tf.contrib.distributions.Categorical.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape) shapes

int64 tensorflow::PartialTensorShape::dim_size(int d) const Returns the number of elements in dimension d. REQUIRES:

void tensorflow::TensorShape::operator=(const TensorShape &b)

tf.Session.close() Closes this session. Calling this method frees all resources associated with

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

tf.contrib.bayesflow.stochastic_tensor.Chi2Tensor.distribution

tf.contrib.bayesflow.stochastic_tensor.LaplaceTensor.value_type

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

virtual Status tensorflow::Session::PRunSetup(const std::vector< string > &input_names, const std::vector< string > &output_names, const std::vector<

tf.contrib.learn.monitors.NanLoss.post_step(step, session)