Mark Kurtz

Hi @aimen123, the PyTorch weight files and ONNX export files will remain the same size for pruning only. This is because the pruning is done in an unstructured way meaning...

Hi @OriAlpha, thanks for opening this, and we're looking into it. Putting what we talked over in Slack here for recording: One note is that if you installed more than...

Hi @meeki007, thanks for bringing this issue up. We'll dive in and get a solution up soon. In the meantime, let us know if you have any issues with editing...

@kevinaer code looks good, can you go through and validate that tests are running through for you locally?

Hi @pacospace, thank you for raising this to our attention. We'll work on the migration of the ONNX export flows for Keras since that is now deprecated along with the...

Hi @kuonumber, the final checkpoint should definitely not be growing in size for a pruned model. I do want to note, though, that the sparse quantized recipes will grow in...

@kuonumber no, the pruned model can be trained on GPU or CPU. I believe there was an auto-correct issue with the command I sent over where it forced capitalization of...

Hi @kuonumber, we've landed an upgrade of the yolov5 pathways with the 0.12 release and are not seeing any issues on the model sizes with it. Could you try and...

Hey @eldarkurtic, thanks for the suggestion. I'd be worried about supplying args for anything related to the automated syntax correction. By leaving args out, we can ideally guarantee that what...

Hi @jz-exwzd, we do optimize for performance for known architectures. We have not had a chance to support the group convolutions in ResNext and SEResNext yet, unfortunately, so any models...