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* script for converting ONNX model for BERT performance optimization * Remove code that not needed anymore. * refine the script * Support BERT model exported from PyTorch 1.3 Keep opset version Exact match in Attention, Layer normalziation fusions. * read batch_size from input model directly |
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| .. | ||
| backend | ||
| datasets | ||
| tools | ||
| __init__.py | ||
| _ld_preload.py | ||
| _pybind_state.py | ||
| exported_symbols.lst | ||
| onnxruntime_pybind_exceptions.h | ||
| onnxruntime_pybind_mlvalue.cc | ||
| onnxruntime_pybind_mlvalue.h | ||
| onnxruntime_pybind_state.cc | ||
| onnxruntime_validation.py | ||
| pybind.def | ||
| session.py | ||
| version_script.lds | ||