265 lines
7.2 KiB
Python
Executable File
265 lines
7.2 KiB
Python
Executable File
#!/usr/bin/env python3
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import argparse
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from dataclasses import dataclass
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from typing import List, Optional
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import jinja2
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def get_args():
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parser = argparse.ArgumentParser()
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parser.add_argument(
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"--total",
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type=int,
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default=1,
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help="Number of runners",
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)
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parser.add_argument(
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"--index",
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type=int,
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default=0,
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help="Index of the current runner",
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)
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return parser.parse_args()
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@dataclass
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class Model:
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model_name: str
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lang: str
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short_name: str = ""
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cmd: str = ""
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def get_models():
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models = [
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Model(
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model_name="sherpa-onnx-whisper-tiny.en",
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lang="en",
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short_name="whisper_tiny.en",
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cmd="""
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pushd $model_name
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rm -fv tiny.en-encoder.onnx
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rm -fv tiny.en-decoder.onnx
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mv -v tiny.en-encoder.int8.onnx whisper-encoder.onnx
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mv -v tiny.en-decoder.int8.onnx whisper-decoder.onnx
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mv -v tiny.en-tokens.txt tokens.txt
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popd
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""",
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),
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Model(
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model_name="sherpa-onnx-moonshine-tiny-en-int8",
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lang="en",
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short_name="moonshine_tiny",
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cmd="""
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pushd $model_name
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mv -v preprocess.onnx moonshine-preprocessor.onnx
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mv -v encode.int8.onnx moonshine-encoder.onnx
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mv -v uncached_decode.int8.onnx moonshine-uncached-decoder.onnx
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mv -v cached_decode.int8.onnx moonshine-cached-decoder.onnx
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popd
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""",
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),
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Model(
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model_name="sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17",
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lang="zh_en_ko_ja_yue",
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short_name="sense_voice",
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cmd="""
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pushd $model_name
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rm -fv model.onnx
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mv -v model.int8.onnx sense-voice.onnx
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popd
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""",
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),
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Model(
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model_name="sherpa-onnx-paraformer-zh-2023-09-14",
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lang="zh_en",
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short_name="paraformer_2023_09_14",
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cmd="""
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pushd $model_name
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rm -fv model.onnx
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mv -v model.int8.onnx paraformer.onnx
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popd
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""",
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),
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Model(
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model_name="sherpa-onnx-paraformer-zh-small-2024-03-09",
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lang="zh_en",
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short_name="paraformer_small_2024_03_09",
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cmd="""
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pushd $model_name
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rm -fv model.onnx
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mv -v model.int8.onnx paraformer.onnx
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popd
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""",
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),
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Model(
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model_name="sherpa-onnx-zipformer-gigaspeech-2023-12-12",
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lang="en",
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short_name="zipformer_gigaspeech_2023_12_12",
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cmd="""
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pushd $model_name
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mv encoder-epoch-30-avg-1.int8.onnx transducer-encoder.onnx
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mv decoder-epoch-30-avg-1.onnx transducer-decoder.onnx
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mv joiner-epoch-30-avg-1.int8.onnx transducer-joiner.onnx
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rm -fv encoder-epoch-30-avg-1.onnx
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rm -fv decoder-epoch-30-avg-1.int8.onnx
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rm -fv joiner-epoch-30-avg-1.onnx
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popd
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""",
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),
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Model(
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model_name="icefall-asr-zipformer-wenetspeech-20230615",
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lang="zh",
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short_name="zipformer_wenetspeech",
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cmd="""
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pushd $model_name
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rm -rfv test_wavs
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rm -fv README.md
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mv -v data/lang_char/tokens.txt ./
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rm -rfv data/lang_char
