Fixes a couple of issues to add fp16 training support #488
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* Add half precision support to `nanodet_plus` head Moves the explicit `sigmoid` calculation inside the `dsl_assigner` so that `binary_cross_entropy_with_logits` can be used. This allows for the use of `auto_cast` to support training with `fp16` precision. If this is not done `torch` will complain that using `binary_cross_entropy` with `fp16` is unstable and as such refuses to train the model in `fp16` precision. * Add model precision settings to config Allows for setting the model precision during training using the config system. Co-authored-by: RangiLyu <[email protected]>
Codecov Report
@@ Coverage Diff @@
## main #488 +/- ##
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+ Coverage 74.65% 74.70% +0.04%
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Files 70 70
Lines 4600 4601 +1
Branches 716 716
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+ Hits 3434 3437 +3
+ Misses 975 974 -1
+ Partials 191 190 -1
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