Dependency resolution failing with pipenv

[reyaboj]

Hello,

As stated in the title, dependency resolution is failing when I follow the instructions in the repo.

The log is provided below.

(Agglomerator_mmlab-cv) 
[admin02@DatascienceSvr01] ~/code/project/Agglomerator_mmlab-cv (main) 
❯ python --version                                                                                                              ⏎
Python 3.8.13

[admin02@DatascienceSvr01] ~/code/project/Agglomerator_mmlab-cv (main) 
❯ pipenv install
Creating a virtualenv for this project...
Pipfile: /home/admin02/code/project/Agglomerator_mmlab-cv/Pipfile
Using /home/admin02/miniconda3/envs/Agglomerator_mmlab-cv/bin/python3.8 (3.8.13) to create virtualenv...
⠧ Creating virtual environment...created virtual environment CPython3.8.13.final.0-64 in 219ms
  creator CPython3Posix(dest=/home/admin02/.local/share/virtualenvs/Agglomerator_mmlab-cv-QpvQ5qn7, clear=False, no_vcs_ignore=False, global=False)
  seeder FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/admin02/.local/share/virtualenv)
    added seed packages: pip==22.0.4, setuptools==62.1.0, wheel==0.37.1
  activators BashActivator,CShellActivator,FishActivator,NushellActivator,PowerShellActivator,PythonActivator

✔ Successfully created virtual environment! 
Virtualenv location: /home/admin02/.local/share/virtualenvs/Agglomerator_mmlab-cv-QpvQ5qn7
Pipfile.lock not found, creating...
Locking [dev-packages] dependencies...
Building requirements...
Resolving dependencies...
✔ Success! 
Locking [packages] dependencies...
Building requirements...
Resolving dependencies...
✘ Locking Failed! 

CRITICAL:pipenv.patched.notpip._internal.resolution.resolvelib.factory:Could not find a version that satisfies the requirement torchvision==0.11.1+cu111 (from versions: 0.1.6, 0.1.7, 0.1.8, 0.1.9, 0.2.0, 0.2.1, 0.2.2, 0.2.2.post2, 0.2.2.post3, 0.5.0, 0.6.0, 0.6.1, 0.7.0, 0.8.0, 0.8.1, 0.8.2, 0.9.0, 0.9.1, 0.10.0, 0.10.1, 0.11.0, 0.11.1, 0.11.2, 0.11.3, 0.12.0)
[ResolutionFailure]:   File "/home/admin02/miniconda3/envs/Agglomerator_mmlab-cv/lib/python3.8/site-packages/pipenv/resolver.py", line 743, in _main
[ResolutionFailure]:       resolve_packages(pre, clear, verbose, system, write, requirements_dir, packages, dev)
[ResolutionFailure]:   File "/home/admin02/miniconda3/envs/Agglomerator_mmlab-cv/lib/python3.8/site-packages/pipenv/resolver.py", line 704, in resolve_packages
[ResolutionFailure]:       results, resolver = resolve(
[ResolutionFailure]:   File "/home/admin02/miniconda3/envs/Agglomerator_mmlab-cv/lib/python3.8/site-packages/pipenv/resolver.py", line 685, in resolve
[ResolutionFailure]:       return resolve_deps(
[ResolutionFailure]:   File "/home/admin02/miniconda3/envs/Agglomerator_mmlab-cv/lib/python3.8/site-packages/pipenv/utils.py", line 1377, in resolve_deps
[ResolutionFailure]:       results, hashes, markers_lookup, resolver, skipped = actually_resolve_deps(
[ResolutionFailure]:   File "/home/admin02/miniconda3/envs/Agglomerator_mmlab-cv/lib/python3.8/site-packages/pipenv/utils.py", line 1106, in actually_resolve_deps
[ResolutionFailure]:       resolver.resolve()
[ResolutionFailure]:   File "/home/admin02/miniconda3/envs/Agglomerator_mmlab-cv/lib/python3.8/site-packages/pipenv/utils.py", line 884, in resolve
[ResolutionFailure]:       raise ResolutionFailure(message=str(e))
[pipenv.exceptions.ResolutionFailure]: Warning: Your dependencies could not be resolved. You likely have a mismatch in your sub-dependencies.
  You can use $ pipenv install --skip-lock to bypass this mechanism, then run $ pipenv graph to inspect the situation.
  Hint: try $ pipenv lock --pre if it is a pre-release dependency.
ERROR: No matching distribution found for torchvision==0.11.1+cu111

[brainstormyyf]

I also meet the same question.

