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DavidDiazGuerra avatar DavidDiazGuerra commented on August 24, 2024 3

Hi again,

The problem disappeared after downgrading Lightning to 1.9.4. I guess there are some changes in the 2.0 version that breaks the X-UMX training routine of Asteroid.

Best,
David

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mpariente avatar mpariente commented on August 24, 2024 2

I'm not sure this code has an easy backward compatible fix. So we should

  • First change requirements to limit lightning to 1.x versions, and release asteroid 0.6.1,
  • Then fix the issue and upgrade to pytorch-lightning>=2.0.0 with asteroid 0.7.0.

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LeonieBorne avatar LeonieBorne commented on August 24, 2024

Hello 👋

I had the same problem, it seems that the function definition is def lr_scheduler_step(self, scheduler, metric) in version 2.0 instead of def lr_scheduler_step(self, scheduler, optimizer_idx, metric) in previous versions (see the custom learning rate schedulers documentation here).

@mpariente Should we change this and update the requirements to pytorch-lightning>=2.0.0?

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DavidDiazGuerra avatar DavidDiazGuerra commented on August 24, 2024

I'm closing this issue since it has been fixed with #682 and the release 0.7.0.

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