tf.contrib.util.make_ndarray(tensor) Create a numpy ndarray from a tensor. Create a numpy ndarray

tf.contrib.bayesflow.stochastic_tensor.StochasticTensor.clone(name=None, **dist_args)

virtual Thread* tensorflow::Env::StartThread(const ThreadOptions &thread_options, const string &name, std::function< void()> fn) TF_MUST_USE_RESULT=0

tf.nn.rnn_cell.RNNCell.zero_state(batch_size, dtype) Return zero-filled state tensor(s). Args:

tf.contrib.layers.summarize_tensor(tensor, tag=None) Summarize a tensor using a suitable summary type. This

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

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.pdf(value, name='pdf') Probability density function.

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

tf.contrib.learn.LinearClassifier.get_variable_value(name)

tf.contrib.distributions.DirichletMultinomial.log_pdf(value, name='log_pdf') Log probability density function.