o \h"@sddlZddlZddlZddlmZddlZddlZddlmZddl m Z m Z ddl m Z eeZ            dd eeBejBdBd eeBdBd ed edededededededededBdeddfddZdS)N)Path)SymbolicShapeInference)extract_raw_data_from_modelhas_external_data)add_pre_process_metadataF input_modeloutput_model_pathskip_optimizationskip_onnx_shapeskip_symbolic_shape auto_mergeint_maxguess_output_rankverbosesave_as_external_dataall_tensors_to_one_fileexternal_data_locationexternal_data_size_thresholdreturnc  Ks|dur | dd}|dusJ|dusJdtjdd}t|}d}|sBtdt|tjr4|nt |}t |||||}|s|sbt |d}| rZtj ||d| | d d nt||d}t |d }zEt}||_tjj|_t|tjrt|rtd t|\}}|t|t||}n |r| r|d dtj||dgd}~Wntytdtt Ynw|}|s|durt |d}| rtj ||d| | d d nt||d}t|tjrt t|d}tj ||d| | d d t |d}tj!"||t |}Wdn 1swY|dur7t|tjr2|nt |}t#|| rLtj ||d| | | d ddSt||dS)aShape inference and model optimization, in preparation for quantization. Args: input_model: Path to the input model file or ModelProto output_model_path: Path to the output model file skip_optimization: Skip model optimization step if true. This may result in ONNX shape inference failure for some models. skip_onnx_shape: Skip ONNX shape inference. Symbolic shape inference is most effective with transformer based models. Skipping all shape inferences may reduce the effectiveness of quantization, as a tensor with unknown shape can not be quantized. skip_symbolic_shape: Skip symbolic shape inference. Symbolic shape inference is most effective with transformer based models. Skipping all shape inferences may reduce the effectiveness of quantization, as a tensor with unknown shape can not be quantized. auto_merge: For symbolic shape inference, automatically merge symbolic dims when conflict happens. int_max: For symbolic shape inference, specify the maximum value for integer to be treated as boundless for ops like slice guess_output_rank: Guess output rank to be the same as input 0 for unknown ops verbose: Logs detailed info of inference, 0: turn off, 1: warnings, 3: detailed save_as_external_data: Saving an ONNX model to external data all_tensors_to_one_file: Saving all the external data to one file external_data_location: The file location to save the external file external_data_size_threshold: The size threshold for external data Ninput_model_pathzoutput_model_path is required.z pre.quant.)prefixz&Performing symbolic shape inference...zsymbolic_shape_inferred.onnxTF)rrsize_thresholdconvert_attributezoptimized.onnxzModelProto has external data not loaded into memory, ORT cannot create session. Please load external data before calling this function. See https://onnx.ai/onnx/repo-docs/ExternalData.html for more information.z7session.optimized_model_external_initializers_file_namezoptimized.onnx.dataCPUExecutionProvider) providerszYONNX Runtime Model Optimization Failed! Consider rerun with option `--skip_optimization'.zmodel_input.onnxzonnx_shape_inferred.onnx)rrlocationrr)$poptempfileTemporaryDirectoryrloggerinfo isinstanceonnx ModelProtoloadr infer_shapesstr save_modelsave onnxruntimeSessionOptionsoptimized_model_filepathGraphOptimizationLevelORT_ENABLE_BASICgraph_optimization_levelr ValueErrorradd_external_initializerslistSerializeToStringadd_session_config_entryInferenceSession Exceptionerror traceback format_excshape_inferenceinfer_shapes_pathr)r r r r rrrrrrrrrdeprecated_kwargs quant_tmp_dir temp_pathmodel loaded_modelopt_model_path sess_optionexternal_namesexternal_valuessessinferred_model_pathrIk/home/air/segue/gemini/backup/venv/lib/python3.10/site-packages/onnxruntime/quantization/shape_inference.pyquant_pre_processs+                g  rK) NNFFFFrFrFFNr )loggingr r:pathlibrr%r,&onnxruntime.tools.symbolic_shape_inferr#onnxruntime.transformers.onnx_utilsrr quant_utilsr getLogger__name__r"r)r&boolintrKrIrIrIrJsh