tf.cholesky_solve(chol, rhs, name=None) Solves systems of linear eqns A X = RHS, given Cholesky factorizations.

tf.acos(x, name=None) Computes acos of x element-wise. Args:

tf.floordiv(x, y, name=None) Divides x / y elementwise, rounding down for floating point. The

tf.diag(diagonal, name=None) Returns a diagonal tensor with a given diagonal values. Given a

tf.reduce_max(input_tensor, reduction_indices=None, keep_dims=False, name=None) Computes the maximum of elements across dimensions

tf.sparse_segment_mean(data, indices, segment_ids, name=None) Computes the mean along sparse segments of a tensor.

tf.inv(x, name=None) Computes the reciprocal of x element-wise. I.e., \(y = 1 / x\).

tf.matrix_determinant(input, name=None) Computes the determinant of one ore more square matrices. The

tf.sub(x, y, name=None) Returns x - y element-wise. NOTE: Sub supports broadcasting

tf.mod(x, y, name=None) Returns element-wise remainder of division. NOTE: Mod