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github.com/BayesWatch/pytorch-blockswap
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Functions
120 in github.com/BayesWatch/pytorch-blockswap
⨍
Functions
120
◇
Types & classes
50
Method
forward
(self, x)
models/blocks.py:718
Method
forward
(self, x)
models/blocks.py:842
Method
forward
(self, x)
models/blocks.py:888
Method
forward
(self, x)
models/blocks.py:904
Method
forward
(self, x)
models/blocks.py:973
Method
forward
(self, x)
models/blocks.py:1148
Method
forward
(self, x)
models/blocks.py:1258
Method
forward
(self, x)
models/blocks.py:1318
Method
forward
(self, x)
models/blocks.py:1454
Method
forward
(self, x)
models/resnet.py:151
Function
get_channel_list
(channels, n)
models/resnet.py:28
Function
get_flops
(net, x)
utils.py:80
Function
parse_options
(convtype, blocktype)
models/wide_resnet.py:12
Method
reset_fisher
(self)
models/blocks.py:1183
Function
resnet18
Constructs a ResNet-18 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet
models/resnet.py:178
Function
resnet34
Constructs a ResNet-34 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet
models/resnet.py:189
Function
resnet50
Constructs a ResNet-34 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet
models/resnet.py:223
Method
update
(self, previous_mask)
models/blocks.py:1015
Method
update
(self, previous_mask)
models/blocks.py:1186
Function
update_block
(index, model, new_conv, mask=True)
models/blocks.py:1359
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