Support onnx #1
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Support onnx #1
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良いですね！！ このリポジトリにプルリクエストを送る配慮もとてもありがたいです。 Cythonの動作確認はC++版実装ができてからになると思います。 |
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positional encodingは動的生成させました
👍 Cythonの件はここではパスします |
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https://github.com/Hiroshiba/voicevox_core/pull/34 こちらのREADMEではあまり言及していませんがonnx変換方法がこっちで書かれていた方が良いのでマージお願いします。 |
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related: https://github.com/Hiroshiba/voicevox_engine/issues/69
TODO
Description
python run.py --yukarin_s_model_dir "model/yukarin_s" --yukarin_sa_model_dir "model/yukarin_sa" --yukarin_sosoa_model_dir "model/yukarin_sosoa" --hifigan_model_dir "model/hifigan" --speaker_ids 5 --method=convertでonnxへの変換が可能。modelフォルダのyukarin_s, yukarin_sa, yukarin_sosoaにonnxが保存されるyukarin_sosoaにはhifi_ganと合わせた
decode.onnxが保存されるonnxで実行したい場合は
--method=onnxとする；python run.py --yukarin_s_model_dir "model/yukarin_s" --yukarin_sa_model_dir "model/yukarin_sa" --yukarin_sosoa_model_dir "model/yukarin_sosoa" --hifigan_model_dir "model/hifigan" --speaker_ids 5 --method=onnxおそらくtorchをimportしていない
テストの結果波形の相対誤差が1e-3くらいになったがもっと小さくできるかは不明。decodeで何故か誤差が出てきてしまう
実際の重みで聞いてみる必要がある
テストコマンド:
python test.py --yukarin_s_model_dir "model/yukarin_s" --yukarin_sa_model_dir "model/yukarin_sa" --yukarin_sosoa_model_dir "model/yukarin_sosoa" --hifigan_model_dir "model/hifigan" --speaker_ids 6 --texts "おはようございます、こんにちは、こんばんは"