code: def normalize(feat):
      return feat / np.maximum(np.sum(feat, -1, keepdims=True), 1)
  
file_path: PGL/examples/gat/train.py
imports: import tqdm
  import pgl
  import paddle
  import paddle.nn
  from pgl.utils.logger import log
  import numpy
  import time
  import argparse
  from paddle.optimizer import Adam
label_desc: Use image node_id 1 for calling a global function with example usage: normalize(feat) and returns: unknown