OpenVINO optimized computation for HAWQ mixed precision algorithm #3762
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ljaljushkin
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Dec 1, 2025
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Changes
Achieved a small time reduction for HAWQ algorithm. Weight quantization error is now fully computed on OV side. I observe about 30% reduction in mixed precision assignment runtime on a Llama-3.1-8B model. There can be small numerical differences though compared to NumPy's linalg Frobenius norm implementation (up to
rtol=1e-4based on the experiments).Reason for changes
Improving UX.
Ticket
163229
Tests
Extended tests/openvino/optimized_functions/test_compression_functions.py
https://github.com/openvinotoolkit/nncf/actions/runs/19769177402