TypeError: _open() got an unexpected keyword argument 'pilmode'

[moldach]

I'm getting the following error:

2021-03-24 12:08:59.689159: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
Traceback (most recent call last):
  File "style.py", line 167, in <module>
    main()
  File "style.py", line 117, in main
    style_target = get_img(options.style)
  File "src/utils.py", line 18, in get_img
    img = imageio.imread(src, pilmode='RGB') # misc.imresize(, (256, 256, 3))
  File "/scratch/moldach/fst/tensorflow/lib/python3.8/site-packages/imageio/core/functions.py", line 185, in imread
    reader = read(uri, format, 'i', **kwargs)
  File "/scratch/moldach/fst/tensorflow/lib/python3.8/site-packages/imageio/core/functions.py", line 111, in get_reader
    return format.get_reader(request)
  File "/scratch/moldach/fst/tensorflow/lib/python3.8/site-packages/imageio/core/format.py", line 169, in get_reader
    return self.Reader(self, request)
  File "/scratch/moldach/fst/tensorflow/lib/python3.8/site-packages/imageio/core/format.py", line 218, in __init__
    self._open(**self.request.kwargs.copy())
TypeError: _open() got an unexpected keyword argument 'pilmode'
~

From this style.py:

#!/bin/bash
#SBATCH --gres=gpu:1        # request GPU
#SBATCH --account=def-mtarailo
#SBATCH --cpus-per-task=1   # maximum CPU cores per GPU request
#SBATCH --time=00:20:00     # request 8 hours of walltime
#SBATCH --mem=3G            # request 10G (or 1G per core)
#SBATCH --job-name="hen2"
#SBATCH --output=/scratch/moldach/fst/checkpoints/jobs/%x-%j.out  # %N for node name, %j for jobID
#SBATCH --error=/scratch/moldach/fst/checkpoints/jobs/%x-%j.err  # %N for node name, %j for jobID

### JOB SCRIPT BELLOW ###

# Load Modules
module load StdEnv/2020 cudacore/.11.0.2 cudnn/8.0.3
#module load scipy-stack
source tensorflow/bin/activate

python style.py \
    --style /scratch/moldach/fst/input/kandinsky.jpg   \
    --checkpoint-dir /scratch/moldach/fst/checkpoints/tulip_nebular  \
    --content-weight 1.5e1 \
    --checkpoint-iterations 1000 \
    --batch-size 20

And this tensorflow environment looks like:

pip freez:

(tensorflow) [moldach@beluga2 fst]$ pip freeze
DEPRECATION: --find-links option in pip freeze is deprecated. pip 21.2 will remove support for this functionality. You can find discussion regarding this at https://github.com/pypa/pip/issues/9069.
-f /cvmfs/soft.computecanada.ca/custom/python/wheelhouse/gentoo/avx512
-f /cvmfs/soft.computecanada.ca/custom/python/wheelhouse/gentoo/avx2
-f /cvmfs/soft.computecanada.ca/custom/python/wheelhouse/gentoo/generic
-f /cvmfs/soft.computecanada.ca/custom/python/wheelhouse/generic
absl-py==0.11.0
arff==0.9
argon2-cffi==20.1.0
astunparse==1.6.3
async-generator==1.10
attrs==20.2.0
backcall==0.2.0
backports-abc==0.5
backports.shutil-get-terminal-size==1.0.0
bcrypt==3.2.0
bitstring==3.1.7
bleach==3.2.1
blist==1.3.6
cachetools==4.2.1
certifi==2020.12.5
cffi==1.14.3
chardet==4.0.0
cryptography==3.1.1
cycler==0.10.0
Cython==0.29.21
deap==1.3.1
decorator==4.0.11
defusedxml==0.6.0
dnspython==2.0.0
ecdsa==0.16.0
entrypoints==0.3
flatbuffers==1.12
funcsigs==1.0.2
gast==0.3.3
google-auth==1.27.0
google-auth-oauthlib==0.4.2
google-pasta==0.2.0
grpcio==1.32.0
h5py==2.10.0
idna==2.10
imageio==2.1.2
importlib-metadata==2.0.0
ipykernel==5.3.4
ipython==7.18.1
ipython-genutils==0.2.0
ipywidgets==7.5.1
jedi==0.17.2
Jinja2==2.11.2
jsonschema==3.2.0
jupyter-client==6.1.7
jupyter-core==4.6.3
jupyterlab-pygments==0.1.2
Keras-Preprocessing==1.1.2
kiwisolver==1.2.0
lockfile==0.12.2
Markdown==3.3.4
MarkupSafe==1.1.1
matplotlib==3.3.2
mistune==0.8.4
mock==4.0.2
moviepy==0.2.3.2
mpmath==1.1.0
nbclient==0.5.0
nbconvert==6.0.7
nbformat==5.0.7
nest-asyncio==1.4.1
netaddr==0.8.0
netifaces==0.10.9
nose==1.3.7
notebook==6.1.4
numpy==1.19.1
oauthlib==3.1.0
opt-einsum==3.3.0
packaging==20.4
pandas==1.1.3
pandocfilters==1.4.2
paramiko==2.7.2
parso==0.7.0
path==15.0.0
path.py==12.5.0
pathlib2==2.3.5
paycheck==1.0.2
pbr==5.5.0
pexpect==4.8.0
pickleshare==0.7.5
Pillow==7.2.0
prometheus-client==0.8.0
prompt-toolkit==3.0.7
protobuf==3.15.3
ptyprocess==0.6.0
pyasn1==0.4.8
pyasn1-modules==0.2.8
pycparser==2.20
Pygments==2.7.1
PyNaCl==1.4.0
pyparsing==2.4.7
pyrsistent==0.17.3
python-dateutil==2.8.1
pytz==2020.1
pyzmq==19.0.2
requests==2.25.1
requests-oauthlib==1.3.0
rsa==4.7.2
scipy==1.5.2
Send2Trash==1.5.0
simplegeneric==0.8.1
singledispatch==3.4.0.3
six==1.15.0
sympy==1.6.2
tensorboard==2.4.1
tensorboard-plugin-wit==1.7.0
tensorflow-estimator==2.4.0
tensorflow-gpu==2.4.1
termcolor==1.1.0
terminado==0.9.1
testpath==0.4.4
tornado==6.0.4
tqdm==4.11.2
traitlets==5.0.4
typing-extensions==3.7.4.3
urllib3==1.26.4
wcwidth==0.2.5
webencodings==0.5.1
Werkzeug==1.0.1
widgetsnbextension==3.5.1
wrapt==1.12.1
zipp==3.3.0

The input file is here