microsoft/onnxruntime-extensions
Publicmirrored fromhttps://github.com/microsoft/onnxruntime-extensionsAvailable
onnxruntime_extensions/pnp/_unifier.py
45lines · modecode
| 1 | import onnx |
| 2 | |
| 3 | from .._ortapi2 import get_opset_version_from_ort |
| 4 | from ._utils import ONNXModelUtils |
| 5 | from ._base import is_processing_module |
| 6 | from ._torchext import get_id_models, SequentialProcessingModule |
| 7 | |
| 8 | |
| 9 | def export(m, *args, |
| 10 | opset_version=0, |
| 11 | output_path=None, |
| 12 | export_params=True, |
| 13 | verbose=False, |
| 14 | input_names=None, |
| 15 | output_names=None, |
| 16 | operator_export_type=None, |
| 17 | do_constant_folding=True, |
| 18 | dynamic_axes=None, |
| 19 | keep_initializers_as_inputs=None, |
| 20 | custom_opsets=None, |
| 21 | io_mapping=None): |
| 22 | """ |
| 23 | export all models and modules into a merged ONNX model. |
| 24 | """ |
| 25 | if opset_version == 0: |
| 26 | opset_version = get_opset_version_from_ort() |
| 27 | |
| 28 | if not is_processing_module(m): |
| 29 | m = SequentialProcessingModule(m) |
| 30 | |
| 31 | model = m.export(*args, opset_version=opset_version, |
| 32 | output_path=output_path, |
| 33 | export_params=export_params, |
| 34 | verbose=verbose, |
| 35 | input_names=input_names, |
| 36 | output_names=output_names, |
| 37 | operator_export_type=operator_export_type, |
| 38 | do_constant_folding=do_constant_folding, |
| 39 | dynamic_axes=dynamic_axes, |
| 40 | keep_initializers_as_inputs=keep_initializers_as_inputs, |
| 41 | custom_opsets=custom_opsets) |
| 42 | full_m = ONNXModelUtils.unfold_model(model, get_id_models(), io_mapping) |
| 43 | if output_path is not None: |
| 44 | onnx.save_model(full_m, output_path) |
| 45 | return full_m |
| 46 | |