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authorDwight Lidman <dwight.lidman@arm.com>2021-03-26 10:53:28 +0100
committerpatrik.gustavsson <patrik.gustavsson@arm.com>2021-04-07 10:50:39 +0000
commit95b279f1454d58a93238851cb5ff394c7782ad32 (patch)
treeeb2e8f4db229f0581a894084c75f44b55877a05b /SUPPORTED_OPS.md
parentfe368bc231fb680ebfa48e2c35e92dec5639df5e (diff)
downloadethos-u-vela-95b279f1454d58a93238851cb5ff394c7782ad32.tar.gz
MEAN implementation changed to Average Pool
This is a small commit which changes one of the four MEAN implementations to a simpler one, using an AvgPool instead of a DepthwiseConv. Signed-off-by: Dwight Lidman <dwight.lidman@arm.com> Change-Id: I9e8af071e8b820796577ee4792b4812a1212602b
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1 files changed, 3 insertions, 1 deletions
diff --git a/SUPPORTED_OPS.md b/SUPPORTED_OPS.md
index 1ad65c63..013cad27 100644
--- a/SUPPORTED_OPS.md
+++ b/SUPPORTED_OPS.md
@@ -199,7 +199,9 @@ This is a list of constraints that the MEAN operator must satisfy in order to be
- IFM must be int8 or uint8
- Input tensor must be at least 2D
- Axis indices must correspond to height and width axes
-- Product of height and width can be at most 4096
+- Product of height and width can be at most 65536
+- Product of height and width can be at most 4096 when IFM and OFM have different scale or zero point,
+ or keep_dims is True
- Product of IFM height and width can be at most 256 when the following are true:
IFM dimensions are 4,
Axis indices are 1 and 2,