我正在尝试在运行Conda的Ubuntu 16.04中使用一些python库(支持GPU的tensorflow,opencv和gdal)及其各种依赖项来启动一个nvidia-docker(2.0)容器.
问题的一般解释
我需要在该环境中使用pip安装一些库(例如tensorflow-gpu 1.10.0和其他一些自定义库),但是无论何时我尝试使用pip在我的Dockerfile中安装包,或者之后,我得到以下错误:
Exception:
Traceback (most recent call last):
File "/opt/conda/envs/tf_keras/lib/python3.6/site-packages/pip/_vendor/pkg_resources/__init__.py",line 2869,in _dep_map
return self.__dep_map
File "/opt/conda/envs/tf_keras/lib/python3.6/site-packages/pip/_vendor/pkg_resources/__init__.py",line 2663,in __getattr__
raise AttributeError(attr)
AttributeError: _DistInfoDistribution__dep_map
During handling of the above exception,another exception occurred:
Traceback (most recent call last):
File "/opt/conda/envs/tf_keras/lib/python3.6/site-packages/pip/_vendor/packaging/requirements.py",line 93,in __init__
req = REQUIREMENT.parseString(requirement_string)
File "/opt/conda/envs/tf_keras/lib/python3.6/site-packages/pip/_vendor/pyparsing.py",line 1632,in parseString
raise exc
File "/opt/conda/envs/tf_keras/lib/python3.6/site-packages/pip/_vendor/pyparsing.py",line 1622,in parseString
loc,tokens = self._parse( instring,0 )
File "/opt/conda/envs/tf_keras/lib/python3.6/site-packages/pip/_vendor/pyparsing.py",line 1379,in _parseNoCache
loc,tokens = self.parseImpl( instring,preloc,doActions )
File "/opt/conda/envs/tf_keras/lib/python3.6/site-packages/pip/_vendor/pyparsing.py",line 3395,in parseImpl
loc,exprtokens = e._parse( instring,loc,line 1383,line 3183,in parseImpl
raise ParseException(instring,self.errmsg,self)
pip._vendor.pyparsing.ParseException: Expected stringEnd (at char 33),(line:1,col:34)
During handling of the above exception,another exception occurred:
Traceback (most recent call last):
File "/opt/conda/envs/tf_keras/lib/python3.6/site-packages/pip/_vendor/pkg_resources/__init__.py",line 2949,in __init__
super(Requirement,self).__init__(requirement_string)
File "/opt/conda/envs/tf_keras/lib/python3.6/site-packages/pip/_vendor/packaging/requirements.py",line 97,in __init__
requirement_string[e.loc:e.loc + 8]))
pip._vendor.packaging.requirements.InvalidRequirement: Invalid requirement,parse error at "'; extra '"
During handling of the above exception,another exception occurred:
Traceback (most recent call last):
File "/opt/conda/envs/tf_keras/lib/python3.6/site-packages/pip/_internal/basecommand.py",line 141,in main
status = self.run(options,args)
File "/opt/conda/envs/tf_keras/lib/python3.6/site-packages/pip/_internal/commands/install.py",line 330,in run
self._warn_about_conflicts(to_install)
File "/opt/conda/envs/tf_keras/lib/python3.6/site-packages/pip/_internal/commands/install.py",line 456,in _warn_about_conflicts
package_set,_dep_info = check_install_conflicts(to_install)
File "/opt/conda/envs/tf_keras/lib/python3.6/site-packages/pip/_internal/operations/check.py",line 98,in check_install_conflicts
package_set = create_package_set_from_installed()
File "/opt/conda/envs/tf_keras/lib/python3.6/site-packages/pip/_internal/operations/check.py",line 41,in create_package_set_from_installed
package_set[name] = PackageDetails(dist.version,dist.requires())
File "/opt/conda/envs/tf_keras/lib/python3.6/site-packages/pip/_vendor/pkg_resources/__init__.py",line 2607,in requires
dm = self._dep_map
File "/opt/conda/envs/tf_keras/lib/python3.6/site-packages/pip/_vendor/pkg_resources/__init__.py",line 2871,in _dep_map
self.__dep_map = self._compute_dependencies()
