+ 9iz^^RIt^RIt^RIt^RIt^RIt^RIt^RIHtHtH t H t H t H t H t ^RIHtHt^RIHt]P&!]4tRtRRltRRltRt.ROtR ^.R ^^.R ^^./t!R R 4tRRltRRltR#)N)AttributeProto GraphProto ModelProto NodeProto TensorProtohelper numpy_helper) infer_shapesinfer_shapes_path)versionc VUu.uF=p\\VPR44R,P^4^4NK? up#uupi)zl Convert numpy float16 to python int. :param np_list: numpy float16 list :return int_list: python int list H:NN)intbinviewzfill)np_list_s& ^/var/www/html/photoedit/myenv/lib/python3.14/site-packages/onnxruntime/transformers/float16.py_npfloat16_to_intrsA=D DGqCAFF3K $**2. 2G DD DsAA c RpV\P!V^84,P^,^8dV\P!V^84,P4pV\P!V^84,P 4pWB8d\ P RV RV 24WQ8:d\ P RV RV 24V\P!V^84,P^,^8dV\P!V^84,P4pV\P!V^84,P 4pWr)8:d\ P RV RV) 24Wa)8d\ P RV RV) 24\P!V!^W4W4p\P!V!V)V^4V)V4p\P!V!W \R44W 4p\P!V!\R4W)4V)V4p\P!V4#)a+ Convert float32 numpy array to float16 without changing sign or finiteness. Positive values less than min_positive_val are mapped to min_positive_val. Positive finite values greater than max_finite_val are mapped to max_finite_val. Similar for negative values. NaN, 0, inf, and -inf are unchanged. c8\P!W8W84#N)np logical_and)abcs&&&rbetween&convert_np_to_float16..between/s~~aeQU++zthe float32 number z will be truncated to infz-inf) rwhereshapemaxminloggerdebugfloatfloat16)np_arraymin_positive_valmax_finite_valr positive_max positive_min negative_max negative_mins&&& rconvert_np_to_float16r3's,A&'--a014A 67;;= A 67;;=  ) LL.|n@P[Hxx!1 18Q?BRART\]Hxx%,GbHxxf xIN?\deH ::h r"c:\V\4'g\R\V4 24hVP\P 8Xd\P VnVP'dS\\P!VP4W4p\V4pW@PR&.VPR&VP'dD\P!VPRR7p\WQV4pVP4Vn V#)aaConvert tensor float to float16. Args: tensor (TensorProto): the tensor to convert. min_positive_val (float, optional): minimal positive value. Defaults to 1e-7. max_finite_val (float, optional): maximal finite value. Defaults to 1e4. Raises: ValueError: input type is not TensorProto. Returns: TensorProto: the converted tensor. 3Expected input type is an ONNX TensorProto but got :NNNfloat32dtype) isinstancer ValueErrortype data_typeFLOATFLOAT16 float_datar3rarrayr int32_dataraw_data frombuffertobytes)tensorr-r. float16_dataint_list float32_list float16_lists&&& rconvert_tensor_float_to_float16rJIs fk * *NtTZ|n]^^ ;,,,&..    0&:K:K1LN^oL(6H#+  a #%F  a ???== JL0Q_`L*224FO Mr"c\P!V4Pp\P!VP VP V4#r)r to_arrayr%rmake_tensor_value_infonamer<)rEr%s& rmake_value_info_from_tensorrOns7  ! !& ) / /E  ( (f6F6F NNr"Resize GroupNorm SkipGroupNormcHa]tRt^toRtV3RlRltV3RlRltRtVtR#)InitializerTrackerz'Class for keeping track of initializer.c <V^8dQhRS[/#)r initializer)r)format __classdict__s"r __annotate__InitializerTracker.__annotate__sKr"c.Wn.Vn.VnR#r)rV fp32_nodes fp16_nodes)selfrVs&&r__init__InitializerTracker.__init__s&r"c <V^8dQhRS[/#)rnode)r)rWrXs"rrYrZs))Y)r"cV'dVPPV4R#VPPV4R#r)r\appendr])r^rbis_node_blockeds&&&radd_nodeInitializerTracker.add_nodes)  OO " "4 ( OO " "4 (r")r]r\rVN) __name__ __module__ __qualname____firstlineno____doc__r_rf__static_attributes____classdictcell__)rXs@rrTrTs1 ))r"rTc #VR8gQR4hV\\P!