Note that the code is a bit outdated, using Fairseq 0.9 and PyTorch 1.6.0. applications <. Sign in Revision 5ec3a27e. launching across various platforms, and more. FairseqDataclass (which adds some functionality for backward compatibility). I also reduce the batch size until I get absolutely no OOM error, so that I can avoid training to hang/crash. Override default values through command line: 2. further overwritten by values provided through command line arguments. As I'm feeling like being very close to success, I got stuck After printing the following, no further messages printed, processes hang. privacy statement. The dataclass is registered applications, this became problematic. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. I was actually referring this documentation. components inherit from FairseqTask and FairseqModel and provide a dataclass Command-line Tools. Traceback (most recent call last): File "/home/
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