AttributeError: module 'tensorflow' has no attribute 'compat' when loading tf.compat.v1.train.SessionRunHook
AttributeError: module 'tensorflow' has no attribute 'compat' when loading tf.compat.v1.train.SessionRunHook
我可以看到这个问题以前在这里问过
tensorflow-has-no-attribute-compat
但给出的答案是
Microsoft Visual C++ 2015-2019 Redistributable (x64)
它对以前的成员不起作用，对我也不起作用。我安装了 visual studio 2019。我还是下载了它，并且 运行 修复了 (MV C++) 以防万一。仍然出现同样的错误。
也就是说我在 google 或 Whosebug 上的任何地方都没有找到有效的解决方案。
这是我安装的一些规格细节。
tensorflow-gpu 2.1
python 3.7.7
CUDA 10.1
Anaconda 3.7
看起来 gpu 启动成功。
2020-06-28 07:19:47.851257: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll
python 3.7.7 的软件包。
所有包都是通过 pip 安装的。只有通过 conda 安装的 tensorflow。不要认为这有什么不同。我使用conda所以我可以指定安装版本2.1，pip会自动安装2.2.
Package Version
---------------------- ----------------------------
absl-py 0.9.0
appdirs 1.4.4
astor 0.7.1
astroid 2.4.2
astropy 4.0.1.post1
attrs 19.3.0
backcall 0.2.0
bayesian-optimization 1.2.0
black 19.10b0
bleach 3.1.5
blinker 1.4
brotlipy 0.7.0
cachetools 4.1.0
certifi 2020.6.20
cffi 1.14.0
chardet 3.0.4
click 7.1.2
cloudpickle 1.3.0
colorama 0.4.3
confuse 1.3.0
cryptography 2.9.2
cycler 0.10.0
decorator 4.4.2
defusedxml 0.6.0
entrypoints 0.3
future 0.18.2
gast 0.2.2
gitdb 4.0.5
GitPython 3.1.3
google-auth 1.17.2
google-auth-oauthlib 0.4.1
google-pasta 0.2.0
grpcio 1.27.2
gym 0.17.2
h2o 3.30.0.5
h5py 2.10.0
htmlmin 0.1.12
idna 2.10
ImageHash 4.1.0
importlib-metadata 1.7.0
invoke 1.4.1
ipykernel 5.3.0
ipython 7.16.1
ipython-genutils 0.2.0
ipywidgets 7.5.1
isort 4.3.21
jedi 0.17.1
Jinja2 2.11.2
joblib 0.15.1
json5 0.9.5
jsonschema 3.2.0
jupyter 1.0.0
jupyter-client 6.1.3
jupyter-console 6.1.0
jupyter-core 4.6.3
jupyterlab 2.1.5
jupyterlab-server 1.1.5
kaggle 1.5.6
Keras 2.4.3
Keras-Applications 1.0.8
Keras-Preprocessing 1.1.0
kiwisolver 1.2.0
lazy-object-proxy 1.4.3
lightgbm 2.3.1
llvmlite 0.33.0
Markdown 3.2.2
MarkupSafe 1.1.1
matplotlib 3.2.2
mccabe 0.6.1
missingno 0.4.2
mistune 0.8.4
mkl-service 2.3.0
nbconvert 5.6.1
nbdime 2.0.0
nbformat 5.0.7
networkx 2.4
notebook 6.0.3
numba 0.50.1
numpy 1.19.0
oauthlib 3.0.1
opt-einsum 0+untagged.56.g2664021.dirty
packaging 20.4
pandas 1.0.5
pandas-profiling 2.8.0
pandocfilters 1.4.2
parso 0.7.0
path 13.1.0
path.py 12.4.0
pathspec 0.8.0
patsy 0.5.1
phik 0.10.0
pickleshare 0.7.5
Pillow 7.1.2
pip 20.1.1
plotly 4.8.2
prometheus-client 0.8.0
prompt-toolkit 3.0.5
protobuf 3.12.3
py4j 0.10.9
pyasn1 0.4.8
pyasn1-modules 0.2.7
pycparser 2.20
pyglet 1.5.0
Pygments 2.6.1
PyJWT 1.7.1
pylint 2.5.3
pyOpenSSL 19.1.0
pyparsing 2.4.7
pyreadline 2.1
pyrsistent 0.16.0
PySocks 1.7.1
pyspark 3.0.0
python-dateutil 2.8.1
python-slugify 4.0.0
pytz 2020.1
PyWavelets 1.1.1
