模块'tensorflow.compat.v2 .__ internal__'没有属性'tf2' [英] module 'tensorflow.compat.v2.__internal__' has no attribute 'tf2'

问题描述

昨天我尝试使用TensorFlow作为后端，但今天，当我尝试导入Keras时，使用它显示一些错误消息，所以这是我的代码:

I'm trying to use TensorFlow as backend yesterday I can use it, but today when I use it to show some error message when I'm trying to import Keras, so here's my code:

# Install required libs  
# NOTE: Run this one code, then restart this runtime and run again for next all... (PENTING!!!) 
 
### please update Albumentations to version>=0.3.0 for `Lambda` transform support
!pip install -U segmentation-models

!pip install q tensorflow==2.1
!pip install q keras==2.3.1
!pip install tensorflow-estimator==2.1.

## Imports libs
import os
os.environ['CUDA_VISIBLE_DEVICES'] = '0'


import cv2
import Keras
import NumPy as np
import matplotlib.pyplot as plt

它显示此错误:

AttributeError                            Traceback (most recent call last)

<ipython-input-3-9c78a7be919d> in <module>()
      5 
      6 import cv2
----> 7 import keras
      8 import numpy as np
      9 import matplotlib.pyplot as plt

8 frames

/usr/local/lib/python3.7/dist-packages/keras/initializers/__init__.py in populate_deserializable_objects()
     47 
     48   LOCAL.ALL_OBJECTS = {}
---> 49   LOCAL.GENERATED_WITH_V2 = tf.__internal__.tf2.enabled()
     50 
     51   # Compatibility aliases (need to exist in both V1 and V2).

AttributeError: module 'tensorflow.compat.v2.__internal__' has no attribute 'tf2'

因此，当我使用TensorFlow 2.2版和Keras 2.3.1版时，昨天我可以运行，但今天似乎无法运行.对于今天的Keras和TensorFlow，我导入的版本是否错误?

while therefore I was using TensorFlow version 2.2 and Keras version 2.3.1, yesterday I can run, but today it seems can't. did I was the wrong version import for my Keras and TensorFlow for today?

当我从tensorFlow import keras使用时，我想要的使用tensorflow后端的输出未显示，然后当我将 import segmentation_models加载为sm 当我像上面一样使用 import Keras 时，它会显示相同的错误.

when I use from tensorFlow import keras the output I want using tensorflow backend doesn't show up, And then when I load import segmentation_models as sm it shows the same error when I use import Keras like on above.

推荐答案

这是您的问题的解决方案，我已经在colab上对其进行了测试.

Here is the solution to your problem, I've tested it on colab.

!pip install -U -q segmentation-models
!pip install -q tensorflow==2.1
!pip install -q keras==2.3.1
!pip install -q tensorflow-estimator==2.1.

## Imports libs
import os
os.environ['CUDA_VISIBLE_DEVICES'] = '0'
os.environ["SM_FRAMEWORK"] = "tf.keras"

from tensorflow import keras
import segmentation_models as sm

|████████████████████████████████| 51kB 3.3MB/s 
|████████████████████████████████| 421.8MB 42kB/s 
|████████████████████████████████| 450kB 35.7MB/s 
|████████████████████████████████| 3.9MB 33.6MB/s 
Building wheel for gast (setup.py) ... done
ERROR: tensorflow-probability 0.12.1 has requirement gast>=0.3.2, 
but you'll have gast 0.2.2 which is incompatible.
|████████████████████████████████| 378kB 2.1MB/s 
Segmentation Models: using `tf.keras` framework.

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