无法导入tensorflow
tensorflow can not be imported
我最近新建了一个anaconda环境来安装最新版的Tensorflow。之后，我使用了以下命令 conda install tensorflow.
我使用此命令重新安装了 tensorflow：pip install --upgrade --no-deps --force-reinstall tensorflow
我在此环境中使用的 python 版本是：
Python3.7.9.
当我想导入 tensorflow 时它抛出这个错误：
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-input-2-d6579f534729> in <module>
----> 1 import tensorflow
~\Anaconda3\lib\site-packages\tensorflow\__init__.py in <module>
39 import sys as _sys
40
---> 41 from tensorflow.python.tools import module_util as _module_util
42 from tensorflow.python.util.lazy_loader import LazyLoader as _LazyLoader
43
~\Anaconda3\lib\site-packages\tensorflow\python\__init__.py in <module>
39 from tensorflow.python import pywrap_tensorflow as _pywrap_tensorflow
40
---> 41 from tensorflow.python.eager import context
42
43 # pylint: enable=wildcard-import
~\Anaconda3\lib\site-packages\tensorflow\python\eager\context.py in <module>
30 import six
31
---> 32 from tensorflow.core.framework import function_pb2
33 from tensorflow.core.protobuf import config_pb2
34 from tensorflow.core.protobuf import rewriter_config_pb2
~\Anaconda3\lib\site-packages\tensorflow\core\framework\function_pb2.py in <module>
5 import sys
6 _b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
----> 7 from google.protobuf import descriptor as _descriptor
8 from google.protobuf import message as _message
9 from google.protobuf import reflection as _reflection
ImportError: cannot import name 'descriptor' from 'google.protobuf' (unknown location)
这里是安装包的列表：
# Name Version Build Channel
_tflow_select 2.3.0 eigen
absl-py 0.12.0 py38haa95532_0
aiohttp 3.7.4 py38h2bbff1b_1
astunparse 1.6.3 py_0
async-timeout 3.0.1 py38haa95532_0
attrs 20.3.0 pyhd3eb1b0_0
blas 1.0 mkl
blinker 1.4 py38haa95532_0
brotlipy 0.7.0 py38h2bbff1b_1003
ca-certificates 2021.4.13 haa95532_1
cachetools 4.2.2 pyhd3eb1b0_0
certifi 2020.12.5 py38haa95532_0
cffi 1.14.5 py38hcd4344a_0
chardet 3.0.4 py38haa95532_1003
click 7.1.2 pyhd3eb1b0_0
coverage 5.5 py38h2bbff1b_2
cryptography 3.4.7 py38h71e12ea_0
cython 0.29.23 py38hd77b12b_0
gast 0.4.0 py_0
google-auth 1.30.0 pyhd3eb1b0_0
google-auth-oauthlib 0.4.4 pyhd3eb1b0_0
google-pasta 0.2.0 py_0
grpcio 1.36.1 py38hc60d5dd_1
h5py 2.10.0 py38h5e291fa_0
hdf5 1.10.4 h7ebc959_0
icc_rt 2019.0.0 h0cc432a_1
idna 2.10 pyhd3eb1b0_0
importlib-metadata 3.10.0 py38haa95532_0
intel-openmp 2021.2.0 haa95532_616
keras-applications 1.0.8 py_1
keras-preprocessing 1.1.2 pyhd3eb1b0_0
libprotobuf 3.14.0 h23ce68f_0
markdown 3.3.4 py38haa95532_0
mkl 2021.2.0 haa95532_296
mkl-service 2.3.0 py38h2bbff1b_1
mkl_fft 1.3.0 py38h277e83a_2
mkl_random 1.2.1 py38hf11a4ad_2
multidict 5.1.0 py38h2bbff1b_2
numpy 1.20.1 py38h34a8a5c_0
numpy-base 1.20.1 py38haf7ebc8_0
oauthlib 3.1.0 py_0
openssl 1.1.1k h2bbff1b_0
