我在使用 pytorch+cuda 构建 docker 时遇到问题。这是我使用的 dockerfile
#FROM nvidia/cuda:9.0-base-ubuntu16.04
FROM nvidia/cuda:9.2-base-ubuntu18.04
# Install some basic utilities
RUN apt-get update && apt-get install -y \
curl \
ca-certificates \
sudo \
git \
bzip2 \
libx11-6 \
python3-pip\
&& rm -rf /var/lib/apt/lists/*
# Create a working directory
RUN mkdir /app
WORKDIR /app
# Create a non-root user and switch to it
RUN adduser --disabled-password --gecos '' --shell /bin/bash user \
&& chown -R user:user /app
RUN echo "user ALL=(ALL) NOPASSWD:ALL" > /etc/sudoers.d/90-user
USER user
# All users can use /home/user as their home directory
ENV HOME=/home/user
RUN chmod 777 /home/user
# Install Miniconda
RUN curl -so ~/miniconda.sh https://repo.continuum.io/miniconda/Miniconda3-4.7.12.1-Linux-x86_64.sh \
&& chmod +x ~/miniconda.sh \
&& ~/miniconda.sh -b -p ~/miniconda \
&& rm ~/miniconda.sh
ENV PATH=/home/user/miniconda/bin:$PATH
#ENV CONDA_AUTO_UPDATE_CONDA=false
# Create a Python 3.6 environment
RUN /home/user/miniconda/bin/conda install conda-build \
&& /home/user/miniconda/bin/conda create -y --name py36 python=3.6.5 \
&& /home/user/miniconda/bin/conda clean -ya
ENV CONDA_DEFAULT_ENV=py36
ENV CONDA_PREFIX=/home/user/miniconda/envs/$CONDA_DEFAULT_ENV
ENV PATH=$CONDA_PREFIX/bin:$PATH
# CUDA 9.0-specific steps
RUN conda install pytorch torchvision cudatoolkit=9.2 -c pytorch \
&& conda clean -ya
# Install HDF5 Python bindings
RUN conda install -y h5py=2.8.0 \
&& conda clean -ya
RUN pip3 install h5py-cache==1.0
# Install Torchnet, a high-level framework for PyTorch
RUN pip3 install torchnet==0.0.4
# Install Requests, a Python library for making HTTP requests
RUN conda install -y requests=2.19.1 \
&& conda clean -ya
# Install Graphviz
RUN conda install -c anaconda graphviz \
&& conda clean -ya
# Install OpenCV3 Python bindings
RUN sudo apt-get update && sudo apt-get install -y --no-install-recommends \
libgtk2.0-0 \
libcanberra-gtk-module \
&& sudo rm -rf /var/lib/apt/lists/*
RUN conda install -y -c menpo opencv3=3.1.0 \
&& conda clean -ya
# Install Numpy
RUN conda install -y -c anaconda numpy \
&& conda clean -ya
# Install matplotlib
RUN conda install -c conda-forge matplotlib \
&& conda clean -ya
# Install pandas
RUN conda install -c anaconda pandas \
&& conda clean -ya
# Install Nano
RUN sudo apt-get update && sudo apt-get install -y nano
#Copy data
RUN mkdir sfsnet
COPY /SfSNet/ /app/sfsnet/
# Set the default command to python3
#CMD ["python3"]
问题是每当我尝试导入 torchvision 时它总是返回与 PIL 相关的错误。
PIL.__version__
'7.0.0'
>>> import torchvision
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/user/miniconda/envs/py36/lib/python3.6/site-packages/torchvision/__init__.py", line 4, in <module>
from torchvision import datasets
File "/home/user/miniconda/envs/py36/lib/python3.6/site-packages/torchvision/datasets/__init__.py", line 9, in <module>
from .fakedata import FakeData
File "/home/user/miniconda/envs/py36/lib/python3.6/site-packages/torchvision/datasets/fakedata.py", line 3, in <module>
from .. import transforms
File "/home/user/miniconda/envs/py36/lib/python3.6/site-packages/torchvision/transforms/__init__.py", line 1, in <module>
from .transforms import *
File "/home/user/miniconda/envs/py36/lib/python3.6/site-packages/torchvision/transforms/transforms.py", line 17, in <module>
from . import functional as F
File "/home/user/miniconda/envs/py36/lib/python3.6/site-packages/torchvision/transforms/functional.py", line 5, in <module>
from PIL import Image, ImageOps, ImageEnhance, PILLOW_VERSION
ImportError: cannot import name 'PILLOW_VERSION'
我读过其他帖子，说这是由于旧版本的错误造成的，应该在新版本的 Torchvision 中修复，但问题仍然存在（参考）有人能给我一些解决方案吗？谢谢
答案1
在 Ubuntu 上pip安装适用于 Python v2 环境的软件包，而您使用的是 Python v3。请改用pip3。
编辑：我没有看到pillow您的 Dockerfile 已安装。此外，似乎所有东西都可以用 Conda 安装，也许应该以这种方式安装，否则它可能不包含在 Conda 环境中。
答案2
Pillow 7.0 版包含对 API 的重大更改，这些更改未完全纳入您所使用的 torchvision 版本。针对此问题的修复已发布到 pipy/Conda 的 Linux 和 Mac 版本。pip install torchvision==0.5.0 是修复重大 API 问题的要求。
打开了一些相关问题。