code: def set_seed(seed):
      paddle.seed(seed)
      np.random.seed(seed)
  
imports: import paddle
  import numpy
  import os
  import paddle.nn
  import paddle.distributed
  from loss import build_loss, LossDistill, DMLLoss, KLJSLoss
  from optimizer import create_optimizer
  from data_loader import build_dataloader
  from metric import create_metric
  from mv3 import MobileNetV3_large_x0_5, distillmv3_large_x0_5, build_model
  from config import preprocess
  import time
  from paddleslim.dygraph.quant import QAT
  from slim.slim_quant import PACT, quant_config
  from slim.slim_fpgm import prune_model
  from utils import load_model
label_desc: Use image node_id 4 for calling a global function with example usage: set_seed(seed) without return types