[ThSSKJr "SS\R5r"SS\R5r"SS\R5rg) )nnc6^\rSrSrSrSU4SjjrSrSrU=r$) QuantStubaQuantize stub module, before calibration, this is same as an observer, it will be swapped as `nnq.Quantize` in `convert`. Args: qconfig: quantization configuration for the tensor, if qconfig is not provided, we will get qconfig from parent modules c>>[TU]5 U(aXlggNsuper__init__qconfigselfr __class__s S/var/www/auris/envauris/lib/python3.13/site-packages/torch/ao/quantization/stubs.pyr QuantStub.__init__  "L cU$rrxs rforwardQuantStub.forwardrr r __name__ __module__ __qualname____firstlineno____doc__r r__static_attributes__ __classcell__rs@rrr# rrc6^\rSrSrSrSU4SjjrSrSrU=r$) DeQuantStubaDequantize stub module, before calibration, this is same as identity, this will be swapped as `nnq.DeQuantize` in `convert`. Args: qconfig: quantization configuration for the tensor, if qconfig is not provided, we will get qconfig from parent modules c>>[TU]5 U(aXlggrr r s rr DeQuantStub.__init__!rrcU$rrrs rrDeQuantStub.forward&rrrrrr$s@rr'r'r%rr'cf^\rSrSr%Sr\\S'\\S'\R\S'U4Sjr Sr Sr U=r $) QuantWrapper*aA wrapper class that wraps the input module, adds QuantStub and DeQuantStub and surround the call to module with call to quant and dequant modules. This is used by the `quantization` utility functions to add the quant and dequant modules, before `convert` function `QuantStub` will just be observer, it observes the input tensor, after `convert`, `QuantStub` will be swapped to `nnq.Quantize` which does actual quantization. Similarly for `DeQuantStub`. quantdequantmodulec>[TU]5 [USS5nURS[ U55 URS[ U55 URSU5 UR UR5 g)Nr r0r1r2)r r getattr add_modulerr'traintraining)rr2r rs rr QuantWrapper.__init__9s` &)T2 7!34  ;w#78 &) 6??#rchURU5nURU5nURU5$r)r0r2r1)rXs rrQuantWrapper.forwardAs* JJqM KKN||Arr)rrrr r!r__annotations__r'rModuler rr"r#r$s@rr.r.*s/    II$rr.N)torchrr=rr'r.rrrr?s: $"))$299r