突然的Tensorflow / Keras Google Colab依赖问题` `AttributeError:模块'tensorflow._api.v1.compat.v2‘没有属性'__internal__'`
突然的Tensorflow / Keras Google Colab依赖问题` `AttributeError:模块'tensorflow._api.v1.compat.v2‘没有属性'__internal__'`
提问于 2021-05-26 03:04:52
我在google colab上运行了几个星期的机器学习模型(Matterport's Mask R-CNN)。今天，我突然不能运行我的任何笔记本，因为我想是某种依赖不匹配错误。完整错误如下：
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-3-d76d39ae81e5> in <module>()
11
12 import tensorflow as tf
---> 13 import keras
14 import platform
15
8 frames
/usr/local/lib/python3.7/dist-packages/keras/__init__.py in <module>()
1 from __future__ import absolute_import
2
----> 3 from . import utils
4 from . import activations
5 from . import applications
/usr/local/lib/python3.7/dist-packages/keras/utils/__init__.py in <module>()
23 from .np_utils import to_categorical
24 from .np_utils import normalize
---> 25 from .multi_gpu_utils import multi_gpu_model
/usr/local/lib/python3.7/dist-packages/keras/utils/multi_gpu_utils.py in <module>()
5 from __future__ import print_function
6
----> 7 from ..layers.merge import concatenate
8 from .. import backend as K
9 from ..layers.core import Lambda
/usr/local/lib/python3.7/dist-packages/keras/layers/__init__.py in <module>()
2
3 from ..utils.generic_utils import deserialize_keras_object
----> 4 from ..engine import Layer
5 from ..engine import Input
6 from ..engine import InputLayer
/usr/local/lib/python3.7/dist-packages/keras/engine/__init__.py in <module>()
1 # note: topology.Node is an internal class,
2 # it isn't meant to be used by Keras users.
----> 3 from .topology import InputSpec
4 from .topology import Input
5 from .topology import InputLayer
/usr/local/lib/python3.7/dist-packages/keras/engine/topology.py in <module>()
16
17 from .. import backend as K
---> 18 from .. import initializers
19 from ..utils.io_utils import ask_to_proceed_with_overwrite
20 from ..utils.layer_utils import print_summary as print_layer_summary
/usr/local/lib/python3.7/dist-packages/keras/initializers/__init__.py in <module>()
122 # from ALL_OBJECTS. We make no guarantees as to whether these objects will
123 # using their correct version.
--> 124 populate_deserializable_objects()
125 globals().update(LOCAL.ALL_OBJECTS)
126
/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).
/tensorflow-1.15.2/python3.7/tensorflow_core/python/util/module_wrapper.py in __getattr__(self, name)
191 def __getattr__(self, name):
192 try:
--> 193 attr = getattr(self._tfmw_wrapped_module, name)
194 except AttributeError:
195 if not self._tfmw_public_apis:
AttributeError: module 'tensorflow._api.v1.compat.v2' has no attribute '__internal__'我安装的依赖项版本的pip列表是：
