human
I wrote the below code

    def _clip_gradient_backward(unused_op, grad):
        return tf.clip_by_value(grad, clip_value_min, clip_value_max)
    @function.Defun(net.dtype, python_grad_func=_clip_gradient_backward, func_name='ClipGradient')
    def _clip_gradient_forward(x):
        return x
    with tf.name_scope(name, 'clip_gradient', values=[net]):
        output = _clip_gradient_forward(net)
        output.set_shape(net.get_shape())
    return output

What's a good function header?

=====
Here's a good function header?
assistant
#Here's a good function header.

def clip_gradient(net, clip_value_min, clip_value_max, name=None):