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14 × Eureka!also attempted: model = task.connect(model)
from clearml import Task
task = Task.init(project_name='ClearML test', task_name='test 10')
now that I know the logging is working, it must be something dumb I've overlooked in my code
this is in the code but still no logged model
torch.save(model.state_dict(), " http://test_cnn.pt ")
from clearml import OutputModel, Task
task = Task.init(project_name='ClearML test', task_name='test 1')
AgitatedDove14 other things are logging, I'm using task.connect to log hyperparameters logger to log the loss
"the same problem" is I posted above but I was using jupyter lab, I simplified hoping the problem was with jupyter
it's as simple as yours,-- class myCNN(nn.Module):
AgitatedDove14 quick question, do I need to alter the name of the dict file I save with torch.save for each run? Or is clearml able to version it out?