Package Version
----------------------------- -------------------
absl-py 0.12.0
alabaster 0.7.12
albumentations 0.1.12
altair 4.1.0
appdirs 1.4.4
argon2-cffi 20.1.0
arviz 0.11.2
astor 0.8.1
astropy 4.2.1
astunparse 1.6.3
async-generator 1.10
atari-py 0.2.9
atomicwrites 1.4.0
attrs 21.2.0
audioread 2.1.9
autograd 1.3
Babel 2.9.1
backcall 0.2.0
backports.tempfile 1.0
backports.weakref 1.0.post1
beautifulsoup4 4.6.3
bleach 3.3.0
blis 0.4.1
bokeh 2.3.2
Bottleneck 1.3.2
branca 0.4.2
bs4 0.0.1
bz2file 0.98
CacheControl 0.12.6
cached-property 1.5.2
cachetools 4.2.2
catalogue 1.0.0
certifi 2020.12.5
cffi 1.14.5
cftime 1.5.0
chainer 7.4.0
chardet 3.0.4
click 7.1.2
cloudpickle 1.3.0
cmake 3.12.0
cmdstanpy 0.9.5
colorcet 2.0.6
colorlover 0.3.0
community 1.0.0b1
contextlib2 0.5.5
convertdate 2.3.2
coverage 3.7.1
coveralls 0.5
crcmod 1.7
cufflinks 0.17.3
cupy-cuda101 7.4.0
cvxopt 1.2.6
cvxpy 1.0.31
cycler 0.10.0
cymem 2.0.5
Cython 0.29.23
daft 0.0.4
dask 2.12.0
datascience 0.10.6
debugpy 1.0.0
decorator 4.4.2
defusedxml 0.7.1
descartes 1.1.0
dill 0.3.3
distributed 1.25.3
dlib 19.18.0
dm-sonnet 1.35
dm-tree 0.1.6
docopt 0.6.2
docutils 0.17.1
dopamine-rl 1.0.5
earthengine-api 0.1.266
easydict 1.9
ecos 2.0.7.post1
editdistance 0.5.3
en-core-web-sm 2.2.5
entrypoints 0.3
ephem 3.7.7.1
et-xmlfile 1.1.0
fa2 0.3.5
fastai 1.0.61
fastdtw 0.3.4
fastprogress 1.0.0
fastrlock 0.6
fbprophet 0.7.1
feather-format 0.4.1
filelock 3.0.12
firebase-admin 4.4.0
fix-yahoo-finance 0.0.22
Flask 1.1.4
flatbuffers 1.12
folium 0.8.3
future 0.16.0
gast 0.2.2
GDAL 2.2.2
gdown 3.6.4
gensim 3.6.0
geographiclib 1.50
geopy 1.17.0
gevent 1.4.0
gin-config 0.4.0
glob2 0.7
google 2.0.3
google-api-core 1.26.3
google-api-python-client 1.12.8
google-auth 1.30.0
google-auth-httplib2 0.0.4
google-auth-oauthlib 0.4.4
google-cloud-bigquery 1.21.0
google-cloud-bigquery-storage 1.1.0
google-cloud-core 1.0.3
google-cloud-datastore 1.8.0
google-cloud-firestore 1.7.0
google-cloud-language 1.2.0
google-cloud-storage 1.18.1
google-cloud-translate 1.5.0
google-colab 1.0.0
google-pasta 0.2.0
google-resumable-media 0.4.1
googleapis-common-protos 1.53.0
googledrivedownloader 0.4
graph-nets 1.0.5
graphviz 0.10.1
greenlet 0.4.15
grpcio 1.34.1
gspread 3.0.1
gspread-dataframe 3.0.8
gunicorn 20.0.4
gym 0.17.3
h5py 3.1.0
HeapDict 1.0.1
hijri-converter 2.1.1
holidays 0.10.5.2
holoviews 1.14.3
html5lib 1.0.1
httpimport 0.5.18
httplib2 0.17.4
httplib2shim 0.0.3
humanize 0.5.1
hyperopt 0.1.2
ideep4py 2.0.0.post3
idna 2.10
imageio 2.4.1
imagesize 1.2.0
imbalanced-learn 0.4.3
