code: def uniform(low, high, size, dtype=np.float32):
      """Memory efficient uniform implementation."""
      rng = np.random.default_rng(0)
      out = (high - low) * rng.random(size, dtype=dtype) + low
      return out
  
imports: import os
  import time
  import numpy
  import paddle
  import paddle.distributed
label_desc: Use image node_id 2 for calling a global function with example usage: uniform(low, high, size, dtype) and returns: out