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### Description <!-- Describe your changes. --> Update usability checker and related infrastructure to support checking models > 2GB. - Add ability to set flag to keep initializers as external data - we optimize the model as part of the checking so need to write out a new copy. - Handle issue with ONNX shape inferencing silently failing - use API that supports large models but requires writing the model to a new file - automate cleanup of that copy of the model ### Motivation and Context <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> Allow analysis of LLMs to determine gaps for mobile usage. --------- Co-authored-by: Edward Chen <18449977+edgchen1@users.noreply.github.com> |
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| .. | ||
| android | ||
| mobile_helpers | ||
| ort_format_model | ||
| qdq_helpers | ||
| test | ||
| __init__.py | ||
| __init__append.py | ||
| add_openvino_win_libs.py | ||
| check_onnx_model_mobile_usability.py | ||
| convert_onnx_models_to_ort.py | ||
| file_utils.py | ||
| get_azcopy.py | ||
| logger.py | ||
| make_dynamic_shape_fixed.py | ||
| onnx_model_utils.py | ||
| optimize_onnx_model.py | ||
| platform_helpers.py | ||
| pytorch_export_helpers.py | ||
| reduced_build_config_parser.py | ||
| run.py | ||
| update_onnx_opset.py | ||