diff --git a/tools/ipynb/v1.ipynb b/tools/ipynb/v1.ipynb index d4ef933..78a867f 100644 --- a/tools/ipynb/v1.ipynb +++ b/tools/ipynb/v1.ipynb @@ -1,353 +1,353 @@ { - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "WHBMn6dOWm-S" - }, - "source": [ - "# [Retrieval-based-Voice-Conversion-WebUI](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI) Training notebook" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "ZFFCx5J80SGa" - }, - "source": [ - "[![RVC v1](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/blob/main/tools/colab/v1.ipynb)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "GmFP6bN9dvOq" - }, - "outputs": [], - "source": [ - "# @title 查看显卡\n", - "!nvidia-smi" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "jwu07JgqoFON" - }, - "outputs": [], - "source": [ - "# @title 挂载谷歌云盘\n", - "\n", - "from google.colab import drive\n", - "\n", - "drive.mount(\"/content/drive\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "wjddIFr1oS3W" - }, - "outputs": [], - "source": [ - "# @title 安装依赖\n", - "!apt -y install build-essential python3-dev ffmpeg\n", - "!pip3 install --upgrade setuptools wheel\n", - "!pip3 install --upgrade pip" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "ge_97mfpgqTm" - }, - "outputs": [], - "source": [ - "# @title 克隆仓库\n", - "\n", - "!git clone --depth=1 -b v1 https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI\n", - "%cd /content/Retrieval-based-Voice-Conversion-WebUI" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "BLDEZADkvlw1" - }, - "outputs": [], - "source": [ - "# @title 安装依赖\n", - "!pip install -r requirements.txt" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "pqE0PrnuRqI2" - }, - "outputs": [], - "source": [ - "# @title 下载安装 RVC-Models-Downloader\n", - "!wget https://github.com/RVC-Project/RVC-Models-Downloader/releases/download/v0.2.1/rvcmd_linux_amd64.deb\n", - "!apt install ./rvcmd_linux_amd64.deb" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "UG3XpUwEomUz" - }, - "outputs": [], - "source": [ - "# @title 下载所需资源\n", - "!rvcmd -notrs -w 1 -notui assets/v1\n", - "!rvcmd -notrs -w 1 -notui assets/rmvpe" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "Mwk7Q0Loqzjx" - }, - "outputs": [], - "source": [ - "# @title 从谷歌云盘加载打包好的数据集到/content/dataset\n", - "\n", - "# @markdown 数据集位置\n", - "DATASET = \"/content/drive/MyDrive/mydataset.zip\" # @param {type:\"string\"}\n", - "\n", - "!mkdir -p /content/dataset\n", - "!unzip -d /content/dataset -B {DATASET}" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "PDlFxWHWEynD" - }, - "outputs": [], - "source": [ - "# @title 重命名数据集中的重名文件\n", - "!ls -a /content/dataset/\n", - "!rename 's/(\\w+)\\.(\\w+)~(\\d*)/$1_$3.$2/' /content/dataset/*.*~*" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "7vh6vphDwO0b" - }, - "outputs": [], - "source": [ - "# @title 启动web\n", - "%cd /content/Retrieval-based-Voice-Conversion-WebUI\n", - "# %load_ext tensorboard\n", - "# %tensorboard --logdir /content/Retrieval-based-Voice-Conversion-WebUI/logs\n", - "!python3 infer-web.py --colab --pycmd python3" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "FgJuNeAwx5Y_" - }, - "outputs": [], - "source": [ - "# @title 手动将训练后的模型文件备份到谷歌云盘\n", - "# @markdown 需要自己查看logs文件夹下模型的文件名,手动修改下方命令末尾的文件名\n", - "\n", - "# @markdown 模型名\n", - "MODELNAME = \"mymodel\" # @param {type:\"string\"}\n", - "# @markdown 模型epoch\n", - "MODELEPOCH = 3200 # @param {type:\"integer\"}\n", - "\n", - "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth /content/drive/MyDrive/{MODELNAME}_D_{MODELEPOCH}.pth\n", - "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth /content/drive/MyDrive/{MODELNAME}_G_{MODELEPOCH}.pth\n", - "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/added_*.index /content/drive/MyDrive/\n", - "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/total_*.npy /content/drive/MyDrive/\n", - "\n", - "!cp /content/Retrieval-based-Voice-Conversion-WebUI/weights/{MODELNAME}.pth /content/drive/MyDrive/{MODELNAME}{MODELEPOCH}.pth" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "OVQoLQJXS7WX" - }, - "outputs": [], - "source": [ - "# @title 从谷歌云盘恢复pth\n", - "# @markdown 需要自己查看logs文件夹下模型的文件名,手动修改下方命令末尾的文件名\n", - "\n", - "# @markdown 模型名\n", - "MODELNAME = \"mymodel\" # @param {type:\"string\"}\n", - "# @markdown 模型epoch\n", - "MODELEPOCH = 3200 # @param {type:\"integer\"}\n", - "\n", - "!mkdir -p /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n", - "\n", - "!cp /content/drive/MyDrive/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth\n", - "!cp /content/drive/MyDrive/{MODELNAME}_G_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth\n", - "!cp /content/drive/MyDrive/*.index /content/\n", - "!cp /content/drive/MyDrive/*.npy /content/\n", - "!cp /content/drive/MyDrive/{MODELNAME}{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/weights/{MODELNAME}.pth" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "ZKAyuKb9J6dz" - }, - "outputs": [], - "source": [ - "# @title 手动预处理(不推荐)\n", - "# @markdown 模型名\n", - "MODELNAME = \"mymodel\" # @param {type:\"string\"}\n", - "# @markdown 采样率\n", - "BITRATE = 48000 # @param {type:\"integer\"}\n", - "# @markdown 使用的进程数\n", - "THREADCOUNT = 8 # @param {type:\"integer\"}\n", - "\n", - "!python3 trainset_preprocess_pipeline_print.py /content/dataset {BITRATE} {THREADCOUNT} logs/{MODELNAME} True" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "CrxJqzAUKmPJ" - }, - "outputs": [], - "source": [ - "# @title 手动提取特征(不推荐)\n", - "# @markdown 模型名\n", - "MODELNAME = \"mymodel\" # @param {type:\"string\"}\n", - "# @markdown 使用的进程数\n", - "THREADCOUNT = 8 # @param {type:\"integer\"}\n", - "# @markdown 音高提取算法\n", - "ALGO = \"harvest\" # @param {type:\"string\"}\n", - "\n", - "!python3 extract_f0_print.py logs/{MODELNAME} {THREADCOUNT} {ALGO}\n", - "\n", - "!python3 extract_feature_print.py cpu 1 0 0 logs/{MODELNAME} True" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "IMLPLKOaKj58" - }, - "outputs": [], - "source": [ - "# @title 手动训练(不推荐)\n", - "# @markdown 模型名\n", - "MODELNAME = \"mymodel\" # @param {type:\"string\"}\n", - "# @markdown 使用的GPU\n", - "USEGPU = \"0\" # @param {type:\"string\"}\n", - "# @markdown 批大小\n", - "BATCHSIZE = 32 # @param {type:\"integer\"}\n", - "# @markdown 停止的epoch\n", - "MODELEPOCH = 3200 # @param {type:\"integer\"}\n", - "# @markdown 保存epoch间隔\n", - "EPOCHSAVE = 100 # @param {type:\"integer\"}\n", - "# @markdown 采样率\n", - "MODELSAMPLE = \"48k\" # @param {type:\"string\"}\n", - "# @markdown 是否缓存训练集\n", - "CACHEDATA = 1 # @param {type:\"integer\"}\n", - "# @markdown 是否仅保存最新的ckpt文件\n", - "ONLYLATEST = 0 # @param {type:\"integer\"}\n", - "\n", - "!python3 train_nsf_sim_cache_sid_load_pretrain.py -e lulu -sr {MODELSAMPLE} -f0 1 -bs {BATCHSIZE} -g {USEGPU} -te {MODELEPOCH} -se {EPOCHSAVE} -pg pretrained/f0G{MODELSAMPLE}.pth -pd pretrained/f0D{MODELSAMPLE}.pth -l {ONLYLATEST} -c {CACHEDATA}" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "haYA81hySuDl" - }, - "outputs": [], - "source": [ - "# @title 删除其它pth,只留选中的(慎点,仔细看代码)\n", - "# @markdown 模型名\n", - "MODELNAME = \"mymodel\" # @param {type:\"string\"}\n", - "# @markdown 选中模型epoch\n", - "MODELEPOCH = 3200 # @param {type:\"integer\"}\n", - "\n", - "!echo \"备份选中的模型。。。