tf.ReaderBase.serialize_state(name=None) Produce a string tensor that encodes the state of a reader. Not all Readers support being serialized, so this can produce an Unimplemented error. Args: name: A name for the operation (optional). Returns: A string Tensor.

tf.contrib.distributions.WishartCholesky.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of parameters given the desired shape of a call to sample(). Subclasses should override static method _param_shapes. Args: sample_shape: Tensor or python list/tuple. Desired shape of a call to sample(). name: name to prepend ops with. Returns: dict of parameter name to Tensor shapes.

tf.contrib.distributions.MultivariateNormalCholesky.sigma_det(name='sigma_det') Determinant of covariance matrix.

class tf.contrib.distributions.TransformedDistribution A Transformed Distribution. A Transformed Distribution models p(y) given a base distribution p(x), an invertible transform, y = f(x), and the determinant of the Jacobian of f(x). Shapes, type, and reparameterization are taken from the base distribution.

tf.contrib.graph_editor.add_control_inputs(op, cops) Add the control inputs cops to co. Warning: this function is directly manipulating the internals of the tf.Graph. Args: op: a tf.Operation to which the control inputs are added. cops: an object convertible to a list of tf.Operation. Raises: TypeError: if op is not a tf.Operation ValueError: if any cop in cops is already a control input of op.

tf.contrib.distributions.Chi2WithAbsDf.alpha Shape parameter.

tf.contrib.distributions.Exponential.parameters Dictionary of parameters used by this Distribution.

tf.FixedLenSequenceFeature.__new__(_cls, shape, dtype, allow_missing=False) Create new instance of FixedLenSequenceFeature(shape, dtype, allow_missing)

tf.contrib.distributions.NormalWithSoftplusSigma.parameters Dictionary of parameters used by this Distribution.

tf.contrib.distributions.WishartFull.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.