tf.conj(x, name=None) Returns the complex conjugate of a complex number. Given a tensor input

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

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

tf.polygamma(a, x, name=None) Compute the polygamma function \(\psi^{(n)}(x)\). The polygamma

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

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.cumsum(x, axis=0, exclusive=False, reverse=False, name=None) Compute the cumulative sum of the tensor x along

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

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