tf.contrib.bayesflow.stochastic_tensor.WishartFullTensor.dtype

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

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

tf.contrib.bayesflow.stochastic_tensor.SampleValue.popped_above(unused_value_type)

tf.contrib.bayesflow.stochastic_tensor.InverseGammaTensor.distribution

tf.nn.rnn_cell.LSTMStateTuple.h Alias for field number 1

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.sigma Dense (batch) covariance matrix, if available.

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.StudentTTensor.value_type

tf.TFRecordReader.reset(name=None) Restore a reader to its initial clean state. Args: