Functions — github.com/ShichenLiu/CondenseNet

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Functions76 in github.com/ShichenLiu/CondenseNet

⨍ Functions 76 ◇ Types & classes 23

↓ 9 callersMethodupdate

(self, val, n=1)

↓ 7 callersFunctionget_layer_param

↓ 5 callersMethod__init__

(self, in_channels, out_channels, kernel_size, stride=1, padding=0, groups=1)

↓ 3 callersMethod__init__

(self, in_channels, growth_rate, args)

models/condensenet.py:17

↓ 3 callersMethod__init__

models/densenet.py:61

↓ 3 callersMethod__init__

(self, in_channels, growth_rate, args)

models/densenet_LGC.py:22

↓ 3 callersMethod__init__

(self, in_channels, growth_rate, args)

models/condensenet_converted.py:15

↓ 3 callersFunctionis_leaf

↓ 3 callersFunctionvalidate

(val_loader, model, criterion)

↓ 2 callersFunctionShuffleLayer

↓ 2 callersMethod_reach_stage

↓ 2 callersFunctionaccuracy

Computes the precision@k for the specified values of k

↓ 2 callersFunctionconvert_model

↓ 2 callersFunctionis_pruned

↓ 2 callersFunctionmeasure_model

↓ 1 callersMethod_check_drop

↓ 1 callersMethod_dropping

↓ 1 callersMethodadd_block

models/condensenet.py:99

↓ 1 callersMethodadd_block

models/densenet.py:104

↓ 1 callersMethodadd_block

models/densenet_LGC.py:108

↓ 1 callersMethodadd_block

models/condensenet_converted.py:94

↓ 1 callersFunctionadjust_learning_rate

(optimizer, epoch, args, batch=None, nBatch=None, method='cosine')

↓ 1 callersMethodforward

↓ 1 callersFunctionget_layer_info

↓ 1 callersFunctionget_num_gen

↓ 1 callersFunctionload_checkpoint

↓ 1 callersFunctionmain

↓ 1 callersFunctionmake_divisible

models/densenet.py:16

↓ 1 callersFunctionmake_divisible

models/densenet_LGC.py:17

↓ 1 callersFunctionmeasure_layer

↓ 1 callersFunctionmodify_forward

↓ 1 callersFunctionnew_forward

↓ 1 callersMethodreset

↓ 1 callersFunctionrestore_forward

↓ 1 callersFunctionsave_checkpoint

(state, args, is_best, filename, result)

↓ 1 callersFunctionshould_measure

↓ 1 callersFunctiontrain

(train_loader, model, criterion, optimizer, epoch)

(self, in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1,

(self, model, drop_rate=0.5)

(self, in_features, out_features, drop_rate=0.5)

(self, in_channels, out_channels, kernel_size, stride=1, padding=0, groups=1)

(self, num_layers, in_channels, growth_rate, args)

models/condensenet.py:38

(self, in_channels, args)

models/condensenet.py:46

models/condensenet.py:56

(self, in_channels, growth_rate, args)

models/densenet.py:21

(self, num_layers, in_channels, growth_rate, args)

models/densenet.py:40

(self, in_channels, out_channels, args)

models/densenet.py:48

(self, num_layers, in_channels, growth_rate, args)

models/densenet_LGC.py:43

(self, in_channels, out_channels, args)

models/densenet_LGC.py:51

models/densenet_LGC.py:65

(self, num_layers, in_channels, growth_rate, args)

models/condensenet_converted.py:34

(self, in_channels, args)

models/condensenet_converted.py:42

models/condensenet_converted.py:52

models/condensenet.py:30

models/condensenet.py:50

(self, x, progress=None)

models/condensenet.py:122

models/densenet.py:32

models/densenet.py:54

(self, x, progress=None)

models/densenet.py:132

models/densenet_LGC.py:35

models/densenet_LGC.py:58

(self, x, progress=None)

models/densenet_LGC.py:136

models/condensenet_converted.py:26

models/condensenet_converted.py:46

(self, x, progress=None)

models/condensenet_converted.py:117

Functionlambda_forward

Methodlasso_loss