shb-SSKJr SSKrSSKrSSKrSSKJrJr SSKrSSK J r \(a SSK r SSK Jr \R"\5rS S SjjrSrS S Sjjrg) ) annotationsN)IO TYPE_CHECKING) _type_utils)FileLikecSSKnUb3[RRURR 5O([RR UR5nUb=UR5UR:waURUR55nUR"5nXl UR5Ul URRUR5 URR UlUSUR%5R'5S.nUR)5H5upUR*R-5n Xl[1U 5U lM7 [4R6R9X25n [4R6R;U 5(a[4R<"U 5 [4R6R?U 5n [4R6R;U 5(d[4R@"U 5 [CU S5nUREURGSS9RI55 SSS5 U$!,(df  U$=f)aCreate a TensorProto with external data from a PyTorch tensor. The external data is saved to os.path.join(basepath, location). Args: tensor: Tensor to be saved. name: Name of the tensor (i.e., initializer name in ONNX graph). location: Relative location of the external data file (e.g., "/tmp/initializers/weight_0" when model is "/tmp/model_name.onnx"). basepath: Base path of the external data file (e.g., "/tmp/external_data" while model must be in "/tmp"). Reference for ONNX's external data format: How to load? https://github.com/onnx/onnx/blob/5dac81ac0707bdf88f56c35c0a5e8855d3534673/onnx/external_data_helper.py#L187 How to save? https://github.com/onnx/onnx/blob/5dac81ac0707bdf88f56c35c0a5e8855d3534673/onnx/external_data_helper.py#L43 How to set ONNX fields? https://github.com/onnx/onnx/blob/5dac81ac0707bdf88f56c35c0a5e8855d3534673/onnx/external_data_helper.py#L88 rN)locationoffsetlengthxbT)force)%onnxjit_type_utils JitScalarTypefrom_onnx_type tensor_type elem_type from_dtypedtypeto TensorProtoname onnx_type data_typedimsextendshapeEXTERNAL data_locationuntyped_storagenbytesitems external_dataaddkeystrvalueospathjoinexistsremovedirnamemakedirsopenwritenumpytobytes)tensorrr basepathdtype_overrider scalar_type tensor_protokey_value_pairskventryexternal_data_file_pathexternal_data_dir_path data_files y/Users/tiagomarins/Projetos/claudeai/copy_bank/venv/lib/python3.13/site-packages/torch/onnx/_internal/fx/serialization.py'_create_tensor_proto_with_external_datar@s6  % $$33  & & 0 0  ) ) 4 4V\\ B !k&7&7&9V\\&I;,,./##%L(224LV\\*!%!1!1!:!:L ((*113O  %%'**..0 !f ( !ggll8> ww~~-.. )* WW__-DE 77>>0 1 1 *+ %t ,   4 088:; -  - , s 9-I00 I?cSSKJn 0nU"USSS9nUR5H$nURU5R 5X$'M& SSS5 U$!,(df  U$=f)Nr) safe_openptcpu) frameworkdevice) safetensorsrBkeys get_tensorrD)safetensors_filerBtensorsfr9s r?$_convert_safetensors_to_torch_formatrMisa&G #tE BaAa,,.GJ C N C B Ns 9A A#c rSSKn0n[URR5VV s0sHupU RU_M n nn URR V s1sHoRiM n n UGHn [ U [5(aU nOr[ U [[R45(a6[R"U 5RS5(a [U 5nO[R"U SSS9nUR55GH-unnU(aUR7S S 5nUU ;aU R9U5 OJU HDnURU5(dURU5(dM1UnU R9U5 O [R:R=UU5nURR V s0sHoRU R>_M nn UU ;aUXzU'[AUUUUURCUS55nURRREU5 GM0 GM [[GUR55SS 95nURI5HnURRU M URJ"U[R:R=X55 gs sn nfs sn f![ ["4anS[U5;dO[ U [$R&[(45(aU R+5(a{U R-5(af[.R1S5 [ U [$R&[(45(aU R3S5 [R"U SS 9nSnAGNUeSnAff=fs sn f) aLoad PyTorch tensors from files and add to "onnx_model" as external initializers. Output files: ONNX model file path: ONNX initializer folder: os.path.join(basepath, initializer_location) After running this function, you can do ort_sess = onnxruntime.InferenceSession(os.path.join(basepath, model_location)) to execute the model. Arguments: basepath: Base path of the ONNX external data file (e.g., "/path/to/large_model/"). model_location: Relative location of the ONNX model file. E.g., "model.onnx" so that the model file is saved to "/model.onnx". initializer_location: Relative location of the ONNX initializer folder. E.g., "initializers" so that the initializers are saved to "/initializers/". Note: When initializers are >2GB, must be the same as `model_location`. torch_state_dicts: Dictionaries or files which contain PyTorch tensors to be saved as ONNX initializers. For non-dict arguments, `torch.load` will be used to load them from file-like objects. onnx_model: ONNX model to be saved with external initializers. If an input name matches a tensor loaded from "torch_state_dicts", the tensor will be saved as that input's external initializer. rename_initializer: Replaces "." by "_" for all ONNX initializer names. Not needed by the official torch.onnx.dynamo_export. This is a hack for supporting `FXSymbolicTracer` tracer with fake tensor mode. In short, `FXSymbolicTracer` lifts FX parameters (self.linear_weight) as inputs (`def forward(self, linear_weight)`) and therefore, `.` cannot be used. rNz .safetensorsrDT) map_locationmmapz+mmap can only be used with files saved withzFailed to load the checkpoint with memory-map enabled, retrying without memory-map.Consider updating the checkpoint with mmap by using torch.save() on PyTorch version >= 1.6.)rO._)reverse)&r enumerategraph initializerrinput isinstancedictr&r(PathLikefspathendswithrMtorchload RuntimeError ValueErrorioIOBaserreadableseekablelogwarningseekr"replacer,r)r*typer@popappendsortedrHsave)r4model_locationinitializer_locationtorch_state_dicts onnx_modelrename_initializerrinitializers_to_be_deletedidxr9existing_initializersrWonnx_input_namesel state_dicterr3onnx_input_namerelative_tensor_file_pathmodel_input_typesr7s r?save_model_with_external_datar}vs!N!#"+J,<,<,H,H"I"I "I1;0@0@0F0FG0Fu 0FG b$  J"sBKK011biim6L6L77B"E  "'BU!NJ"',,.LD&! ||C-'' ''-'7O&//559W9W /(//@ (8)+ 5I4(P %:D9I9I9O9O P9OA9O  P,,JN*+FGB)!%%dD1 L    ( ( / / =]/? ^"&)//14@"*..0    ( ( -1 IIj"'',,x@AuH %j1 DAN"2 277KKMMKKMM z&b299b/::GGAJ%*ZZ%G  b!Qs0K K.K N4N1&B>N,*N,,N1)N) r3z torch.Tensorrr&r r&r4r&r5zonnx.TypeProto | Nonereturnzonnx.TensorProto)F)r4r&rnr&ror&rpztuple[dict | FileLike, ...]rqzonnx.ModelProtorrboolr~None) __future__rraloggingr(typingrrr] torch.onnxrrr torch.typesr getLogger__name__rer@rMr}r?rs"  $ 4$ !-1 Q Q QQ Q * Q  Qh & % DBDBDBDB3 DB  DB  DB DBr