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authorJohan Alfven <johan.alfven@arm.com>2023-05-04 12:47:25 +0200
committerJohan Alfven <johan.alfven@arm.com>2023-05-04 17:32:39 +0200
commit7ede3176636c20465851daf9ff1f9210e4902264 (patch)
treec0c5a4ea1182c3945aae7a84741623b4231a8fef
parent0a7d5ee98dfc8c881372bc5a50be37aed209c30e (diff)
downloadethos-u-vela-7ede3176636c20465851daf9ff1f9210e4902264.tar.gz
MLBEDSW-7542: Fix output diff caused by wrong scaling in Conv2d
- The reference calculates the scale slightly different between Conv2d and FullyConnect. Recently a fix was submitted to address this issue. However, internally a Conv2d can be changed to a FullyConnect but then the scale must still be calculated following the Conv2d reference. - The fix is to check the original type if FullyConnect scale should be used or not. Change-Id: I5a9fb49126f0df63712b73fb5520fdc604cee378 Signed-off-by: Johan Alfven <johan.alfven@arm.com>
-rw-r--r--ethosu/vela/weight_compressor.py2
1 files changed, 1 insertions, 1 deletions
diff --git a/ethosu/vela/weight_compressor.py b/ethosu/vela/weight_compressor.py
index a37ff6af..a258be41 100644
--- a/ethosu/vela/weight_compressor.py
+++ b/ethosu/vela/weight_compressor.py
@@ -284,7 +284,7 @@ def _prepare_scale_and_bias(arch, tens, rescale_for_faf, explicit_scaling):
# TensorFlow Lite casts the scales slightly differently for uint8 and int8 as well as
# for FullyConnected operators
if not rescale_for_faf:
- if ifm_dtype == DataType.uint8 or first_consumer_op.type == Op.FullyConnected:
+ if ifm_dtype == DataType.uint8 or first_consumer_op.original_type == Op.FullyConnected:
scales = [np.double(ifm_scale * weight_scale) / np.double(ofm_scale) for weight_scale in weight_scales]
elif ifm_dtype == DataType.int8 or ifm_dtype == DataType.int16:
scales = [