Comments (5)
The nightlies are running without known regressions. Thank you, @Om-Doiphode, for the great work!
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Thank you for looking into this issue! Please let us know if you have any questions or require any help.
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#2412
Please review this Pull Request, thanks!
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The PR has passed the precommit and installation checks and has been merged. Will review the nightly job runs and close this tomorrow if the situation is satisfactory for development purposes.
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Related Issues (20)
- Compressed models that call torch.is_floating_point() during inference are traced with runtime error.
- nncf + ultralytics yolov8 training-time compression HOT 7
- Ultralytics yolov8 QAT example HOT 1
- [Good First Issue] [NNCF] Make NNCF common utils code pass mypy checks HOT 23
- [Good First Issue] [NNCF] Make NNCF common accuracy aware training code pass mypy checks HOT 17
- [Good First Issue] [NNCF] Make NNCF common tensor statistics code pass mypy checks HOT 10
- [Good First Issue] [NNCF] Make NNCF common pruning code pass mypy checks HOT 14
- [Good First Issue] [NNCF] Make NNCF common graph code pass mypy checks HOT 26
- [Good First Issue] [NNCF] Make NNCF common sparsity code pass mypy checks HOT 6
- Thanks to our Contributors HOT 1
- [Good First Issue][NNCF]: Add INT8 weight compression conformance test for Tinyllama-1.1b PyTorch model HOT 19
- [Good First Issue][NNCF]: Fixing NNCFGraph export for visualization in Netron HOT 6
- Why doesn't the size and precision of the model change after INT4 quantization? HOT 2
- [Good First Issue][NNCF]: Optimize memory footprint by removing redundant collected statistics HOT 8
- [Good First Issue][NNCF]: Dump actual_subset_size to ov.Model HOT 8
- [Good First Issue][NNCF]: dump the ignored scope more gracefully HOT 4
- [Good First Issue][NNCF]: check number of u8, u4 constants in weight compression tests HOT 10
- PTQ of Fast R-CNN crashes in PyTorch backend HOT 1
- [Good First Issue][NNCF]: fix invalid error reporting in JSON schema HOT 19
- [Good First Issue][NNCF]: Add tests for torch device utils HOT 5
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