tf.contrib.learn.NanLossDuringTrainingError.__str__()

tensorflow::TensorShapeDim::TensorShapeDim(int64 s)

tf.contrib.distributions.BernoulliWithSigmoidP.name Name prepended to all ops created by this Distribution.

tf.contrib.distributions.Mixture.variance(name='variance') Variance.

tf.contrib.bayesflow.stochastic_tensor.ObservedStochasticTensor.distribution

tf.add_n(inputs, name=None) Adds all input tensors element-wise. Args:

tf.contrib.learn.run_feeds(*args, **kwargs) See run_feeds_iter(). Returns a list instead of an iterator.

tf.cholesky(input, name=None) Computes the Cholesky decomposition of one or more square matrices. The

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

tf.contrib.distributions.Beta.log_survival_function(value, name='log_survival_function') Log survival function.