pywin32 228
pywinpty 0.5.7
PyYAML 5.3.1
pyzmq 19.0.1
qtconsole 4.7.5
QtPy 1.9.0
regex 2020.6.8
requests 2.24.0
requests-oauthlib 1.2.0
retrying 1.3.3
rsa 4.6
scikit-learn 0.23.1
scipy 1.5.0
seaborn 0.10.1
Send2Trash 1.5.0
setuptools 47.3.1.post20200616
six 1.15.0
smmap 3.0.4
statsmodels 0.11.1
tabulate 0.8.7
tangled-up-in-unicode 0.0.6
tensorboard 2.2.2
tensorboard-plugin-wit 1.6.0.post3
tensorflow 2.1.0
tensorflow-estimator 2.2.0
termcolor 1.1.0
terminado 0.8.3
testpath 0.4.4
text-unidecode 1.3
threadpoolctl 2.1.0
toml 0.10.1
tornado 6.0.4
tqdm 4.46.1
traitlets 4.3.3
typed-ast 1.4.1
urllib3 1.24.3
visions 0.4.4
wcwidth 0.2.5
webencodings 0.5.1
Werkzeug 0.16.1
wheel 0.34.2
widgetsnbextension 3.5.1
win-inet-pton 1.1.0
wincertstore 0.2
wrapt 1.12.1
zipp 3.1.0
这是我在尝试导入 tensorflow 时遇到的错误。 （注意：我在 GPU 安装和 CPU 安装 Tensorflow 2.1 时遇到此错误）
Python 3.7.7 (default, May 6 2020, 11:45:54) [MSC v.1916 64 bit (AMD64)] :: Anaconda, Inc. on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
2020-07-05 09:48:26.577683: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "G:\ProgramFiles\Anaconda37\envs\tensorflow\lib\site-packages\tensorflow\__init__.py", line 101, in <module>
from tensorflow_core import *
File "G:\ProgramFiles\Anaconda37\envs\tensorflow\lib\site-packages\tensorflow_core\__init__.py", line 46, in <module>
from . _api.v2 import compat
File "G:\ProgramFiles\Anaconda37\envs\tensorflow\lib\site-packages\tensorflow_core\_api\v2\compat\__init__.py", line 39, in <module>
from . import v1
File "G:\ProgramFiles\Anaconda37\envs\tensorflow\lib\site-packages\tensorflow_core\_api\v2\compat\v1\__init__.py", line 32, in <module>
from . import compat
File "G:\ProgramFiles\Anaconda37\envs\tensorflow\lib\site-packages\tensorflow_core\_api\v2\compat\v1\compat\__init__.py", line 39, in <module>
from . import v1
File "G:\ProgramFiles\Anaconda37\envs\tensorflow\lib\site-packages\tensorflow_core\_api\v2\compat\v1\compat\v1\__init__.py", line 29, in <module>
from tensorflow._api.v2.compat.v1 import app
File "G:\ProgramFiles\Anaconda37\envs\tensorflow\lib\site-packages\tensorflow_core\_api\v2\compat\__init__.py", line 39, in <module>
from . import v1
File "G:\ProgramFiles\Anaconda37\envs\tensorflow\lib\site-packages\tensorflow_core\_api\v2\compat\v1\__init__.py", line 32, in <module>
from . import compat
File "G:\ProgramFiles\Anaconda37\envs\tensorflow\lib\site-packages\tensorflow_core\_api\v2\compat\v1\compat\__init__.py", line 39, in <module>
from . import v1
File "G:\ProgramFiles\Anaconda37\envs\tensorflow\lib\site-packages\tensorflow_core\_api\v2\compat\v1\compat\v1\__init__.py", line 667, in <module>
