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Upgrade to Pytorch 1.8 #411

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Mar 15, 2021
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e7d098d
package upgrade
ant0nsc Mar 6, 2021
470551e
upgrade torchprof
ant0nsc Mar 7, 2021
83311fd
removing a test that now fails because AML is behind
ant0nsc Mar 7, 2021
52a3882
forking torchprof for now
ant0nsc Mar 8, 2021
eb8cf34
adding bias term
ant0nsc Mar 8, 2021
6a03041
updated pytorch lightning
ant0nsc Mar 8, 2021
676032d
updated metrics location
ant0nsc Mar 8, 2021
3c7abbd
avoiding the legacy use_ddp flag
ant0nsc Mar 8, 2021
22c6deb
trying to fix
ant0nsc Mar 8, 2021
8749465
update pillow to avoid component governance
ant0nsc Mar 9, 2021
14c4b9d
fix metrics problems
ant0nsc Mar 10, 2021
6b5584a
switch to new torchprof
ant0nsc Mar 10, 2021
a69dfd6
mypy
ant0nsc Mar 10, 2021
9e7b58a
exclude time from metrics for scalar models
ant0nsc Mar 10, 2021
e95a1ac
fix tolerance issues
ant0nsc Mar 10, 2021
63e200b
project file
ant0nsc Mar 10, 2021
30cba02
cleanup
ant0nsc Mar 10, 2021
54e5055
test fixes
ant0nsc Mar 10, 2021
68f76d4
CHANGELOG.md
ant0nsc Mar 10, 2021
34ee256
test fixes
ant0nsc Mar 10, 2021
45be974
test fixes
ant0nsc Mar 10, 2021
c0c0020
Merge branch 'main' into antonsc/pytorch18
ant0nsc Mar 11, 2021
32c144f
Merge remote-tracking branch 'origin/main' into antonsc/pytorch18
ant0nsc Mar 12, 2021
97756d2
downgrade PL to 1.1.8
ant0nsc Mar 12, 2021
f74c3c4
Merge branch 'antonsc/pytorch18' of https://github.com/microsoft/Inne…
ant0nsc Mar 12, 2021
bee0272
Merge remote-tracking branch 'origin/main' into antonsc/pytorch18
ant0nsc Mar 12, 2021
78d59fe
PR comments
ant0nsc Mar 12, 2021
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adding bias term
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ant0nsc committed Mar 8, 2021
commit eb8cf3424b5b15ecdd72e571659921a98d77d4e4
2 changes: 1 addition & 1 deletion InnerEye/ML/models/layers/weight_standardization.py
Original file line number Diff line number Diff line change
Expand Up @@ -51,4 +51,4 @@ def standardize(weights: torch.Tensor) -> torch.Tensor:

def forward(self, input: torch.Tensor) -> torch.Tensor: # type: ignore
standardized_weights = WeightStandardizedConv2d.standardize(self.weight)
return self._conv_forward(input, standardized_weights) # type: ignore
return self._conv_forward(input, standardized_weights, bias=None) # type: ignore