基于Keras 循环训练模型跑数据时内存泄漏的解决方式

import tensorflow as tf
from keras import backend as K
 
K.clear_session()
tf.reset_default_graph()

mods = []
  from keras.utils.generic_utils import CustomObjectScope
  with CustomObjectScope({}):
    for model_file in tqdm.tqdm(model_files):
      mod = keras.models.load_model(model_file)
      mods.append(mod)
  return mods

  import keras.backend.tensorflow_backend as KTF
  KTF.clear_session()
  session = tf.Session(config=config)
  KTF.set_session(session)

  with CustomObjectScope({}):
    model = keras.models.load_model(model_file)
  return model