+ G-jH^^RIHt^RIHtHt^RIHt^RIHt^RI H t RRlt RR lt R #) ) NumpyHelper) ModelProto TensorProto)set_external_data) OnnxModel)OrtValuec$V^8dQhR\/#modelr)formats"t/Volumes/fast/ai/experiments/nudenet-smoke/.venv/lib/python3.14/site-packages/onnxruntime/transformers/onnx_utils.py __annotate__r s--z-c.p\V4pVP4FpVPFpVPpVP R4'gK(\ P !V4p\P!V4pVPWW34\VRR7WTnVPR4K K \VRR/#)ax Extract external data from model and return the external data as a list of tuples (name, value). Note this function does not handle external data that is not loaded into the model as raw data. Args: model (ModelProto): the model proto to extract external data from. Returns: (external_names, external_values): a tuple of two lists of external data names and values. raw_datazfoo.bin)locationstrictF) rgraphs initializernameHasFieldrto_arrayrortvalue_from_numpyappendr ClearFieldzip)r external_data onnx_modelgraphrr numpy_tensor ort_values& rextract_raw_data_from_modelr$ sM5!J""$ ,,K##D##J//*33K@ $88F $$d%67!+ B#' &&z2-%  ,e ,,rc$V^8dQhR\/#r r )rs"rrr)sZrc\V4pVP4FRpVPF?pVPR4'gKVP\ P 8XgK=R# KT R#)z Check if the model has external data. Args: model (ModelProto): the model proto to check for external data. Returns: bool: True if the model has external data, False otherwise. data_locationTF)rrrrr'rEXTERNAL)r r r!rs& rhas_external_datar))s^5!J""$ ,,K##O449R9RVaVjVj9j-% rN) fusion_utilsronnxrronnx.external_data_helperrr r onnxruntimerr$r)rrr/s  %(7 -8r