imblearn 0.0
imgaug 0.2.9
importlib-metadata 4.0.1
importlib-resources 5.1.3
imutils 0.5.4
inflect 2.1.0
iniconfig 1.1.1
install 1.3.4
intel-openmp 2021.2.0
intervaltree 2.1.0
ipykernel 4.10.1
ipyparallel 6.3.0
ipython 5.5.0
ipython-genutils 0.2.0
ipython-sql 0.3.9
ipywidgets 7.6.3
itsdangerous 1.1.0
jax 0.2.13
jaxlib 0.1.66+cuda110
jdcal 1.4.1
jedi 0.18.0
jieba 0.42.1
Jinja2 2.11.3
joblib 1.0.1
jpeg4py 0.1.4
jsonschema 2.6.0
jupyter 1.0.0
jupyter-client 5.3.5
jupyter-console 5.2.0
jupyter-core 4.7.1
jupyterlab-pygments 0.1.2
jupyterlab-widgets 1.0.0
kaggle 1.5.12
kapre 0.3.5
Keras 2.1.5
Keras-Applications 1.0.8
keras-nightly 2.5.0.dev2021032900
Keras-Preprocessing 1.1.2
keras-vis 0.4.1
kfac 0.2.0
kiwisolver 1.3.1
korean-lunar-calendar 0.2.1
librosa 0.8.0
lightgbm 2.2.3
llvmlite 0.34.0
lmdb 0.99
lucid 0.3.10
LunarCalendar 0.0.9
lxml 4.2.6
magenta 0.3.19
Markdown 3.3.4
MarkupSafe 2.0.1
mask-rcnn 2.1
matplotlib 3.2.2
matplotlib-inline 0.1.2
matplotlib-venn 0.11.6
mesh-tensorflow 0.1.12
mido 1.2.6
mir-eval 0.5
missingno 0.4.2
mistune 0.8.4
mizani 0.6.0
mkl 2019.0
mlxtend 0.14.0
more-itertools 8.7.0
moviepy 0.2.3.5
mpi4py 3.0.3
mpmath 1.2.1
msgpack 1.0.2
multiprocess 0.70.11.1
multitasking 0.0.9
murmurhash 1.0.5
music21 5.5.0
natsort 5.5.0
nbclient 0.5.3
nbconvert 5.6.1
nbformat 5.1.3
nest-asyncio 1.5.1
netCDF4 1.5.6
networkx 2.5.1
nibabel 3.0.2
nltk 3.2.5
nose 1.3.7
notebook 5.3.1
numba 0.51.2
numexpr 2.7.3
numpy 1.19.5
nvidia-ml-py3 7.352.0
oauth2client 4.1.3
oauthlib 3.1.0
okgrade 0.4.3
opencv-contrib-python 4.1.2.30
opencv-python 4.1.2.30
openpyxl 2.5.9
opt-einsum 3.3.0
osqp 0.6.2.post0
packaging 20.9
palettable 3.3.0
pandas 1.1.5
pandas-datareader 0.9.0
pandas-gbq 0.13.3
pandas-profiling 1.4.1
pandocfilters 1.4.3
panel 0.11.3
param 1.10.1
parso 0.8.2
pathlib 1.0.1
patsy 0.5.1
pexpect 4.8.0
pickleshare 0.7.5
Pillow 7.1.2
pip 19.3.1
pip-tools 4.5.1
plac 1.1.3
plotly 4.4.1
plotnine 0.6.0
pluggy 0.7.1
pooch 1.3.0
portpicker 1.3.9
prefetch-generator 1.0.1
preshed 3.0.5
pretty-midi 0.2.8
prettytable 2.1.0
progressbar2 3.38.0
prometheus-client 0.10.1
promise 2.3
prompt-toolkit 1.0.18
protobuf 3.12.4
psutil 5.4.8
psycopg2 2.7.6.1
ptyprocess 0.7.0
py 1.10.0
pyarrow 3.0.0
pyasn1 0.4.8
pyasn1-modules 0.2.8
pycocotools 2.0.2
pycparser 2.20
pyct 0.4.8
pydata-google-auth 1.2.0
pydot 1.3.0
pydot-ng 2.0.0
pydotplus 2.0.2
PyDrive 1.3.1
pyemd 0.5.1
pyerfa 2.0.0
pyglet 1.5.0
Pygments 2.6.1
pygobject 3.26.1
pymc3 3.11.2
PyMeeus 0.5.11
pymongo 3.11.4
pymystem3 0.2.0
PyOpenGL 3.1.5
pyparsing 2.4.7
pypng 0.0.20
pyrsistent 0.17.3
pysndfile 1.3.8
PySocks 1.7.1
pystan 2.19.1.1
