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13 × Eureka!Yeah, I call Task.init(project_name = "XXX", task_name = "XXX") and that works fine for creating runs, it's just an issue of being able to run cloned runs
Python 3.10.4, Windows 10 Education version 21H2, OS Build 19044.2006, clearml 1.7.1
Not that I know of, and nothing would have changed since yesterday but I'm asking the person who set up the computer if he's got any ideas. Maybe the best option is just fully uninstall everything and start again? this makes me feel a little better that I'm not just doing something really stupid!
This is what I've got, I don't think it's an order issue. Thanks for taking the time to help with such a low level thing -- really appreciate it.
Actually, there is one other warning: clearml.Task - WARNING - Failed auto-detecting task repository: [WinError 123] The filename, directory name, or volume label syntax is incorrect: 'C:\\Users\\me\\<stdin>'
Yep, that's exactly how it's written in my code
No -- that section is blank, e.g. the image below. As of yesterday it was populated with all dependencies
AgitatedDove14 Sort of -- I've been running my script from VSCode for the first time, then cloning the run and tweaking hyperparameters in the ClearML UI. The initial run (from VSCode) runs fine, but on the cloned run, I get a ModuleNotFoundError: no module named 'clearml.' The only package that it auto-recognizes is Cython, so the agent fails when building the new venv to run the cloned experiment.
No it's just a .py file running through the interactive window. I get the same result in the console
Am I correct that you can only specify a requirements.txt file when calling Task.init from the CLI, not within code as I'm doing?
Just tried -- when written in the format from clearml import Task
Task.add_requirements("tensorflow")
task = Task.init(...)
I get " WARNING - Requirement ignored, Task.add_requirements() must be called before Task.init()"