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Functions138 in github.com/ChrisAllenMing/LtC-MSDA

Methodforward
(self, inputs)
model/alexnet.py:600
Methodforward
(self, inputs)
model/alexnet.py:715
Methodforward
(self, embedding)
model/alexnet.py:741
Methodforward
(self, x)
model/alexnet.py:765
Methodforward
(self, x)
model/alexnet.py:859
Methodforward
(self, embedding)
model/alexnet.py:886
Methodforward
(self, x,reverse=False)
model/svhn2mnist.py:20
Methodforward
(self, x, reverse=False)
model/svhn2mnist.py:47
Methodforward
(self, x)
model/usps.py:15
Methodforward
(self, x, reverse=False)
model/usps.py:37
Methodforward
(self, x)
model/syn2gtrsb.py:16
Methodforward
(self, x, reverse=False)
model/syn2gtrsb.py:35
Methodforward
(self, x)
model/resnet.py:57
Methodforward
(self, x)
model/resnet.py:97
Methodforward
(self, x)
model/resnet.py:215
Methodforward
(self, x)
model/resnet.py:393
Methodforward
(self, x)
model/resnet.py:422
Methodforward
(self, input, adj)
gcn/layers.py:26
Methodforward
(self, x, adj)
gcn/models.py:15
Methodinitialize
(self,batch_size)
datasets/base_data_loader.py:6
Methodload
(self, checkpoint)
model/alexnet.py:224
Methodload
(self, checkpoint)
model/alexnet.py:830
Methodload_data
()
datasets/base_data_loader.py:13
Methodname
(self)
datasets/unaligned_data_loader.py:133
Functionresnet101
(pretrained=False, progress=True, **kwargs)
model/resnet.py:297
Functionresnet152
r"""ResNet-152 model from `"Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.pdf>`_ Args: pretrained (b
model/resnet.py:310
Functionresnet18
r"""ResNet-18 model from `"Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.pdf>`_ Args: pretrained (bo
model/resnet.py:227
Functionresnet34
r"""ResNet-34 model from `"Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.pdf>`_ Args: pretrained (bo
model/resnet.py:238
Functionresnet50
(pretrained=False, progress=True, **kwargs)
model/resnet.py:283
Functionresnext101_32x8d
r"""ResNeXt-101 32x8d model from `"Aggregated Residual Transformation for Deep Neural Networks" <https://arxiv.org/pdf/1611.05431.pdf>`_ Args:
model/resnet.py:334
Functionresnext50_32x4d
r"""ResNeXt-50 32x4d model from `"Aggregated Residual Transformation for Deep Neural Networks" <https://arxiv.org/pdf/1611.05431.pdf>`_ Args:
model/resnet.py:321
Methodset_lambda
(self, lambd)
model/lenet.py:40
Methodset_lambda
(self, lambd)
model/svhn2mnist.py:44
Methodset_lambda
(self, lambd)
model/usps.py:35
Methodset_lambda
(self, lambd)
model/syn2gtrsb.py:32
Functionweights_init
(m)
utils/utils.py:4
Functionwide_resnet101_2
r"""Wide ResNet-101-2 model from `"Wide Residual Networks" <https://arxiv.org/pdf/1605.07146.pdf>`_ The model is the same as ResNet except for
model/resnet.py:363
Functionwide_resnet50_2
r"""Wide ResNet-50-2 model from `"Wide Residual Networks" <https://arxiv.org/pdf/1605.07146.pdf>`_ The model is the same as ResNet except for
model/resnet.py:347
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