[scutfrank]

Hello,

As stated in the title, dependency resolution is failing when I follow the instructions in the repo.

The log is provided below.

(Agglomerator_mmlab-cv) 
[admin02@DatascienceSvr01] ~/code/project/Agglomerator_mmlab-cv (main) 
❯ python --version                                                                                                              ⏎
Python 3.8.13

[admin02@DatascienceSvr01] ~/code/project/Agglomerator_mmlab-cv (main) 
❯ pipenv install
Creating a virtualenv for this project...
Pipfile: /home/admin02/code/project/Agglomerator_mmlab-cv/Pipfile
Using /home/admin02/miniconda3/envs/Agglomerator_mmlab-cv/bin/python3.8 (3.8.13) to create virtualenv...
⠧ Creating virtual environment...created virtual environment CPython3.8.13.final.0-64 in 219ms
  creator CPython3Posix(dest=/home/admin02/.local/share/virtualenvs/Agglomerator_mmlab-cv-QpvQ5qn7, clear=False, no_vcs_ignore=False, global=False)
  seeder FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/admin02/.local/share/virtualenv)
    added seed packages: pip==22.0.4, setuptools==62.1.0, wheel==0.37.1
  activators BashActivator,CShellActivator,FishActivator,NushellActivator,PowerShellActivator,PythonActivator

✔ Successfully created virtual environment! 
Virtualenv location: /home/admin02/.local/share/virtualenvs/Agglomerator_mmlab-cv-QpvQ5qn7
Pipfile.lock not found, creating...
Locking [dev-packages] dependencies...
Building requirements...
Resolving dependencies...
✔ Success! 
Locking [packages] dependencies...
Building requirements...
Resolving dependencies...
✘ Locking Failed! 

CRITICAL:pipenv.patched.notpip._internal.resolution.resolvelib.factory:Could not find a version that satisfies the requirement torchvision==0.11.1+cu111 (from versions: 0.1.6, 0.1.7, 0.1.8, 0.1.9, 0.2.0, 0.2.1, 0.2.2, 0.2.2.post2, 0.2.2.post3, 0.5.0, 0.6.0, 0.6.1, 0.7.0, 0.8.0, 0.8.1, 0.8.2, 0.9.0, 0.9.1, 0.10.0, 0.10.1, 0.11.0, 0.11.1, 0.11.2, 0.11.3, 0.12.0)
[ResolutionFailure]:   File "/home/admin02/miniconda3/envs/Agglomerator_mmlab-cv/lib/python3.8/site-packages/pipenv/resolver.py", line 743, in _main
[ResolutionFailure]:       resolve_packages(pre, clear, verbose, system, write, requirements_dir, packages, dev)
[ResolutionFailure]:   File "/home/admin02/miniconda3/envs/Agglomerator_mmlab-cv/lib/python3.8/site-packages/pipenv/resolver.py", line 704, in resolve_packages
[ResolutionFailure]:       results, resolver = resolve(
[ResolutionFailure]:   File "/home/admin02/miniconda3/envs/Agglomerator_mmlab-cv/lib/python3.8/site-packages/pipenv/resolver.py", line 685, in resolve
[ResolutionFailure]:       return resolve_deps(
[ResolutionFailure]:   File "/home/admin02/miniconda3/envs/Agglomerator_mmlab-cv/lib/python3.8/site-packages/pipenv/utils.py", line 1377, in resolve_deps
[ResolutionFailure]:       results, hashes, markers_lookup, resolver, skipped = actually_resolve_deps(
[ResolutionFailure]:   File "/home/admin02/miniconda3/envs/Agglomerator_mmlab-cv/lib/python3.8/site-packages/pipenv/utils.py", line 1106, in actually_resolve_deps
[ResolutionFailure]:       resolver.resolve()
[ResolutionFailure]:   File "/home/admin02/miniconda3/envs/Agglomerator_mmlab-cv/lib/python3.8/site-packages/pipenv/utils.py", line 884, in resolve
[ResolutionFailure]:       raise ResolutionFailure(message=str(e))
[pipenv.exceptions.ResolutionFailure]: Warning: Your dependencies could not be resolved. You likely have a mismatch in your sub-dependencies.
  You can use $ pipenv install --skip-lock to bypass this mechanism, then run $ pipenv graph to inspect the situation.
  Hint: try $ pipenv lock --pre if it is a pre-release dependency.
ERROR: No matching distribution found for torchvision==0.11.1+cu111

I suggest you can just install requests directly using "pip insatll"，another tip i you can use "wandb disabled" before run the command main.py