tf.contrib.bayesflow.stochastic_tensor.TransformedDistributionTensor.name

tf.contrib.graph_editor.transform_op_if_inside_handler(info, op, keep_if_possible=True) Transform an optional op only if it is

class tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor QuantizedDistributionTensor is a

tf.contrib.crf.crf_log_norm(inputs, sequence_lengths, transition_params) Computes the normalization for a CRF.

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

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.sample_n(n, seed=None, name='sample_n') Generate n samples

virtual Status tensorflow::WritableFile::Sync()=0

tf.TensorArray.handle The reference to the TensorArray.

tf.contrib.bayesflow.stochastic_tensor.StochasticTensor.__init__(dist_cls, name=None, dist_value_type=None, loss_fn=score_function, **dist_args)

tf.contrib.learn.monitors.ValidationMonitor.every_n_step_begin(step) Callback before every n'th step begins.