我正试图在Google Colab中导入Tensorflow的最新rc2版本(目前为2.2.0rc2),但从我的setup.py安装脚本安装时无法导入
当我使用Colab单元格中的!pip install tensorflow==2.2.0rc2
手动安装Tensorflow时,一切正常,我可以导入Tensorflow
接下来是如何在Google Colab中安装依赖项:
# Executes the cell in bash mode
%%bash
if [ ! -d "/content/deep-deblurring/" ];
then
git clone https://github.com/ElPapi42/deep-deblurring;
cd deep-deblurring/
else
cd deep-deblurring/;
git pull;
fi;
git checkout development
cd ..
pip uninstall -y tensorflow tensor2tensor tensorboard tensorboardcolab tensorflow-datasets tensorflow-estimator tensorflow-gan tensorflow-hub tensorflow-metadata tensorflow-privacy tensorflow-probability
pip install colab-env
pip install --upgrade grpcio
cd deep-deblurring/
python setup.py install
cd ..
下一个是我的setup.py文件:
#!/usr/bin/python
# coding=utf-8
"""Setup and install the package and all the dependencies."""
from setuptools import setup, find_packages
with open('requirements.txt') as pro:
INSTALL_REQUIRES = pro.read().split('\n')
setup(
author='Whitman Bohorquez, Mo Rebaie',
author_email='whitman-2@hotmail.com',
name='deblurrer',
license='MIT',
description='Image Deblurring using Deep Learning Architecture',
version='1.0.0',
url='',
packages=find_packages(),
include_package_data=True,
python_requires='>=3.6',
install_requires=INSTALL_REQUIRES,
classifiers=[
'Development Status :: Alpha',
'Programming Language :: Python',
'Programming Language :: Python :: 3.6',
'Intended Audience :: Developers',
],
)
下一个是存储库中的requirements.txt:
grpcio == 1.27.2
kaggle
numpy
tensorflow >= 2.2.0rc2
pandas
实际上,Google Colab附带了Tensorflow 2.2.0rc1,但我想要rc2。当我执行:
import tensorflow as tf
print(tf.__version__)
在执行setup.py安装脚本之前,导入工作正常。但是在使用setup.py完成安装之后,会抛出错误ImportError: No module named 'tensorflow'
我在执行python setup.py install
之前和之后检查了tensorflow的安装,一切似乎都正常,安装前使用tensorflow 2.2.0rc1,安装后使用2.2.0rc2
正如我首先提到的,当我使用!pip install tensorflow==2.2.0rc2
手动安装tensorflow时,导入工作正常,所以问题一定是围绕setup.py
文件或需求,类似的,但我没有看到它
希望你们的帮助
PD:这个项目设置在上周五的最后一周开始工作,但今天我尝试运行它,突然没有明显的原因而停止工作
PD2:https://colab.research.google.com/drive/1Qv8h4ceEtDTq5lvt1uKJG8dk53_bUqBZ这是我与您共享的一个Colab笔记本,它设置了重现问题的代码
PD3:这是导入tensorflow时Google Colab中的完整错误回溯抛出:
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
/usr/lib/python3.6/importlib/_bootstrap.py in _find_spec(name, path, target)
AttributeError: '_TensorflowImportHook' object has no attribute 'find_spec'
During handling of the above exception, another exception occurred:
ImportError Traceback (most recent call last)
2 frames
<ipython-input-7-69e5d056d1fc> in <module>()
----> 1 import tensorflow as tf
2
3 tf.__version__
/usr/local/lib/python3.6/dist-packages/google/colab/_import_hooks/_tensorflow.py in find_module(self, fullname, path)
26 if fullname != 'tensorflow':
27 return None
---> 28 self.module_info = imp.find_module(fullname.split('.')[-1], path)
29 return self
30
/usr/lib/python3.6/imp.py in find_module(name, path)
295 break # Break out of outer loop when breaking out of inner loop.
296 else:
--> 297 raise ImportError(_ERR_MSG.format(name), name=name)
298
299 encoding = None
ImportError: No module named 'tensorflow'
---------------------------------------------------------------------------
NOTE: If your import is failing due to a missing package, you can
manually install dependencies using either !pip or !apt.
To view examples of installing some common dependencies, click the
"Open Examples" button below.
---------------------------------------------------------------------------
tensorflow
没有什么问题,而是Colab的_TensorflowImportHook
缺少find_spec
impl,因此如果tensorflow
作为egg dir安装,它将引发。由于钩子除了发出将tensorflow
更新为2.0和is scheduled for removal anyway的通知之外没有任何用处,因此一个简单的修复方法是从笔记本开始的某处sys.meta_path
清除它:我找到了一个解决办法,但到目前为止,这并不是这个问题的解决方案,因此这不会被接受为解决方案,但会帮助有同样困难的人继续工作:
在安装自定义软件包之前,请手动安装您的需求,在我的示例中,这是
pip install -r "/content/deep-deblurring/requirements.txt"
:目前这解决了导入问题,但这不是一个干净的解决方案,希望以后能有更好的解释
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