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1path: "tensorflow.nn.RNNCellDeviceWrapper"
2tf_class {
3  is_instance: "<class \'tensorflow.python.keras.layers.rnn_cell_wrapper_v2.DeviceWrapper\'>"
4  is_instance: "<class \'tensorflow.python.keras.layers.legacy_rnn.rnn_cell_wrapper_impl.DeviceWrapperBase\'>"
5  is_instance: "<class \'tensorflow.python.keras.layers.rnn_cell_wrapper_v2._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.module.module.Module\'>"
9  is_instance: "<class \'tensorflow.python.training.tracking.tracking.AutoTrackable\'>"
10  is_instance: "<class \'tensorflow.python.training.tracking.base.Trackable\'>"
11  is_instance: "<class \'tensorflow.python.keras.utils.version_utils.LayerVersionSelector\'>"
12  is_instance: "<type \'object\'>"
13  member {
14    name: "activity_regularizer"
15    mtype: "<type \'property\'>"
16  }
17  member {
18    name: "compute_dtype"
19    mtype: "<type \'property\'>"
20  }
21  member {
22    name: "dtype"
23    mtype: "<type \'property\'>"
24  }
25  member {
26    name: "dtype_policy"
27    mtype: "<type \'property\'>"
28  }
29  member {
30    name: "dynamic"
31    mtype: "<type \'property\'>"
32  }
33  member {
34    name: "inbound_nodes"
35    mtype: "<type \'property\'>"
36  }
37  member {
38    name: "input"
39    mtype: "<type \'property\'>"
40  }
41  member {
42    name: "input_mask"
43    mtype: "<type \'property\'>"
44  }
45  member {
46    name: "input_shape"
47    mtype: "<type \'property\'>"
48  }
49  member {
50    name: "input_spec"
51    mtype: "<type \'property\'>"
52  }
53  member {
54    name: "losses"
55    mtype: "<type \'property\'>"
56  }
57  member {
58    name: "metrics"
59    mtype: "<type \'property\'>"
60  }
61  member {
62    name: "name"
63    mtype: "<type \'property\'>"
64  }
65  member {
66    name: "name_scope"
67    mtype: "<type \'property\'>"
68  }
69  member {
70    name: "non_trainable_variables"
71    mtype: "<type \'property\'>"
72  }
73  member {
74    name: "non_trainable_weights"
75    mtype: "<type \'property\'>"
76  }
77  member {
78    name: "outbound_nodes"
79    mtype: "<type \'property\'>"
80  }
81  member {
82    name: "output"
83    mtype: "<type \'property\'>"
84  }
85  member {
86    name: "output_mask"
87    mtype: "<type \'property\'>"
88  }
89  member {
90    name: "output_shape"
91    mtype: "<type \'property\'>"
92  }
93  member {
94    name: "output_size"
95    mtype: "<type \'property\'>"
96  }
97  member {
98    name: "state_size"
99    mtype: "<type \'property\'>"
100  }
101  member {
102    name: "stateful"
103    mtype: "<type \'property\'>"
104  }
105  member {
106    name: "submodules"
107    mtype: "<type \'property\'>"
108  }
109  member {
110    name: "supports_masking"
111    mtype: "<type \'property\'>"
112  }
113  member {
114    name: "trainable"
115    mtype: "<type \'property\'>"
116  }
117  member {
118    name: "trainable_variables"
119    mtype: "<type \'property\'>"
120  }
121  member {
122    name: "trainable_weights"
123    mtype: "<type \'property\'>"
124  }
125  member {
126    name: "updates"
127    mtype: "<type \'property\'>"
128  }
129  member {
130    name: "variable_dtype"
131    mtype: "<type \'property\'>"
132  }
133  member {
134    name: "variables"
135    mtype: "<type \'property\'>"
136  }
137  member {
138    name: "weights"
139    mtype: "<type \'property\'>"
140  }
141  member_method {
142    name: "__init__"
143    argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
144  }
145  member_method {
146    name: "add_loss"
147    argspec: "args=[\'self\', \'losses\'], varargs=None, keywords=kwargs, defaults=None"
148  }
149  member_method {
150    name: "add_metric"
151    argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'None\'], "
152  }
153  member_method {
154    name: "add_update"
155    argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
156  }
157  member_method {
158    name: "add_variable"
159    argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
160  }
161  member_method {
162    name: "add_weight"
163    argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\'], "
164  }
165  member_method {
166    name: "apply"
167    argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
168  }
169  member_method {
170    name: "build"
171    argspec: "args=[\'self\', \'inputs_shape\'], varargs=None, keywords=None, defaults=None"
172  }
173  member_method {
174    name: "call"
175    argspec: "args=[\'self\', \'inputs\', \'state\'], varargs=None, keywords=kwargs, defaults=None"
176  }
177  member_method {
178    name: "compute_mask"
179    argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
180  }
181  member_method {
182    name: "compute_output_shape"
183    argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
184  }
185  member_method {
186    name: "compute_output_signature"
187    argspec: "args=[\'self\', \'input_signature\'], varargs=None, keywords=None, defaults=None"
188  }
189  member_method {
190    name: "count_params"
191    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
192  }
193  member_method {
194    name: "from_config"
195    argspec: "args=[\'cls\', \'config\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], "
196  }
197  member_method {
198    name: "get_config"
199    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
200  }
201  member_method {
202    name: "get_initial_state"
203    argspec: "args=[\'self\', \'inputs\', \'batch_size\', \'dtype\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
204  }
205  member_method {
206    name: "get_input_at"
207    argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
208  }
209  member_method {
210    name: "get_input_mask_at"
211    argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
212  }
213  member_method {
214    name: "get_input_shape_at"
215    argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
216  }
217  member_method {
218    name: "get_losses_for"
219    argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
220  }
221  member_method {
222    name: "get_output_at"
223    argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
224  }
225  member_method {
226    name: "get_output_mask_at"
227    argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
228  }
229  member_method {
230    name: "get_output_shape_at"
231    argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
232  }
233  member_method {
234    name: "get_updates_for"
235    argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
236  }
237  member_method {
238    name: "get_weights"
239    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
240  }
241  member_method {
242    name: "set_weights"
243    argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
244  }
245  member_method {
246    name: "with_name_scope"
247    argspec: "args=[\'cls\', \'method\'], varargs=None, keywords=None, defaults=None"
248  }
249  member_method {
250    name: "zero_state"
251    argspec: "args=[\'self\', \'batch_size\', \'dtype\'], varargs=None, keywords=None, defaults=None"
252  }
253}
254