Add sparse initializer

[Bihaqo]

Something like

def sparse(idx, n):
  cores = []
  eye = tf.eye(n)
  for k in range(len(idx)):
    cores.append(tf.reshape(eye[idx[k]], (1, n, 1)))
  return t3f.TensorTrain(cores)