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

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

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

tf.sparse_segment_sqrt_n(data, indices, segment_ids, name=None) Computes the sum along sparse segments of a tensor divided by

tf.accumulate_n(inputs, shape=None, tensor_dtype=None, name=None) Returns the element-wise sum of a list of tensors.

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

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

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

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

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