to decode ensemble members in chunks

[kctezcan]

Description

When running diffusion inference with more than 1 member, we run into cudea OOM issues.

This patch deodes the ensembles in groups/chunks in a tradeoff of time vs memory.

Issue Number

No issue

Is this PR a draft? Mark it as draft.

Checklist before asking for review

• I have performed a self-review of my code
• My changes comply with basic sanity checks:
  • I have fixed formatting issues with ./scripts/actions.sh lint
  • I have run unit tests with ./scripts/actions.sh unit-test
  • I have documented my code and I have updated the docstrings.
  • I have added unit tests, if relevant
• I have tried my changes with data and code:
  • I have run the integration tests with ./scripts/actions.sh integration-test
  • (bigger changes) I have run a full training and I have written in the comment the run_id(s): launch-slurm.py --time 60
  • (bigger changes and experiments) I have shared a hegdedoc in the github issue with all the configurations and runs for this experiments
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[clessig]

@kctezcan : this seems related to this #2750 ?

[kctezcan]

@kctezcan : this seems related to this #2750 ?

I think Evens PR chunks the writing process, this PR is related to chunking the calculation of predictions from the latent representations. So these should be orthogonal as far as I see.

[clessig]

@kctezcan : this seems related to this #2750 ?

I think Evens PR chunks the writing process, this PR is related to chunking the calculation of predictions from the latent representations. So these should be orthogonal as far as I see.

Ok. We are working on merging the chunking along the forecast step dimension. This would have to come afterwards.