tf.ReaderBase.reader_ref Op that implements the reader.

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.prob(value, name='prob') Probability density/mass function (depending

tf.contrib.distributions.InverseGamma.validate_args Python boolean indicated possibly expensive checks are enabled.

tf.contrib.distributions.Exponential.allow_nan_stats Python boolean describing behavior when a stat is undefined.

tf.contrib.distributions.Binomial.prob(value, name='prob') Probability density/mass function (depending on is_continuous)

tf.contrib.distributions.NormalWithSoftplusSigma.survival_function(value, name='survival_function') Survival function.

tf.contrib.distributions.NormalWithSoftplusSigma.cdf(value, name='cdf') Cumulative distribution function. Given

tf.contrib.graph_editor.OpMatcher.__call__(op) Evaluate if the op matches or not.

tf.contrib.distributions.LaplaceWithSoftplusScale.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape)

tf.InteractiveSession.__init__(target='', graph=None, config=None) Creates a new interactive TensorFlow session.