+ G-j`^RIHt^RIt^RIt^RIt^RIHtHtRt] R8Xd ]!4R#R#)) annotationsN)get_optimization_leveloptimize_modelc \P!\PP \ 4 R\ P 2RR7pVPRR.RORR7VPR.RO\R R R R7VPR\PRR7VPR\PRR7VP4pVPR 8Xd^pM;VPR8Xd^pM'VPR 8Xd^pMVPR 8Xd^p\VPVP \#VP$4X4R#):a7 Optimize an ONNX model using ONNX Runtime to the specified level. See https://onnxruntime.ai/docs/performance/model-optimizations/graph-optimizations.html for more details of the optimization levels.) descriptionz --opt_levelbasiczOptimization level to use.)defaultchoiceshelpz --log_leveldebuginfowarningerrorFzLog level. Defaults to Error so we don't get output about unused initializers being removed. Warning or Info may be desirable in some scenarios.)r typerequiredr r input_modelz%Provide path to ONNX model to update.)rr output_modelz.Provide path to write optimized ONNX model to.N)disabler extendedlayoutall)r rrr)argparseArgumentParserospathbasename__file__optimize_model_helper__name__ add_argumentstrpathlibPath parse_args log_levelrrrr opt_level)parserargsr&s v/Volumes/fast/ai/experiments/nudenet-smoke/.venv/lib/python3.14/site-packages/onnxruntime/tools/optimize_onnx_model.pyrr s6  $ $ 77  H % &a(=(F(F'GHLF A )   5 M   GLL?fg W\\@pq    D ~~  7 " 6 ! 9 $ 4##T%6%68Nt~~8^`ij__main__) __future__rrrr#onnx_model_utilsrrrr r+r*r0s2# D'kT zr+