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WIP:Docker update

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wataru 2023-02-01 11:18:10 +09:00
parent 161c25aea9
commit 080fa52059
3 changed files with 4 additions and 2 deletions
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3
docker_trainer/Dockerfile
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@ -5,7 +5,6 @@ ARG DEBIAN_FRONTEND=noninteractive
RUN apt-get -y update && apt-get install -y emacs git curl python3-pip libsndfile1-dev ffmpeg RUN apt-get -y update && apt-get install -y emacs git curl python3-pip libsndfile1-dev ffmpeg
RUN git clone --depth 1 -b v1.5.0.0_SiFiGAN https://github.com/isletennos/MMVC_Trainer.git RUN git clone --depth 1 -b v1.5.0.0_SiFiGAN https://github.com/isletennos/MMVC_Trainer.git
ADD /model/D_v15_best.pth /MMVC_Trainer/fine_model/ ADD /model/D_v15_best.pth /MMVC_Trainer/fine_model/
ADD /model/G_v15_best.pth /MMVC_Trainer/fine_model/ ADD /model/G_v15_best.pth /MMVC_Trainer/fine_model/
@ -26,6 +25,8 @@ ADD /warmup.py /
RUN python3 warmup.py RUN python3 warmup.py
WORKDIR /MMVC_Trainer/ WORKDIR /MMVC_Trainer/
RUN cp -r /MMVC_Trainer/configs /MMVC_Trainer/configs_org
# python3 normalize.py True # python3 normalize.py True
# python3 create_dataset.py -f train_config -s 24000 -m dataset/multi_speaker_correspondence.txt # python3 create_dataset.py -f train_config -s 24000 -m dataset/multi_speaker_correspondence.txt
# tensorboard --logdir logs --port 5000 # tensorboard --logdir logs --port 5000

1
docker_trainer/README.md
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@ -48,6 +48,7 @@ trainer/dataset/
(4) Docker内で次のコマンドを実行 (4) Docker内で次のコマンドを実行
batch sizeは適宜調整 batch sizeは適宜調整
```sh ```sh
$ cp configs_org/baseconfig.json configs/
$ python3 normalize.py True $ python3 normalize.py True
$ python3 create_dataset.py -f train_config -s 24000 -m dataset/multi_speaker_correspondence.txt $ python3 create_dataset.py -f train_config -s 24000 -m dataset/multi_speaker_correspondence.txt
$ tensorboard --logdir logs --port 5000 $ tensorboard --logdir logs --port 5000

2
docker_trainer/start_trainer.sh
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@ -1,7 +1,7 @@
#!/bin/bash #!/bin/bash
set -eu set -eu
DOCKER_IMAGE=dannadori/trainer:20230131_182050 DOCKER_IMAGE=dannadori/trainer:20230201_111603
docker run --gpus all --rm -ti \ docker run --gpus all --rm -ti \
-v `pwd`/trainer/dataset:/MMVC_Trainer/dataset \ -v `pwd`/trainer/dataset:/MMVC_Trainer/dataset \