Sorry, I'm asking too much questions today. I gave myself a whole day to fully evaluate ClearML...that's why. Here goes.
Regarding Automatic Logging (Automagikal), i took your example ( https://github.com/allegroai/clearml/blob/master/examples/frameworks/pytorch/pytorch_mnist.py ) and removed all the Logger.current_logger().report_scalar(**) lines in an attempt to see if it works with just task = Task.init(project_name='examples', task_name='pytorch mnist train') . While I do see CPU and GPU utilization, memory, video memory, and network usage (After the run is completed), i don't see anything on the scalars (E.g. loss, acc curves). Is this expected?
Thanks. Have a better understanding now.
Hi SubstantialElk6 ,
Please feel free to ask anything 🙂
If nothing is reported, then nothing will be displayed.
For example, if you are reporting to Tensorboard, it will be automatically sent to the UI - https://github.com/allegroai/clearml/blob/master/examples/frameworks/pytorch/pytorch_tensorboard.py (run this example and view the scalers section 🙂 )
