def Softmax(x, params, axis=-1, **kwargs):
  """Apply softmax to x: exponentiate and normalize along the given axis."""
  del params, kwargs
  return np.exp(x - backend.logsumexp(x, axis, keepdims=True))
Apply softmax to x: exponentiate and normalize along the given axis.