\"\n", - "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth /content/{MODELNAME}_D_{MODELEPOCH}.pth\n", - "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth /content/{MODELNAME}_G_{MODELEPOCH}.pth\n", - "\n", - "!echo \"正在删除。。。\"\n", - "!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n", - "!rm /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/*.pth\n", - "\n", - "!echo \"恢复选中的模型。。。\"\n", - "!mv /content/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth\n", - "!mv /content/{MODELNAME}_G_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth\n", - "\n", - "!echo \"删除完成\"\n", - "!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "QhSiPTVPoIRh" - }, - "outputs": [], - "source": [ - "# @title 清除项目下所有文件,只留选中的模型(慎点,仔细看代码)\n", - "# @markdown 模型名\n", - "MODELNAME = \"mymodel\" # @param {type:\"string\"}\n", - "# @markdown 选中模型epoch\n", - "MODELEPOCH = 3200 # @param {type:\"integer\"}\n", - "\n", - "!echo \"备份选中的模型。。。\"\n", - "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth /content/{MODELNAME}_D_{MODELEPOCH}.pth\n", - "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth /content/{MODELNAME}_G_{MODELEPOCH}.pth\n", - "\n", - "!echo \"正在删除。。。\"\n", - "!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n", - "!rm -rf /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/*\n", - "\n", - "!echo \"恢复选中的模型。。。\"\n", - "!mv /content/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth\n", - "!mv /content/{MODELNAME}_G_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth\n", - "\n", - "!echo \"删除完成\"\n", - "!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}" - ] - } - ], - "metadata": { - "colab": { - "private_outputs": true, - "provenance": [] - }, - "kernelspec": { - "display_name": "Python 3", - "name": "python3" - }, - "language_info": { - "name": "python" - } + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "WHBMn6dOWm-S" + }, + "source": [ + "# [Retrieval-based-Voice-Conversion-WebUI](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI) Training notebook" + ] }, - "nbformat": 4, - "nbformat_minor": 0 + { + "cell_type": "markdown", + "metadata": { + "id": "ZFFCx5J80SGa" + }, + "source": [ + "[![RVC v1](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/blob/main/tools/colab/v1.ipynb)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "GmFP6bN9dvOq" + }, + "outputs": [], + "source": [ + "# @title 查看显卡\n", + "!nvidia-smi" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "jwu07JgqoFON" + }, + "outputs": [], + "source": [ + "# @title 挂载谷歌云盘\n", + "\n", + "from google.colab import drive\n", + "\n", + "drive.mount(\"/content/drive\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "wjddIFr1oS3W" + }, + "outputs": [], + "source": [ + "# @title 安装依赖\n", + "!apt -y install build-essential python3-dev ffmpeg\n", + "!pip3 install --upgrade setuptools wheel\n", + "!pip3 install --upgrade pip" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "ge_97mfpgqTm" + }, + "outputs": [], + "source": [ + "# @title 克隆仓库\n", + "\n", + "!git clone --depth=1 -b v1 https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI\n", + "%cd /content/Retrieval-based-Voice-Conversion-WebUI" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "BLDEZADkvlw1" + }, + "outputs": [], + "source": [ + "# @title 安装依赖\n", + "!pip install -r requirements.txt" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "pqE0PrnuRqI2" + }, + "outputs": [], + "source": [ + "# @title 下载安装 RVC-Models-Downloader\n", + "!wget https://github.com/RVC-Project/RVC-Models-Downloader/releases/download/v0.2.1/rvcmd_linux_amd64.deb\n", + "!apt