tf.ReaderBase.num_records_produced(name=None) Returns the number of records this reader has produced. This is the same as the number of Read executions that have succeeded. Args: name: A name for the operation (optional). Returns: An int64 Tensor.

tf.IdentityReader.num_work_units_completed(name=None) Returns the number of work units this reader has finished processing. Args: name: A name for the operation (optional). Returns: An int64 Tensor.

tf.ReaderBase.num_work_units_completed(name=None) Returns the number of work units this reader has finished processing. Args: name: A name for the operation (optional). Returns: An int64 Tensor.

class tf.contrib.bayesflow.stochastic_tensor.InverseGammaTensor InverseGammaTensor is a StochasticTensor backed by the distribution InverseGamma.

tf.contrib.graph_editor.reroute_b2a(sgv0, sgv1) Re-route the inputs and outputs of sgv1 to sgv0 (see _reroute).

class tf.errors.AbortedError The operation was aborted, typically due to a concurrent action. For example, running a queue.enqueue() operation may raise AbortedError if a queue.close() operation previously ran.

tf.contrib.framework.get_local_variables(scope=None, suffix=None) Gets the list of model variables, filtered by scope and/or suffix. Args: scope: an optional scope for filtering the variables to return. suffix: an optional suffix for filtering the variables to return. Returns: a list of variables in collection with scope and suffix.

tf.contrib.framework.get_variables_by_name(given_name, scope=None) Gets the list of variables that were given that name. Args: given_name: name given to the variable without any scope. scope: an optional scope for filtering the variables to return. Returns: a copied list of variables with the given name and scope.

tf.contrib.distributions.BaseDistribution.log_prob(value, name='log_prob') Log probability density/mass function (depending on is_continuous). Args: value: float or double Tensor. name: The name to give this op. Returns: log_prob: a Tensor of shape sample_shape(x) + self.batch_shape with values of type self.dtype.

tf.WholeFileReader.num_records_produced(name=None) Returns the number of records this reader has produced. This is the same as the number of Read executions that have succeeded. Args: name: A name for the operation (optional). Returns: An int64 Tensor.