maybe another warning here? https://clear.ml/docs/latest/docs/references/sdk/task/
my code snippet
` from clearml import Task
clearml_task_id = os.environ['CLEARML_TASK_ID']
clearml_task = Task.init(auto_connect_arg_parser=False, auto_resource_monitoring=False)
clearml_task.logger.report_scalar(series='s', value='123', iteration=2, title='title')
clearml_task.logger.report_text("some text") `
yes, I don't know whether you have access to the backend, but just in case my experiment is this one:
ClearML results page: https://app.clear.ml/projects/45557a1ee1464631a9a18b0dcda4f682/experiments/01b77a220869442d80af42efce82c617/output/log
no, I set the env variable CLEARML_TASK_ID myself
Do not, this is the issue 🙂
this is used internally and messing up the internal state, basically this is one of the signals for the SDK to know there is an agent taking care of things (for example logging the entire console output)
Use any other variable, for example
report_text does not, this is very weird
Okay this seems to be the issue.
Just making sure the Task status is "running" and
task.get_logger().report_text("something") does not report a thing ?
Do you see it on your screen?
Can you test without the "Task.debug_simulate_remote_task / init" ?