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  1. I started building Mindwtr because I wanted a task app I could keep using across different computers and phones.

  2. torchrun is a utility provided by PyTorch to simplify launching distributed training jobs.

  3. Background When I first started using my university’s computing cluster, I quickly realized I needed to set up custom environments for my tasks.

  4. Introduction In today’s interconnected world, managing secure and efficient data synchronization across multiple devices is crucial.

  5. Background In my previous post, I demonstrated how to set up a proxy server and configure clients on various devices.

  6. Background How can you speed up your training?

  7. Docker Basics Refer to the Docker documentation and use docker --help for more details.

  8. This guide provides a detailed walkthrough to set up a web file server using Nginx, h5ai, Aria2, and AriaNG on a Debian-based VPS.

  9. Background Scenario: You have an intranet machine (e.g., a computer in your company) without a public IP, and you want to access it from home or anywhere with internet connectivity.

  10. Background This note is the class note of UBC Deep reinforcement learning, namely CS294-112 or CS285. the lecturer is ‎Sergey Levine.