\P4P48:gQR4hVf/MTp \ V\ 4'dTp \P!\P4\P!R48d~V'gv\P!\PPV 4R7;_uu_4p V P p \#W4\P$!V 4pRpRRR4M\P$!V 4p\ V\&4'g\)R\+V4 24hRpV'gF\P!\P4\P!R 48d \,pVf\.pVf.p\1V4p\1V4p\2P5R V R V R V R V RV RV RV 24.p.p.p.pVe V!V4pVP7V4/p\14p\14pVP8P:Uu.uFDpVP*P<P>\@PB8XgK8VP NKF ppVP8PDUu.uFDpVP*P<P>\@PB8XgK8VP NKF pp\ V\F4'd6VUu.uFpVV9gK VNK ppVUu.uFpVV9gK VNK ppM V'g.p.p\IVP8P:4EFJwppVP V9gKR\ V4,pVVVP &VPKVP 4R\ V4,pVP8PLPK4pVPOV4VVn\@PPVP*P<n\RPT!RVP .V.\@PPVR7.pVP8PVPYV4VP7V4VPKV4EKM \IVP8PD4EF<wppVP V9gKR\ V4,pVVVP &VPKVP 4R\ V4,pVP8PLPK4pVPOV4VVn\@PPVP*P<n\RPT!RV.VP .^VR7.pVP8PVPYV4VP7V4VPKV4EK? /pV'Ed`.p VEFQp!\ V!\&4'dV P7V!P84\ V!\Z4'EdV!P\FOpVP^\@PB8XgK$VP V9gQh\aV4VVP &KQ V!PVEFNpVP V9dK\c\eVP:44FDpVP:V,V9gKVVP:V,,VP:V&KF \c\eVPD44FDpVPDV,V9gKVVPDV,,VPDV&KF VPfV9;'gVP V9p"\IVP:4F|wppVV9gKT";'gKV\hPkVPf.49;'d VV PkVPf.49p#VV,PmVV#4K~ V"'dVP7V4EKVPfR8Xd]VPnFLp$V$P R8XgKV$Pp\@PB8XgK7\@PPV$n8M VPfR 9dRp%VPnFNp$V$P R8XgKRp%V$Pp\@PB8XgK9\@PPV$n8KP VPfR!9dHV%'g@VPnPY\RPr!R\@PP4.4VPf\h9gVPfV 9d(VPnFp$V P7V$4K EK=VP7V4EKQ \ V!\t4'dV P7V!Pv4V!PxFpV P7V4K V!PzPO\}V!PzW44V!P~Fp\}VW4pK \ V!\Z4'gEK\P!V!P:V!PDV!PL4EFPpVP*P<P>\@PB8XdLVP V9d;\@PPVP*P<nVP7V4VP*PR4'gKVP*PP>P<P>\@PB8XgKVP V9gEK\@PPVP*PP>P<nVP7V4EKS EKT T pEKhVP4Fp&V'gV&P'gK\}V&P\W4V&n.VP7\V&P\44V&P'gKrV'dK|\2PRV&P 24K VEFp'\IV'P:4EFbwppV\hV'Pf,9g"VV PkV'Pf.49dKFVEFp(VV(P 8XgKVP8PLPK4pVPOV(4V'P R,\ V4,pVVn\@PBVP*P<nV'P R,\ V4,p\RPT!RV.V.^VR7.pVP8PVPYV4VV'P:V&EK` EKe EK V 'd\@PM\@PBp)VEFp'\c\eV'P:44EF%pV'P:V,pVEFp(VV(P 8XgKVP8PLPK4pVPOV(4V'P R,\ V4,pVVnV)VP*P<nV'P R,\ V4,p\RPT!RV.V.V)VR7.pVP8PVPYV4VV'P:V&EK# EK( \c\eV'PD44EF%pV'PDV,p*VEFp(V*V(P 8XgKVP8PLPK4pVPOV(4V'P R,\ V4,pVVnV)VP*P<nV'P R,\ V4,p\RPT!RV.V*.^ VR7.pVP8PVPYV4VV'PDV&EK# EK( EK V# +'giELm;i i;iuupiuupiuupiuupi)"aSConvert tensor float type in the input ONNX model to tensor float16. Args: model (ModelProto or str): The ONNX model or path of the model to convert. min_positive_val (float, optional): minimal positive value. Defaults to 5.96e-08. max_finite_val (float, optional): maximal finite value of float16. Defaults to 65504. keep_io_types (Union[bool, List[str]], optional): It could be boolean or a list of float32 input/output names. If True, model inputs/outputs should be left as float32. Defaults to False. disable_shape_infer (bool, optional): Skips running onnx shape/type inference. Useful if shape inference has been done. Defaults to False. op_block_list (List[str], optional): List of op types to leave as float32. Defaults to None, which will use `float16.DEFAULT_OP_BLOCK_LIST`. node_block_list (List[str], optional): List of node names to leave as float32. Defaults to None. force_fp16_initializers(bool): force converting all float initializers to float16. Default to false, which will convert only the one needed to avoid precision loss. force_fp16_inputs(Dict[str, List[int]]): Force