from tensorflow_estimator.python.estimator.api._v1 import estimator
File "G:\ProgramFiles\Anaconda37\envs\tensorflow\lib\site-packages\tensorflow_estimator\__init__.py", line 10, in <module>
from tensorflow_estimator._api.v1 import estimator
File "G:\ProgramFiles\Anaconda37\envs\tensorflow\lib\site-packages\tensorflow_estimator\_api\v1\estimator\__init__.py", line 10, in <module>
from tensorflow_estimator._api.v1.estimator import experimental
File "G:\ProgramFiles\Anaconda37\envs\tensorflow\lib\site-packages\tensorflow_estimator\_api\v1\estimator\experimental\__init__.py", line 10, in <module>
from tensorflow_estimator.python.estimator.canned.dnn import dnn_logit_fn_builder
File "G:\ProgramFiles\Anaconda37\envs\tensorflow\lib\site-packages\tensorflow_estimator\python\estimator\canned\dnn.py", line 33, in <module>
from tensorflow_estimator.python.estimator import estimator
File "G:\ProgramFiles\Anaconda37\envs\tensorflow\lib\site-packages\tensorflow_estimator\python\estimator\estimator.py", line 53, in <module>
from tensorflow_estimator.python.estimator import util as estimator_util
File "G:\ProgramFiles\Anaconda37\envs\tensorflow\lib\site-packages\tensorflow_estimator\python\estimator\util.py", line 75, in <module>
class _DatasetInitializerHook(tf.compat.v1.train.SessionRunHook):
AttributeError: module 'tensorflow' has no attribute 'compat'
这通常是由于 TensorFlow-estimator 模块损坏造成的。
只需做一个
pip install tensorflow-estimator==2.1.*
Conda 用户特别说明:
当输入 conda install tensorflow 时，它会安装 2.1.0，但它会带来 tensorflow-estimator 2.2.0。在 Conda 中安装 tensorflow 2.1.0 后，只需 运行 conda install tensorflow-estimator==2.1.0 即可解决此问题。
此建议在 conda 切换到 TF 2.2.0（或更好的 2.3.0）之前有效
更新：截至 2021 年 8 月 20 日，Conda 有 Windows 的 TF 2.4 和 Linux 的 2.5。检查 here 以查看 Conda 中 TF 支持的当前状态。
您提供的参数是正确的
tensorflow-gpu2.1
python 3.7.7
CUDA 10.1
蟒蛇 3.7
但在张量流中 2.X
首次安装
pip install tensorflow-estimator==2.1.*
然后安装
pip install tensorflow-gpu
然后运行下面命令查看gpu数量
import tensorflow as tf
print("Num GPUs Available: ", len(tf.config.experimental.list_physical_devices('GPU')))
以下解决方案对我有用。 Reference
首先安装 Estimator=2.1，然后安装其余的：
conda remove tensorflow
conda install tensorflow-estimator 2.1
conda install tensorflow-gpu=2.1
我可以看到这个问题以前在这里问过 tensorflow-has-no-attribute-compat
但给出的答案是
Microsoft Visual C++ 2015-2019 Redistributable (x64)
它对以前的成员不起作用，对我也不起作用。我安装了 visual studio 2019。我还是下载了它，并且 运行 修复了 (MV C++) 以防万一。仍然出现同样的错误。
也就是说我在 google 或 Whosebug 上的任何地方都没有找到有效的解决方案。 这是我安装的一些规格细节。
tensorflow-gpu 2.1
python 3.7.7
CUDA 10.1
Anaconda 3.7
看起来 gpu 启动成功。
2020-06-28 07:19:47.851257: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll
python 3.7.7 的软件包。 所有包都是通过 pip 安装的。只有通过 conda 安装的 tensorflow。不要认为这有什么不同。我使用conda所以我可以指定安装版本2.1，pip会自动安装2.2.
