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
thanks. Switching to SummaryWriter shouldn't be hard for us.
Hi PanickyMoth78 ,
What version of ClearML are you using?
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
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 🙂
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()
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)