Cannot build docker image

[marcoct]

When building the docker image:

docker build -t ubuntu/redner:gpu -f manylinux-gpu.Dockerfile .

The process fails at this step due to an apparent issue with auditwheel:

RUN if [ -d "build" ]; then rm -rf build; fi     && REDNER_CUDA=1 PROJECT_NAME=redner-gpu conda run -n py38 python -m pip wheel -w /dist --verbose .     && for f in /dist/redner*-linux_*.whl;     do       auditwheel repair "$f" -w /dist;     done

The last lines of the printout and the error message are:

Created temporary directory: /tmp/pip-unpack-zazdhxcc
Saved /dist/numpy-1.19.5-cp38-cp38-manylinux2010_x86_64.whl
Saved /dist/Pillow-8.1.0-cp38-cp38-manylinux1_x86_64.whl
Saved /dist/scikit_image-0.18.1-cp38-cp38-manylinux1_x86_64.whl
Saved /dist/matplotlib-3.3.3-cp38-cp38-manylinux1_x86_64.whl
Saved /dist/kiwisolver-1.3.1-cp38-cp38-manylinux1_x86_64.whl
Saved /dist/PyWavelets-1.1.1-cp38-cp38-manylinux1_x86_64.whl
Saved /dist/scipy-1.6.0-cp38-cp38-manylinux1_x86_64.whl
Building wheels for collected packages: redner-gpu
  Created temporary directory: /tmp/pip-wheel-3galg8hh
  Building wheel for redner-gpu (setup.py): started
  Destination directory: /tmp/pip-wheel-3galg8hh
  Building wheel for redner-gpu (setup.py): finished with status 'done'
  Created wheel for redner-gpu: filename=redner_gpu-0.4.28-cp38-cp38-linux_x86_64.whl size=31881666 sha256=65cc3b6acc9fdee0197b2dbde425bc8ac29afc6e392d4cef67f4a7ecce1d188d
  Stored in directory: /tmp/pip-ephem-wheel-cache-bsl14vx5/wheels/40/5d/89/f38b7a58cbc6f6bdff423c409ca06a097d4abae527d8c17f06
Successfully built redner-gpu
Removed build tracker: '/tmp/pip-req-tracker-v6r_1vby'

Traceback (most recent call last):
  File "/usr/local/bin/auditwheel", line 8, in <module>
    sys.exit(main())
  File "/usr/local/lib/python3.6/dist-packages/auditwheel/main.py", line 47, in main
    rval = args.func(args, p)
  File "/usr/local/lib/python3.6/dist-packages/auditwheel/main_repair.py", line 45, in execute
    from .repair import repair_wheel
  File "/usr/local/lib/python3.6/dist-packages/auditwheel/repair.py", line 14, in <module>
    from .wheeltools import InWheelCtx, add_platforms
  File "/usr/local/lib/python3.6/dist-packages/auditwheel/wheeltools.py", line 15, in <module>
    from wheel.util import urlsafe_b64encode, open_for_csv, native  # type: ignore
ImportError: cannot import name 'open_for_csv'
The command '/bin/sh -c if [ -d "build" ]; then rm -rf build; fi     && REDNER_CUDA=1 PROJECT_NAME=redner-gpu conda run -n py38 python -m pip wheel -w /dist --verbose .     && for f in /dist/redner*-linux_*.whl;     do       auditwheel repair "$f" -w /dist;     done' returned a non-zero code: 1

[grimjak]

I think this is due to an incompatibility between auditwheel and wheel versions. I worked around this by adding:

RUN pip install auditwheel

before the "build wheels and convert" section of the dockerfiles.

I then run into a second problem which I think is that the base tensorflow image isn't actually manylinux1 compatible so the auditwheel command complains about the presence of too-recent versioned symbols. I worked around this by adding

--plat linux_x86_64

to the auditwheel commands.

I'm not convinced either of these are a great solution but it might help for the time being.