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

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

tf.diag_part(input, name=None) Returns the diagonal part of the tensor. This operation returns

tf.mul(x, y, name=None) Returns x * y element-wise. NOTE: Mul supports broadcasting

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

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

tf.square(x, name=None) Computes square of x element-wise. I.e., (y = x * x = x^2).

tf.self_adjoint_eig(tensor, name=None) Computes the eigen decomposition of a batch of self-adjoint matrices.

tf.self_adjoint_eigvals(tensor, name=None) Computes the eigenvalues of one or more self-adjoint matrices.

tf.matrix_solve(matrix, rhs, adjoint=None, name=None) Solves systems of linear equations. Matrix