tf.contrib.distributions.DirichletMultinomial.is_reparameterized

tf.contrib.distributions.DirichletMultinomial.is_reparameterized

tf.contrib.distributions.GammaWithSoftplusAlphaBeta.is_reparameterized

tf.contrib.distributions.GammaWithSoftplusAlphaBeta.is_reparameterized

tf.contrib.graph_editor.SubGraphView.consumers()

tf.contrib.graph_editor.SubGraphView.consumers() Return a Python set of all the consumers of this subgraph view.

tf.contrib.distributions.Uniform.get_event_shape()

tf.contrib.distributions.Uniform.get_event_shape() Shape of a single sample from a single batch as a TensorShape. Same meaning as event_shape. May be only partially defined. Returns: event_shape: TensorShape, possibly unknown.

tf.contrib.bayesflow.stochastic_tensor.MultinomialTensor.mean()

tf.contrib.bayesflow.stochastic_tensor.MultinomialTensor.mean(name='mean')

tf.contrib.bayesflow.stochastic_tensor.UniformTensor.mean()

tf.contrib.bayesflow.stochastic_tensor.UniformTensor.mean(name='mean')

tensorflow::Env::GetFileSystemForFile()

Status tensorflow::Env::GetFileSystemForFile(const string &fname, FileSystem **result) Returns the FileSystem object to handle operations on the file specified by 'fname'. The FileSystem object is used as the implementation for the file system related (non-virtual) functions that follow. Returned FileSystem object is still owned by the Env object and will.

tf.contrib.bayesflow.stochastic_tensor.BaseStochasticTensor.value()

tf.contrib.bayesflow.stochastic_tensor.BaseStochasticTensor.value(name=None)

tf.contrib.distributions.Uniform.range()

tf.contrib.distributions.Uniform.range(name='range') b - a.

tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.name

tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.name