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WIP: v1.5support 1
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docker_trainer/Dockerfile
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docker_trainer/Dockerfile
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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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# 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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docker_trainer/README.md
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docker_trainer/README.md
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MMVC Server
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----
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# 起動方法
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(1) Datasetを`trainer/dataset`におく
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```sh
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trainer/dataset/
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├── 00_myvoice
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│ ├── text
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│ │ ├── emotion001.txt
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│ │ ├── emotion002.txt
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...
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│ │ └── emotion100.txt
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│ └── wav
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│ ├── emotion001.wav
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│ ├── emotion002.wav
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...
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│ └── emotion100.wav
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├── 1205_zundamon
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│ ├── text
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│ │ ├── emoNormal_001.txt
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│ │ ├── emoNormal_002.txt
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...
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│ │ └── emoNormal_100.txt
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│ └── wav
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│ ├── emoNormal_001.wav
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│ ├── emoNormal_002.wav
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...
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│ └── emoNormal_100.wav
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├── 344_tsumugi
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│ ├── text
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│ │ ├── VOICEACTRESS100_001.txt
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│ │ ├── VOICEACTRESS100_002.txt
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...
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│ │ └── emoNormal_100.txt
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│ └── wav
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│ ├── VOICEACTRESS100_001.wav
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│ ├── VOICEACTRESS100_002.wav
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...
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│ └── emoNormal_100.wav
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└── multi_speaker_correspondence.txt
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```
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(2) start.shをrootにコピー
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(3) `bash start.sh`を実行
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(4) Docker内で次のコマンドを実行
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batch sizeは適宜調整
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```sh
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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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```
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docker_trainer/model/.gitignore
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docker_trainer/model/.gitignore
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*
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!.gitignore
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docker_trainer/start.sh
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docker_trainer/start.sh
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docker run --gpus all --rm -ti \
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-v `pwd`/trainer/dataset:/MMVC_Trainer/dataset \
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-v `pwd`/trainer/configs:/MMVC_Trainer/configs \
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-v `pwd`/trainer/F0:/MMVC_Trainer/F0 \
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-v `pwd`/trainer/cF0:/MMVC_Trainer/cF0 \
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-v `pwd`/trainer/units:/MMVC_Trainer/units \
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-v `pwd`/trainer/logs:/MMVC_Trainer/logs \
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-v `pwd`/trainer/filelists:/MMVC_Trainer/filelists \
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-p 5000:5000 \
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trainer /bin/bash
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docker_trainer/warmup.py
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docker_trainer/warmup.py
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import torch
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hubert = torch.hub.load("bshall/hubert:main", "hubert_soft")
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"scripts": {
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"build:docker": "date +%Y%m%d%H%M%S > docker/dummy && DOCKER_BUILDKIT=1 docker build -f docker/Dockerfile docker/ -t voice-changer",
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"build:docker:onnx": "DOCKER_BUILDKIT=1 docker build -f docker_onnx/Dockerfile docker/ -t onnx-converter",
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"build:docker:trainer": "DOCKER_BUILDKIT=1 docker build -f docker_trainer/Dockerfile docker_trainer/ -t trainer",
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"copy:frontend": "docker run -v `pwd`/frontend/dist:/frontend/dist --entrypoint /bin/bash -ti voice-changer -c \"cp -r /voice-changer-internal/frontend/dist/* /frontend/dist\"",
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"copy:backend": "docker run -v `pwd`/demo:/demo --entrypoint /bin/bash -ti voice-changer -c \"cp -r /voice-changer-internal/voice-change-service/* /demo/ && rm -rf /demo/MMVC_Trainer/.git && rm -rf /demo/MMVC_Trainer/.gitignore \"",
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"create:demo": "run-p copy:frontend copy:backend",
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trainer/F0/.gitignore
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trainer/F0/.gitignore
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*
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!.gitignore
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trainer/cF0/.gitignore
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trainer/cF0/.gitignore
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*
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!.gitignore
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trainer/configs/.gitignore
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trainer/configs/.gitignore
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*
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!.gitignore
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trainer/dataset/.gitignore
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trainer/dataset/.gitignore
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*
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!.gitignore
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trainer/logs/.gitignore
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*
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!.gitignore
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trainer/units/.gitignore
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trainer/units/.gitignore
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*
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!.gitignore
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