tf.WholeFileReader.__init__()

tf.WholeFileReader.__init__(name=None) Create a WholeFileReader. Args: name: A name for the operation (optional).

tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor.input_dict

tf.contrib.learn.DNNRegressor.get_variable_value()

tf.contrib.learn.DNNRegressor.get_variable_value(name) Returns value of the variable given by name. Args: name: string, name of the tensor. Returns: Numpy array - value of the tensor.

tf.Session.as_default()

tf.Session.as_default() Returns a context manager that makes this object the default session. Use with the with keyword to specify that calls to Operation.run() or Tensor.eval() should be executed in this session. c = tf.constant(..) sess = tf.Session() with sess.as_default(): assert tf.get_default_session() is sess print(c.eval()) To get the current default session, use tf.get_default_session(). N.B. The as_default context manager does not close the session when you exit the context, an

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor.input_dict

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

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

tf.contrib.distributions.Binomial.n

tf.contrib.distributions.Binomial.n Number of trials.

tf.contrib.framework.arg_scoped_arguments()

tf.contrib.framework.arg_scoped_arguments(func) Returns the list kwargs that arg_scope can set for a func. Args: func: function which has been decorated with @add_arg_scope. Returns: a list of kwargs names.

tensorflow::WritableFile::Flush()

virtual Status tensorflow::WritableFile::Flush()=0

tf.contrib.distributions.StudentT.get_event_shape()

tf.contrib.distributions.StudentT.get_event_shape() Shape of a single sample from a single batch as a TensorShape. Same meaning as event_shape. May be only partially defined. Returns: event_shape: TensorShape, possibly unknown.