Package Version
---------------------- ----------------------------
absl-py 0.9.0
appdirs 1.4.4
astor 0.7.1
astroid 2.4.2
astropy 4.0.1.post1
attrs 19.3.0
backcall 0.2.0
bayesian-optimization 1.2.0
black 19.10b0
bleach 3.1.5
blinker 1.4
brotlipy 0.7.0
cachetools 4.1.0
certifi 2020.6.20
cffi 1.14.0
chardet 3.0.4
click 7.1.2
cloudpickle 1.3.0
colorama 0.4.3
confuse 1.3.0
cryptography 2.9.2
cycler 0.10.0
decorator 4.4.2
defusedxml 0.6.0
entrypoints 0.3
future 0.18.2
gast 0.2.2
gitdb 4.0.5
GitPython 3.1.3
google-auth 1.17.2
google-auth-oauthlib 0.4.1
google-pasta 0.2.0
grpcio 1.27.2
gym 0.17.2
h2o 3.30.0.5
h5py 2.10.0
htmlmin 0.1.12
idna 2.10
ImageHash 4.1.0
importlib-metadata 1.7.0
invoke 1.4.1
ipykernel 5.3.0
ipython 7.16.1
ipython-genutils 0.2.0
ipywidgets 7.5.1
isort 4.3.21
jedi 0.17.1
Jinja2 2.11.2
joblib 0.15.1
json5 0.9.5
jsonschema 3.2.0
jupyter 1.0.0
jupyter-client 6.1.3
jupyter-console 6.1.0
jupyter-core 4.6.3
jupyterlab 2.1.5
jupyterlab-server 1.1.5
kaggle 1.5.6
Keras 2.4.3
Keras-Applications 1.0.8
Keras-Preprocessing 1.1.0
kiwisolver 1.2.0
lazy-object-proxy 1.4.3
lightgbm 2.3.1
llvmlite 0.33.0
Markdown 3.2.2
MarkupSafe 1.1.1
matplotlib 3.2.2
mccabe 0.6.1
missingno 0.4.2
mistune 0.8.4
mkl-service 2.3.0
nbconvert 5.6.1
nbdime 2.0.0
nbformat 5.0.7
networkx 2.4
notebook 6.0.3
numba 0.50.1
numpy 1.19.0
oauthlib 3.0.1
opt-einsum 0+untagged.56.g2664021.dirty
packaging 20.4
pandas 1.0.5
pandas-profiling 2.8.0
pandocfilters 1.4.2
parso 0.7.0
path 13.1.0
path.py 12.4.0
pathspec 0.8.0
patsy 0.5.1
phik 0.10.0
pickleshare 0.7.5
Pillow 7.1.2
pip 20.1.1
plotly 4.8.2
prometheus-client 0.8.0
prompt-toolkit 3.0.5
protobuf 3.12.3
py4j 0.10.9
pyasn1 0.4.8
pyasn1-modules 0.2.7
pycparser 2.20
pyglet 1.5.0
Pygments 2.6.1
PyJWT 1.7.1
pylint 2.5.3
pyOpenSSL 19.1.0
pyparsing 2.4.7
pyreadline 2.1
pyrsistent 0.16.0
PySocks 1.7.1
pyspark 3.0.0
python-dateutil 2.8.1
python-slugify 4.0.0
pytz 2020.1
PyWavelets 1.1.1
pywin32 228
pywinpty 0.5.7
PyYAML 5.3.1
pyzmq 19.0.1
qtconsole 4.7.5
QtPy 1.9.0
regex 2020.6.8
requests 2.24.0
requests-oauthlib 1.2.0
retrying 1.3.3
rsa 4.6
scikit-learn 0.23.1
scipy 1.5.0
seaborn 0.10.1
Send2Trash 1.5.0
setuptools 47.3.1.post20200616
six 1.15.0
smmap 3.0.4
statsmodels 0.11.1
tabulate 0.8.7
tangled-up-in-unicode 0.0.6
tensorboard 2.2.2
tensorboard-plugin-wit 1.6.0.post3
tensorflow 2.1.0
tensorflow-estimator 2.2.0
termcolor 1.1.0
terminado 0.8.3
testpath 0.4.4
text-unidecode 1.3
threadpoolctl 2.1.0
toml 0.10.1
tornado 6.0.4
tqdm 4.46.1
traitlets 4.3.3
typed-ast 1.4.1
urllib3 1.24.3
visions 0.4.4
wcwidth 0.2.5
webencodings 0.5.1
Werkzeug 0.16.1
wheel 0.34.2
widgetsnbextension 3.5.1
win-inet-pton 1.1.0
wincertstore 0.2
wrapt 1.12.1
zipp 3.1.0
这是我在尝试导入 tensorflow 时遇到的错误。 （注意：我在 GPU 安装和 CPU 安装 Tensorflow 2.1 时遇到此错误）
Python 3.7.7 (default, May 6 2020, 11:45:54) [MSC v.1916 64 bit (AMD64)] :: Anaconda, Inc. on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
2020-07-05 09:48:26.577683: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "G:\ProgramFiles\Anaconda37\envs\tensorflow\lib\site-packages\tensorflow\__init__.py", line 101, in <module>
from tensorflow_core import *
File "G:\ProgramFiles\Anaconda37\envs\tensorflow\lib\site-packages\tensorflow_core\__init__.py", line 46, in <module>
from . _api.v2 import compat
File "G:\ProgramFiles\Anaconda37\envs\tensorflow\lib\site-packages\tensorflow_core\_api\v2\compat\__init__.py", line 39, in <module>
