1 path: "tensorflow.keras.Model" 2 tf_class { 3 is_instance: "<class \'tensorflow.python.keras.engine.training.Model\'>" 4 is_instance: "<class \'tensorflow.python.keras.engine.network.Network\'>" 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: "activity_regularizer" 10 mtype: "<type \'property\'>" 11 } 12 member { 13 name: "dtype" 14 mtype: "<type \'property\'>" 15 } 16 member { 17 name: "dynamic" 18 mtype: "<type \'property\'>" 19 } 20 member { 21 name: "inbound_nodes" 22 mtype: "<type \'property\'>" 23 } 24 member { 25 name: "input" 26 mtype: "<type \'property\'>" 27 } 28 member { 29 name: "input_mask" 30 mtype: "<type \'property\'>" 31 } 32 member { 33 name: "input_shape" 34 mtype: "<type \'property\'>" 35 } 36 member { 37 name: "input_spec" 38 mtype: "<type \'property\'>" 39 } 40 member { 41 name: "layers" 42 mtype: "<type \'property\'>" 43 } 44 member { 45 name: "losses" 46 mtype: "<type \'property\'>" 47 } 48 member { 49 name: "metrics" 50 mtype: "<type \'property\'>" 51 } 52 member { 53 name: "metrics_names" 54 mtype: "<type \'property\'>" 55 } 56 member { 57 name: "name" 58 mtype: "<type \'property\'>" 59 } 60 member { 61 name: "non_trainable_variables" 62 mtype: "<type \'property\'>" 63 } 64 member { 65 name: "non_trainable_weights" 66 mtype: "<type \'property\'>" 67 } 68 member { 69 name: "outbound_nodes" 70 mtype: "<type \'property\'>" 71 } 72 member { 73 name: "output" 74 mtype: "<type \'property\'>" 75 } 76 member { 77 name: "output_mask" 78 mtype: "<type \'property\'>" 79 } 80 member { 81 name: "output_shape" 82 mtype: "<type \'property\'>" 83 } 84 member { 85 name: "run_eagerly" 86 mtype: "<type \'property\'>" 87 } 88 member { 89 name: "state_updates" 90 mtype: "<type \'property\'>" 91 } 92 member { 93 name: "stateful" 94 mtype: "<type \'property\'>" 95 } 96 member { 97 name: "trainable_variables" 98 mtype: "<type \'property\'>" 99 } 100 member { 101 name: "trainable_weights" 102 mtype: "<type \'property\'>" 103 } 104 member { 105 name: "updates" 106 mtype: "<type \'property\'>" 107 } 108 member { 109 name: "variables" 110 mtype: "<type \'property\'>" 111 } 112 member { 113 name: "weights" 114 mtype: "<type \'property\'>" 115 } 116 member_method { 117 name: "__init__" 118 argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" 119 } 120 member_method { 121 name: "add_loss" 122 argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " 123 } 124 member_method { 125 name: "add_metric" 126 argspec: "args=[\'self\', \'value\', \'aggregation\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " 127 } 128 member_method { 129 name: "add_update" 130 argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " 131 } 132 member_method { 133 name: "add_variable" 134 argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" 135 } 136 member_method { 137 name: "add_weight" 138 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\'], " 139 } 140 member_method { 141 name: "apply" 142 argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" 143 } 144 member_method { 145 name: "build" 146 argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" 147 } 148 member_method { 149 name: "call" 150 argspec: "args=[\'self\', \'inputs\', \'training\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " 151 } 152 member_method { 153 name: "compile" 154 argspec: "args=[\'self\', \'optimizer\', \'loss\', \'metrics\', \'loss_weights\', \'sample_weight_mode\', \'weighted_metrics\', \'target_tensors\', \'distribute\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], " 155 } 156 member_method { 157 name: "compute_mask" 158 argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=None" 159 } 160 member_method { 161 name: "compute_output_shape" 162 argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" 163 } 164 member_method { 165 name: "count_params" 166 argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 167 } 168 member_method { 169 name: "evaluate" 170 argspec: "args=[\'self\', \'x\', \'y\', \'batch_size\', \'verbose\', \'sample_weight\', \'steps\', \'callbacks\', \'max_queue_size\', \'workers\', \'use_multiprocessing\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'1\', \'None\', \'None\', \'None\', \'10\', \'1\', \'False\'], " 171 } 172 member_method { 173 name: "evaluate_generator" 174 argspec: "args=[\'self\', \'generator\', \'steps\', \'callbacks\', \'max_queue_size\', \'workers\', \'use_multiprocessing\', \'verbose\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'10\', \'1\', \'False\', \'0\'], " 175 } 176 member_method { 177 name: "fit" 178 argspec: "args=[\'self\', \'x\', \'y\', \'batch_size\', \'epochs\', \'verbose\', \'callbacks\', \'validation_split\', \'validation_data\', \'shuffle\', \'class_weight\', \'sample_weight\', \'initial_epoch\', \'steps_per_epoch\', \'validation_steps\', \'validation_freq\', \'max_queue_size\', \'workers\', \'use_multiprocessing\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'1\', \'1\', \'None\', \'0.0\', \'None\', \'True\', \'None\', \'None\', \'0\', \'None\', \'None\', \'1\', \'10\', \'1\', \'False\'], " 179 } 180 member_method { 181 name: "fit_generator" 182 argspec: "args=[\'self\', \'generator\', \'steps_per_epoch\', \'epochs\', \'verbose\', \'callbacks\', \'validation_data\', \'validation_steps\', \'validation_freq\', \'class_weight\', \'max_queue_size\', \'workers\', \'use_multiprocessing\', \'shuffle\', \'initial_epoch\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'1\', \'None\', \'None\', \'None\', \'1\', \'None\', \'10\', \'1\', \'False\', \'True\', \'0\'], " 183 } 184 member_method { 185 name: "from_config" 186 argspec: "args=[\'cls\', \'config\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], " 187 } 188 member_method { 189 name: "get_config" 190 argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 191 } 192 member_method { 193 name: "get_input_at" 194 argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" 195 } 196 member_method { 197 name: "get_input_mask_at" 198 argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" 199 } 200 member_method { 201 name: "get_input_shape_at" 202 argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" 203 } 204 member_method { 205 name: "get_layer" 206 argspec: "args=[\'self\', \'name\', \'index\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " 207 } 208 member_method { 209 name: "get_losses_for" 210 argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" 211 } 212 member_method { 213 name: "get_output_at" 214 argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" 215 } 216 member_method { 217 name: "get_output_mask_at" 218 argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" 219 } 220 member_method { 221 name: "get_output_shape_at" 222 argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" 223 } 224 member_method { 225 name: "get_updates_for" 226 argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" 227 } 228 member_method { 229 name: "get_weights" 230 argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 231 } 232 member_method { 233 name: "load_weights" 234 argspec: "args=[\'self\', \'filepath\', \'by_name\'], varargs=None, keywords=None, defaults=[\'False\'], " 235 } 236 member_method { 237 name: "predict" 238 argspec: "args=[\'self\', \'x\', \'batch_size\', \'verbose\', \'steps\', \'callbacks\', \'max_queue_size\', \'workers\', \'use_multiprocessing\'], varargs=None, keywords=None, defaults=[\'None\', \'0\', \'None\', \'None\', \'10\', \'1\', \'False\'], " 239 } 240 member_method { 241 name: "predict_generator" 242 argspec: "args=[\'self\', \'generator\', \'steps\', \'callbacks\', \'max_queue_size\', \'workers\', \'use_multiprocessing\', \'verbose\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'10\', \'1\', \'False\', \'0\'], " 243 } 244 member_method { 245 name: "predict_on_batch" 246 argspec: "args=[\'self\', \'x\'], varargs=None, keywords=None, defaults=None" 247 } 248 member_method { 249 name: "reset_metrics" 250 argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 251 } 252 member_method { 253 name: "reset_states" 254 argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" 255 } 256 member_method { 257 name: "save" 258 argspec: "args=[\'self\', \'filepath\', \'overwrite\', \'include_optimizer\'], varargs=None, keywords=None, defaults=[\'True\', \'True\'], " 259 } 260 member_method { 261 name: "save_weights" 262 argspec: "args=[\'self\', \'filepath\', \'overwrite\', \'save_format\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], " 263 } 264 member_method { 265 name: "set_weights" 266 argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" 267 } 268 member_method { 269 name: "summary" 270 argspec: "args=[\'self\', \'line_length\', \'positions\', \'print_fn\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], " 271 } 272 member_method { 273 name: "test_on_batch" 274 argspec: "args=[\'self\', \'x\', \'y\', \'sample_weight\', \'reset_metrics\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'True\'], " 275 } 276 member_method { 277 name: "to_json" 278 argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None" 279 } 280 member_method { 281 name: "to_yaml" 282 argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None" 283 } 284 member_method { 285 name: "train_on_batch" 286 argspec: "args=[\'self\', \'x\', \'y\', \'sample_weight\', \'class_weight\', \'reset_metrics\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\'], " 287 } 288 } 289
