tf.contrib.distributions.StudentT.is_reparameterized

tf.matrix_determinant(input, name=None) Computes the determinant of one ore more square matrices. The input is a tensor of shape [..., M, M] whose inner-most 2 dimensions form square matrices. The output is a tensor containing the determinants for all input submatrices [..., :, :]. Args: input: A Tensor. Must be one of the following types: float32, float64. Shape is [..., M, M]. name: A name for the operation (optional). Returns: A Tensor. Has the same type as input. Shape is [...].

tf.contrib.distributions.Bernoulli.logits

tf.contrib.distributions.Bernoulli.q 1-p.

tf.Session.__enter__()

TTypes< T, NDIMS >::ConstTensor tensorflow::Tensor::shaped(gtl::ArraySlice< int64 > new_sizes) const

tf.contrib.distributions.Uniform.b

tf.contrib.learn.monitors.ExportMonitor.run_on_all_workers

tf.contrib.bayesflow.stochastic_tensor.TransformedDistributionTensor.graph

tf.contrib.graph_editor.reroute_a2b(sgv0, sgv1) Re-route the inputs and outputs of sgv0 to sgv1 (see _reroute).