Vision: pillow 7.0.0 has removed `PILLOW_VERSION`
In the newest version of pillow, the attribute PILLOW_VERSION is removed in favor of PIL.__version__. torchvision relies on the old behaviour and breaks on import with
>>> import torchvision
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "./venv/lib/python3.7/site-packages/torchvision/__init__.py", line 4, in <module>
from torchvision import datasets
File "./venv/lib/python3.7/site-packages/torchvision/datasets/__init__.py", line 9, in <module>
from .fakedata import FakeData
File "./venv/lib/python3.7/site-packages/torchvision/datasets/fakedata.py", line 3, in <module>
from .. import transforms
File "./venv/lib/python3.7/site-packages/torchvision/transforms/__init__.py", line 1, in <module>
from .transforms import *
File "./venv/lib/python3.7/site-packages/torchvision/transforms/transforms.py", line 17, in <module>
from . import functional as F
File "./venv/lib/python3.7/site-packages/torchvision/transforms/functional.py", line 5, in <module>
from PIL import Image, ImageOps, ImageEnhance, PILLOW_VERSION
ImportError: cannot import name 'PILLOW_VERSION' from 'PIL' (./venv/lib/python3.7/site-packages/PIL/__init__.py)
See for reference this issue in Pillow https://github.com/python-pillow/Pillow/issues/4130.
I don't know if version 7 of Pillow breaks torchvision in other ways. Instead of resolving this directly, the <7.0 dependency rule could also be added to the requirements of torchvision.
Gijs-Koot
All 7 comments
Thanks for opening the issue!
This is a duplicate of https://github.com/pytorch/vision/issues/1712, and has been fixed in torchvision master already. We will be releasing a new version of torchvision early next week, which contains the fix.
fmassa
on 3 Jan 2020
what is the minimum version of pytorch and torchvision for this error to stop?
brando90
on 27 Mar 2020
1712
What is the solution for this issue?
I have pytorch 1.4.0 and it seems to still be a problem:
(automl) brandBrandoParetoopareto~/automl-meta-learning/automl/experiments $ conda list
# packages in environment at /Users/brandBrandoParetoopareto/anaconda3/envs/automl:
#
# Name Version Build Channel
absl-py 0.9.0 py37_0
asn1crypto 1.3.0 py37_0
astroid 2.3.3 py37_0
beautifulsoup4 4.8.2 py37_0
blas 1.0 mkl
bzip2 1.0.8 h1de35cc_0
c-ares 1.15.0 h1de35cc_1001
ca-certificates 2020.1.1 0
certifi 2019.11.28 py37_1
cffi 1.14.0 py37hb5b8e2f_0
chardet 3.0.4 py37_1003
conda 4.8.3 py37_0
conda-build 3.18.11 py37_0
conda-package-handling 1.6.0 py37h1de35cc_0
cryptography 2.8 py37ha12b0ac_0
filelock 3.0.12 py_0
freetype 2.9.1 hb4e5f40_0
glob2 0.7 py_0
grpcio 1.16.1 py37h044775b_1
idna 2.9 py_1
intel-openmp 2019.4 233
isort 4.3.21 py37_0
jinja2 2.11.1 py_0
jpeg 9b he5867d9_2
lazy-object-proxy 1.4.3 py37h1de35cc_0
libarchive 3.3.3 h786848e_5
libcxx 4.0.1 hcfea43d_1
libcxxabi 4.0.1 hcfea43d_1
libedit 3.1.20181209 hb402a30_0
libffi 3.2.1 h475c297_4
libgfortran 3.0.1 h93005f0_2
libiconv 1.15 hdd342a3_7
liblief 0.9.0 h2a1bed3_2
libpng 1.6.37 ha441bb4_0
libprotobuf 3.11.4 hd9629dc_0
libtiff 4.1.0 hcb84e12_0
libxml2 2.9.9 hf6e021a_1
lz4-c 1.8.1.2 h1de35cc_0
lzo 2.10 h362108e_2
markdown 3.1.1 py37_0
markupsafe 1.1.1 py37h1de35cc_0
mccabe 0.6.1 py37_1
mkl 2019.4 233
mkl-service 2.3.0 py37hfbe908c_0
mkl_fft 1.0.15 py37h5e564d8_0
mkl_random 1.1.0 py37ha771720_0
ncurses 6.2 h0a44026_0
ninja 1.9.0 py37h04f5b5a_0
numpy 1.18.1 py37h7241aed_0
numpy-base 1.18.1 py37h6575580_1
olefile 0.46 py37_0
openssl 1.1.1e h1de35cc_0
pillow 7.0.0 py37h4655f20_0
pip 20.0.2 py37_1
pkginfo 1.5.0.1 py37_0
protobuf 3.11.4 py37h0a44026_0
psutil 5.7.0 py37h1de35cc_0
py-lief 0.9.0 py37h1413db1_2
pycosat 0.6.3 py37h1de35cc_0
pycparser 2.20 py_0
pylint 2.4.4 py37_0
pyopenssl 19.1.0 py37_0
pysocks 1.7.1 py37_0
python 3.7.7 hc70fcce_0_cpython
python-libarchive-c 2.8 py37_13
pytorch 1.4.0 py3.7_0 pytorch
pytz 2019.3 py_0
pyyaml 5.3.1 py37h1de35cc_0
readline 8.0 h1de35cc_0
requests 2.23.0 py37_0
ripgrep 11.0.2 he32d670_0
ruamel_yaml 0.15.87 py37h1de35cc_0
setuptools 46.1.1 py37_0
six 1.14.0 py37_0
soupsieve 2.0 py_0
sqlite 3.31.1 ha441bb4_0
tensorboard 2.0.0 pyhb38c66f_1
tk 8.6.8 ha441bb4_0
torchvision 0.2.1 py_2 soumith
tqdm 4.43.0 py_0
urllib3 1.25.8 py37_0
werkzeug 1.0.0 py_0
wheel 0.34.2 py37_0
wrapt 1.12.1 py37h1de35cc_1
xz 5.2.4 h1de35cc_4
yaml 0.1.7 hc338f04_2
zlib 1.2.11 h1de35cc_3
zstd 1.3.7 h5bba6e5_0
seems this temp soln works:
conda install pillow=6.2.1 -y
This issue is fixed with PyTorch and TorchVision nightlies. A new stable release of both libraries will be released next week.
Note that the release 0.5.0 didn't contain the fix
fmassa
on 6 Apr 2020
I am obtaining torchvision using the docker image nvcr.io/nvidia/pytorch:19.11-py3. Is there a docker image that incorporates the change above?
free-soellingeraj
on 14 May 2020
@free-soellingeraj I don't know. I don't think we provide docker images with our libraries.
cc @seemethere
fmassa
on 14 May 2020
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