pytest 3.6.4
python-apt 0.0.0
python-chess 0.23.11
python-dateutil 2.8.1
python-louvain 0.15
python-rtmidi 1.4.0
python-slugify 5.0.2
python-utils 2.5.6
pytz 2018.9
pyviz-comms 2.0.1
PyWavelets 1.1.1
PyYAML 3.13
pyzmq 22.0.3
qdldl 0.1.5.post0
qtconsole 5.1.0
QtPy 1.9.0
regex 2019.12.20
requests 2.23.0
requests-oauthlib 1.3.0
resampy 0.2.2
retrying 1.3.3
rpy2 3.4.4
rsa 4.7.2
scikit-image 0.16.2
scikit-learn 0.22.2.post1
scipy 1.4.1
screen-resolution-extra 0.0.0
scs 2.1.3
seaborn 0.11.1
semantic-version 2.8.4
semver 2.13.0
Send2Trash 1.5.0
setuptools 56.1.0
setuptools-git 1.2
Shapely 1.7.1
simplegeneric 0.8.1
six 1.15.0
sklearn 0.0
sklearn-pandas 1.8.0
smart-open 5.0.0
snowballstemmer 2.1.0
sortedcontainers 2.4.0
SoundFile 0.10.3.post1
spacy 2.2.4
Sphinx 1.8.5
sphinxcontrib-serializinghtml 1.1.4
sphinxcontrib-websupport 1.2.4
SQLAlchemy 1.4.15
sqlparse 0.4.1
srsly 1.0.5
stable-baselines 2.2.1
statsmodels 0.10.2
sympy 1.7.1
tables 3.4.4
tabulate 0.8.9
tblib 1.7.0
tensor2tensor 1.14.1
tensorboard 1.15.0
tensorboard-data-server 0.6.1
tensorboard-plugin-wit 1.8.0
tensorflow 1.15.2
tensorflow-datasets 4.0.1
tensorflow-estimator 1.15.1
tensorflow-gan 2.0.0
tensorflow-gcs-config 2.5.0
tensorflow-hub 0.12.0
tensorflow-metadata 1.0.0
tensorflow-probability 0.7.0
termcolor 1.1.0
terminado 0.10.0
testpath 0.5.0
text-unidecode 1.3
textblob 0.15.3
tflearn 0.3.2
Theano-PyMC 1.1.2
thinc 7.4.0
tifffile 2021.4.8
toml 0.10.2
toolz 0.11.1
torch 1.8.1+cu101
torchsummary 1.5.1
torchtext 0.9.1
torchvision 0.9.1+cu101
tornado 5.1.1
tqdm 4.41.1
traitlets 5.0.5
tweepy 3.10.0
typeguard 2.7.1
typing-extensions 3.7.4.3
tzlocal 1.5.1
uritemplate 3.0.1
urllib3 1.24.3
vega-datasets 0.9.0
wasabi 0.8.2
wcwidth 0.2.5
webencodings 0.5.1
Werkzeug 1.0.1
wheel 0.36.2
widgetsnbextension 3.5.1
wordcloud 1.5.0
wrapt 1.12.1
xarray 0.18.2
xgboost 0.90
xkit 0.0.0
xlrd 1.1.0
xlwt 1.3.0
yellowbrick 0.9.1
zict 2.0.0
zipp 3.4.1
zmq 0.0.0我怎样才能让我的环境再次工作？
回答 3
Stack Overflow用户
发布于 2021-05-27 15:25:11
当我尝试这样做时，我解决了这个问题：
!pip uninstall keras-nightly
!pip uninstall -y tensorflow然后安装tensorflow和kerass，并使用您想要使用的版本
Stack Overflow用户
发布于 2021-05-26 15:37:33
我自己也有这个问题，我也在使用Matterport的Mask-RCNN和google colab。对于我的情况，我修复它的方法是安装以下版本的keras和tensorflow并重新启动运行时：
!pip安装keras==2.3.0 !pip安装tensorflow==1.15.0rc2
我希望这对你也适用。
Stack Overflow用户
发布于 2021-05-29 00:25:11
!pip uninstall keras-nightly
!pip install h5py==2.10.0我将此代码添加到我的代码顶部，现在问题就解决了。我怀疑这个问题是由keras-nightly的最新更新引起的。
页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接：
https://stackoverflow.com/questions/67694114
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