the conversion of the inputs of some operators to float16, even if this script's preference it to keep them in float32. Raises: ValueError: input type is not ModelProto. Returns: ModelProto: converted model. "\o>zginvalid min_positive_val. smallest positive float16 value: subnormal 5.96e-08, and normalized 6.104e-05z4invalid max_finite_val. largest float16 value: 65504Nz1.8.0)dirTz$Expected an ONNX ModelProto but got z1.2.0z"fp16 parameters: min_positive_val=z max_finite_val=z keep_io_types=z disable_shape_infer=z op_block_list=z node_block_list=z force_fp16_initializers=graph_input_cast_graph_input_castCast)torNgraph_output_cast_graph_output_castruFr8 sequence_typezXinitializer is used by both fp32 and fp16 nodes. Consider add these nodes to block list: _input_cast_ _input_cast _output_cast_ _output_cast)EyeLike Multinomial RandomNormalRandomNormalLike RandomUniformRandomUniformLike SequenceEmpty Bernoulli)rrr)Jr*rfinfor+r&r9strr parseonnx __version__tempfileNamedTemporaryFileospathdirnamerNr loadrr:r;r DEFAULT_OP_BLOCK_LISTsetr(r)rdgraphinput tensor_type elem_typerr=outputlist enumerateadd value_infoCopyFromr>r make_noderbextendrrVr<rTrangelenop_typeALWAYS_FLOAT_INPUTSgetrf attributeimake_attributerggraphstrJtensors itertoolschainHasFieldrxvaluesr]rOr\infoBFLOAT16)+modelr-r. keep_io_typesdisable_shape_infer op_block_listnode_block_listforce_fp16_initializersforce_fp16_inputs#use_bfloat16_as_blocked_nodes_dtypeforce_fp16_inputs_dict model_pathtmpfileshape_infer_model_pathfunc_infer_shapequeuevalue_info_list node_listmixed_float_type_node_list name_mappinggraph_io_to_skipio_castsn fp32_inputs fp32_outputsr output_name node_namenew_value_infonew_node input_namefp32_initializers next_levelqreuse_fp32_weightattr has_dtypevaluerbr accuracy_typers+&&&&&&&&&& rconvert_float_to_float16rs H x 'q ' U288BJJ#7#;#;< <t>tt <#4#>N~N^^mn{m|}RSfRggvwDvEEVWfVgg@AX@Y Z EOI "$# ' LLLuuH#(;;#4#4j#4a8J8J8T8TXcXiXi8i6166#4Kj$)KK$6$6l$6q!&&:L:L:V:VZeZkZk:kFAFF$6Ll-&&"-D+Qm1Cqq+ D#/F 2 LL #-"%++,,-1 66\ !-A6J#-L   (+c!f4I"[[33779N  # #A &",N 8C8K8KN   + + 5((*xAT]^_H KK   # #H -  " "> 2 LL #."8: % A!Z((!!!''*!Z((A{{k&7&77 vv->>>>4Fq4I)!&&1' Avv) "3qww<0771:5)5aggaj)AAGGAJ1#3qxx=188A;,6*6qxx{*CAHHQK2'(ii=&@&]&]AFFoD]O)2177); :%)::.=// !%8%<% > J J T / 6 6q 9Jk@"))+ "e&6&6&6 ?@Q@QSc tE   " "#>u?P?P#Q R(?(? notoooAB ,+&tzz2MAz+DLL99QBXB\B\]a]i]ikmBn=n- 0%*[[%;%;%?%?%AN"++J7"&))n"??L xx 1 12  }}V__IF 677(XL 77266,L)AAB CCr")rp@)ArrayFeatureExtractor BinarizerCastMapCategoryMapperDictVectorizerFeatureVectorizerImputer LabelEncoderLinearClassifierLinearRegressor Normalizer OneHotEncoderr SVMClassifier SVMRegressorScalerTreeEnsembleClassifierTreeEnsembleRegressor TreeEnsembleZipMapNonMaxSuppressionTopKRoiAlignRangeCumSumMinMaxUpsample) rprFFNNFNF)rloggingrrnumpyrrrrrrrrr onnx.shape_inferencer r packagingr getLoggerrhr(rr3rJrOrrrTrrr"rrs  eee@   8 $E D"JO D !kAq6?QPQFS ) )yx Dr"