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python train_model.py\ | ||
--dataset global_era5\ | ||
--model graph_efm\ | ||
--n_workers 16\ | ||
--n_example_pred 0\ | ||
--eval_leads 40\ | ||
--hidden_dim 256\ | ||
--prior_processor_layers 1\ | ||
--encoder_processor_layers 1\ | ||
--processor_layers 1\ | ||
--graph global_hierarchical\ | ||
--batch_size 1\ | ||
--ensemble_size 80\ | ||
--load paper_checkpoints/graph_efm.ckpt\ | ||
--eval test\ |
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Original file line number | Diff line number | Diff line change |
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python train_model.py\ | ||
--dataset global_era5\ | ||
--model graph_efm\ | ||
--n_workers 16\ | ||
--n_example_pred 0\ | ||
--eval_leads 40\ | ||
--hidden_dim 256\ | ||
--prior_processor_layers 2\ | ||
--encoder_processor_layers 4\ | ||
--processor_layers 4\ | ||
--graph global_multiscale\ | ||
--batch_size 1\ | ||
--ensemble_size 80\ | ||
--load paper_checkpoints/graph_efm_ms.ckpt\ | ||
--eval test\ |
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python train_model.py\ | ||
--dataset global_era5\ | ||
--model graph_fm\ | ||
--n_workers 16\ | ||
--n_example_pred 0\ | ||
--eval_leads 40\ | ||
--hidden_dim 256\ | ||
--processor_layers 4\ | ||
--vertical_propnets 1\ | ||
--batch_size 1\ | ||
--graph global_hierarchical\ | ||
--load paper_checkpoints/graph_fm.ckpt\ | ||
--eval test\ |
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python train_model.py\ | ||
--dataset global_era5\ | ||
--model graphcast\ | ||
--n_workers 16\ | ||
--n_example_pred 0\ | ||
--eval_leads 40\ | ||
--hidden_dim 256\ | ||
--processor_layers 8\ | ||
--batch_size 1\ | ||
--graph global_multiscale\ | ||
--load paper_checkpoints/graphcast.ckpt\ | ||
--eval test\ |