code: def uniform(low, high, size, dtype=np.float32, seed=0):
      """Memory efficient uniform implementation."""
      rng = np.random.default_rng(seed)
      out = (high - low) * rng.random(size, dtype=dtype) + low
      return out
  
imports: import os
  import csv
  import math
  import json
  import time
  import random
  import logging
  import functools
  import traceback
  from collections import defaultdict
  from _thread import start_new_thread
  from multiprocessing import Queue, Process
  import numpy
  from tqdm import tqdm
  import paddle
  import paddle.distributed
label_desc: Use image node_id 4 for calling a global function with example usage: uniform(low, high, size, dtype, seed) and returns: out