I am trying to change a property of my Dataset. However the value is not updated when using workers. What do I need to do to allow dynamic update of variables when using workers to load data via DataLoader?
_variance = 1.0
def i(self, val):
type(self)._variance = val
From the training loop:
ImageDataset._variance = 0.5
Do you need to update your
Datasetduring an epoch or would it be sufficient to update it after each one?
In the latter case, have a look at this example.
I would like to update the parameters for each mini-batch, parameter update after each epoch doesn’t solve my issue.
Could this be implemented in the
__getitem__ using some logic or do you need to pass the new value from outside?
In the latter case, you could try to adapt this shared arrays approach.
Yes I need to update this from the training loop i.e. outside, the shared arrays approach looks good.