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authorDwight Lidman <dwight.lidman@arm.com>2021-03-15 19:06:10 +0100
committerpatrik.gustavsson <patrik.gustavsson@arm.com>2021-03-16 16:29:01 +0000
commit9b3791817c32529dfeddae57c29c2abe19311fc4 (patch)
tree866c769bb8627b686f7d25ddce3413380c34cbdb /SUPPORTED_OPS.md
parentc822d62ba27b874a130e9d8d434c12b419d10d62 (diff)
downloadethos-u-vela-9b3791817c32529dfeddae57c29c2abe19311fc4.tar.gz
MLBEDSW-4215: Add support for MEAN to match QuantizedMeanOrSum implementation
This commit adds support for emulating the behavior of the QuantizedMeanOrSum implementation of MEAN in TensorFlow Lite. Signed-off-by: Dwight Lidman <dwight.lidman@arm.com> Change-Id: Ifd24e0e678e2f85cd66ab82deeaaf010d5351b1e
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diff --git a/SUPPORTED_OPS.md b/SUPPORTED_OPS.md
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@@ -197,14 +197,6 @@ This is a list of constraints that the MAX_POOL_2D operator must satisfy in orde
This is a list of constraints that the MEAN operator must satisfy in order to be scheduled on the NPU.
- IFM must be int8 or uint8
-- Every constraint in either one (or both) of the following sets of constraints must be fulfilled:
- Set A:
- IFM dimensions are 4,
- Axis indices are 1 and 2,
- keep_dims is set to True
- Set B:
- IFM zero point and OFM zero point are the same,
- IFM scale and OFM scale are the same
- 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