1path: "tensorflow.keras.layers.GRU"
2tf_class {
3  is_instance: "<class \'tensorflow.python.keras.layers.recurrent.GRU\'>"
4  is_instance: "<class \'tensorflow.python.keras.layers.recurrent.RNN\'>"
5  is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
6  is_instance: "<class \'tensorflow.python.training.tracking.base.Trackable\'>"
7  is_instance: "<type \'object\'>"
8  member {
9    name: "activation"
10    mtype: "<type \'property\'>"
11  }
12  member {
13    name: "activity_regularizer"
14    mtype: "<type \'property\'>"
15  }
16  member {
17    name: "bias_constraint"
18    mtype: "<type \'property\'>"
19  }
20  member {
21    name: "bias_initializer"
22    mtype: "<type \'property\'>"
23  }
24  member {
25    name: "bias_regularizer"
26    mtype: "<type \'property\'>"
27  }
28  member {
29    name: "dropout"
30    mtype: "<type \'property\'>"
31  }
32  member {
33    name: "dtype"
34    mtype: "<type \'property\'>"
35  }
36  member {
37    name: "dynamic"
38    mtype: "<type \'property\'>"
39  }
40  member {
41    name: "implementation"
42    mtype: "<type \'property\'>"
43  }
44  member {
45    name: "inbound_nodes"
46    mtype: "<type \'property\'>"
47  }
48  member {
49    name: "input"
50    mtype: "<type \'property\'>"
51  }
52  member {
53    name: "input_mask"
54    mtype: "<type \'property\'>"
55  }
56  member {
57    name: "input_shape"
58    mtype: "<type \'property\'>"
59  }
60  member {
61    name: "kernel_constraint"
62    mtype: "<type \'property\'>"
63  }
64  member {
65    name: "kernel_initializer"
66    mtype: "<type \'property\'>"
67  }
68  member {
69    name: "kernel_regularizer"
70    mtype: "<type \'property\'>"
71  }
72  member {
73    name: "losses"
74    mtype: "<type \'property\'>"
75  }
76  member {
77    name: "name"
78    mtype: "<type \'property\'>"
79  }
80  member {
81    name: "non_trainable_variables"
82    mtype: "<type \'property\'>"
83  }
84  member {
85    name: "non_trainable_weights"
86    mtype: "<type \'property\'>"
87  }
88  member {
89    name: "outbound_nodes"
90    mtype: "<type \'property\'>"
91  }
92  member {
93    name: "output"
94    mtype: "<type \'property\'>"
95  }
96  member {
97    name: "output_mask"
98    mtype: "<type \'property\'>"
99  }
100  member {
101    name: "output_shape"
102    mtype: "<type \'property\'>"
103  }
104  member {
105    name: "recurrent_activation"
106    mtype: "<type \'property\'>"
107  }
108  member {
109    name: "recurrent_constraint"
110    mtype: "<type \'property\'>"
111  }
112  member {
113    name: "recurrent_dropout"
114    mtype: "<type \'property\'>"
115  }
116  member {
117    name: "recurrent_initializer"
118    mtype: "<type \'property\'>"
119  }
120  member {
121    name: "recurrent_regularizer"
122    mtype: "<type \'property\'>"
123  }
124  member {
125    name: "reset_after"
126    mtype: "<type \'property\'>"
127  }
128  member {
129    name: "states"
130    mtype: "<type \'property\'>"
131  }
132  member {
133    name: "trainable_variables"
134    mtype: "<type \'property\'>"
135  }
136  member {
137    name: "trainable_weights"
138    mtype: "<type \'property\'>"
139  }
140  member {
141    name: "units"
142    mtype: "<type \'property\'>"
143  }
144  member {
145    name: "updates"
146    mtype: "<type \'property\'>"
147  }
148  member {
149    name: "use_bias"
150    mtype: "<type \'property\'>"
151  }
152  member {
153    name: "variables"
154    mtype: "<type \'property\'>"
155  }
156  member {
157    name: "weights"
158    mtype: "<type \'property\'>"
159  }
160  member_method {
161    name: "__init__"
162    argspec: "args=[\'self\', \'units\', \'activation\', \'recurrent_activation\', \'use_bias\', \'kernel_initializer\', \'recurrent_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'recurrent_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'recurrent_constraint\', \'bias_constraint\', \'dropout\', \'recurrent_dropout\', \'implementation\', \'return_sequences\', \'return_state\', \'go_backwards\', \'stateful\', \'unroll\', \'reset_after\'], varargs=None, keywords=kwargs, defaults=[\'tanh\', \'hard_sigmoid\', \'True\', \'glorot_uniform\', \'orthogonal\', \'zeros\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'0.0\', \'0.0\', \'1\', \'False\', \'False\', \'False\', \'False\', \'False\', \'False\'], "
163  }
164  member_method {
165    name: "add_loss"
166    argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
167  }
168  member_method {
169    name: "add_metric"
170    argspec: "args=[\'self\', \'value\', \'aggregation\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
171  }
172  member_method {
173    name: "add_update"
174    argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
175  }
176  member_method {
177    name: "add_variable"
178    argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
179  }
180  member_method {
181    name: "add_weight"
182    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\'], "
183  }
184  member_method {
185    name: "apply"
186    argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
187  }
188  member_method {
189    name: "build"
190    argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
191  }
192  member_method {
193    name: "call"
194    argspec: "args=[\'self\', \'inputs\', \'mask\', \'training\', \'initial_state\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
195  }
196  member_method {
197    name: "compute_mask"
198    argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=None"
199  }
200  member_method {
201    name: "compute_output_shape"
202    argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
203  }
204  member_method {
205    name: "count_params"
206    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
207  }
208  member_method {
209    name: "from_config"
210    argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
211  }
212  member_method {
213    name: "get_config"
214    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
215  }
216  member_method {
217    name: "get_initial_state"
218    argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
219  }
220  member_method {
221    name: "get_input_at"
222    argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
223  }
224  member_method {
225    name: "get_input_mask_at"
226    argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
227  }
228  member_method {
229    name: "get_input_shape_at"
230    argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
231  }
232  member_method {
233    name: "get_losses_for"
234    argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
235  }
236  member_method {
237    name: "get_output_at"
238    argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
239  }
240  member_method {
241    name: "get_output_mask_at"
242    argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
243  }
244  member_method {
245    name: "get_output_shape_at"
246    argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
247  }
248  member_method {
249    name: "get_updates_for"
250    argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
251  }
252  member_method {
253    name: "get_weights"
254    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
255  }
256  member_method {
257    name: "reset_states"
258    argspec: "args=[\'self\', \'states\'], varargs=None, keywords=None, defaults=[\'None\'], "
259  }
260  member_method {
261    name: "set_weights"
262    argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
263  }
264}
265