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author | Michele Di Giorgio <michele.digiorgio@arm.com> | 2020-06-01 12:07:50 +0100 |
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committer | Michele Di Giorgio <michele.digiorgio@arm.com> | 2020-06-01 21:03:49 +0000 |
commit | 1710133b05a9ed1fcc1cc68624c2ce0e09eae495 (patch) | |
tree | 9ab738a59e23b3782613602cedfe29d31cc595a2 /arm_compute/runtime/NEON/functions/NECropResize.h | |
parent | c72dabc9ad572493c12c1d9052ec201732b9201e (diff) | |
download | ComputeLibrary-1710133b05a9ed1fcc1cc68624c2ce0e09eae495.tar.gz |
COMPMID-2395: Add support for U8 datatype to CropResize on NEON
Change-Id: Ia356b3545e01ccc98056951f3a20ed2712240dac
Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3283
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Sang-Hoon Park <sang-hoon.park@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/runtime/NEON/functions/NECropResize.h')
-rw-r--r-- | arm_compute/runtime/NEON/functions/NECropResize.h | 7 |
1 files changed, 3 insertions, 4 deletions
diff --git a/arm_compute/runtime/NEON/functions/NECropResize.h b/arm_compute/runtime/NEON/functions/NECropResize.h index 9f961a13e6..1c15beded4 100644 --- a/arm_compute/runtime/NEON/functions/NECropResize.h +++ b/arm_compute/runtime/NEON/functions/NECropResize.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2019 ARM Limited. + * Copyright (c) 2019-2020 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -27,7 +27,6 @@ #include "arm_compute/core/NEON/kernels/NECropKernel.h" #include "arm_compute/runtime/NEON/functions/NEScale.h" -#include <cstdint> #include <memory> namespace arm_compute @@ -58,7 +57,7 @@ public: * @note Box indices may be outside of the bounds, in which case @p extrapolation_value is used. * @note Start and end indices of boxes are inclusive. * - * @param[in] input Source tensor containing N batches of 3D images to be cropped. Data type supported: U16/S16/U32/S32/F16/F32 + * @param[in] input Source tensor containing N batches of 3D images to be cropped. Data type supported: U8/U16/S16/U32/S32/F16/F32 * @param[in] boxes Tensor containing the boxes used to crop the images. Data type supported: F32 * @param[in] box_ind One dimensional tensor containing the batch index of the 3D image in @p input that the corresponding * box in @p boxes will be applied to. Data type supported: F32 @@ -76,7 +75,7 @@ public: * @note Box indices may be outside of the bounds, in which case @p extrapolation_value is used. * @note Start and end indices of boxes are inclusive. * - * @param[in] input Source tensor containing N batches of 3D images to be cropped. Data type supported: U16/S16/U32/S32/F16/F32 + * @param[in] input Source tensor containing N batches of 3D images to be cropped. Data type supported: U8/U16/S16/U32/S32/F16/F32 * @param[in] boxes Tensor info for the tensor containing the boxes used to crop the images. Data type supported: F32 * @param[in] box_ind Tensor info for the one dimensional tensor containing the batch index of the 3D image in @p input * that the corresponding box in @p boxes will be applied to. Data type supported: F32 |