tf.contrib.distributions.BernoulliWithSigmoidP.__init__(p=None, dtype=tf.int32, validate_args=False, allow_nan_stats=True, name='BernoulliWithSigmoidP')

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.param_static_shapes(cls, sample_shape) param_shapes with static

tf.SparseTensorValue.shape Alias for field number 2

tf.WholeFileReader.reader_ref Op that implements the reader.

tf.ReaderBase.reader_ref Op that implements the reader.

tf.contrib.distributions.Dirichlet.get_batch_shape() Shape of a single sample from a single event index as a TensorShape

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)