Comments (2)
@adamantboy please post exact command lines you used to launch the NNCF sample and the NNCF config file.
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@adamantboy please post exact command lines you used to launch the NNCF sample and the NNCF config file.
I solved this problem.
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Related Issues (20)
- [BUG] Returning the input to an Upsample layer crashes `nncf.quantize` HOT 2
- 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 9
- [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] Cover NNCF code with least coverage percentage with unit tests to at least 80% HOT 25
- [Good First Issue] [NNCF] Make NNCF common sparsity code pass mypy checks HOT 6
- [Good First Issue] [NNCF] Introduce NNCF-specific exception classes across NNCF code base for expected/avoidable error cases instead of standard `RuntimeError` HOT 5
- 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
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