[BUG] Device inconstency in MQF2DistributionLoss
raising: RuntimeError: Expected all tensors to be on the same device
#1916
+222
−0
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Fixes #1182
In the current implementation, the
picnn
is initialized during class construction, and the device that it defaults to isn't being updated when the model is moved to another device.to()
to ensure thatpicnn
is moved along with the loss function.map_x_to_distribution
to ensure thatpicnn
is on the same device as the input tensor.Also added the tests mocking the accelerators on a high level to test the synchronization of devices within this class.