cf767a1297d67caf41577508aacc7cbc24ae8f14,scripts/gan/stylegan/modules.py,EqualConv2d,hybrid_forward,#EqualConv2d#Any#Any#,98
Before Change
def hybrid_forward(self, F, x, **kwargs):
new_weight = compute_weight(kwargs["weight_orig"])
self.conv.params[self.weight_key].set_data(new_weight)
return self.conv(x)
After Change
def hybrid_forward(self, F, x, **kwargs):
size = kwargs["weight"].shape
fan_in = prod(size[1:])
multiplier = sqrt(2.0 / fan_in)
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances
Project Name: dmlc/gluon-cv
Commit Name: cf767a1297d67caf41577508aacc7cbc24ae8f14
Time: 2020-09-16
Author: 43100519+xdeng7@users.noreply.github.com
File Name: scripts/gan/stylegan/modules.py
Class Name: EqualConv2d
Method Name: hybrid_forward
Project Name: dmlc/gluon-cv
Commit Name: cf767a1297d67caf41577508aacc7cbc24ae8f14
Time: 2020-09-16
Author: 43100519+xdeng7@users.noreply.github.com
File Name: scripts/gan/stylegan/modules.py
Class Name: EqualLinear
Method Name: hybrid_forward
Project Name: AlexEMG/DeepLabCut
Commit Name: a6346ab7b831a258d6c0aadbf81f3c0eefbef4e4
Time: 2021-01-13
Author: alexander@deeplabcut.org
File Name: deeplabcut/utils/visualization.py
Class Name:
Method Name: make_labeled_images_from_dataframe