Index _ | A | B | C | F | L | M | N | R | S | T | U _ __init__() (aurora.Aurora method) (aurora.foundry.client.foundry.FoundryClient method) (aurora.foundry.common.channel.BlobStorageChannel method) A adapt_checkpoint_max_history_size() (aurora.Aurora method) Aurora (class in aurora) AuroraFineTuned (class in aurora.foundry.common.model) AuroraHighRes (in module aurora) AuroraModelWrapper() (in module aurora.foundry.server.mlflow_wrapper) AuroraSmall (class in aurora.foundry.common.model) (in module aurora) B Batch (class in aurora) BlobStorageChannel (class in aurora.foundry.common.channel) C configure_activation_checkpointing() (aurora.Aurora method) crop() (aurora.Batch method) F forward() (aurora.Aurora method) FoundryClient (class in aurora.foundry.client.foundry) from_netcdf() (aurora.Batch class method) L load_checkpoint() (aurora.Aurora method) load_checkpoint_local() (aurora.Aurora method) M Metadata (class in aurora) N name (aurora.foundry.common.model.AuroraFineTuned attribute) (aurora.foundry.common.model.AuroraSmall attribute) normalise() (aurora.Batch method) R regrid() (aurora.Batch method) rollout (class in aurora) S spatial_shape (aurora.Batch property) submit() (in module aurora.foundry.client.api) T to() (aurora.Batch method) to_netcdf() (aurora.Batch method) type() (aurora.Batch method) U unnormalise() (aurora.Batch method)
