tf.contrib.framework.assert_scalar_int(tensor) Assert tensor is 0-D, of type tf.int32 or tf.int64. Args: tensor: Tensor to test. Returns: tensor, for chaining. Raises: ValueError: if tensor is not 0-D, of type tf.int32 or tf.int64.

tf.contrib.distributions.MultivariateNormalFull.get_batch_shape() Shape of a single sample from a single event index as a TensorShape. Same meaning as batch_shape. May be only partially defined. Returns: batch_shape: TensorShape, possibly unknown.

tf.contrib.graph_editor.SubGraphView.__nonzero__() Allows for implicit boolean conversion.

Status tensorflow::EnvWrapper::GetRegisteredFileSystemSchemes(std::vector< string > *schemes) override Returns the file system schemes registered for this Env .

tf.contrib.distributions.StudentT.get_batch_shape() Shape of a single sample from a single event index as a TensorShape. Same meaning as batch_shape. May be only partially defined. Returns: batch_shape: TensorShape, possibly unknown.

tf.contrib.bayesflow.stochastic_tensor.BaseStochasticTensor.input_dict

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

tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.distribution

tf.contrib.distributions.MultivariateNormalCholesky.is_continuous

tf.nn.rnn_cell.OutputProjectionWrapper.state_size