install ./rvcmd_linux_amd64.deb" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "UG3XpUwEomUz" + }, + "outputs": [], + "source": [ + "# @title 下载所需资源\n", + "!rvcmd -notrs -w 1 -notui assets/v1\n", + "!rvcmd -notrs -w 1 -notui assets/rmvpe" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "Mwk7Q0Loqzjx" + }, + "outputs": [], + "source": [ + "# @title 从谷歌云盘加载打包好的数据集到/content/dataset\n", + "\n", + "# @markdown 数据集位置\n", + "DATASET = \"/content/drive/MyDrive/mydataset.zip\" # @param {type:\"string\"}\n", + "\n", + "!mkdir -p /content/dataset\n", + "!unzip -d /content/dataset -B {DATASET}" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "PDlFxWHWEynD" + }, + "outputs": [], + "source": [ + "# @title 重命名数据集中的重名文件\n", + "!ls -a /content/dataset/\n", + "!rename 's/(\\w+)\\.(\\w+)~(\\d*)/$1_$3.$2/' /content/dataset/*.*~*" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "7vh6vphDwO0b" + }, + "outputs": [], + "source": [ + "# @title 启动web\n", + "%cd /content/Retrieval-based-Voice-Conversion-WebUI\n", + "# %load_ext tensorboard\n", + "# %tensorboard --logdir /content/Retrieval-based-Voice-Conversion-WebUI/logs\n", + "!python3 infer-web.py --colab --pycmd python3" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "FgJuNeAwx5Y_" + }, + "outputs": [], + "source": [ + "# @title 手动将训练后的模型文件备份到谷歌云盘\n", + "# @markdown 需要自己查看logs文件夹下模型的文件名,手动修改下方命令末尾的文件名\n", + "\n", + "# @markdown 模型名\n", + "MODELNAME = \"mymodel\" # @param {type:\"string\"}\n", + "# @markdown 模型epoch\n", + "MODELEPOCH = 3200 # @param {type:\"integer\"}\n", + "\n", + "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth /content/drive/MyDrive/{MODELNAME}_D_{MODELEPOCH}.pth\n", + "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth /content/drive/MyDrive/{MODELNAME}_G_{MODELEPOCH}.pth\n", + "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/added_*.index /content/drive/MyDrive/\n", + "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/total_*.npy /content/drive/MyDrive/\n", + "\n", + "!cp /content/Retrieval-based-Voice-Conversion-WebUI/weights/{MODELNAME}.pth /content/drive/MyDrive/{MODELNAME}{MODELEPOCH}.pth" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "OVQoLQJXS7WX" + }, + "outputs": [], + "source": [ + "# @title 从谷歌云盘恢复pth\n", + "# @markdown 需要自己查看logs文件夹下模型的文件名,手动修改下方命令末尾的文件名\n", + "\n", + "# @markdown 模型名\n", + "MODELNAME = \"mymodel\" # @param {type:\"string\"}\n", + "# @markdown 模型epoch\n", + "MODELEPOCH = 3200 # @param {type:\"integer\"}\n", + "\n", + "!mkdir -p /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n", + "\n", + "!cp /content/drive/MyDrive/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth\n", + "!cp /content/drive/MyDrive/{MODELNAME}_G_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth\n", + "!cp /content/drive/MyDrive/*.index /content/\n", + "!cp /content/drive/MyDrive/*.npy /content/\n", + "!cp /content/drive/MyDrive/{MODELNAME}{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/weights/{MODELNAME}.pth" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "ZKAyuKb9J6dz" + }, + "outputs": [], + "source": [ + "# @title 手动预处理(不推荐)\n", + "# @markdown 模型名\n", + "MODELNAME = \"mymodel\" # @param {type:\"string\"}\n", + "# @markdown 采样率\n", + "BITRATE = 48000 # @param {type:\"integer\"}\n", + "# @markdown 使用的进程数\n", + "THREADCOUNT = 8 # @param {type:\"integer\"}\n", + "\n", + "!python3 trainset_preprocess_pipeline_print.py /content/dataset {BITRATE} {THREADCOUNT} logs/{MODELNAME} True" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "CrxJqzAUKmPJ" + }, + "outputs": [], + "source": [ + "# @title 手动提取特征(不推荐)\n", + "# @markdown 