code: def normalize(feat):
      return feat / np.maximum(np.sum(feat, -1, keepdims=True), 1)
  
file_path: PGL/examples/gnn_depoly/node_classification_with_sampling/python_deploy.py
imports: import argparse
  import os
  import sys
  import time
  import numpy
  from functools import partial
  import paddle
  import paddle.nn
  import pgl
  from paddle.io import Dataset, DataLoader
  from dataset import ShardedDataset
  from dataset import generate_batch_infer_data
  from train import load_reddit_data
  from train import get_basic_graph_sample_neighbors_info
  from train import get_sample_graph_list
label_desc: Use image node_id 1 for calling a global function with example usage: normalize(feat) and returns: unknown