| | |
| | | import logging |
| | | import torch |
| | | |
| | | from funasr.bin.asr_inference_paraformer import Speech2Text |
| | | from funasr.export.models import get_model |
| | | import numpy as np |
| | | import random |
| | | |
| | | # torch_version = float(".".join(torch.__version__.split(".")[:2])) |
| | | # assert torch_version > 1.9 |
| | | |
| | | class ASRModelExportParaformer: |
| | | def __init__(self, cache_dir: Union[Path, str] = None, onnx: bool = True): |
| | |
| | | |
| | | def _export( |
| | | self, |
| | | model: Speech2Text, |
| | | model, |
| | | tag_name: str = None, |
| | | verbose: bool = False, |
| | | ): |
| | |
| | | if enc_size: |
| | | dummy_input = model.get_dummy_inputs(enc_size) |
| | | else: |
| | | dummy_input = model.get_dummy_inputs_txt() |
| | | dummy_input = model.get_dummy_inputs() |
| | | |
| | | # model_script = torch.jit.script(model) |
| | | model_script = torch.jit.trace(model, dummy_input) |
| | |
| | | dummy_input, |
| | | os.path.join(path, f'{model.model_name}.onnx'), |
| | | verbose=verbose, |
| | | opset_version=12, |
| | | opset_version=14, |
| | | input_names=model.get_input_names(), |
| | | output_names=model.get_output_names(), |
| | | dynamic_axes=model.get_dynamic_axes() |
| | | ) |
| | | |
| | | |
| | | if __name__ == '__main__': |
| | | import sys |
| | | |