tf.contrib.distributions.DirichletMultinomial.dtype The DType of Tensors handled by this Distribution

tf.contrib.learn.TensorFlowRNNClassifier.export(*args, **kwargs) Exports inference graph into given dir. (deprecated arguments)

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

tf.contrib.distributions.Gamma.event_shape(name='event_shape') Shape of a single sample from a single batch as a 1-D int32 Tensor

tf.contrib.bayesflow.stochastic_tensor.PoissonTensor.loss(final_loss, name='Loss')

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

tf.contrib.learn.monitors.CaptureVariable.run_on_all_workers

tf.nn.rnn_cell.DropoutWrapper.state_size

tf.contrib.distributions.MultivariateNormalFull.std(name='std') Standard deviation.

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