feat: add quantize_mixed() for per-layer quantization#28
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…parameter 1. quantize_mixed() — per-layer quantization via torchao FqnToConfig 2. IntxWeightOnlyConfig — Conv2d + Linear INT4/INT8 (excludes depthwise) 3. Observer parameter — histogram/moving_average for better PTQ calibration
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Summary
quantize_mixed(model, layer_configs)function using torchao'sFqnToConfigquantize_()call{fqn: config_or_None}dict fromAnalysisResult.to_quant_config()Test plan
nbdev-test --path nbs/quantize/quantizer.ipynb— unit tests for mixed config, empty config, all-None, FQN mismatch warning