opt_einsum 3.1.0 py_0
pip 21.0.1 py38haa95532_0
protobuf 3.14.0 py38hd77b12b_1
pyasn1 0.4.8 py_0
pyasn1-modules 0.2.8 py_0
pycparser 2.20 py_2
pyjwt 1.7.1 py38_0
pyopenssl 20.0.1 pyhd3eb1b0_1
pyreadline 2.1 py38_1
pysocks 1.7.1 py38haa95532_0
python 3.8.8 hdbf39b2_5
requests 2.25.1 pyhd3eb1b0_0
requests-oauthlib 1.3.0 py_0
rsa 4.7.2 pyhd3eb1b0_1
scipy 1.6.2 py38h66253e8_1
setuptools 52.0.0 py38haa95532_0
six 1.15.0 py38haa95532_0
sqlite 3.35.4 h2bbff1b_0
tensorboard 2.4.0 pyhc547734_0
tensorboard-plugin-wit 1.6.0 py_0
tensorflow 2.3.0 mkl_py38h8c0d9a2_0
tensorflow-addons 0.12.1 pypi_0 pypi
tensorflow-base 2.3.0 eigen_py38h75a453f_0
tensorflow-estimator 2.3.0 pyheb71bc4_0
termcolor 1.1.0 py38haa95532_1
typeguard 2.12.0 pypi_0 pypi
typing-extensions 3.7.4.3 hd3eb1b0_0
typing_extensions 3.7.4.3 pyh06a4308_0
urllib3 1.26.4 pyhd3eb1b0_0
vc 14.2 h21ff451_1
vs2015_runtime 14.27.29016 h5e58377_2
werkzeug 1.0.1 pyhd3eb1b0_0
wheel 0.36.2 pyhd3eb1b0_0
win_inet_pton 1.1.0 py38haa95532_0
wincertstore 0.2 py38_0
wrapt 1.12.1 py38he774522_1
yarl 1.6.3 py38h2bbff1b_0
zipp 3.4.1 pyhd3eb1b0_0
zlib 1.2.11 h62dcd97_4
谁能告诉我这有什么问题吗？
尽量不要混用 conda 和 pip 安装。
如果您不想删除环境并重新开始，可以：
- 尝试 运行
conda remove tensorflow 从 conda 中删除 tensorflow（如果你想坚持使用 pip）
- 尝试 运行
pip uninstall tensorflow，然后 运行 conda install protobuf（如果你想坚持使用 conda）
但最明智的做法可能是从一个新的 conda/virtualenv 环境开始，然后 运行 conda install tensorflow protobuf 或 pip install tensorflow protobuf。
我最近新建了一个anaconda环境来安装最新版的Tensorflow。之后，我使用了以下命令 conda install tensorflow.
我使用此命令重新安装了 tensorflow：pip install --upgrade --no-deps --force-reinstall tensorflow
我在此环境中使用的 python 版本是：
Python3.7.9.
当我想导入 tensorflow 时它抛出这个错误：
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-input-2-d6579f534729> in <module>
----> 1 import tensorflow
~\Anaconda3\lib\site-packages\tensorflow\__init__.py in <module>
39 import sys as _sys
40
---> 41 from tensorflow.python.tools import module_util as _module_util
42 from tensorflow.python.util.lazy_loader import LazyLoader as _LazyLoader
43
~\Anaconda3\lib\site-packages\tensorflow\python\__init__.py in <module>
39 from tensorflow.python import pywrap_tensorflow as _pywrap_tensorflow
40
---> 41 from tensorflow.python.eager import context
42
43 # pylint: enable=wildcard-import
~\Anaconda3\lib\site-packages\tensorflow\python\eager\context.py in <module>
30 import six
31
---> 32 from tensorflow.core.framework import function_pb2
33 from tensorflow.core.protobuf import config_pb2
34 from tensorflow.core.protobuf import rewriter_config_pb2
~\Anaconda3\lib\site-packages\tensorflow\core\framework\function_pb2.py in <module>
5 import sys
6 _b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
----> 7 from google.protobuf import descriptor as _descriptor
8 from google.protobuf import message as _message
9 from google.protobuf import reflection as _reflection
