g^(h%:ddlmZmZddlZddlmZddlmZddlm Z m Z m Z ddl m Z mZmZgdZGddej"j$j&ZGd d eej(ZGd d eej*ZGd deej,Zy))ClassVarUnionN) _FusedModule) _size_1_t _size_2_t _size_3_t)_pair_single_triple)Conv1dConv2dConv3dceZdZUeeej jje d< dde de de e dfde e dfde e e e dffd e e dfd ed e e dfd e d ede ddfdZdZeddZdZy)_ConvNd _FLOAT_MODULEN in_channels out_channels kernel_size.stridepaddingdilation transposedoutput_paddinggroupsbias padding_modereturnc| |d}tjjjj|||||||||| | | f i|| sJd| |_| j ||_y)N)devicedtypez'qconfig must be provided for QAT module)factory_kwargs)nnmodulesconvr__init__qconfigweightweight_fake_quant)selfrrrrrrrrrrrr&rr r!s Z/var/www/skyplay_api_hub/venv/lib/python3.12/site-packages/torch/ao/nn/qat/modules/conv.pyr%z_ConvNd.__init__s"%+U; ((              AAAw !(~!Ncn|j||j|j|jSN _conv_forwardr(r'rr)inputs r*forwardz_ConvNd.forward6*!!%)?)? )LdiiXXr+c Rt||jk(s.Jd|jzdz|jjzt|dsJd|jsJdt t|t r|d}|j}||j|j|j|j|j|j|j|jdu|j| }|j |_|j|_|S) zCreate a qat module from a float module Args: `mod`: a float module, either produced by torch.ao.quantization utilities or directly from user zqat.z.from_float only works for r&z,Input float module must have qconfig definedz,Input float module must have a valid qconfigrN)rrrrrrr&)typer__name__hasattrr& issubclassrrrrrrrrrrr')clsmoduse_precomputed_fake_quantr&qat_convs r* from_floatz_ConvNd.from_float9s CyC--- ll + ,(( ) - sI&V(VV&{{JJJ{ d3i .a&C++ OO    OO::KK\\::%))  ** r+c t|}|j|j|j|j|j |j |j|j|jdu|j }tjj|jj|_|j 99 **499+;+;+=>DI c< (fG3 45 55))+D NN4 %C%%w/E KK &LKr+)NNNF)r6 __module__ __qualname__rr5r"r#r$r__annotations__inttuplerstrboolr%r2 staticmethodr=rIr+r*rrsD!8!89::#O#O#O38_ #O c3h #O sE#s(O+, #OS/#O#Oc3h#O#O#O#O !#OJY  Dr+rceZdZUdZej Zeeej e d<ej Z eeej e d< dde de de de d e ee fd e d e d ed eddffd 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 rr@Nrrrrrrrrrrc t|} t|}t|tr|n t|}t|}t|||| |||dtd||| | | | yNFr) rrrrrrrrr&rr )r isinstancerPsuperr%r)rrrrrrrrrr&rr kernel_size_stride_padding_ dilation_ __class__s r*r%zConv1d.__init__w{+ &/(#67GGr{sy" .AA:: )kbjjoo%%k\8 Wbii8 v= Wbii= @= Wbii= r+