Training and Evaluation pipeline#105
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Sharkyii wants to merge 4 commits intoopenclimatefix:mainfrom
Sharkyii:feature/training-eval-pipeline
Closed
Training and Evaluation pipeline#105Sharkyii wants to merge 4 commits intoopenclimatefix:mainfrom Sharkyii:feature/training-eval-pipeline
Sharkyii wants to merge 4 commits intoopenclimatefix:mainfrom
Sharkyii:feature/training-eval-pipeline
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| "zarr==2.18.3", | ||
| "pvnet==4.1.19", | ||
| "ocf-data-sampler==0.2.32", | ||
| "ocf-data-sampler==0.2.10", |
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how come you had to move this down?
| # number_of_conv3d_layers: 6 | ||
| # conv3d_channels: 32 | ||
| # image_size_pixels: 24 | ||
| ukv: |
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how did you use ukv? I thought only gfs was accessible?
| "cpu", "--device", help="Device to run evaluation on ('cpu' or 'cuda')" | ||
| ), | ||
| quantiles: str = typer.Option( | ||
| "0.02,0.1,0.25,0.5,0.75,0.9,0.98", |
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Could you get this from the config?
| @@ -0,0 +1,183 @@ | |||
| import logging | |||
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does https://github.com/openclimatefix/open-data-pvnet/blob/main/run.py not already do this?
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Description
This PR introduces a stable, end-to-end training and evaluation pipeline for PVNet, currently validated on GSP-only data.
To simplify debugging and ensure pipeline stability during initial integration, the optimizer was intentionally switched from
EmbAdamWReduceLROnPlateauto a plainAdamW. This change reduces training complexity while validating data flow, model wiring, and configuration handling.The original optimizer and learning-rate scheduling will be reintroduced in a follow-up PR once the full multi-encoder setup is finalized.
At this stage:
Planned follow-ups:
EmbAdamWReduceLROnPlateauonce architecture and inputs are finalizedTwo reference documents have been added to explain the pipeline design and usage for future contributors.
Fixes #7
How Has This Been Tested?
If your changes affect data processing, have you plotted any changes?
Checklist