| /external/tensorflow/tensorflow/contrib/learn/python/learn/ |
| D | experiment_test.py | 213 eval_input_fn='eval_input',
225 eval_input_fn='eval_input',
245 eval_input_fn='eval_input',
256 est, train_input_fn='train_input', eval_input_fn='eval_input')
272 est, train_input_fn='train_input', eval_input_fn='eval_input')
298 est, train_input_fn='train_input', eval_input_fn='eval_input')
330 eval_input_fn='eval_input')
346 eval_input_fn='eval_input')
369 eval_input_fn='eval_input')
381 eval_input_fn='eval_input',
[all …]
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| D | experiment.py | 141 eval_input_fn, argument
260 self._eval_input_fn = eval_input_fn
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| /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/state_space_models/ |
| D | structural_ensemble_test.py | 77 eval_input_fn = input_pipeline.WholeDatasetInputFn(
80 first_evaluation = estimator.evaluate(input_fn=eval_input_fn, steps=1)
82 second_evaluation = estimator.evaluate(input_fn=eval_input_fn, steps=1)
120 eval_input_fn = input_pipeline.WholeDatasetInputFn(
122 evaluation = regressor.evaluate(input_fn=eval_input_fn, steps=1)
144 eval_input_fn = input_pipeline.WholeDatasetInputFn(
146 evaluation = regressor.evaluate(input_fn=eval_input_fn, steps=1)
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| D | state_space_model_test.py | 667 eval_input_fn = input_pipeline.WholeDatasetInputFn(
670 estimator.evaluate(input_fn=eval_input_fn, steps=1)
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| /external/tensorflow/tensorflow/contrib/gan/python/estimator/python/ |
| D | stargan_estimator_test.py | 209 eval_input_fn, argument
235 scores = est.evaluate(eval_input_fn)
283 eval_input_fn = numpy_io.numpy_input_fn(
290 eval_input_fn = self._numpy_input_fn_wrapper(eval_input_fn, batch_size,
300 eval_input_fn=eval_input_fn,
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| D | gan_estimator_test.py | 214 self, train_input_fn, eval_input_fn, predict_input_fn, prediction_size, argument
238 scores = est.evaluate(eval_input_fn)
261 eval_input_fn = numpy_io.numpy_input_fn(
273 eval_input_fn=eval_input_fn,
288 eval_input_fn = numpy_io.numpy_input_fn(
300 eval_input_fn=eval_input_fn,
349 eval_input_fn=_eval_input_fn,
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| D | tpu_gan_estimator_test.py | 155 self, train_input_fn, eval_input_fn, predict_input_fn, prediction_size, argument
185 scores = est.evaluate(eval_input_fn, steps=num_steps_eval)
216 def eval_input_fn(params): function
239 eval_input_fn=eval_input_fn,
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| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| D | dynamic_rnn_estimator_test.py | 404 eval_input_fn = get_shift_input_fn(batch_size, sequence_length, seed=32123)
409 input_fn=eval_input_fn, as_iterable=False)
556 eval_input_fn = get_sin_input_fn(
561 input_fn=eval_input_fn, steps=eval_steps)['loss']
617 eval_input_fn = get_shift_input_fn(batch_size, sequence_length, seed=32123)
622 input_fn=eval_input_fn, steps=eval_steps)
630 input_fn=eval_input_fn, as_iterable=False)
697 eval_input_fn = get_mean_input_fn(batch_size, sequence_length, 212)
701 input_fn=eval_input_fn, steps=eval_steps)
756 eval_input_fn = get_majority_input_fn(batch_size, sequence_length, 2222)
[all …]
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| D | state_saving_rnn_estimator_test.py | 511 eval_input_fn = get_sin_input_fn(sequence_length, np.pi / 32, seed=4321)
515 input_fn=eval_input_fn, steps=eval_steps)['loss']
569 eval_input_fn = get_shift_input_fn(sequence_length, seed=32123)
574 input_fn=eval_input_fn, steps=eval_steps)
582 input_fn=eval_input_fn, as_iterable=False)
652 eval_input_fn = get_lyrics_input_fn(seed=32123)
657 input_fn=eval_input_fn, steps=eval_steps)
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| D | debug_test.py | 210 eval_input_fn=test_data.iris_input_multiclass_fn)
