Strange, I'm not familiar with tensorboard_logger package. I see it's latest package on pypi is also 0.1.0 with latest supported python 3.5.
Scalers are usually reported and auto captured through SummaryWriter if I'm not mistaken. I found an example here:
https://github.com/allegroai/clearml/blob/master/examples/frameworks/pytorch/pytorch_tensorboard.py
Anyhow I'll take a look into it 🙂
Hi PanickyMoth78 ,
What version of ClearML are you using?
Yes it should
here is fastai example, just in case 🙂
https://github.com/allegroai/clearml/blob/master/examples/frameworks/fastai/fastai_with_tensorboard_example.py
Would you expect this fastai callback to work?
(Uses SummaryWriter):
https://github.com/fastai/fastai/blob/d7f4863f1ee3c0fa9f2d9feeb6a05f0625a53696/fastai/callback/tensorboard.py
It seems to have failed as well (but I'd need to check more carefully)
thanks. Switching to SummaryWriter shouldn't be hard for us.
here is the code in text if you feel like giving it a try:import tensorboard_logger as tb_logger from clearml import Task task = Task.init(project_name="great project", task_name="test_tb_logging") task_tb_logger = tb_logger.Logger(logdir='./tb/run1', flush_secs=2) for i in range(10): task_tb_logger.log_value("some_metric", 42, i) task.close()
PanickyMoth78 'tensorboard_logger' is an old deprecated package that meant to create TB events without TB, it was created before TB was a separate package. Long story short, it is not supported. That said if you just run the same code and replace tensorboard_logger with tensorboard, you should see all scalars in the UI
background:
ClearML logs TB events as they are created in real-time, TB_logger is not TB, it creates events and dumps them directly into a TB equivalent event file