【发布时间】：2021-08-14 01:26:29
【问题描述】：
我已经在 google colab 中运行了几周的机器学习模型（Matterport 的 Mask R-CNN）。今天突然之间，由于我认为某种依赖不匹配错误，我无法运行我的任何笔记本。完整的错误如下：
---------------------------------------------------------------------------
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
如何让我的环境重新工作？
【问题讨论】：
-
有必要不是最新的吗？我的意思是你正在使用张量流 - 1.15.2 和 Keras - 2.1.5 ，而现在它们是 2.5.0。
标签： python tensorflow machine-learning keras google-colaboratory