No, they're not in Tensorboard
Yep that makes sense
Logger.current_logger().report_scalar("test", test_metric, posttrain_metrics[test_metric], 0)
That seems like a great solution
This seems to work:
` from clearml import Logger
for test_metric in posttrain_metrics:
print(test_metric, posttrain_metrics[test_metric])
#report_scalar(title, series, value, iteration)
Logger.current_logger().report_scalar("test", test_metric, posttrain_metrics[test_metric], 0) `
By default the pl Trainer will output everything to TB, which we automatically store. But verify that TB is installed
AgitatedDove14 yes, I called init and tensorboard is installed. It successfully uploaded the metrics from trainer.train(), just not from the next cell where we do trainer.predict