ImportError: cannot import name 'descriptor' from 'google.protobuf' (unknown location)
这里是安装包的列表：
# Name Version Build Channel
_tflow_select 2.3.0 eigen
absl-py 0.12.0 py38haa95532_0
aiohttp 3.7.4 py38h2bbff1b_1
astunparse 1.6.3 py_0
async-timeout 3.0.1 py38haa95532_0
attrs 20.3.0 pyhd3eb1b0_0
blas 1.0 mkl
blinker 1.4 py38haa95532_0
brotlipy 0.7.0 py38h2bbff1b_1003
ca-certificates 2021.4.13 haa95532_1
cachetools 4.2.2 pyhd3eb1b0_0
certifi 2020.12.5 py38haa95532_0
cffi 1.14.5 py38hcd4344a_0
chardet 3.0.4 py38haa95532_1003
click 7.1.2 pyhd3eb1b0_0
coverage 5.5 py38h2bbff1b_2
cryptography 3.4.7 py38h71e12ea_0
cython 0.29.23 py38hd77b12b_0
gast 0.4.0 py_0
google-auth 1.30.0 pyhd3eb1b0_0
google-auth-oauthlib 0.4.4 pyhd3eb1b0_0
google-pasta 0.2.0 py_0
grpcio 1.36.1 py38hc60d5dd_1
h5py 2.10.0 py38h5e291fa_0
hdf5 1.10.4 h7ebc959_0
icc_rt 2019.0.0 h0cc432a_1
idna 2.10 pyhd3eb1b0_0
importlib-metadata 3.10.0 py38haa95532_0
intel-openmp 2021.2.0 haa95532_616
keras-applications 1.0.8 py_1
keras-preprocessing 1.1.2 pyhd3eb1b0_0
libprotobuf 3.14.0 h23ce68f_0
markdown 3.3.4 py38haa95532_0
mkl 2021.2.0 haa95532_296
mkl-service 2.3.0 py38h2bbff1b_1
mkl_fft 1.3.0 py38h277e83a_2
mkl_random 1.2.1 py38hf11a4ad_2
multidict 5.1.0 py38h2bbff1b_2
numpy 1.20.1 py38h34a8a5c_0
numpy-base 1.20.1 py38haf7ebc8_0
oauthlib 3.1.0 py_0
openssl 1.1.1k h2bbff1b_0
opt_einsum 3.1.0 py_0
pip 21.0.1 py38haa95532_0
protobuf 3.14.0 py38hd77b12b_1
pyasn1 0.4.8 py_0
pyasn1-modules 0.2.8 py_0
pycparser 2.20 py_2
pyjwt 1.7.1 py38_0
pyopenssl 20.0.1 pyhd3eb1b0_1
pyreadline 2.1 py38_1
pysocks 1.7.1 py38haa95532_0
python 3.8.8 hdbf39b2_5
requests 2.25.1 pyhd3eb1b0_0
requests-oauthlib 1.3.0 py_0
rsa 4.7.2 pyhd3eb1b0_1
scipy 1.6.2 py38h66253e8_1
setuptools 52.0.0 py38haa95532_0
six 1.15.0 py38haa95532_0
sqlite 3.35.4 h2bbff1b_0
tensorboard 2.4.0 pyhc547734_0
tensorboard-plugin-wit 1.6.0 py_0
tensorflow 2.3.0 mkl_py38h8c0d9a2_0
tensorflow-addons 0.12.1 pypi_0 pypi
tensorflow-base 2.3.0 eigen_py38h75a453f_0
tensorflow-estimator 2.3.0 pyheb71bc4_0
termcolor 1.1.0 py38haa95532_1
typeguard 2.12.0 pypi_0 pypi
typing-extensions 3.7.4.3 hd3eb1b0_0
typing_extensions 3.7.4.3 pyh06a4308_0
urllib3 1.26.4 pyhd3eb1b0_0
vc 14.2 h21ff451_1
vs2015_runtime 14.27.29016 h5e58377_2
werkzeug 1.0.1 pyhd3eb1b0_0
wheel 0.36.2 pyhd3eb1b0_0
win_inet_pton 1.1.0 py38haa95532_0
wincertstore 0.2 py38_0
wrapt 1.12.1 py38he774522_1
yarl 1.6.3 py38h2bbff1b_0
zipp 3.4.1 pyhd3eb1b0_0
zlib 1.2.11 h62dcd97_4
谁能告诉我这有什么问题吗？
尽量不要混用 conda 和 pip 安装。
如果您不想删除环境并重新开始，可以：
- 尝试 运行
conda remove tensorflow从 conda 中删除 tensorflow（如果你想坚持使用pip） - 尝试 运行
pip uninstall tensorflow，然后 运行conda install protobuf（如果你想坚持使用conda）
但最明智的做法可能是从一个新的 conda/virtualenv 环境开始，然后 运行 conda install tensorflow protobuf 或 pip install tensorflow protobuf。