\jA'(ddlZddlZddlZddlmZddlZddlZddlmZm Z ddl m Z ddl m Z ddlmZmZej"eZ ddeezej*zdzd eezdzd ed ed ed edededededededzdeddfdZy)N)Path)extract_raw_data_from_modelhas_external_data)ReplaceUpsampleWithResize) ONNXModel)add_pre_process_metadata&save_and_reload_model_with_shape_infer 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 || jdd}|J|Jdtjd5}t|}t |t j r|nt j|}|jDcgc] }|jr|jdk(s|"}}t|dk(rb|dj}|d krNtt||jt jj!|d }t#|}|s1 dd lm}t*j-d |j/|||||}|s4|sDt1|dz }| rt j2||d| | dnt j4||d}t1|dz } t7j8}||_t6j<j>|_ t |t j rYtC|r tEdtG|\}}|jItK|tK||jM}n|r| r|jOddt7jP||dg}~|}|s|Dt1|dz }| rt j2||d| | dnt j4||d}t |t j r2t1t|dz }t j2||d| | dt1|dz }t jZj]||t j|}ddd1t |t j r|nt j|}t_|| rt j2||d| | | dyt j4||ycc}w#t($r}t)d |d}~wwxYw#tR$r@t*jUdt*jUtWjXYwxYw#1swYxYw)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.)prefixzai.onnxrr )SymbolicShapeInferencezsympy is required for symbolic shape inference in quantization preprocessing. Install with: 'pip install sympy' or pass skip_symbolic_shape=True to quant_pre_process().z&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 )0poptempfileTemporaryDirectoryr isinstanceonnx ModelProtoload opset_importdomainlenversionrrapplyversion_converterconvert_versionr &onnxruntime.tools.symbolic_shape_inferr ImportErrorloggerinfo 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 rrrrrrrrrrdeprecated_kwargs quant_tmp_dir temp_pathmodelopsetai_onnx_domain opset_versionreopt_model_path sess_optionexternal_namesexternal_valuessessinferred_model_paths [/root/.hermes/venv/lib/python3.12/site-packages/onnxruntime/quantization/shape_inference.pyquant_pre_processr[s"V'++,>E  "" "  (J*JJ (  $ $L 9v3]' )+tG TYYWbMc .3-?-?qEu||W\WcWcgpWp%qq ~ ! #*1-55M"))E*:MJPPR..>>ubI>uE" Y KK@ A*77! E!&!).L"LM (OO#.20G'C*/ IIe[1 -=!=>N 5)88: 7E 47B7Y7Y7j7j 4k4??;(5(i 7RR]6^3NO99$~:NPTUdPef"-"?"?"AK)-B88QSh#33KYoXpq)K  !).L"LM (OO#.20G'C*/ IIe[1+t7!$}"58J"JK *.,C#?&+ #&i2L&L"M   2 2;@S TII12Emv3p })+tG TYYWbMcU#   "&$;+7#  %*+Cr !q v 5 o Y1134  5[v3v3sqA Q O$O(A4QO#BQ%CO9CQQ O6% O11O66Q9AQ>QQQQ) NNFFFFiFrFFNi)loggingr%rHpathlibrr(r:#onnxruntime.transformers.onnx_utilsrrfusionsr onnx_modelr quant_utilsr r getLogger__name__r4r7r)boolintr[rZrhs ^.!Y   8 $8<+/#! %#"'$))-(,y,tdoo-4y,TzD(y,y, y,  y,  y,y,y,y, y,"y, $Jy,#&y, y,rg