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Update ORT format model conversion utility to optionally fail fast on model conversion failure. (#8589)
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1 changed files with 7 additions and 2 deletions
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@ -54,7 +54,7 @@ def _create_session_options(optimization_level: ort.GraphOptimizationLevel,
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def _convert(model_path_or_dir: pathlib.Path, optimization_level_str: str, use_nnapi: bool, use_coreml: bool,
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custom_op_library: pathlib.Path, create_optimized_onnx_model: bool):
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custom_op_library: pathlib.Path, create_optimized_onnx_model: bool, allow_conversion_failures: bool):
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optimization_level = _get_optimization_level(optimization_level_str)
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@ -124,6 +124,8 @@ def _convert(model_path_or_dir: pathlib.Path, optimization_level_str: str, use_n
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# onnx_target_path, ort_target_path, orig_size, new_size, new_size - orig_size, new_size / orig_size))
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except Exception as e:
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print("Error converting {}: {}".format(model, e))
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if not allow_conversion_failures:
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raise
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num_failures += 1
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print("Converted {} models. {} failures.".format(len(models), num_failures))
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@ -192,6 +194,9 @@ def parse_args():
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help='Save the optimized version of each ONNX model. '
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'This will have the same optimizations applied as the ORT format model.')
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parser.add_argument('--allow_conversion_failures', action='store_true',
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help='Whether to proceed after encountering model conversion failures.')
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parser.add_argument('model_path_or_dir', type=pathlib.Path,
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help='Provide path to ONNX model or directory containing ONNX model/s to convert. '
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'All files with a .onnx extension, including in subdirectories, will be processed.')
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@ -222,7 +227,7 @@ def convert_onnx_models_to_ort():
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raise ValueError('The CoreML Execution Provider was not included in this build of ONNX Runtime.')
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_convert(model_path_or_dir, args.optimization_level, args.use_nnapi, args.use_coreml, custom_op_library,
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args.save_optimized_onnx_model)
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args.save_optimized_onnx_model, args.allow_conversion_failures)
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_create_config_file_from_ort_models(model_path_or_dir, args.optimization_level, args.enable_type_reduction)
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