model_base.py 文件源码

def _clip_gradients(self, grads_and_vars):
    """Clips gradients by global norm."""
    gradients, variables = zip(*grads_and_vars)
    clipped_gradients, _ = tf.clip_by_global_norm(
        gradients, self.params["optimizer.clip_gradients"])
    return list(zip(clipped_gradients, variables))