| /external/tensorflow/tensorflow/contrib/learn/python/learn/ |
| D | experiment_test.py | 212 train_steps='train_steps',
226 train_steps=100,
244 train_steps='train_steps',
441 train_steps=100)
533 train_steps=100,
572 train_steps=100,
580 train_steps=100,
598 train_steps=100,
643 train_steps=100,
666 train_steps=100,
[all …]
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| D | experiment.py | 143 train_steps=None, argument
262 self._train_steps = train_steps
291 def train_steps(self): member in Experiment
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| /external/tensorflow/tensorflow/contrib/gan/python/ |
| D | train.py | 1047 def __init__(self, train_ops, train_steps): argument
1057 self._train_steps = train_steps
1064 def get_sequential_train_hooks(train_steps=namedtuples.GANTrainSteps(1, 1)): argument
1077 train_steps.generator_train_steps)
1079 train_steps.discriminator_train_steps)
1085 def _num_joint_steps(train_steps): argument
1086 g_steps = train_steps.generator_train_steps
1087 d_steps = train_steps.discriminator_train_steps
1096 def get_joint_train_hooks(train_steps=namedtuples.GANTrainSteps(1, 1)): argument
1130 num_d_and_g_steps, num_g_steps, num_d_steps = _num_joint_steps(train_steps)
[all …]
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| D | train_test.py | 1046 train_steps = namedtuples.GANTrainSteps(
1050 get_hooks_fn=get_hooks_fn_fn(train_steps),
1063 train_steps = namedtuples.GANTrainSteps(
1071 train_step_fn=train.get_sequential_train_steps(train_steps))
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| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| D | dynamic_rnn_estimator_test.py | 359 train_steps = 5
406 sequence_estimator.fit(input_fn=train_input_fn, steps=train_steps)
420 train_steps = 121
463 sequence_estimator.fit(input_fn=train_input_fn, steps=train_steps)
512 train_steps = 200
559 sequence_estimator.fit(input_fn=train_input_fn, steps=train_steps)
574 train_steps = 200
619 sequence_estimator.fit(input_fn=train_input_fn, steps=train_steps)
649 train_steps = 200
699 sequence_estimator.fit(input_fn=train_input_fn, steps=train_steps)
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| D | state_saving_rnn_estimator_test.py | 470 train_steps = 250
513 sequence_estimator.fit(input_fn=train_input_fn, steps=train_steps)
530 train_steps = 300
571 sequence_estimator.fit(input_fn=train_input_fn, steps=train_steps)
603 train_steps = 350
654 sequence_estimator.fit(input_fn=train_input_fn, steps=train_steps)
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| /external/tensorflow/tensorflow/contrib/timeseries/examples/ |
| D | known_anomaly.py | 85 estimator_fn, csv_file_name=_DATA_FILE, train_steps=300): argument
114 estimator.train(input_fn=train_input_fn, steps=train_steps)
175 estimator_fn=autoregressive_estimator, train_steps=3000))
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| D | known_anomaly_test.py | 31 train_steps=1, estimator_fn=known_anomaly.autoregressive_estimator)
43 train_steps=50, estimator_fn=known_anomaly.state_space_estimator)
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| /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/ |
| D | ar_model_test.py | 88 max_loss=None, train_steps=200, argument
136 steps=train_steps)
183 train_steps=350,
197 train_steps=300,
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| /external/tensorflow/tensorflow/python/debug/examples/ |
| D | debug_tflearn_iris.py | 131 steps=FLAGS.train_steps,
140 (FLAGS.train_steps, accuracy_score))
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| D | examples_test.sh | 90 cat << EOF | ${DEBUG_TFLEARN_IRIS_BIN} --debug --fake_data --train_steps=2 --dump_root="${CUSTOM_DU…
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| /external/tensorflow/tensorflow/contrib/boosted_trees/estimator_batch/ |
| D | trainer_hooks.py | 204 def __init__(self, first_train_op, train_steps, second_train_op): argument
208 self._train_steps = train_steps
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| /external/tensorflow/tensorflow/contrib/tpu/ |
| D | README.md | 41 estimator.train(input_fn=input_fn, max_steps=FLAGS.train_steps)
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| D | tpu_estimator.md | 117 max_steps=FLAGS.train_steps)
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| /external/tensorflow/tensorflow/contrib/boosted_trees/examples/ |
| D | binary_mnist.py | 109 train_steps=None,
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| D | mnist.py | 111 train_steps=None,
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| D | boston_combined.py | 104 train_steps=None,
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| D | boston.py | 120 train_steps=None,
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| /external/tensorflow/tensorflow/lite/experimental/examples/lstm/g3doc/ |
| D | README.md | 219 train_steps=2000,
253 for i in range(train_steps):
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| /external/tensorflow/tensorflow/python/profiler/ |
| D | model_analyzer_test.py | 589 def _trainLoop(self, train_op, train_steps, time_dir, time_step, argument
594 for i in range(1, train_steps + 1):
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| /external/tensorflow/tensorflow/contrib/autograph/examples/notebooks/ |
| D | dev_summit_2018_demo.ipynb | 1230 …rain_model(train_data, eval_data, batch_size, lower_cell, upper_cell, relu_layer, train_steps):\n",
1233 …train_data, lower_cell, upper_cell, relu_layer, batch_size, num_steps=tf.constant(train_steps))\n",
1875 … " train_data, eval_data, batch_size, lower_cell, upper_cell, relu_layer, train_steps=100)\n",
|