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| | | # -*- encoding: utf-8 -*- |
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| | | # Copyright FunASR (https://github.com/alibaba-damo-academy/FunASR). All Rights Reserved. |
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| | | # MIT License (https://opensource.org/licenses/MIT) |
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| | | |
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| | | import os.path |
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| | | from pathlib import Path |
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| | | |
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| | | class Paraformer(): |
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| | | """ |
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| | | Author: Speech Lab of DAMO Academy, Alibaba Group |
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| | | Paraformer: Fast and Accurate Parallel Transformer for Non-autoregressive End-to-End Speech Recognition |
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| | | https://arxiv.org/abs/2206.08317 |
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| | | """ |
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| | | def __init__(self, model_dir: Union[str, Path] = None, |
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| | | batch_size: int = 1, |
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| | | device_id: Union[str, int] = "-1", |
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| | | plot_timestamp_to: str = "", |
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| | | quantize: bool = False, |
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| | | intra_op_num_threads: int = 4, |
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| | | cache_dir=None |
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| | | ): |
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| | | |
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| | | if not Path(model_dir).exists(): |
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| | | raise FileNotFoundError(f'{model_dir} does not exist.') |
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| | | from modelscope.hub.snapshot_download import snapshot_download |
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| | | try: |
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| | | model_dir = snapshot_download(model_dir, cache_dir=cache_dir) |
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| | | except: |
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| | | raise "model_dir must be model_name in modelscope or local path downloaded from modelscope, but is {}".format(model_dir) |
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| | | from funasr.export.export_model import ModelExport |
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| | | export_model = ModelExport( |
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| | | cache_dir=cache_dir, |
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| | | onnx=True, |
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| | | device="cpu", |
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| | | quant=quantize, |
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| | | ) |
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| | | export_model.export(model_dir) |
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| | | model_file = os.path.join(model_dir, 'model.onnx') |
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| | | if quantize: |
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