tf.contrib.bayesflow.stochastic_tensor.DirichletTensor.graph

tf.contrib.distributions.WishartFull.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of parameters given

tf.nn.rnn_cell.MultiRNNCell.state_size

tf.segment_mean(data, segment_ids, name=None) Computes the mean along segments of a tensor. Read

tf.TextLineReader.num_records_produced(name=None) Returns the number of records this reader has produced. This

tf.accumulate_n(inputs, shape=None, tensor_dtype=None, name=None) Returns the element-wise sum of a list of tensors.

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

tf.image.rot90(image, k=1, name=None) Rotate an image counter-clockwise by 90 degrees. Args:

tf.contrib.distributions.BernoulliWithSigmoidP.mean(name='mean') Mean.

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