JTh ^SrSSKrSSKJr SSKJr SSKJrJ r "SS\5r SS\RRS \\ \S \\\ S \S \RR 4 S jjrS\RR4SjrS\RRS \\S \\4Sjrg)zKThis module contains utility method for mobile model optimization and lint.N)Enum)_MobileOptimizerType)OptionalAnyStrc$\rSrSrSrSrSrSrSrg)LintCode N) __name__ __module__ __qualname____firstlineno__ BUNDLED_INPUT REQUIRES_GRADDROPOUT BATCHNORM__static_attributes__rT/var/www/auris/envauris/lib/python3.13/site-packages/torch/utils/mobile_optimizer.pyrr sMMGIrr script_moduleoptimization_blocklistpreserved_methodsbackendreturnc^[T[RR5(d[ S[ T5S35eUc [ 5nUc/nUVs/sHn[U5PM nn[TU5n[U4SjU55(a[[ XV-55nUVs/sHn[TU5(aMUPM nnU(a[SSRU535eUR5nUS:Xa,[RR!TR"UU5nOnUS:Xa,[RR%TR"UU5nO# UHn[TU5v M g7f)N)hasattr).0methodrs r &optimize_for_mobile..1s R8Qf7=& ) )8QszAThe following methods to preserve do not exist in script_module: z, cpuvulkanmetalz:Unknown backend, must be one of 'CPU', 'Vulkan' or 'Metal') isinstancetorchjit ScriptModule TypeErrortypesetstr(_get_bundled_inputs_preserved_attributesalllistr#AttributeErrorjoinlower_C_jit_pass_optimize_for_mobile_c$_jit_pass_vulkan_optimize_for_mobile#_jit_pass_metal_optimize_for_mobile _recursivewrap_cpp_module) rrrrr%preserved_methods_strbundled_inputs_attributesnon_exist_methodsoptimized_cpp_modules ` roptimize_for_mobilerDs$ mUYY%;%; < <4 &''F GI I%!$  CT'TBSF BS'T HXm n R8Q RRR $S)>)Z%[ \.Cj.CF7S`bhKi.CjOPTPYPYZkPlOm np pmmoG%$xxEE    " ! # H $xxLL    " ! # G $xxKKML\L\^stTUU 99   / /0D EE7(U ksG0G Gc[U[RR5(d[ S[ U5S35e/n[ US5(d,UR[RRSS.5 UR5HHup#UR(dMUR[RRSUS3S.5 MJ [RRU5nUHqnSU;a0UR[RRS US 3S.5 S U;dMAUR[R RS US 3S.5 Ms U$) z Generate a list of lints for a given torch script module. Args: script_module: An instance of torch script module with type of ScriptModule. Returns: lint_map: A list of dictionary that contains modules lints r r!$_generate_bundled_inputs_for_forwardzNo bundled input for forward, please add bundled inputs before saving the module using torch.utils.bundled_inputs.augment_model_with_bundled_inputs.)namemessagezParam zw requires grad, please set torch.no_grad() to reduce memory usage and improve computation speed during inference phase.dropoutz Operator z exists, remember to call eval() before saving the module.and call torch.utils.mobile_optimizer.optimize_for_mobile to drop dropout operator. batch_normz exists, remember to call eval() before saving the module and call torch.utils.mobile_optimizer.optimize_for_mobile to drop batch_norm operator.)r+r,r-r.r/r0r#appendrrrGnamed_parameters requires_gradrexport_opnamesrr)r lint_listrGparamop_namesop_names rgenerate_mobile_module_lintsrSLss mUYY%;%; < <4 &''F GI II ="H I I("8"8"="=Kyz {%557        h&<&<&A&APVW[V\]1O12 38 yy'' 6H     h&6&6&;&;+4WI>***+ , 7 "   h&8&8&=&=+4WI>***+ , rcb/n[US5(a"URS5 URS5 [US5(ahURS5 UR5nUHAnXA;aURU5 URSU-5 URSU-5 MC U$)Nget_all_bundled_inputsget_num_bundled_inputs%get_bundled_inputs_functions_and_infoget_all_bundled_inputs_for__bundled_inputs_deflated_)r#rKrW)rrrAall_info function_names rr3r3us "}677!(()AB!(()AB}EFF!(()PQ FFH%M5)00? % , ,-J]-Z [ % , ,-H=-X Y & %$r)NNCPU)__doc__r,enumrtorch._CrMobileOptimizerTypetypingrrrr-r.r1r5r2RecursiveScriptModulerDrSr3rrrrcsQ @#tFJ48 :Fyy--:F (-@)A B:F$DL1:F :F"'!@!@ :Fz' 0F0F'R%EII