tf.contrib.distributions.BernoulliWithSigmoidP.allow_nan_stats Python boolean describing behavior when a stat is undefined. Stats return +/- infinity when it makes sense. E.g., the variance of a Cauchy distribution is infinity. However, sometimes the statistic is undefined, e.g., if a distribution's pdf does not achieve a maximum within the support of the distribution, the mode is undefined. If the mean is undefined, then by definition the variance is undefined. E.g. the mean for Student's T f

class tf.WholeFileReader A Reader that outputs the entire contents of a file as a value. To use, enqueue filenames in a Queue. The output of Read will be a filename (key) and the contents of that file (value). See ReaderBase for supported methods.

string tensorflow::Tensor::DebugString() const A human-readable summary of the tensor suitable for debugging.

class tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor QuantizedDistributionTensor is a StochasticTensor backed by the distribution QuantizedDistribution.

tf.contrib.distributions.Bernoulli.is_continuous

void tensorflow::TensorShape::AddDim(int64 size) Add a dimension to the end ("inner-most"). REQUIRES: size >= 0

tf.contrib.graph_editor.get_name_scope_ops(ops, scope) Get all the operations under the given scope path. Args: ops: an object convertible to a list of tf.Operation. scope: a scope path. Returns: A list of tf.Operation. Raises: TypeError: if ops cannot be converted to a list of tf.Operation.

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

tf.WholeFileReader.supports_serialize Whether the Reader implementation can serialize its state.

tf.contrib.bayesflow.stochastic_tensor.CategoricalTensor.dtype