tf.ceil(x, name=None) Returns element-wise smallest integer in not less than x. Args:

tf.unsorted_segment_sum(data, segment_ids, num_segments, name=None) Computes the sum along segments of a tensor.

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

tf.matrix_transpose(a, name='matrix_transpose') Transposes last two dimensions of tensor a. For

tf.neg(x, name=None) Computes numerical negative value element-wise. I.e., (y = -x).

tf.svd(tensor, compute_uv=True, full_matrices=False, name=None) Computes the singular value decompositions of one or more matrices

tf.matrix_set_diag(input, diagonal, name=None) Returns a batched matrix tensor with new batched diagonal values.

tf.matrix_triangular_solve(matrix, rhs, lower=None, adjoint=None, name=None) Solves systems of linear equations with upper or

tf.sign(x, name=None) Returns an element-wise indication of the sign of a number. y = sign(x)

tf.listdiff(x, y, out_idx=None, name=None) Computes the difference between two lists of numbers or strings.