%Vji6&ddlmZmZmZddlZddlmZddlmZddl m Z m Z m Z ddl mZmZmZgdZGddejjjZGd d eejZGd d eejZGd deejZdS))ClassVarLiteralUnionN) _FusedModule) _size_1_t _size_2_t _size_3_t)_pair_single_triple)Conv1dConv2dConv3dc eZdZUeeejjje d< dde de de e dfde e dfde e e e dffd e e dfd ed e e dfd e d ededddfdZdZeddZdZdS)_ConvNd _FLOAT_MODULEN in_channels out_channels kernel_size.stridepaddingdilation transposedoutput_paddinggroupsbias padding_modezerosreflect replicatecircularreturnc| |d}tjjjj|||||||||| | | f i|| s Jd| |_| ||_dS)N)devicedtypez'qconfig must be provided for QAT module)factory_kwargs)nnmodulesconvr__init__qconfigweightweight_fake_quant)selfrrrrrrrrrrrr,r%r&r's V/root/voice-cloning/.venv/lib/python3.11/site-packages/torch/ao/nn/qat/modules/conv.pyr+z_ConvNd.__init__s"%+U;; (                 AAAAAw !(~!N!Ncj||||j|jSN _conv_forwardr.r-rr/inputs r0forwardz_ConvNd.forward6,!!%)?)? )L)LdiXXXr1Fc t||jks"Jd|jzdz|jjzt|ds Jd|js Jdt t|t r|d}|j}||j|j|j |j |j |j |j |jdu|j| }|j|_|j|_|S) zCreate a qat module from a float module Args: `mod`: a float module, either produced by torch.ao.quantization utilities or directly from user zqat.z.from_float only works for r,z,Input float module must have qconfig definedz,Input float module must have a valid qconfigrN)rrrrrrr,)typer__name__hasattrr, issubclassrrrrrrrrrrr-)clsmoduse_precomputed_fake_quantr,qat_convs r0 from_floatz_ConvNd.from_float9sCyyC---- l + ,( ).-- sI&&VV(VVV&{JJJJJ{ d3ii . . a&C+3 O   O:K\:%)    * r1c t|}||j|j|j|j|j|j|j|j du|j }tj |j|_|j ;tj |j |_ t!|t"rd|g}t%|dsJ|}|||j|}||j|S|S)zThis works for both single qat conv, and the qat conv - relu modules to convert the qat module to a floating point module N_FLOAT_RELU_MODULE)r;_FLOAT_CONV_MODULErrrrrrrrrtorchr( Parameterr-detachr>rr=rEappendrtraintraining)r/r?r*r)relufuseds r0to_floatz_ConvNd.to_float\s.4jj%%       K L M K IT !     h((););)=)=>> 9 **49+;+;+=+=>>DI c< ( ( fG3 455 5 55))++D NN4 %C%w/E KK & & &LKr1)NNNF)r< __module__ __qualname__rr;r(r)r*r__annotations__inttuplerstrboolrr+r8 staticmethodrCrOr1r0rrsYD!89::::#O#O#O#O38_ #O c3h #O sE#s(O+, #OS/#O#Oc3h#O#O#OIJ#O !#O#O#O#OJYYY   \ Dr1rceZdZUdZejZeeeje d<ejZ eeeje d< dd e d e d e d e d e ee fde de dededddffd Zedfd ZxZS)r aZ A Conv1d module attached with FakeQuantize modules for weight, used for quantization aware training. We adopt the same interface as :class:`~torch.nn.Conv1d` Similar to :class:`~torch.nn.Conv2d`, with FakeQuantize modules initialized to default. Attributes: weight_fake_quant: fake quant module for weight rrFrTrNrrrrrrrrrrr#c &t|} t|}t|tr|nt|}t|}t||| |||dtd||| | | | dSNFr) rrrrrrrrr,r%r&)r isinstancerVsuperr+r/rrrrrrrrrr,r%r& kernel_size_stride_padding_ dilation_ __class__s r0r+zConv1d.__init__{++ &//(#66L77GGrsi++++++++++ ......AAAAAAAAAA:::::::::: ) ( (kkkkkbjo%kkk\9 9 9 9 9 Wbi9 9 9 x> > > > > Wbi> > > B> > > > > Wbi> > > > > r1