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author | Teresa Charlin <teresa.charlinreyes@arm.com> | 2021-04-28 10:58:49 +0100 |
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committer | Sheri Zhang <sheri.zhang@arm.com> | 2021-04-30 17:18:15 +0000 |
commit | 62687420901c12be609426f3cf9dee300d25746a (patch) | |
tree | d9eaf86763aaef2debb4b3ac8ddd6c7064468325 /arm_compute/runtime/CL/functions/CLROIPoolingLayer.h | |
parent | 50929ef951880469b9d579323d2f9c9f5025327d (diff) | |
download | ComputeLibrary-62687420901c12be609426f3cf9dee300d25746a.tar.gz |
Update operator list documentation. Part 2.
All data type and data layout information for the operators are store in the function header files
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I30b564f7eda6bbd99bf3ad36ddb6639ac118eb8b
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/c/VisualCompute/ComputeLibrary/+/319829
Tested-by: bsgcomp <bsgcomp@arm.com>
Reviewed-by: Michele DiGiorgio <michele.digiorgio@arm.com>
Comments-Addressed: bsgcomp <bsgcomp@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5531
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: SiCong Li <sicong.li@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/runtime/CL/functions/CLROIPoolingLayer.h')
-rw-r--r-- | arm_compute/runtime/CL/functions/CLROIPoolingLayer.h | 10 |
1 files changed, 10 insertions, 0 deletions
diff --git a/arm_compute/runtime/CL/functions/CLROIPoolingLayer.h b/arm_compute/runtime/CL/functions/CLROIPoolingLayer.h index a4c5c76f2e..151586a1f6 100644 --- a/arm_compute/runtime/CL/functions/CLROIPoolingLayer.h +++ b/arm_compute/runtime/CL/functions/CLROIPoolingLayer.h @@ -45,6 +45,16 @@ class CLROIPoolingLayer : public ICLSimpleFunction public: /** Set the input and output tensors. * + * Valid data layouts: + * - All + * + * Valid data type configurations: + * |src0 |src1 |dst | + * |:--------------|:--------------|:--------------| + * |F16 |U16 |F16 | + * |F32 |U16 |F32 | + * |QASYMM8 |U16 |QASYMM8 | + * * @param[in] input Source tensor. Data types supported: F16/F32/QASYMM8 * @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: U16 |