Set bias as optional for convolution folding. Needed for CLIP #1581
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Outdated suggestions cannot be applied.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.
Before this PR conv nodes that didn't have bias were skipped for quantization folding. This PR corrects that. This is needed for the CLIP model.
Testing plan:
Exported quantized CLIP successfully and one existing ResNet50 quantized model (
zoo:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/pruned95_quant-none
)