/external/tensorflow/tensorflow/contrib/data/python/kernel_tests/ |
sql_dataset_op_test.py | 38 init_op = iterator.initializer 40 return init_op, get_next 97 init_op, get_next = self._createSqlDataset((dtypes.string, dtypes.string, 102 init_op, 115 init_op, get_next = self._createSqlDataset((dtypes.string, dtypes.string, 119 init_op, 134 init_op, get_next = self._createSqlDataset((dtypes.string, dtypes.string, 138 init_op, 153 init_op, get_next = self._createSqlDataset((dtypes.string, dtypes.string, 157 init_op, [all...] |
range_dataset_op_test.py | 46 init_op = iterator.initializer 55 sess.run(init_op) 111 init_op = iterator.initializer 115 return init_op, get_next, save_op, restore_op 122 init_op, get_next, save_op, _ = _build_graph(start, stop) 125 sess.run(init_op) 131 init_op, get_next, _, restore_op = _build_graph(start, stop) 133 sess.run(init_op) 142 init_op, get_next, save_op, restore_op = _build_graph(start, stop) 145 sess.run(init_op) [all...] |
dataset_serialization_test_base.py | 248 # Restore from checkpoint and then run init_op. 251 init_op, get_next_op = self._get_iterator_ops_from_collection( 256 self._initialize(init_op, sess) 409 init_op, get_next_op, saver = self._build_graph( 413 self._initialize(init_op, sess) 502 init_op, get_next_op = self._get_iterator_ops_from_collection( 505 init_op, get_next_op, saver = self._build_graph( 508 return init_op, get_next_op, saver 512 init_op, get_next_op, saver = get_ops() 517 self._initialize(init_op, sess [all...] |
bucketing_test.py | 45 init_op = iterator.initializer 49 sess.run(init_op) 72 init_op = iterator.initializer 76 sess.run(init_op) 93 init_op = iterator.initializer 97 sess.run(init_op) 121 init_op = iterator.initializer 125 sess.run(init_op) 149 init_op = iterator.initializer 153 sess.run(init_op) [all...] |
batch_dataset_op_test.py | 51 init_op = iterator.initializer 55 sess.run(init_op) 79 init_op = iterator.initializer 83 sess.run(init_op) 117 init_op = iterator.initializer 122 sess.run(init_op, feed_dict={input_tensor: [[1]]}) 128 sess.run(init_op, feed_dict={input_tensor: range(13)}) 227 init_op = iterator.initializer 231 sess.run(init_op) 335 init_op = iterator.initialize [all...] |
interleave_dataset_op_test.py | 147 self.init_op = self.iterator.initializer 241 self.init_op, 276 self.init_op, 307 self.init_op, 351 self.init_op, 393 self.init_op, 438 self.init_op, 478 self.init_op, 501 self.init_op, 526 self.init_op, [all...] |
resample_test.py | 49 init_op = iterator.initializer 53 sess.run(init_op)
|
/external/tensorflow/tensorflow/python/data/kernel_tests/ |
prefetch_dataset_op_test.py | 33 init_op = iterator.initializer 37 sess.run(init_op, feed_dict={buffer_size: 5}) 47 init_op = iterator.initializer 51 sess.run(init_op, feed_dict={buffer_size: 0}) 55 sess.run(init_op, feed_dict={buffer_size: -5})
|
sequence_dataset_op_test.py | 35 # runs (i.e. `init_op` below) to configure the number of 41 init_op = iterator.initializer 49 sess.run(init_op, feed_dict={count_placeholder: 3}) 59 sess.run(init_op, feed_dict={count_placeholder: 7}) 68 sess.run(init_op, feed_dict={count_placeholder: 0}) 75 sess.run(init_op, feed_dict={count_placeholder: -1}) 87 init_op = iterator.initializer 95 sess.run(init_op, feed_dict={count_placeholder: 4}) 104 sess.run(init_op, feed_dict={count_placeholder: 25}) 113 sess.run(init_op, feed_dict={count_placeholder: -1} [all...] |
range_dataset_op_test.py | 49 init_op = iterator.initializer 53 sess.run(init_op, feed_dict={stop: 5}) 64 init_op = iterator.initializer 68 sess.run(init_op, feed_dict={start: 2, stop: 5}) 80 init_op = iterator.initializer 84 sess.run(init_op, feed_dict={start: 2, stop: 10, step: 2}) 96 init_op = iterator.initializer 100 sess.run(init_op, feed_dict={start: 2, stop: 10, step: 0}) 108 init_op = iterator.initializer 112 sess.run(init_op, feed_dict={start: 2, stop: 10, step: -1} [all...] |
interleave_dataset_op_test.py | 113 init_op = iterator.initializer 118 sess.run(init_op, feed_dict={input_values: [4, 5, 6], 128 sess.run(init_op, feed_dict={input_values: [4, 5, 6], 139 sess.run(init_op, feed_dict={input_values: [4, 5, 6], 150 sess.run(init_op, feed_dict={input_values: [4, 5, 6], 159 sess.run(init_op, feed_dict={input_values: [], 165 sess.run(init_op, feed_dict={input_values: [0, 0, 0], 171 sess.run(init_op, feed_dict={input_values: [4, 0, 6], 192 init_op = iterator.initializer 196 sess.run(init_op) [all...] |
map_dataset_op_test.py | 65 init_op = iterator.initializer 73 sess.run(init_op, feed_dict={count: 14}) 83 sess.run(init_op, feed_dict={count: 18}) 131 init_op = iterator.initializer 140 sess.run(init_op, feed_dict={ 153 sess.run(init_op, feed_dict={ 199 init_op = iterator.initializer 203 sess.run(init_op) 214 init_op = iterator.initializer 218 sess.run(init_op) [all...] |
