tf.matrix_diag(diagonal, name=None) Returns a batched diagonal tensor with a given batched diagonal values.

tf.edit_distance(hypothesis, truth, normalize=True, name='edit_distance') Computes the Levenshtein distance between sequences

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

tf.scalar_mul(scalar, x) Multiplies a scalar times a Tensor or IndexedSlices object.

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

tf.fft3d(input, name=None) Compute the 3-dimensional discrete Fourier Transform over the inner-most 3 dimensions

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

tf.complex(real, imag, name=None) Converts two real numbers to a complex number. Given a tensor

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

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