tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.is_reparameterized

tf.InteractiveSession.close() Closes an InteractiveSession.

TTypes<T>::ConstFlat tensorflow::Tensor::flat() const

TTypes<T>::UnalignedConstFlat tensorflow::Tensor::unaligned_flat() const

Represents an n-dimensional array of values. Member Details tensorflow::Tensor::Tensor() Creates a 1-dimensional, 0-element float tensor. The returned Tensor is not a scalar (shape {}), but is instead an empty one-dimensional Tensor (shape {0}, NumElements() == 0). Since it has no elements, it does not need to be assigned a value and is initialized by default ( IsInitialized() is true). If this is undesirable, consider creating a one-element scalar which does require initialization: tensorflow:

bool tensorflow::TensorShape::IsValid(const TensorShapeProto &proto) Returns true iff proto is a valid tensor shape.

class tf.IdentityReader A Reader that outputs the queued work as both the key and value. To use, enqueue strings in a Queue. Read will take the front work string and output (work, work). See ReaderBase for supported methods.

tf.contrib.graph_editor.SubGraphView.outputs The output tensors of this subgraph view.

tf.contrib.bayesflow.stochastic_tensor.PoissonTensor.value_type

tf.contrib.distributions.Bernoulli.is_reparameterized