flat_map_dataset_op_test.py | 43 init_op = iterator.initializer 47 sess.run(init_op) 62 init_op = iterator.initializer 66 sess.run(init_op) 84 init_op = iterator.initializer 96 sess.run(init_op) 113 init_op = iterator.initializer 117 sess.run(init_op) 137 init_op = iterator.initializer 141 sess.run(init_op) [all...] |
dataset_from_generator_op_test.py | 38 init_op = iterator.initializer 43 sess.run(init_op) 125 init_op = iterator.initializer 129 sess.run(init_op) 184 init_op = iterator.initializer 188 sess.run(init_op) 205 init_op = iterator.initializer 211 sess.run(init_op) 228 init_op = iterator.initializer 232 sess.run(init_op) [all...] |
filter_dataset_op_test.py | 52 init_op = iterator.initializer 62 sess.run(init_op, feed_dict={count: count_val, modulus: modulus_val}) 94 init_op = iterator.initializer 98 sess.run(init_op) 119 init_op = iterator.initializer 123 sess.run(init_op) 147 init_op = iterator.initializer 151 sess.run(init_op)
|
zip_dataset_op_test.py | 45 init_op = iterator.initializer 54 sess.run(init_op, feed_dict={ph: value for ph, value in zip( 65 sess.run(init_op, feed_dict={ph: value for ph, value in zip( 89 init_op = iterator.initializer 102 sess.run(init_op, feed_dict={ph: value for ph, value in zip(
|
reader_dataset_ops_test.py | 90 init_op = iterator.make_initializer(repeat_dataset) 97 init_op, feed_dict={filenames: [test_filenames[0]], 106 init_op, feed_dict={filenames: [test_filenames[1]], 114 sess.run(init_op, feed_dict={filenames: test_filenames, num_epochs: 1}) 122 sess.run(init_op, feed_dict={filenames: test_filenames, num_epochs: 10}) 202 init_op = iterator.make_initializer(repeat_dataset) 209 init_op, feed_dict={filenames: [test_filenames[0]], 218 init_op, feed_dict={filenames: [test_filenames[1]], 226 sess.run(init_op, feed_dict={filenames: test_filenames, num_epochs: 1}) 234 sess.run(init_op, feed_dict={filenames: test_filenames, num_epochs: 10} [all...] |
batch_dataset_op_test.py | 57 init_op = iterator.initializer 66 sess.run(init_op, feed_dict={count: 28, batch_size: 14}) 79 sess.run(init_op, feed_dict={count: 14, batch_size: 8}) 98 sess.run(init_op, feed_dict={count: 0, batch_size: 8}) 104 sess.run(init_op, feed_dict={count: 14, batch_size: 0}) 119 init_op = iterator.initializer 123 sess.run(init_op) 146 init_op = iterator.initializer 150 sess.run(init_op) 176 init_op = iterator.initialize [all...] |
dataset_constructor_op_test.py | 47 init_op = iterator.initializer 54 sess.run(init_op) 80 init_op = iterator.initializer 88 sess.run(init_op) 110 init_op = iterator.initializer 119 sess.run(init_op) 139 init_op = iterator.initializer 146 sess.run(init_op) 168 init_op = iterator.initializer 176 sess.run(init_op) [all...] |
/external/tensorflow/tensorflow/contrib/model_pruning/python/ |
learning.py | 69 init_op=_USE_DEFAULT, 115 init_op: The initialization operation. If left to its default value, then 117 init_feed_dict: A feed dictionary to use when executing the `init_op`. 121 init_fn: An optional callable to be executed after `init_op` is called. The 173 init_op=init_op,
|
/external/tensorflow/tensorflow/contrib/kafka/python/kernel_tests/ |
kafka_test.py | 53 init_op = iterator.make_initializer(repeat_dataset) 59 sess.run(init_op, feed_dict={topics: ["test:0:0:4"], num_epochs: 1}) 66 sess.run(init_op, feed_dict={topics: ["test:0:5:-1"], num_epochs: 1}) 74 init_op, 87 init_op,
|
/external/tensorflow/tensorflow/tools/dist_test/python/ |
mnist_replica.py | 191 init_op = tf.global_variables_initializer() 198 init_op=init_op, 207 init_op=init_op,
|
/external/tensorflow/tensorflow/contrib/session_bundle/example/ |
export_half_plus_two.py | 118 init_op = tf.group(assign_asset_path, assign_filename1, assign_filename2) 132 init_op=init_op,
|
/external/tensorflow/tensorflow/python/training/ |
session_manager.py | 67 sess = sm.prepare_session(master, init_op, saver, checkpoint_dir) 73 `prepare_session()` initializes or restores a model. It requires `init_op` 213 init_op=None, 232 either running the provided `init_op`, or calling the provided `init_fn`. 233 The local_init_op is also run after init_op and init_fn, regardless of 237 It is an error if the model cannot be recovered and no `init_op` 242 init_op: Optional `Operation` used to initialize the model. 254 optional `init_op` is called. The callable must accept one argument, 277 if init_op is None and not init_fn and self._local_init_op is None: 278 raise RuntimeError("Model is not initialized and no init_op or [all...] |
/external/tensorflow/tensorflow/python/grappler/ |
memory_optimizer_test.py | 124 init_op = variables.global_variables_initializer() 126 return (metagraph, init_op.name, train_op.name, loss.name) 191 init_op = graph.get_operation_by_name(init_op_name) 195 sess.run(init_op) 245 init_op = variables.global_variables_initializer() 246 return graph, init_op, train_op 251 graph, init_op, train_op = self._annotated_graph() 259 sess.run(init_op)
|