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ClearML does not find all necessary packages so I add manually my requirments.txt to the experiment:
clm.Task.add_requirements("requirements.txt")
Now, the listed env packages associated with the task are correct. But if I clone the task and enqueue it something strange happens. The docker environment is missing packages listed int the original pip:
original pip:
Yes, that is true. More precisely, the remote run stores the original pip packages too, that one is copied here. But the original pip is generated with a local task running.
Describe the bug
ClearML does not find all necessary packages so I add manually my requirments.txt to the experiment:
Now, the listed env packages associated with the task are correct. But if I clone the task and
enqueue
it something strange happens. The docker environment is missing packages listed int the original pip:original pip:
pip:
The task fails, because no torch and lightning installed... Interestingly, torchvision is installed, so I have no clue what could go wrong.
I have attached the complete log:
task_cab63ae315ba4a7690ea77248d1e9e48.log
Environment
Self-hosted
WebApp: 1.15.0-472 • Server: 1.15.0-472 • API: 2.29
Python Version 3.11
Linux Ubuntu 22
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