模型名\n", + "MODELNAME = \"mymodel\" # @param {type:\"string\"}\n", + "# @markdown 使用的进程数\n", + "THREADCOUNT = 8 # @param {type:\"integer\"}\n", + "# @markdown 音高提取算法\n", + "ALGO = \"harvest\" # @param {type:\"string\"}\n", + "\n", + "!python3 extract_f0_print.py logs/{MODELNAME} {THREADCOUNT} {ALGO}\n", + "\n", + "!python3 extract_feature_print.py cpu 1 0 0 logs/{MODELNAME} True" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "IMLPLKOaKj58" + }, + "outputs": [], + "source": [ + "# @title 手动训练(不推荐)\n", + "# @markdown 模型名\n", + "MODELNAME = \"mymodel\" # @param {type:\"string\"}\n", + "# @markdown 使用的GPU\n", + "USEGPU = \"0\" # @param {type:\"string\"}\n", + "# @markdown 批大小\n", + "BATCHSIZE = 32 # @param {type:\"integer\"}\n", + "# @markdown 停止的epoch\n", + "MODELEPOCH = 3200 # @param {type:\"integer\"}\n", + "# @markdown 保存epoch间隔\n", + "EPOCHSAVE = 100 # @param {type:\"integer\"}\n", + "# @markdown 采样率\n", + "MODELSAMPLE = \"48k\" # @param {type:\"string\"}\n", + "# @markdown 是否缓存训练集\n", + "CACHEDATA = 1 # @param {type:\"integer\"}\n", + "# @markdown 是否仅保存最新的ckpt文件\n", + "ONLYLATEST = 0 # @param {type:\"integer\"}\n", + "\n", + "!python3 train_nsf_sim_cache_sid_load_pretrain.py -e lulu -sr {MODELSAMPLE} -f0 1 -bs {BATCHSIZE} -g {USEGPU} -te {MODELEPOCH} -se {EPOCHSAVE} -pg pretrained/f0G{MODELSAMPLE}.pth -pd pretrained/f0D{MODELSAMPLE}.pth -l {ONLYLATEST} -c {CACHEDATA}" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "haYA81hySuDl" + }, + "outputs": [], + "source": [ + "# @title 删除其它pth,只留选中的(慎点,仔细看代码)\n", + "# @markdown 模型名\n", + "MODELNAME = \"mymodel\" # @param {type:\"string\"}\n", + "# @markdown 选中模型epoch\n", + "MODELEPOCH = 3200 # @param {type:\"integer\"}\n", + "\n", + "!echo \"备份选中的模型。。。\"\n", + "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth /content/{MODELNAME}_D_{MODELEPOCH}.pth\n", + "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth /content/{MODELNAME}_G_{MODELEPOCH}.pth\n", + "\n", + "!echo \"正在删除。。。\"\n", + "!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n", + "!rm /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/*.pth\n", + "\n", + "!echo \"恢复选中的模型。。。\"\n", + "!mv /content/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth\n", + "!mv /content/{MODELNAME}_G_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth\n", + "\n", + "!echo \"删除完成\"\n", + "!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "QhSiPTVPoIRh" + }, + "outputs": [], + "source": [ + "# @title 清除项目下所有文件,只留选中的模型(慎点,仔细看代码)\n", + "# @markdown 模型名\n", + "MODELNAME = \"mymodel\" # @param {type:\"string\"}\n", + "# @markdown 选中模型epoch\n", + "MODELEPOCH = 3200 # @param {type:\"integer\"}\n", + "\n", + "!echo \"备份选中的模型。。。\"\n", + "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth /content/{MODELNAME}_D_{MODELEPOCH}.pth\n", + "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth /content/{MODELNAME}_G_{MODELEPOCH}.pth\n", + "\n", + "!echo \"正在删除。。。\"\n", + "!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n", + "!rm -rf /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/*\n", + "\n", + "!echo \"恢复选中的模型。。。\"\n", + "!mv /content/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth\n", + "!mv /content/{MODELNAME}_G_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth\n", + "\n", + "!echo \"删除完成\"\n", + "!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}" + ] + } + ], + "metadata": { + "colab": { + "private_outputs": true, + "provenance": [] + }, + "kernelspec": { + "display_name": "Python 3", + "name": "python3" + }, + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 0 } \ No newline at end of file