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YOLO layer is too specialized and specific to a single model type. Can
be decomposed using split, activation and concatenate layers
Partially Resolves: COMPMID-3996
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: I3cde88f8d4cc7d8c70ce1bb3b32b00f8d09bdca2
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4678
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
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preferred presentation
Change-Id: Ib7dcfcbb24b408999dfae366b9da396485aacf78
Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3525
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Georgios Pinitas <georgios.pinitas@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
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Change-Id: I7b351f18a78ed8a250bf3a91ef320db61984146a
Reviewed-on: https://review.mlplatform.org/485
Reviewed-by: Isabella Gottardi <isabella.gottardi@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
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Fixes for:
- ReduceMean, reduction on the X axis for FP16 with 8 elements was
performed only up to a certain point. The fix now takes into account the
number of elements of the vector and does as many reductions as
necessary.
- YOLOLayer, activation for FP16 has to be performed on 32 bits until
the FP16 approximations is fixed.
Change-Id: I75373f4edd37de476e6fe1a56de3ef386b65c619
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Change-Id: Ice28996959dc666fff5e8ae486c1ff8093db083f
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/148367
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: bsgcomp <bsgcomp@arm.com>
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