Question

当我尝试保存模型时遇到这些问题。此外，我使用的是Tensorflow 2.0.0和numpy 1.6.0，所以我不知道如何解决该问题，因为在最新版本的tensorflow中，默认情况下会启用急切执行。

Compilamos
Entrenamos
Train on 946 samples, validate on 237 samples
Epoch 1/2
946/946 [==============================] - 5s 5ms/step - loss: 0.6866 - accuracy: 0.5719 - val_loss: 0.6897 - val_accuracy: 0.5316
Epoch 2/2
946/946 [==============================] - 5s 5ms/step - loss: 0.6782 - accuracy: 0.5729 - val_loss: 0.6862 - val_accuracy: 0.5316
Entrenamiento finalizado
Traceback (most recent call last):

  File "<ipython-input-23-35267c139307>", line 1, in <module>
    runfile('C:/Users/Narcis Teodoroiu/Desktop/Version MASK R-CNN/TILErecognitionYcant.py', wdir='C:/Users/Narcis Teodoroiu/Desktop/Version MASK R-CNN')

  File "C:\ProgramData\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 827, in runfile
    execfile(filename, namespace)

  File "C:\ProgramData\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 110, in execfile
    exec(compile(f.read(), filename, 'exec'), namespace)

  File "C:/Users/Narcis Teodoroiu/Desktop/Version MASK R-CNN/TILErecognitionYcant.py", line 332, in <module>
    model.save('tile_cnn_model.h5')

  File "C:\ProgramData\Anaconda3\lib\site-packages\keras\engine\network.py", line 1152, in save
    save_model(self, filepath, overwrite, include_optimizer)

  File "C:\ProgramData\Anaconda3\lib\site-packages\keras\engine\saving.py", line 449, in save_wrapper
    save_function(obj, filepath, overwrite, *args, **kwargs)

  File "C:\ProgramData\Anaconda3\lib\site-packages\keras\engine\saving.py", line 541, in save_model
    _serialize_model(model, h5dict, include_optimizer)

  File "C:\ProgramData\Anaconda3\lib\site-packages\keras\engine\saving.py", line 179, in _serialize_model
    'config': model.optimizer.get_config()

  File "C:\ProgramData\Anaconda3\lib\site-packages\keras\optimizers.py", line 557, in get_config
    config = {'learning_rate': float(K.get_value(self.learning_rate)),

  File "C:\ProgramData\Anaconda3\lib\site-packages\keras\backend\tensorflow_backend.py", line 2927, in get_value
    return x.numpy()

  File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow_core\python\ops\resource_variable_ops.py", line 579, in numpy
    "numpy() is only available when eager execution is enabled.")

NotImplementedError: numpy() is only available when eager execution is enabled.

Answer 1

当我尝试将我的项目从“ tensorflow-gpu 1.12.0”迁移到“ tensorflow-gpu 2.0.0”时，我遇到了相同的问题，当我启用tensorflow v2函数（我在以下位置禁用了v2函数）时，此错误已解决首先）。

如果您之前禁用了“ tf_v2”功能，也许您可以尝试将其注释掉。

＃tf.disable_v2_behavior（）

https://www.tensorflow.org/guide/migrate

Answer 2

升级到TensorFlow V2.0时，我遇到相同的问题。并通过注释解决了 + preset: '@testing-library/react-native' - preset: 'react-native'。并使用 #from keras import backend as K

NotImplementedError：numpy（）仅在启用急切执行时可用

2 个答案: