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Hello All. I'M Experimenting With Clearml And I'Ve Run Into A Strange Issue.
I Used
is there a limit to the search depth for this?
i’ve got a training script that imports local package files and those items import other local package files. ex:
train.py
from local_package.callbacks import Callbacks
local_package/callbacks.py
from local_package.analysis import Analysis
local_package/analysis.py
import pandas as pd
the original task only lists the following as installed packages:
clearml == 1.9.1rc0
pytorch_lightning == 1.8.6
torchvision == 0.14.1
i’m also using conda, but am using conda for package management, and the local package is installed via poetry.
name: training_env
channels:
- conda-forge
- clearml
- defaults
dependencies:
- python=3.10
- black
- pylint
- tqdm
- pyyaml
- click
- matplotlib
- pip
- poetry
- pytest
- scipy
- scikit-image
- scikit-learn
- clearml
- pip:
- sox
- torch
- torchvision
- torchaudio
- pytorch-lightning
- pandas
i can of course add dependencies to the task manually as shown above, but this feels like a bug? maybe?
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Answers
one year ago
one year ago