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mv -v exp/encoder-epoch-12-avg-4.int8.onnx ./
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mv -v exp/decoder-epoch-12-avg-4.onnx ./
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mv -v exp/joiner-epoch-12-avg-4.int8.onnx ./
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rm -rfv exp
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mv -v encoder-epoch-12-avg-4.int8.onnx transducer-encoder.onnx
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mv -v decoder-epoch-12-avg-4.onnx transducer-decoder.onnx
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mv -v joiner-epoch-12-avg-4.int8.onnx transducer-joiner.onnx
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ls -lh
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popd
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""",
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),
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Model(
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model_name="sherpa-onnx-zipformer-ja-reazonspeech-2024-08-01",
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lang="ja",
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short_name="zipformer_reazonspeech_2024_08_01",
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cmd="""
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pushd $model_name
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mv encoder-epoch-99-avg-1.int8.onnx transducer-encoder.onnx
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mv decoder-epoch-99-avg-1.onnx transducer-decoder.onnx
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mv joiner-epoch-99-avg-1.int8.onnx transducer-joiner.onnx
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rm -fv encoder-epoch-99-avg-1.onnx
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rm -fv decoder-epoch-99-avg-1.int8.onnx
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rm -fv joiner-epoch-99-avg-1.onnx
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popd
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""",
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),
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Model(
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model_name="sherpa-onnx-zipformer-thai-2024-06-20",
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lang="th",
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short_name="zipformer_gigaspeech2",
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cmd="""
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pushd $model_name
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rm -rfv test_wavs
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rm -fv README.md
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rm -fv bpe.model
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mv encoder-epoch-12-avg-5.int8.onnx transducer-encoder.onnx
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mv decoder-epoch-12-avg-5.onnx transducer-decoder.onnx
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mv joiner-epoch-12-avg-5.int8.onnx transducer-joiner.onnx
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rm -fv encoder-epoch-12-avg-5.onnx
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rm -fv decoder-epoch-12-avg-5.int8.onnx
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rm -fv joiner-epoch-12-avg-5.onnx
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ls -lh
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popd
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""",
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),
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Model(
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model_name="sherpa-onnx-telespeech-ctc-int8-zh-2024-06-04",
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lang="zh",
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short_name="telespeech_ctc",
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cmd="""
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pushd $model_name
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mv model.int8.onnx telespeech.onnx
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rm -fv model.onnx
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ls -lh
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popd
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""",
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),
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Model(
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model_name="sherpa-onnx-nemo-parakeet-tdt-0.6b-v2-int8",
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lang="en",
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short_name="parakeet_tdt_0.6b_v2",
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cmd="""
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pushd $model_name
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rm -rfv test_wavs
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mv -v encoder.int8.onnx nemo-transducer-encoder.onnx
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mv -v decoder.int8.onnx nemo-transducer-decoder.onnx
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mv -v joiner.int8.onnx nemo-transducer-joiner.onnx
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ls -lh
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popd
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""",
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),
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]
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return models
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def main():
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args = get_args()
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index = args.index
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total = args.total
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assert 0 <= index < total, (index, total)
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all_model_list = get_models()
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num_models = len(all_model_list)
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num_per_runner = num_models // total
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if num_per_runner <= 0:
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raise ValueError(f"num_models: {num_models}, num_runners: {total}")
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start = index * num_per_runner
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end = start + num_per_runner
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remaining = num_models - args.total * num_per_runner
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print(f"{index}/{total}: {start}-{end}/{num_models}")
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d = dict()
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d["model_list"] = all_model_list[start:end]
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if index < remaining:
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s = args.total * num_per_runner + index
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d["model_list"].append(all_model_list[s])
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print(f"{s}/{num_models}")
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filename_list = [
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"./build-generate-subtitles.sh",
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]
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for filename in filename_list:
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environment = jinja2.Environment()
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with open(f"{filename}.in") as f:
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s = f.read()
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template = environment.from_string(s)
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s = template.render(**d)
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with open(filename, "w") as f:
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print(s, file=f)
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if __name__ == "__main__":
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main()
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