from . import v1
File "G:\ProgramFiles\Anaconda37\envs\tensorflow\lib\site-packages\tensorflow_core\_api\v2\compat\v1\__init__.py", line 32, in <module>
from . import compat
File "G:\ProgramFiles\Anaconda37\envs\tensorflow\lib\site-packages\tensorflow_core\_api\v2\compat\v1\compat\__init__.py", line 39, in <module>
from . import v1
File "G:\ProgramFiles\Anaconda37\envs\tensorflow\lib\site-packages\tensorflow_core\_api\v2\compat\v1\compat\v1\__init__.py", line 29, in <module>
from tensorflow._api.v2.compat.v1 import app
File "G:\ProgramFiles\Anaconda37\envs\tensorflow\lib\site-packages\tensorflow_core\_api\v2\compat\__init__.py", line 39, in <module>
from . import v1
File "G:\ProgramFiles\Anaconda37\envs\tensorflow\lib\site-packages\tensorflow_core\_api\v2\compat\v1\__init__.py", line 32, in <module>
from . import compat
File "G:\ProgramFiles\Anaconda37\envs\tensorflow\lib\site-packages\tensorflow_core\_api\v2\compat\v1\compat\__init__.py", line 39, in <module>
from . import v1
File "G:\ProgramFiles\Anaconda37\envs\tensorflow\lib\site-packages\tensorflow_core\_api\v2\compat\v1\compat\v1\__init__.py", line 667, in <module>
from tensorflow_estimator.python.estimator.api._v1 import estimator
File "G:\ProgramFiles\Anaconda37\envs\tensorflow\lib\site-packages\tensorflow_estimator\__init__.py", line 10, in <module>
from tensorflow_estimator._api.v1 import estimator
File "G:\ProgramFiles\Anaconda37\envs\tensorflow\lib\site-packages\tensorflow_estimator\_api\v1\estimator\__init__.py", line 10, in <module>
from tensorflow_estimator._api.v1.estimator import experimental
File "G:\ProgramFiles\Anaconda37\envs\tensorflow\lib\site-packages\tensorflow_estimator\_api\v1\estimator\experimental\__init__.py", line 10, in <module>
from tensorflow_estimator.python.estimator.canned.dnn import dnn_logit_fn_builder
File "G:\ProgramFiles\Anaconda37\envs\tensorflow\lib\site-packages\tensorflow_estimator\python\estimator\canned\dnn.py", line 33, in <module>
from tensorflow_estimator.python.estimator import estimator
File "G:\ProgramFiles\Anaconda37\envs\tensorflow\lib\site-packages\tensorflow_estimator\python\estimator\estimator.py", line 53, in <module>
from tensorflow_estimator.python.estimator import util as estimator_util
File "G:\ProgramFiles\Anaconda37\envs\tensorflow\lib\site-packages\tensorflow_estimator\python\estimator\util.py", line 75, in <module>
class _DatasetInitializerHook(tf.compat.v1.train.SessionRunHook):
AttributeError: module 'tensorflow' has no attribute 'compat'
这通常是由于 TensorFlow-estimator 模块损坏造成的。
只需做一个
pip install tensorflow-estimator==2.1.*
Conda 用户特别说明:
当输入 conda install tensorflow 时，它会安装 2.1.0，但它会带来 tensorflow-estimator 2.2.0。在 Conda 中安装 tensorflow 2.1.0 后，只需 运行 conda install tensorflow-estimator==2.1.0 即可解决此问题。
此建议在 conda 切换到 TF 2.2.0（或更好的 2.3.0）之前有效
更新：截至 2021 年 8 月 20 日，Conda 有 Windows 的 TF 2.4 和 Linux 的 2.5。检查 here 以查看 Conda 中 TF 支持的当前状态。
您提供的参数是正确的
tensorflow-gpu2.1
python 3.7.7
CUDA 10.1
蟒蛇 3.7
但在张量流中 2.X 首次安装
pip install tensorflow-estimator==2.1.*
然后安装
pip install tensorflow-gpu
然后运行下面命令查看gpu数量
import tensorflow as tf
print("Num GPUs Available: ", len(tf.config.experimental.list_physical_devices('GPU')))
以下解决方案对我有用。 Reference
首先安装 Estimator=2.1，然后安装其余的：
conda remove tensorflow
conda install tensorflow-estimator 2.1
conda install tensorflow-gpu=2.1