tf.train.match_filenames_once()

tf.train.match_filenames_once(pattern, name=None) Save the list of files matching pattern, so it is only computed once. Args: pattern: A file pattern (glob). name: A name for the operations (optional). Returns: A variable that is initialized to the list of files matching pattern.

tf.contrib.learn.monitors.ExportMonitor.end()

tf.contrib.learn.monitors.ExportMonitor.end(session=None)

tf.contrib.bayesflow.stochastic_tensor.CategoricalTensor.value_type

tf.contrib.bayesflow.stochastic_tensor.CategoricalTensor.value_type

tf.contrib.distributions.Multinomial.variance()

tf.contrib.distributions.Multinomial.variance(name='variance') Variance.

tf.WholeFileReader.restore_state()

tf.WholeFileReader.restore_state(state, name=None) Restore a reader to a previously saved state. Not all Readers support being restored, so this can produce an Unimplemented error. Args: state: A string Tensor. Result of a SerializeState of a Reader with matching type. name: A name for the operation (optional). Returns: The created Operation.

tf.contrib.distributions.WishartFull.mean()

tf.contrib.distributions.WishartFull.mean(name='mean') Mean.

tf.contrib.learn.BaseEstimator.model_dir

tf.contrib.learn.BaseEstimator.model_dir

tf.contrib.bayesflow.stochastic_tensor.MultinomialTensor.clone()

tf.contrib.bayesflow.stochastic_tensor.MultinomialTensor.clone(name=None, **dist_args)

tf.contrib.graph_editor.SubGraphView.input_index()

tf.contrib.graph_editor.SubGraphView.input_index(t) Find the input index corresponding to the given input tensor t. Args: t: the input tensor of this subgraph view. Returns: The index in the self.inputs list. Raises: Error: if t in not an input tensor.

tf.contrib.learn.monitors.StepCounter.every_n_step_end()

tf.contrib.learn.monitors.StepCounter.every_n_step_end(current_step, outputs)