File "/opt/conda/envs/tf_keras/lib/python3.6/site-packages/pip/_vendor/pkg_resources/__init__.py",line 2881,in _compute_dependencies
reqs.extend(parse_requirements(req))
File "/opt/conda/envs/tf_keras/lib/python3.6/site-packages/pip/_vendor/pkg_resources/__init__.py",line 2942,in parse_requirements
yield Requirement(line)
File "/opt/conda/envs/tf_keras/lib/python3.6/site-packages/pip/_vendor/pkg_resources/__init__.py",line 2951,in __init__
raise RequirementParseError(str(e))
pip._vendor.pkg_resources.RequirementParseError: Invalid requirement,parse error at "'; extra '"
如果我尝试使用pip而不是conda install安装其他软件包,则会出现同样的错误(我尝试过的其他软件包是setuptools,h5py,以及其他几个我不记得了)
Dockerfile
这是用于生成此的Dockerfile,直到抛出错误的位置(安装tensorflow时):
FROM nvidia/cuda:9.0-devel-ubuntu16.04
LABEL maintainer "[deleted]"
# get correct version of CUDNN for my system's CUDA
ENV CUDNN_VERSION 7.3.0.29
LABEL com.nvidia.cudnn.version="${CUDNN_VERSION}"
RUN apt-get update && apt-get install -y --no-install-recommends \
libcudnn7=$CUDNN_VERSION-1+cuda9.0 \
libcudnn7-dev=$CUDNN_VERSION-1+cuda9.0 && \
apt-mark hold libcudnn7 && \
rm -rf /var/lib/apt/lists/*
# install underlying requirements
RUN apt-get update \
&& apt-get install -y --no-install-recommends \
bc \
bzip2 \
ca-certificates \
curl \
git \
libgl1 \
jq \
nfs-common \
parallel \
python-pip \
python-wheel \
python-setuptools \
unzip \
wget \
build-essential \
&& apt-get clean \
&& rm -rf /var/lib/apt/lists/*
# install anaconda
RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-4.5.4-Linux-x86_64.sh -O ~/miniconda.sh && \
/bin/bash ~/miniconda.sh -b -p /opt/conda && \
rm ~/miniconda.sh && \
/opt/conda/bin/conda clean -tipsy && \
ln -s /opt/conda/etc/profile.d/conda.sh /etc/profile.d/conda.sh && \
echo ". /opt/conda/etc/profile.d/conda.sh" >> ~/.bashrc && \
echo "conda activate base" >> ~/.bashrc
ENV TINI_VERSION v0.16.1
ADD https://github.com/krallin/tini/releases/download/${TINI_VERSION}/tini /usr/bin/tini
RUN chmod +x /usr/bin/tini
# add conda to $PATH and create a conda environment
ENV PATH /opt/conda/bin:$PATH
RUN conda update conda && \
conda config --remove channels defaults && \
conda config --add channels conda-forge && \
conda create -n tf_keras python=3.6 \
&& echo "source activate tf_keras" > ~/.bashrc
ENV PATH /opt/conda/envs/tf_keras/bin:$PATH
SHELL ["/bin/bash","-c"]
# install required libraries (and some dependencies)
RUN conda install -n tf_keras \
osmnx=0.7.3 \
affine \
pyproj \
pyhamcrest=1.9.0 \
cython \
fiona \
h5py \
ncurses \
jupyter \
jupyterlab \
ipykernel \
libgdal \
matplotlib \
numpy \
opencv \
pandas \
pillow \
pip \
scipy \
scikit-image \
scikit-learn \
shapely \
gdal \
rtree \
tqdm \
pandas \
geopandas \
rasterio
# get tensorflow
ARG TENSORFLOW_VERSION=1.10.0
ARG TENSORFLOW_DEVICE=gpu
ARG TENSORFLOW_APPEND=_gpu
RUN source activate tf_keras && \
pip --no-cache-dir install https://storage.googleapis.com/tensorflow/linux/${TENSORFLOW_DEVICE}/tensorflow${TENSORFLOW_APPEND}-${TENSORFLOW_VERSION}-cp36-cp36m-linux_x86_64.whl
最后一个RUN命令抛出错误.
我尝试过的事情:
>不同版本的点子(10.0.1和18.0)
> pip upgrade pip或conda upgrade pip(尝试以这种方式更新pip会抛出同样的错误)
>更新setuptools(如果我尝试用pip执行它会抛出相同的错误)
>我已经通过预先设置echo $(pip)&& amp;来检查以确保使用了正确的pip.在我的pip install命令之前 – 它返回虚拟环境的pip.
我只是使用conda安装所有内容并忽略它,但我的组内部有几个库不适用于conda.
最佳答案
您应该降级您的testpath版本:
conda install 'testpath<0.4'
请参阅此处的问题:https://github.com/conda-forge/testpath-feedstock/issues/7