我正在 google colab 上运行张量流模型。今天，我收到这个错误：
Using TensorFlow backend.
Traceback (most recent call last):
File "train.py", line 6, in <module>
from yolo import create_yolov3_model, dummy_loss
File "/content/drive/MyDrive/yolo/yolo_plz_work/yolo.py", line 1, in <module>
from keras.layers import Conv2D, Input, BatchNormalization, LeakyReLU, ZeroPadding2D, UpSampling2D, Lambda
File "/usr/local/lib/python3.7/dist-packages/keras/__init__.py", line 3, in <module>
from . import utils
File "/usr/local/lib/python3.7/dist-packages/keras/utils/__init__.py", line 26, in <module>
from .vis_utils import model_to_dot
File "/usr/local/lib/python3.7/dist-packages/keras/utils/vis_utils.py", line 7, in <module>
from ..models import Model
File "/usr/local/lib/python3.7/dist-packages/keras/models.py", line 10, in <module>
from .engine.input_layer import Input
File "/usr/local/lib/python3.7/dist-packages/keras/engine/__init__.py", line 3, in <module>
from .input_layer import Input
File "/usr/local/lib/python3.7/dist-packages/keras/engine/input_layer.py", line 7, in <module>
from .base_layer import Layer
File "/usr/local/lib/python3.7/dist-packages/keras/engine/base_layer.py", line 12, in <module>
from .. import initializers
File "/usr/local/lib/python3.7/dist-packages/keras/initializers/__init__.py", line 124, in <module>
populate_deserializable_objects()
File "/usr/local/lib/python3.7/dist-packages/keras/initializers/__init__.py", line 49, in populate_deserializable_objects
LOCAL.GENERATED_WITH_V2 = tf.__internal__.tf2.enabled()
File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/util/module_wrapper.py", line 193, in __getattr__
attr = getattr(self._tfmw_wrapped_module, name)
AttributeError: module 'tensorflow._api.v1.compat.v2' has no attribute '__internal__'
之前一切都很顺利，所以我不确定为什么会发生这种情况。
我使用的是 Python 3.7.10，这些是我应该使用的包：
absl-py==0.9.0
astor==0.8.1
gast==0.2.2
google-pasta==0.1.8
grpcio==1.26.0
h5py==2.10.0
Keras==2.3.1
Keras-Applications==1.0.8
Keras-Preprocessing==1.1.0
Markdown==3.1.1
numpy==1.18.1
opencv-contrib-python==4.1.2.30
opt-einsum==3.1.0
protobuf==3.11.2
PyYAML==5.3
scipy==1.4.1
six==1.14.0
tensorboard==1.15.0
tensorflow==1.15.0
tensorflow-estimator==1.15.1
termcolor==1.1.0
tqdm==4.41.1
Werkzeug==0.16.0
wrapt==1.11.2
也许 colab 最近升级了一些库？我确信我遵循了与平常相同的安装步骤。
编辑：
我认为keras版本可能有问题。
这是我正在运行的文件的前几行：
from keras.layers import Conv2D, Input, BatchNormalization, LeakyReLU, ZeroPadding2D, UpSampling2D, Lambda
from keras.layers.merge import add, concatenate
from keras.models import Model
from keras.engine.topology import Layer
import tensorflow as tf
如果我删除所有以“from keras”开头的行，我不会收到错误。不过，我以前从未接触过这些行，所以我不知道为什么它们现在会突然出错。另外，这不是Python版本导致这个错误，因为colab在4月份将其更改为3.7.10，我没有问题。
