1path: "tensorflow.nn.RNNCellDropoutWrapper"
2tf_class {
3  is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.DropoutWrapperV2\'>"
4  is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.DropoutWrapperBase\'>"
5  is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl._RNNCellWrapperV2\'>"
6  is_instance: "<class \'tensorflow.python.keras.layers.recurrent.AbstractRNNCell\'>"
7  is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
8  is_instance: "<class \'tensorflow.python.training.tracking.base.Trackable\'>"
9  is_instance: "<type \'object\'>"
10  member {
11    name: "activity_regularizer"
12    mtype: "<type \'property\'>"
13  }
14  member {
15    name: "dtype"
16    mtype: "<type \'property\'>"
17  }
18  member {
19    name: "dynamic"
20    mtype: "<type \'property\'>"
21  }
22  member {
23    name: "inbound_nodes"
24    mtype: "<type \'property\'>"
25  }
26  member {
27    name: "input"
28    mtype: "<type \'property\'>"
29  }
30  member {
31    name: "input_mask"
32    mtype: "<type \'property\'>"
33  }
34  member {
35    name: "input_shape"
36    mtype: "<type \'property\'>"
37  }
38  member {
39    name: "losses"
40    mtype: "<type \'property\'>"
41  }
42  member {
43    name: "name"
44    mtype: "<type \'property\'>"
45  }
46  member {
47    name: "non_trainable_variables"
48    mtype: "<type \'property\'>"
49  }
50  member {
51    name: "non_trainable_weights"
52    mtype: "<type \'property\'>"
53  }
54  member {
55    name: "outbound_nodes"
56    mtype: "<type \'property\'>"
57  }
58  member {
59    name: "output"
60    mtype: "<type \'property\'>"
61  }
62  member {
63    name: "output_mask"
64    mtype: "<type \'property\'>"
65  }
66  member {
67    name: "output_shape"
68    mtype: "<type \'property\'>"
69  }
70  member {
71    name: "output_size"
72    mtype: "<type \'property\'>"
73  }
74  member {
75    name: "state_size"
76    mtype: "<type \'property\'>"
77  }
78  member {
79    name: "trainable_variables"
80    mtype: "<type \'property\'>"
81  }
82  member {
83    name: "trainable_weights"
84    mtype: "<type \'property\'>"
85  }
86  member {
87    name: "updates"
88    mtype: "<type \'property\'>"
89  }
90  member {
91    name: "variables"
92    mtype: "<type \'property\'>"
93  }
94  member {
95    name: "weights"
96    mtype: "<type \'property\'>"
97  }
98  member {
99    name: "wrapped_cell"
100    mtype: "<type \'property\'>"
101  }
102  member_method {
103    name: "__init__"
104    argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
105  }
106  member_method {
107    name: "add_loss"
108    argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
109  }
110  member_method {
111    name: "add_metric"
112    argspec: "args=[\'self\', \'value\', \'aggregation\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
113  }
114  member_method {
115    name: "add_update"
116    argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
117  }
118  member_method {
119    name: "add_variable"
120    argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
121  }
122  member_method {
123    name: "add_weight"
124    argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\'], "
125  }
126  member_method {
127    name: "apply"
128    argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
129  }
130  member_method {
131    name: "build"
132    argspec: "args=[\'self\', \'inputs_shape\'], varargs=None, keywords=None, defaults=None"
133  }
134  member_method {
135    name: "call"
136    argspec: "args=[\'self\', \'inputs\', \'state\'], varargs=None, keywords=kwargs, defaults=None"
137  }
138  member_method {
139    name: "compute_mask"
140    argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
141  }
142  member_method {
143    name: "compute_output_shape"
144    argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
145  }
146  member_method {
147    name: "count_params"
148    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
149  }
150  member_method {
151    name: "from_config"
152    argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
153  }
154  member_method {
155    name: "get_config"
156    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
157  }
158  member_method {
159    name: "get_initial_state"
160    argspec: "args=[\'self\', \'inputs\', \'batch_size\', \'dtype\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
161  }
162  member_method {
163    name: "get_input_at"
164    argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
165  }
166  member_method {
167    name: "get_input_mask_at"
168    argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
169  }
170  member_method {
171    name: "get_input_shape_at"
172    argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
173  }
174  member_method {
175    name: "get_losses_for"
176    argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
177  }
178  member_method {
179    name: "get_output_at"
180    argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
181  }
182  member_method {
183    name: "get_output_mask_at"
184    argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
185  }
186  member_method {
187    name: "get_output_shape_at"
188    argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
189  }
190  member_method {
191    name: "get_updates_for"
192    argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
193  }
194  member_method {
195    name: "get_weights"
196    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
197  }
198  member_method {
199    name: "set_weights"
200    argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
201  }
202  member_method {
203    name: "zero_state"
204    argspec: "args=[\'self\', \'batch_size\', \'dtype\'], varargs=None, keywords=None, defaults=None"
205  }
206}
207