Hey @<1603198163143888896:profile|LonelyKangaroo55> If you only use the summary writer, does it report properly to both TB and ClearML?

Hi @<1603198163143888896:profile|LonelyKangaroo55> , how are you currently reporting, do you have a code snippet? Are you using the community server or a self hosted one?

@<1523701070390366208:profile|CostlyOstrich36> self hosted and
class ClearmlLogger:

def __init__(self, task):

self.task = task
self.task_logger = task.get_logger()
self.task_logger.set_default_upload_destination(
' None ')
self.writer = SummaryWriter('runs')

def log_training(self, reconstruction_loss, learning_rate, iteration):
self.task.get_logger().report_scalar(
title='learning.rate',
series='learning.rate',
value=learning_rate,
iteration=iteration
)
self.writer.add_scalar('training learning.rate',
learning_rate,
iteration)

self.writer.add_scalar('training reconstruction_loss',
reconstruction_loss,
iteration)
self.writer.close()

self.task_logger.report_scalar(
title='training.reconstruction_loss',
series='training.reconstruction_loss',
value=reconstruction_loss,
iteration=iteration
)
I try different options and no reporting on the UI, but logger.task_logger.report_text works good with string. I think it can be lib version problem or some network.