tf.contrib.framework.model_variable(*args, **kwargs) Gets an existing model variable with these parameters or creates a new one

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.sample(sample_shape=(), seed=None, name='sample') Generate samples

tf.contrib.losses.get_regularization_losses(scope=None) Gets the regularization losses. Args:

tf.OpError.__str__()

tf.contrib.distributions.MultivariateNormalDiag.mode(name='mode') Mode.

TTypes< T, NDIMS >::Tensor tensorflow::Tensor::tensor()

tf.contrib.framework.get_or_create_global_step(graph=None) Returns and create (if necessary) the global step variable.

tf.contrib.graph_editor.get_backward_walk_ops(seed_ops, inclusive=True, within_ops=None, stop_at_ts=(), control_inputs=False) Do

tf.contrib.distributions.WishartCholesky.cholesky_input_output_matrices Boolean indicating if Tensor input/outputs

tf.contrib.graph_editor.make_list_of_op(ops, check_graph=True, allow_graph=True, ignore_ts=False) Convert ops to a list of tf