620 eval_input_fn=test_data.iris_input_logistic_fn)
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| D | dnn_test.py | 177 eval_input_fn=test_data.iris_input_multiclass_fn)
229 eval_input_fn=test_data.iris_input_multiclass_fn)
1042 eval_input_fn=test_data.iris_input_logistic_fn)
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| /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/ |
| D | estimators_test.py | 68 eval_input_fn = input_pipeline.RandomWindowInputFn(
73 input_fn=eval_input_fn, steps=1)
79 input_fn=eval_input_fn, steps=1)["loss"]
255 eval_input_fn = input_pipeline.RandomWindowInputFn(
260 input_fn=eval_input_fn, steps=1)
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| D | test_utils.py | 117 eval_input_fn = input_pipeline.WholeDatasetInputFn(time_series_reader)
123 feature_dict, _ = eval_input_fn()
162 input_fn=eval_input_fn, steps=1))["loss"]
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| /external/tensorflow/tensorflow/contrib/boosted_trees/examples/ |
| D | binary_mnist.py | 103 eval_input_fn = get_input_fn(data.validation, FLAGS.eval_batch_size)
108 eval_input_fn=eval_input_fn,
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| D | mnist.py | 105 eval_input_fn = get_input_fn(data.validation, FLAGS.eval_batch_size)
110 eval_input_fn=eval_input_fn,
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| D | boston_combined.py | 89 eval_input_fn = tf.compat.v1.estimator.inputs.numpy_input_fn(
103 eval_input_fn=eval_input_fn,
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| D | boston.py | 99 eval_input_fn = tf.compat.v1.estimator.inputs.numpy_input_fn(
119 eval_input_fn=eval_input_fn,
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| /external/tensorflow/tensorflow/contrib/distribute/python/ |
| D | estimator_integration_test.py | 81 eval_input_fn = self.dataset_input_fn(
113 training.EvalSpec(eval_input_fn))
116 scores = estimator.evaluate(eval_input_fn)
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| D | estimator_training_test.py | 175 eval_input_fn = self.dataset_input_fn(
188 input_fn=eval_input_fn,
203 metrics = estimator.evaluate(eval_input_fn,
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| D | keras_test.py | 420 def eval_input_fn(): function
434 distribution, train_input_fn, eval_input_fn)
437 self, distribution, train_input_fn, eval_input_fn): argument
446 input_fn=eval_input_fn, steps=1)
448 eval_results = est_keras.evaluate(input_fn=eval_input_fn, steps=1)
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| /external/tensorflow/tensorflow/contrib/distribute/python/examples/ |
| D | simple_estimator_example.py | 81 def eval_input_fn(): function
86 eval_result = estimator.evaluate(input_fn=eval_input_fn, steps=steps)
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| /external/tensorflow/tensorflow/examples/tutorials/layers/ |
| D | cnn_mnist.py | 149 eval_input_fn = tf.compat.v1.estimator.inputs.numpy_input_fn(
151 eval_results = mnist_classifier.evaluate(input_fn=eval_input_fn)
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| /external/tensorflow/tensorflow/contrib/eager/python/examples/revnet/ |
| D | main_estimator.py | 163 eval_input_fn = get_input_fn(
168 revnet_estimator.evaluate(input_fn=eval_input_fn)
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| /external/tensorflow/tensorflow/contrib/kernel_methods/g3doc/ |
| D | tutorial.md | 73 eval_input_fn = get_input_fn(data.validation, batch_size=5000)
104 eval_metrics = estimator.evaluate(input_fn=eval_input_fn, steps=1)
207 eval_metrics = estimator.evaluate(input_fn=eval_input_fn, steps=1)
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| /external/tensorflow/tensorflow/contrib/distribute/ |
| D | README.md | 252 eval_spec = tf.estimator.EvalSpec(input_fn=eval_input_fn)
330 eval_spec = tf.estimator.EvalSpec(input_fn=eval_input_fn)
|