Simple mistakes trigger unclear error messages in the ALBERT example, that is:
Absence of the unpacked data for trainer (currently triggers requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/api/models/data/tokenizer)
Running all peers in --client_mode (currently triggers AllReduce failed: could not find a group)
The idea is to create a quick start document at the root of the repo, to illustrate how to quickly get started with JPPF, like an end-to-end HelloWorld. This would include how to setup and start a grid, full code example and expected output.
We shouldalso add a link to it in the main readme.md
Sergei did all of his variables etc in English but obviously he’s more comfortable working in Russian, so the code comments aren’t surprising. I’m using Google Translate to do some easier stuff and making my own decisions on syntax, but some hard sentences are pretty tough to do.
Ideally I need a Russian speaker to translate and check everything for me.
Performing deep learning analysis on Video Stream using Volunteer Computing. Volunteer computing is a form of distributed computing where every client can join and leave at will and request processing. Each client will contribute a certain amount of its resources.
Simple mistakes trigger unclear error messages in the ALBERT example, that is:
requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/api/models/data/tokenizer)--client_mode(currently triggersAllReduce failed: could not find a group)It would be great to