Fix onnx model export not always working properly in half precision #119
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Outdated suggestions cannot be applied.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.
Summary
Right now when we export models in half precision using onnx as inference engine there are certain cases where the export doesn't work properly and the produced model only outputs nan values.
This pr introduce the usage of auto_convert_mixed_precision to retry exporting half precision models in mixed precision if the initial export failed
I've manually tested that finetuning, anomaly and segmentation are working properly after the changes, most of the models doesn't suffer form this issue.
Type of Change
Checklist
Please confirm that the following tasks have been completed: