Ei)6z%SSKrSSKJr SSKJr SSKrSSKJs Jr SSK Js Js J r SSK Js Js J s Jr SSKJs Js J s Jr SSKJs Js J s Js Jr SSKJs Js Jr SSKJs Js Js Jr SSKJs Js Jr SSKJs Js Js Jr SSKJs Js Js Jr SSK!rSSK"Js J#r$ SSKJr SSK%J&r&J'r' SSK(J)r)J*r* SSK+J,r, SSK-J.r. /S Qr/\*\R`\)\Rb\Rd\ Rd\Rf\ Rf\Rh\ Rh\Rj\ Rj\Rl\ Rl\Rn\ Rn\Rp\ Rp\Rr\ Rr\Rt\ Rt\Rv\ Rv\Rx\ Rx\Rz\ Rz\R|\ R|0r?\@\\4\AS '0\*\R`_\)\Rb_\R\R_\R\R_\R\R_\Rf\Rf_\Rh\Rh_\Rj\Rj_\Rl\Rl_\Rn\Rn_\Rp\Rp_\R\R_\Rr\Rr_\Rt\Rt_\R\R_\R\R_\R\R_0\R\R_\R\R_\R\R_\R\R_\RRR\Rd_\Rd\Rd_\R\R_\R\R_\R\R_\ R\R_\ R\R_\ R\R_\ R\R_\ R\R_\ R\R_\ R\R_\ R\R_E\ R\R\ R\R\R\Rf\R\Rh\R\Rj\R\R\R\R\R\R\R\R\R\R\R\R\R\Rd\Rd\Rd\Rh\Rh\Rj\Rj0Ere\@\\4\AS '\Rh\Rh\Rj\Rj\Rd\Rd\RRR\Rd\ R\R\ R\R\ R\R\ R\R\ R\R\ R\R\ R\R\ R\R\ R\R\ R\R0rf\@\\4\AS '\Rv\Rv\Rd\Rd\Rd\Rd\RRR\Rd\R|\R|\R\R\Rx\Rx\Rz\Rz\ R\R\Rt\Rt\Rr\Rr0 rh\@\\4\AS '\R1rj\k\\AS'\$R\RR"R\$R\RR"R\$R\RR"R\$R\RR"R\$R\RR"R\$R\RR"R0rs\@\\t-\4\AS'\R\&\R\&\R\&\R\'0ry\@\\4\AS'\Rd\ RR"Rd0r{\@\\4\AS'\Rd\ RR"R(Rd0r|\@\\4\AS'S\k\4Sjr}S\@\\44Sjr~S\@\\44SjrS\@\\44SjrS\@\\44SjrS+S\S\@\\4S-S\S\4SjjrS,S\S\@\\4S-S\4SjjrS\@\\44SjrS\@\\44S jrS\@\\44S!jrS\@\\44S"jrS\k\4S#jrS\k\4S$jrS\@\\t-\44S%jrS&\\t-S\4S'jrS(\RGRS\S-4S)jrS(\RGRS\4S*jrg)-N)Callable)Any)nn)+default_fixed_qparams_range_0to1_fake_quant.default_fixed_qparams_range_neg1to1_fake_quant) DeQuantStub QuantStub)get_combined_dict)type_before_parametrizations).DEFAULT_REFERENCE_STATIC_QUANT_MODULE_MAPPINGS$DEFAULT_STATIC_QUANT_MODULE_MAPPINGSDEFAULT_QAT_MODULE_MAPPINGS%DEFAULT_DYNAMIC_QUANT_MODULE_MAPPINGS,DEFAULT_FLOAT_TO_QUANTIZED_OPERATOR_MAPPINGS"DEFAULT_MODULE_TO_ACT_POST_PROCESS+DEFAULT_STATIC_SPARSE_QUANT_MODULE_MAPPINGS,DEFAULT_DYNAMIC_SPARSE_QUANT_MODULE_MAPPINGSno_observer_set(get_default_static_quant_module_mappings2get_default_static_quant_reference_module_mappings*get_embedding_static_quant_module_mappings/get_default_static_sparse_quant_module_mappingsget_static_quant_module_classget_dynamic_quant_module_classget_default_qat_module_mappings!get_embedding_qat_module_mappings)get_default_dynamic_quant_module_mappings0get_default_dynamic_sparse_quant_module_mappings$get_default_qconfig_propagation_list&get_default_compare_output_module_list0get_default_float_to_quantized_operator_mappingsget_quantized_operatorr r rr_INCLUDE_QCONFIG_PROPAGATE_LISTrrrrreturncn[RR[RR1nU$)z8These modules cannot have observers inserted by default.)r quantizableLSTMMultiheadAttention) no_observerss