|YhddlmZmZddlZddlmZddlmZgdZGddejZ Gdd ejZ Gd d ejZ dS) )AnyOptionalN)nn)QConfig) QuantStub DeQuantStub QuantWrappercZeZdZdZddeeffd ZdejdejfdZ xZ S) raQuantize 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 Nqconfigc^t|r ||_dSdSNsuper__init__r selfr __class__s m/var/www/tools.fuzzalab.pt/emblema-extractor/venv/lib/python3.11/site-packages/torch/ao/quantization/stubs.pyrzQuantStub.__init__6   #"DLLL # #xreturnc|Sr rrs rforwardzQuantStub.forwardrr ) __name__ __module__ __qualname____doc__rrrtorchTensorr __classcell__rs@rrr s~## 1###### %,rrcZeZdZdZddeeffd ZdejdejfdZ xZ S) raDequantize 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 Nr c^t|r ||_dSdSr rrs rrzDeQuantStub.__init__&rrrrc|Sr rrs rrzDeQuantStub.forward+rrr ) rrr r!rrrr"r#rr$r%s@rrrs}## ###### %,rrceZdZUdZeed<eed<ejed<dejffd Z de j de j fdZ xZ S) r aA wrapper class that wraps the input module, adds QuantStub and DeQuantStub and surround the call to module with call to quant and dequant modules. This is used by the `quantization` utility functions to add the quant and dequant modules, before `convert` function `QuantStub` will just be observer, it observes the input tensor, after `convert`, `QuantStub` will be swapped to `nnq.Quantize` which does actual quantization. Similarly for `DeQuantStub`. quantdequantmodulecVtt|dd}|dt ||dt ||d|||jdS)Nr r*r+r,)rrgetattr add_modulerrtraintraining)rr,r rs rrzQuantWrapper.__init__?s &)T22 7!3!3444  ;w#7#7888 &))) 6?#####rXrc||}||}||Sr )r*r,r+)rr2s rrzQuantWrapper.forwardGs0 JJqMM KKNN||Ar)rrr r!r__annotations__rrModulerr"r#rr$r%s@rr r /s     I$ry$$$$$$%,rr ) typingrrr"rtorch.ao.quantizationr__all__r5rrr rrrr9s )))))) 7 6 6 $")$29r