5aa1a0b7ca5eed010e4b297a95b1c4851f741328 (diff)
downloadComputeLibrary-f22f67298d1e7bbc349d5179bceb70971b4bc226.tar.gz
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>
Diffstat (limited to 'arm_compute/core/CPP')
-rw-r--r--arm_compute/core/CPP/kernels/CPPBoxWithNonMaximaSuppressionLimitKernel.h6
-rw-r--r--arm_compute/core/CPP/kernels/CPPPermuteKernel.h8
-rw-r--r--arm_compute/core/CPP/kernels/CPPTopKVKernel.h4
-rw-r--r--arm_compute/core/CPP/kernels/CPPUpsampleKernel.h4
4 files changed, 10 insertions, 12 deletions
diff --git a/arm_compute/core/CPP/kernels/CPPBoxWithNonMaximaSuppressionLimitKernel.h b/arm_compute/core/CPP/kernels/CPPBoxWithNonMaximaSuppressionLimitKernel.h
index 3fa83a6d6d..ac797bdf77 100644
--- a/arm_compute/core/CPP/kernels/CPPBoxWithNonMaximaSuppressionLimitKernel.h
+++ b/arm_compute/core/CPP/kernels/CPPBoxWithNonMaximaSuppressionLimitKernel.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2019 ARM Limited.
+ * Copyright (c) 2018-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -24,8 +24,6 @@
#ifndef ARM_COMPUTE_CPPBOXWITHNONMAXIMASUPPRESSIONLIMITKERNEL_H
#define ARM_COMPUTE_CPPBOXWITHNONMAXIMASUPPRESSIONLIMITKERNEL_H
-#include "arm_compute/core/IArray.h"
-#include "arm_compute/core/IHOG.h"
#include "arm_compute/core/NEON/INEKernel.h"
#include "arm_compute/core/Types.h"
@@ -62,7 +60,7 @@ 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 [batch_size]. 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[out] keeps_size (Optional) Number of filtered indices per class tensor of size [num_classes]. Data types supported: Same as @p scores_in
+ * @param[out] 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,
diff --git a/arm_compute/core/CPP/kernels/CPPPermuteKernel.h b/arm_compute/core/CPP/kernels/CPPPermuteKernel.h
index e75152f4ea..6a60849bf3 100644
--- a/arm_compute/core/CPP/kernels/CPPPermuteKernel.h
+++ b/arm_compute/core/CPP/kernels/CPPPermuteKernel.h
@@ -56,15 +56,15 @@ public:
/** Set the input and output of the kernel.
*
- * @param[in] input The input tensor to permute. Data types supported: U8/S8/QASYMM8/QASYMM8_SIGNED/U16/S16/F16/U32/S32/F32
- * @param[out] output The output tensor. Data types supported: Same as @p input
+ * @param[in] input The input tensor to permute. Data types supported: All.
+ * @param[out] output The output tensor. Data types supported: same as @p input
* @param[in] perm Permutation vector
*/
void configure(const ITensor *input, ITensor *output, const PermutationVector &perm);
/** Static function to check if given info will lead to a valid configuration of @ref CPPPermuteKernel
*
- * @param[in] input The input tensor to permute. Data types supported: U8/S8/QASYMM8/QASYMM8_SIGNED/U16/S16/F16/U32/S32/F32
- * @param[in] output The output tensor. Data types supported: Same as @p input
+ * @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
*
* @return a status
diff --git a/arm_compute/core/CPP/kernels/CPPTopKVKernel.h b/arm_compute/core/CPP/kernels/CPPTopKVKernel.h
index 4b9bfdd3c9..bba183ce3a 100644
--- a/arm_compute/core/CPP/kernels/CPPTopKVKernel.h
+++ b/arm_compute/core/CPP/kernels/CPPTopKVKernel.h
@@ -54,7 +54,7 @@ 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.
*/
@@ -63,7 +63,7 @@ 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/core/CPP/kernels/CPPUpsampleKernel.h b/arm_compute/core/CPP/kernels/CPPUpsampleKernel.h
index 9fbc9b697c..eb23d1a185 100644
--- a/arm_compute/core/CPP/kernels/CPPUpsampleKernel.h
+++ b/arm_compute/core/CPP/kernels/CPPUpsampleKernel.h
@@ -55,8 +55,8 @@ public:
/** Set the input and output of the 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 info.
*/
void configure(const ITensor *input, ITensor *output, const PadStrideInfo &info);