264 lines
6.4 KiB
Python
Executable File
264 lines
6.4 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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# We will download
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# https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/{model_name}.tar.bz2
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model_name: str
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# The type of the model, e..g, 0, 1, 2. It is hardcoded in the kotlin code
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idx: int
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# e.g., zh, en, zh_en
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lang: str
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# e.g., whisper, paraformer, zipformer
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short_name: str = ""
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# cmd is used to remove extra file from the model directory
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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-streaming-zipformer-bilingual-zh-en-2023-02-20",
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idx=8,
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lang="bilingual_zh_en",
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short_name="zipformer",
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cmd="""
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pushd $model_name
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rm -v decoder-epoch-99-avg-1.int8.onnx
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rm -v encoder-epoch-99-avg-1.onnx
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rm -v joiner-epoch-99-avg-1.onnx
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rm -v *.sh
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rm -v bpe.model
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rm -v README.md
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rm -v .gitattributes
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rm -v *state*
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rm -rfv test_wavs
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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-streaming-zipformer-en-2023-06-26",
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idx=6,
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lang="en",
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short_name="zipformer2",
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cmd="""
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pushd $model_name
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rm -v encoder-epoch-99-avg-1-chunk-16-left-128.onnx
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rm -v decoder-epoch-99-avg-1-chunk-16-left-128.int8.onnx
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rm -v joiner-epoch-99-avg-1-chunk-16-left-128.int8.onnx
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rm -v README.md
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rm -v bpe.model
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rm -rfv test_wavs
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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="icefall-asr-zipformer-streaming-wenetspeech-20230615",
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idx=3,
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lang="zh",
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short_name="zipformer2",
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cmd="""
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pushd $model_name
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rm -v exp/encoder-epoch-12-avg-4-chunk-16-left-128.onnx
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rm -v exp/decoder-epoch-12-avg-4-chunk-16-left-128.int8.onnx
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rm -v exp/joiner-epoch-12-avg-4-chunk-16-left-128.int8.onnx
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rm -v data/lang_char/lexicon.txt
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rm -v data/lang_char/words.txt
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rm -rfv test_wavs
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rm -v README.md
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ls -lh exp/
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ls -lh data/lang_char
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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-streaming-zipformer-fr-2023-04-14",
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idx=7,
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lang="fr",
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short_name="zipformer",
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cmd="""
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pushd $model_name
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rm -v encoder-epoch-29-avg-9-with-averaged-model.onnx
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rm -v decoder-epoch-29-avg-9-with-averaged-model.int8.onnx
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rm -v joiner-epoch-29-avg-9-with-averaged-model.int8.onnx
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rm -v *.sh
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rm -rf test_wavs
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rm README.md
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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-streaming-zipformer-zh-14M-2023-02-23",
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idx=9,
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lang="zh",
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short_name="small_zipformer",
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cmd="""
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pushd $model_name
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rm -v encoder-epoch-99-avg-1.onnx
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rm -v decoder-epoch-99-avg-1.int8.onnx
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rm -v joiner-epoch-99-avg-1.onnx
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rm -v *.sh
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rm -rf test_wavs
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rm README.md
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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-streaming-zipformer-en-20M-2023-02-17",
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idx=10,
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lang="en",
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short_name="small_zipformer",
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cmd="""
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pushd $model_name
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rm -v encoder-epoch-99-avg-1.onnx
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rm -v decoder-epoch-99-avg-1.int8.onnx
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rm -v joiner-epoch-99-avg-1.onnx
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rm -v *.sh
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rm -rf test_wavs
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rm README.md
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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-streaming-fast-conformer-ctc-en-80ms",
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idx=11,
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lang="en",
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short_name="nemo_ctc_80ms",
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cmd="""
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pushd $model_name
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rm -rf test_wavs
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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-streaming-fast-conformer-ctc-en-480ms",
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idx=12,
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lang="en",
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short_name="nemo_ctc_480ms",
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cmd="""
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pushd $model_name
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rm -rf test_wavs
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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-streaming-fast-conformer-ctc-en-1040ms",
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idx=13,
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lang="en",
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short_name="nemo_ctc_1040ms",
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cmd="""
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pushd $model_name
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rm -rf test_wavs
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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-apk-asr.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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