+ "ݳj4.^RIHt^RIt!RR4tR#))AnyNcHa]tRt^ toRtV3RlRltV3RlRltRtVtR#)TwoStepQuantizerzBase class for QAT quantizers that follow a two-step prepare + convert flow. Subclasses should implement: - ``prepare``: insert fake quantization into the model for QAT training - ``convert``: convert the fake-quantized model to a quantized model c<V^8dQhRS[PPRS[RS[RS[PP/#modelargskwargsreturntorchnnModuler)format __classdict__s"l/home/luca/screen-checking/.venv/lib/python3.14/site-packages/torchao/quantization/qat/two_step_quantizer.py __annotate__TwoStepQuantizer.__annotate__=""XX__"-0"r.s ""r