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Functions32 in github.com/OpenXAIProject/UncertintyAttention_DropMax

↓ 7 callersMethodrun
(self)
UA-master/model_UA.py:180
↓ 4 callersFunctionconv
(x, filters, kernel_size=3, strides=1, **kwargs)
dropmax-master/layers.py:17
↓ 4 callersFunctionpool
(x, **kwargs)
dropmax-master/layers.py:21
↓ 3 callersFunctionROC_AUC
(p, y)
UA-master/metric.py:15
↓ 3 callersMethodaccum
(self, val)
dropmax-master/accumulator.py:12
↓ 3 callersFunctionaccuracy
(preds, labels)
UA-master/metric.py:6
↓ 3 callersMethodprint_
(self, header=None, epoch=None, it=None, time=None, logfile=None, do_not_print=[], as_int=[],
dropmax-master/accumulator.py:29
↓ 3 callersMethodrun_epoch
(self, ops, data_x, data_y, is_train=True)
UA-master/model_UA.py:142
↓ 2 callersFunctionaccuracy
(expo, y)
dropmax-master/layers.py:34
↓ 2 callersFunctionattention_op
(str_id, rnn_outputs, hidden_units, embed_size, steps)
UA-master/attention_operation.py:11
↓ 2 callersMethodclear
(self)
dropmax-master/accumulator.py:20
↓ 2 callersFunctioncross_entropy
(expo, y)
dropmax-master/layers.py:29
↓ 2 callersFunctionweight_decay
(decay, var_list=None)
dropmax-master/layers.py:38
↓ 1 callersFunctionauxloss
(r, y)
dropmax-master/layers.py:57
↓ 1 callersMethodbuild_model
(self)
UA-master/model_UA.py:47
↓ 1 callersMethoddata_iteration
(self, data_x, data_y, is_train=True)
UA-master/model_UA.py:118
↓ 1 callersFunctiondist_unif
(p)
dropmax-master/layers.py:43
↓ 1 callersFunctionentropy
(p)
dropmax-master/layers.py:63
↓ 1 callersFunctiongenmask
(p, y)
dropmax-master/layers.py:46
↓ 1 callersFunctionkl_divergence
(p, q, y)
dropmax-master/layers.py:51
↓ 1 callersFunctionmain
()
UA-master/run_UA.py:24
↓ 1 callersFunctionmnist_input
(path, nlist)
dropmax-master/mnist.py:4
↓ 1 callersFunctiontest
()
dropmax-master/run.py:101
↓ 1 callersFunctiontrain
()
dropmax-master/run.py:49
FunctionRMSE
(p, y)
UA-master/metric.py:10
Method__init__
(self, *args)
dropmax-master/accumulator.py:4
Method__init__
(self, config)
UA-master/model_UA.py:16
Functionbase_softmax
(x, y, training, name='base_softmax', reuse=None)
dropmax-master/lenet.py:3
Functiondropmax
(x, y, training, name='dropmax', reuse=None)
dropmax-master/lenet.py:23
Methodget
(self, arg, avg=True)
dropmax-master/accumulator.py:24
Functionglobal_avg_pool
(x)
dropmax-master/layers.py:25
Methodsingle_cell
()
UA-master/model_UA.py:49