AttributeError: 加载 tf.compat.v1.train.SessionRunHook 时，模块“tensorflow”没有属性“compat”

Question

我可以看到这里之前已经问过这个问题 tensorflow-has-no-attribute-compat

但给出的答案是

Microsoft Visual C++ 2015-2019 Redistributable (x64)

它对前一个成员不起作用，对我也不起作用。我安装了 Visual Studio 2019。我还是下载了它并运行了（MV C++）的修复以防万一。仍然得到同样的错误。

话虽如此，我还没有在 google 或 stackoverflow 上的任何地方找到有效的解决方案。以下是我已安装的一些规范详细信息。

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

3.7.7 的 python 包。通过 pip 安装的所有软件包。仅通过 conda 安装了 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

这是我尝试导入 tensorflow 时遇到的错误。（注意：我在 Tensorflow 2.1 的 GPU 安装和 CPU 安装中遇到此错误）

    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'

Answer 1

这通常是由损坏的 TensorFlow-estimator 模块引起的。

简单地做一个

pip install tensorflow-estimator==2.1.*

Answer 2

Conda 用户的特别注意事项：

当一个人进入conda install tensorflow它安装2.1.0但它带来了tensorflow-estimator 2.2.0。要解决此问题，只需conda install tensorflow-estimator==2.1.0在 Conda 中安装 tensorflow 2.1.0 后运行即可。

此建议在 conda 切换到 TF 2.2.0（或更好地切换到 2.3.0）之前有效

归功于此 TF github 线程

更新：截至 2021 年 8 月 20 日，Conda 拥有适用于 Windows 的 TF 2.4 和适用于 Linux 的 TF 2.5。点击此处查看 Conda 中 TF 支持的当前状态。