New Pillow version (7.0.0) breaks torchvision (ImportError: cannot import name 'PILLOW_VERSION' from 'PIL')

[parsing-science]

Hi, it looks like Pillow released version 7.0.0 so I can no longer import torchvision without getting this error: ImportError: cannot import name 'PILLOW_VERSION' from 'PIL'

Pinning to Pillow 6.2.1 fixes the issue.

I see that you fixed this for a future torchvision release (#1501). Do you know when this will be released? If it will be awhile, could the version of Pillow be pinned to be less than 7.0.0 in the meantime?

Thanks.

Versions:
torch: 1.3.1
torchvision: 0.4.2
Pillow: 7.0.0

[fmassa]

Hi,

Thanks for the report!

We will be releasing a new version of PyTorch and torchvision early next week, so this should be soon fixed.

As such, I'm closing the issue, but let me know if you have further questions.

[sachinparyani]

Is there a workaround until then? Is there a version that does not depend on pillow 7.0.0?

[hugovk]

Until the new torchvision release is out, the workaround is either to use the master version of torchvision (eg. pip install -U git+https://github.com/pytorch/vision), or Pillow<7 (eg. pip install "pillow<7").

[fmassa]

@sachinparyani you can also install torchvision from a nightly, which also requires a pytorch from a nightly version, or wait until the next release next week

[mgbvox]

UPDATE:
Following that step, upgrading pillow back to the latest version didn't break anything. Might be an issue with the conda SAT solver?

[kradkahaddi]

From what I remember, I had to use the pip install method @mgbvox . For whatever reason, torchvision 0.5.0 wasn't available on conda when I tried and from what you seem to be saying, it still isn't. And be sure to specify the version of torchvision when you install via pip. Hope this helps. [Edited for clarity] [Edit 2: I see I am a bit late with my comment. Glad you figured it out!]

[brando90]

what is the latest version of pytorch that does not break with this pillow error?

[brando90]

Let us know if you have further questions!

I have a question. What is the solution to this issue? What is the minimum version of pytorch that doesn't break it? how do I solve this?

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

[brando90]

seems this temp soln works:

conda install pillow=6.2.1 -y

[fmassa]

Additionally, using PyTorch and torchvision from a nightly version fixes this

[DSLituiev]

Can someone update torchvision-cpu on conda channel?

conda install torchvision-cpu -c pytorch is still version 0.3.0 with this issue

[eliahuhorwitz]

Can someone update torchvision-cpu on conda channel?

conda install torchvision-cpu -c pytorch is still version 0.3.0 with this issue

Same here

[fmassa]

@DSLituiev I think we don't distribute torchvision-cpu packages anymore, but instead everything is under torchvision.

cc @soumith @seemethere for thoughts

[soumith]

we dont distributed torchvision-cpu packges, but we do distributed Conda CPU-only torchvision packages. They are installable via a label: conda install pytorch torchvision cpuonly -c pytorch
This is documented on pytorch.org , in the install selector, just select CUDA=None

[craftsliu]

Until the new torchvision release is out, the workaround is either to use the master version of torchvision (eg. pip install -U git+https://github.com/pytorch/vision), or Pillow<7 (eg. pip install "pillow<7").

great job,thank you!!

[fmassa]

The latest release of torchvision (with the fix for PILLOW == 7) has been released

[pennarellor]

Hi all, I upgraded to torchvision 0.5.0 and the pillow 7.0.0 issue is solved, but now I get this error

ImportError: cannot import name '_HAS_OPS' from 'torchvision.extension'

torch: 1.4.0
torchvision: 0.5.0
pillow: 7.0.0

[saipreethamsata]

Hi all,I am also getting this error after installing torchvision 0.5.0 and the pillow 7.1.2.
ImportError : cannot import name '_HAS_OPS'
torchvision: 0.5.0
torch: 1.4.0
pillow: 7.1.2

Thanks in Advance!

[fmassa]

Hi @pennarellor and @saipreethamsata

Those are different issues, and I would recommend opening a new issue for those.
It most probably means that you have a mismatch between the pytorch version and the torchvision versions

[axakak]

Hi @pennarellor and @saipreethamsata

I had the same error after resolving the Pillow version issue. Restarting the Jupyter notebook kernel resolved it.

[Morpheus3000]

This might be late, but for fellow travelers led to this by Google, a simpler workaround for this, instead of downgrading can be done by patching the torchvision/transforms/functional.py file. If you remove the PILLOW_VERSION import from the import and then replace PILLOW_VERSION with PIL.version in line 727, then it works without a downgrade. Official PIL docs recommends using version instead.

[silvasean]

I still need to use pillow<7 workaround with:

torchvision             0.14.0.dev20220830+cpu

Is this supposed to be fixed? I see this issue is closed.