mirror of
https://github.com/w-okada/voice-changer.git
synced 2025-01-23 13:35:12 +03:00
41 lines
1.5 KiB
Docker
41 lines
1.5 KiB
Docker
FROM nvidia/cuda:11.8.0-cudnn8-runtime-ubuntu22.04 as base
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ARG DEBIAN_FRONTEND=noninteractive
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RUN apt-get -y update && apt-get install -y emacs git curl python3-pip libsndfile1-dev ffmpeg
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RUN git clone --depth 1 -b v1.5.0.0_SiFiGAN https://github.com/isletennos/MMVC_Trainer.git
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ADD /model/D_v15_best.pth /MMVC_Trainer/fine_model/
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ADD /model/G_v15_best.pth /MMVC_Trainer/fine_model/
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RUN pip install pydub==0.25.1
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RUN pip install tqdm==4.64.1
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RUN pip install librosa==0.9.2
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RUN pip install torch==1.13.1
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RUN pip install torchaudio==0.13.1
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RUN pip install psutil==5.9.4
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RUN pip install tensorboard==2.11.2
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RUN pip install pytz==2022.7.1
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RUN pip install pyworld==0.3.2
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RUN pip install retry==0.9.2
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RUN pip install h5py==3.8.0
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RUN pip install matplotlib==3.6.3
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ADD /warmup.py /
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RUN python3 warmup.py
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WORKDIR /MMVC_Trainer/
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RUN cp -r /MMVC_Trainer/configs /MMVC_Trainer/configs_org
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# python3 normalize.py True
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# python3 create_dataset.py -f train_config -s 24000 -m dataset/multi_speaker_correspondence.txt
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# tensorboard --logdir logs --port 5000
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# python3 train_ms.py -c configs/train_config.json -m 20220306_24000 -fg fine_model/G_v15_best.pth -fd fine_model/D_v15_best.pth
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#$ docker run --gpus all --rm -ti -v `pwd`/trainer/dataset:/MMVC_Trainer/dataset -v `pwd`/trainer/configs:/MMVC_Trainer/configs -v `pwd`/trainer/F0:/MMVC_Trainer/F0 -v `pwd`/trainer/cF0:/MMVC_Trainer/cF0 -v `pwd`/trainer/units:/MMVC_Trainer/units -v `pwd`/trainer/logs:/MMVC_Trainer/logs -v `pwd`/trainer/filelists:/MMVC_Trainer/filelists -p 5000:5000 trainer /bin/bash
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