1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
|
path: "tensorflow.nn.rnn_cell.DropoutWrapper"
tf_class {
is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.DropoutWrapper\'>"
is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.RNNCell\'>"
is_instance: "<class \'tensorflow.python.layers.base.Layer\'>"
is_instance: "<type \'object\'>"
member {
name: "activity_regularizer"
mtype: "<type \'property\'>"
}
member {
name: "dtype"
mtype: "<type \'property\'>"
}
member {
name: "graph"
mtype: "<type \'property\'>"
}
member {
name: "inbound_nodes"
mtype: "<type \'property\'>"
}
member {
name: "input"
mtype: "<type \'property\'>"
}
member {
name: "input_shape"
mtype: "<type \'property\'>"
}
member {
name: "losses"
mtype: "<type \'property\'>"
}
member {
name: "name"
mtype: "<type \'property\'>"
}
member {
name: "non_trainable_variables"
mtype: "<type \'property\'>"
}
member {
name: "non_trainable_weights"
mtype: "<type \'property\'>"
}
member {
name: "outbound_nodes"
mtype: "<type \'property\'>"
}
member {
name: "output"
mtype: "<type \'property\'>"
}
member {
name: "output_shape"
mtype: "<type \'property\'>"
}
member {
name: "output_size"
mtype: "<type \'property\'>"
}
member {
name: "scope_name"
mtype: "<type \'property\'>"
}
member {
name: "state_size"
mtype: "<type \'property\'>"
}
member {
name: "trainable_variables"
mtype: "<type \'property\'>"
}
member {
name: "trainable_weights"
mtype: "<type \'property\'>"
}
member {
name: "updates"
mtype: "<type \'property\'>"
}
member {
name: "variables"
mtype: "<type \'property\'>"
}
member {
name: "weights"
mtype: "<type \'property\'>"
}
member {
name: "wrapped_cell"
mtype: "<type \'property\'>"
}
member_method {
name: "__init__"
argspec: "args=[\'self\', \'cell\', \'input_keep_prob\', \'output_keep_prob\', \'state_keep_prob\', \'variational_recurrent\', \'input_size\', \'dtype\', \'seed\', \'dropout_state_filter_visitor\'], varargs=None, keywords=None, defaults=[\'1.0\', \'1.0\', \'1.0\', \'False\', \'None\', \'None\', \'None\', \'None\'], "
}
member_method {
name: "add_loss"
argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "add_update"
argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "add_variable"
argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\'], "
}
member_method {
name: "apply"
argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
}
member_method {
name: "build"
argspec: "args=[\'self\', \'_\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "call"
argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=kwargs, defaults=None"
}
member_method {
name: "compute_output_shape"
argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "count_params"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "get_input_at"
argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "get_input_shape_at"
argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "get_losses_for"
argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "get_output_at"
argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "get_output_shape_at"
argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "get_updates_for"
argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "zero_state"
argspec: "args=[\'self\', \'batch_size\', \'dtype\'], varargs=None, keywords=None, defaults=None"
}
}
|