h/home/mande/repo/quber/.venv/lib/python3.13/site-packages/torch/ao/quantization/quantization_mappings.pyrrs&NN'')J)JKL c6[R"[5$)z8Get module mapping for post training static quantization)copydeepcopyr r+r*rrs === >>r+c6[R"[5$)zBGet reference module mapping for post training static quantization)r-r.r r/r+r*rrs ==G HHr+c[R"[5n[RU[ R'[R U[ R 'U$)z7Get module mapping, including mapping for embedding QAT)r-r.r nnq EmbeddingBagnnqat Embeddingmappings r*rrs>mm@AG"%"2"2GE  "}}GEOO Nr+c6[R"[5$)z?Get module mapping for post training static sparse quantization)r-r.rr/r+r*rrs ==D EEr+float_module_classadditional_static_quant_mapping is_referencecUc0n[U(a[O[U5nURUS5nUc[ S[ U53S-5e[ R"U5$)z]n Get the statically quantized module class corresponding to the floating point module class NFloating point module class 5 does not have a corresponding quantized module class)r r r getAssertionErrorstrr-r.)r9r:r; all_mappingsstatic_quant_module_classs r*rrs}'.*,'$  7 1' L !- 0 01CT J (*3/A+B*C DE F   ==2 33r+ additional_dynamic_quant_mappingcUc0n[[U5nURUS5nUc[S[ U53S-5e[ R "U5$)z^n Get the dynamically quantized module class corresponding to the floating point module class Nr=r>)r rr?r@rAr-r.)r9rDrBdynamic_quant_module_classs r*rrsu(/+-($-/OL".!1!12Dd!K!)*3/A+B*C DE F   ==3 44r+c6[R"[5$)z:Get default module mapping for quantization aware training)r-r.rr/r+r*rrs ==4 55r+c[R"[5n[RU[ R'[R U[ R 'U$)zGet module mapping for quantization aware training This is includes default values in addition to enabling qat for embeddings. )r-r.rr4r3rr5r6s r*rr!s> mm78G$11GBOO!OOGBLL Nr+c[$)z9Get module mapping for post training dynamic quantization)rr/r+r*rr,s 00r+c[$)z@Get module mapping for post training dynamic sparse quantization)rr/r+r*rr1s 77r+c[[R55[[R55-[[R55-[ -n[ R"U5$)zWGet the default list of module types that we'll attach qconfig attribute to in prepare )setr keysrrr#r-r.)#QCONFIG_PROPAGATE_MODULE_CLASS_LISTs r*rr6se 0 5 5 78 )..0 1 2 388: ; < * *( ==< ==r+c[[R55[[R55-[[R55-[[R 55-[[R 55-[[R 55-[ -n[R"U5$)zKGet list of module class types that we will record output in numeric suite ) rLr valuesrrrMr#r-r.).NUMERIC_SUITE_COMPARE_MODEL_OUTPUT_MODULE_LISTs r*r r Cs 0 7 7 9: )002 3 4 3::< = > 2779 : ; )..0 1  2 388: ;  < *  *3 ==G HHr+c6[R"[5$N)r-r.rr/r+r*r!r!Ss ==E FFr+float_opcf[RU5nUc[S[U5S35eU$)z>Get the quantized operator corresponding to the float operatorz Operator z) does not have corresponding quantized op)rr?r@rA)rT quantized_ops r*r"r"Zs>?CCHMLH &O P   r+modulec>[R[U55$)zGet the special activation post process for `module`, this has higher priority than the activation post process in `qconfig` e.g. input: torch.nn.Sigmoid output: default_affine_fixed_qparam_fake_quant )rr?r rWs r*_get_special_act_post_processrZds . 