- A simple note for how to start multi-node-training on slurm scheduler with PyTorch.
- Useful especially when scheduler is too busy that you cannot get multiple GPUs allocated, or you need more than 4 GPUs for a single job.
- Requirement: Have to use PyTorch DistributedDataParallel(DDP) for this purpose.
- Warning: might need to re-factor your own code.
- Warning: might be secretly condemned by your colleagues because using too many GPUs.
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library(repr) | |
# Change plot size to 4 x 3 | |
options(repr.plot.width=4, repr.plot.height=3) | |
curve(sin(x), from = 0, to=2*pi, n = 100) | |
# Change plot size to 8 x 3 | |
options(repr.plot.width=8, repr.plot.height=3) | |
curve(sin(x), from = 0, to=4*pi, n = 200) |
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Mac Port 基本用法总结 | |
1. Mac Port的下载地址 | |
http://www.macports.org/install.php | |
2. Mac Port的说明文档 | |
http://guide.macports.org/ | |
3. Mac Port中第三方软件下载包存放的默认路径是:/opt/local/var/macports/distfiles/ | |
为了提高安装速度,可以在安装新port时直接将此目录下的文件拷贝到新的Mac Port相同的目录中就可以避免Port去网上下载。 |