dbogunowicz
dbogunowicz
Hey @aimen123. Could you provide more details to help us identify the problem? Which model are you referring to? Could you give us the name or a link? Is it...
It would really help us if you could adhere to the bug reporting standards described here: https://github.com/neuralmagic/sparseml/blob/main/CONTRIBUTING.md ``` For bugs, include: brief summary OS/Environment details steps to reproduce (s.t.r.) code...
Hey @hawrot Regarding model size: Yes, this is true, the model size will not drop significantly due to unstructured pruning (for both pth and onnx representations I believe). However, it...
@OSMasterSoohwan what do you mean when you say big effect? Inference speedup right?
@OSMasterSoohwan -> @hawrot makes a very good point. The command you brought up: ``` python train.py --cfg ../models_v5.0/yolov5s.yaml --weights PATH_TO_COCO_PRETRAINED_WEIGHTS --data coco.yaml --hyp data/hyps/hyp.scratch.yaml --recipe ../recipes/yolov5s.pruned.md ``` would lunch a...
@tsangz189 I am not aware of any support from our side. I would say we should probably ask the Qualcomm team, whether their accelerator: - supports converting from onnx to...
Closing due to inactivity.
Hey @meeki007. Thank you for your active support! I am working on the issue, the solution is coming soon.
Hey @meeki007. The new release `0.13` (to be released very soon) should fix the problem. The new version of sparseml shall accept whichever `onnxruntime` you have previously installed in your...
I am closing this issue.