1 12Nv2V WWr+cLUR=(a [U5[;$rS)trainingtyperrYs r*_has_special_act_post_processr^ns ?? QtF|/QQQr+)NFrS)r-collections.abcrtypingrtorch torch.ao.nnaorao_nntorch.ao.nn.intrinsic intrinsicnnitorch.ao.nn.intrinsic.qatqatnniqattorch.ao.nn.intrinsic.quantized quantizednniq'torch.ao.nn.intrinsic.quantized.dynamicdynamicnniqdtorch.ao.nn.qatr4torch.ao.nn.qat.dynamicnnqatdtorch.ao.nn.quantizedr2torch.ao.nn.quantized.dynamicnnqdtorch.ao.nn.quantized.reference referencennqrtorch.ao.nn.sparsetorch.nn.functional functionalF#torch.ao.quantization.fake_quantizerrtorch.ao.quantization.stubsrr torch.ao.quantization.utilsr torch.nn.utils.parametrizer __all__Quantize DeQuantizeLinearConv1dConv2dConv3dConvTranspose1dConvTranspose2dConvTranspose3dr5r3GRUCellLSTMCellRNNCellr'r dict__annotations__ BatchNorm2d BatchNorm3dDropoutELU GroupNorm HardswishInstanceNorm1dInstanceNorm2dInstanceNorm3d LayerNorm LeakyReLUmoduleslinearNonDynamicallyQuantizableLinearReLU6PReLUFloatFunctional QFunctionalBNReLU2dBNReLU3d ConvReLU1d ConvReLU2d ConvReLU3d ConvAdd2d ConvAddReLU2d LinearReLULinearLeakyReLU LinearTanhConvBn1dConvBn2dConvBn3d ConvBnReLU1d ConvBnReLU2d ConvBnReLU3d LinearBn1dr rGRUr Sequentialr#rLeluops hardswish instance_norm layer_norm leaky_reludropoutrrA HardsigmoidSigmoidSoftmaxTanhrsparserrrrrrrboolrrrrrrrr r!r"ModulerZr^r/r+r*rs  $ ##**..777((##,,..?9C 8s||IIt{{IIt{{IIt{{IIt{{,,,,,,LL$..OOT&&JJ KKJJ GGTYYG.Xs]0C&5= s||5=5=NNCOO5=NNCOO 5= JJ 5= IIszz 5=IIszz5=IIszz5=++5=++5=++5=FFCGG5=LL#--5=OOS%%5=LL#--5= LL#--!5="s))#5=$s))%5=&s))'5=(LL#--)5=*LL#--+5=,JJ55szz-5=.IIszz/5=0HHcii15=2HHcii35=675=:LL$--;5=<LL$--=5=>NNDOO?5=@NNDOOA5=BNNDOOC5=DMM4>>E5=Ft))G5=HNNDOOI5=J--NNDOO OOSZZ OOSZZ OOSZZ    t t t szz LL#** LL#** LL#**i5=$d8S=&95rIIu||IIu||IIu||JJ55u||LL&//LL&//LL&//f))f))f))NNF%%NNF%%NNF%%NNF%%4T(C-0(JJ IIt{{ MM4;;JJ55t{{GGTYYFFDHHKKJJ NNE$$OOS%%LL#-->%tHcM':0MM2XEE599   " "KK$$..OOUYY((66LL%))%%00LL%))%%00IIuyy""** P,d8c>83K.LNN?JJ;JJ;GG ; @"D8);$<IIu||%%,,D+T(C--@ IIu||%%--44E,d8S=.A S ?$x}2E? 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