tf.SparseTensor.__truediv__(sp_x, y) Internal helper function for 'sp_t / dense_t'.

tf.matrix_inverse(input, adjoint=None, name=None) Computes the inverse of one or more square invertible matrices or their

tf.contrib.distributions.LaplaceWithSoftplusScale.sample_n(n, seed=None, name='sample_n') Generate n samples.

tf.contrib.training.SequenceQueueingStateSaver.barrier

tf.contrib.distributions.Dirichlet.std(name='std') Standard deviation.

tf.argmin(input, dimension, name=None) Returns the index with the smallest value across dimensions of a tensor.

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.log_cdf(value, name='log_cdf') Log cumulative distribution function.

tf.contrib.distributions.MultivariateNormalFull.mode(name='mode') Mode.

tf.contrib.distributions.Binomial.validate_args Python boolean indicated possibly expensive checks are enabled.

tf.assert_greater_equal(x, y, data=None, summarize=None, message=None, name=None) Assert the condition x >= y