Dependency mismatch between guild.ai and tensorflow

Troubleshooting
1

I currently have tensorflow installed, When I try to install guild.ai There is a dependency version conflict and pipenv is not able to resolve it. The version conflicting dependency is tensorboard.

sarat@sarat-pc:~/Codes/guild_start $ pipenv install guildai
Installing guildai...
Adding guildai to Pipfile's [packages]...
✔ Installation Succeeded 
Pipfile.lock (66d06e) out of date, updating to (085a73)...
Locking [dev-packages] dependencies...
Locking [packages] dependencies...
Building requirements...
Resolving dependencies...
✘ Locking Failed! 
[ResolutionFailure]:   File "/home/sarat/.local/lib/python3.8/site-packages/pipenv/resolver.py", line 741, in _main
[ResolutionFailure]:       resolve_packages(pre, clear, verbose, system, write, requirements_dir, packages, dev)
[ResolutionFailure]:   File "/home/sarat/.local/lib/python3.8/site-packages/pipenv/resolver.py", line 702, in resolve_packages
[ResolutionFailure]:       results, resolver = resolve(
[ResolutionFailure]:   File "/home/sarat/.local/lib/python3.8/site-packages/pipenv/resolver.py", line 684, in resolve
[ResolutionFailure]:       return resolve_deps(
[ResolutionFailure]:   File "/home/sarat/.local/lib/python3.8/site-packages/pipenv/utils.py", line 1395, in resolve_deps
[ResolutionFailure]:       results, hashes, markers_lookup, resolver, skipped = actually_resolve_deps(
[ResolutionFailure]:   File "/home/sarat/.local/lib/python3.8/site-packages/pipenv/utils.py", line 1108, in actually_resolve_deps
[ResolutionFailure]:       resolver.resolve()
[ResolutionFailure]:   File "/home/sarat/.local/lib/python3.8/site-packages/pipenv/utils.py", line 833, 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.
  First try clearing your dependency cache with $ pipenv lock --clear, then try the original command again.
 Alternatively, 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: Could not find a version that matches tensorboard<2.3.0,>=2.0.0,~=2.4 (from tensorflow==2.4.0->-r /tmp/pipenvjhzpx270requirements/pipenv-2yv9nm20-constraints.txt (line 2))
Tried: 1.6.0, 1.7.0, 1.8.0, 1.9.0, 1.10.0, 1.11.0, 1.12.0, 1.12.1, 1.12.2, 1.13.0, 1.13.1, 1.14.0, 1.15.0, 2.0.0, 2.0.1, 2.0.2, 2.1.0, 2.1.1, 2.2.0, 2.2.1, 2.2.2, 2.3.0, 2.4.0
Skipped pre-versions: 1.6.0rc0
There are incompatible versions in the resolved dependencies:
  tensorboard<2.3.0,>=2.0.0 (from guildai==0.7.1.post1->-r /tmp/pipenvjhzpx270requirements/pipenv-2yv9nm20-constraints.txt (line 3))
  tensorboard~=2.4 (from tensorflow==2.4.0->-r /tmp/pipenvjhzpx270requirements/pipenv-2yv9nm20-constraints.txt (line 2))

So pipenv is not able to find compatible tensorflow and guild.ai versions.

What version of tensorflow does guild.ai support?

2

Guild does support TB 2.4 but that’s available in 0.7.2. Good news is that will be released within a week. If you want you can use a pre-release version. Install it using:

pip install --upgrade --pre guildai

If that still gives you trouble please let us know and we’ll get it resolved ASAP. The latest TensorBoard is intended to be fully supported.

3

I have installed the pre-release version of guild-0.7.2 and there is no tensorboard version conflict.

pipenv install guildai==0.7.2rc1

Thanks for quick response.

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