GAN 모델 NoneType 에러가 발생합니다.

[달새벽]

-- 마지막 모델 실행 부분 --
X = num_images
for j in range(300):
  print(f'epoch = {j}')
  ohgood()
  for i in range(100000//128):
    if i % 100 == 0:
      print(f'batch{i}')
    #discriminator train

    real_X = X[i*128:(i+1)*128]
    real_Y = np.ones(shape=(128,1))
    loss1 = discriminator.train_on_batch(real_X, real_Y)

    fake_X = generator.predict(np.random.uniform(-1,1,size=(128,100)))
    fake_Y = np.zeros(shape=(128,1))
    loss2 = discriminator.train_on_batch(fake_X, fake_Y)

    #generator train

    create_X = generator.predict(np.random.uniform(-1,1,size=(128,100)))
    create_Y = np.ones(shape=(128,1))
    loss3 = GAN.train_on_batch(create_X, create_Y)
  print(f'epoch loss is {loss1+loss2} / {loss3}')
-- 마지막 모델 실행부분 끝 --
-- 에러코드 --

epoch = 0
1/1 [==============================] - 0s 19ms/step

 
batch0

---------------------------------------------------------------------------

TypeError                                 Traceback (most recent call last)

<ipython-input-19-fe8cf86441b2> in <module>
     10     real_X = X[i*128:(i+1)*128]
     11     real_Y = np.ones(shape=(128,1))
---> 12     loss1 = discriminator.train_on_batch(real_X, real_Y)
     13 
     14     fake_X = generator.predict(np.random.uniform(-1,1,size=(128,100)))

 
2 frames 
/usr/local/lib/python3.8/dist-packages/keras/engine/training.py in train_on_batch(self, x, y, sample_weight, class_weight, reset_metrics, return_dict)
   2476             )
   2477             self.train_function = self.make_train_function()
-> 2478             logs = self.train_function(iterator)
   2479 
   2480         logs = tf_utils.sync_to_numpy_or_python_type(logs)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/traceback_utils.py in error_handler(*args, **kwargs)
    151     except Exception as e:
    152       filtered_tb = _process_traceback_frames(e.__traceback__)
--> 153       raise e.with_traceback(filtered_tb) from None
    154     finally:
    155       del filtered_tb

/usr/local/lib/python3.8/dist-packages/tensorflow/python/eager/polymorphic_function/polymorphic_function.py in _call(self, *args, **kwds)
    910       # In this case we have created variables on the first call, so we run the
    911       # defunned version which is guaranteed to never create variables.
--> 912       return self._no_variable_creation_fn(*args, **kwds)  # pylint: disable=not-callable
    913     elif self._variable_creation_fn is not None:
    914       # Release the lock early so that multiple threads can perform the call

TypeError: 'NoneType' object is not callable

-- 에러코드 끝 --

무슨에러인지 찾아봤는데 해결방법을 모르겠어서 질문드립니다.

에러코드중
/usr/local/lib/python3.8/dist-packages/keras/engine/training.py in train_on_batch(self, x, y, sample_weight, class_weight, reset_metrics, return_dict)
   2476             )
   2477             self.train_function = self.make_train_function()
-> 2478             logs = self.train_function(iterator)
   2479 
   2480         logs = tf_utils.sync_to_numpy_or_python_type(logs)
이부분이 키포인트인건가요..?

[codingapple]

위에 모델만들고 compile 하는 코드에 오타가 있거나 그럴 수도 있습니다

[글쓴이]

글