noether.core.types

Attributes

Classes

CheckpointKeys

Defines the standard, possible keys in the checkpoint dict.

Module Contents

noether.core.types.InitWeightsMode
noether.core.types.ActivationTypes
class noether.core.types.CheckpointKeys

Defines the standard, possible keys in the checkpoint dict.

STATE_DICT = 'state_dict'

The pytorch state dict of the model. I.e. the model weights/tensors/buffers.

CHECKPOINT_TAG = 'checkpoint_tag'

The checkpoint tag, e.g., “E10_U200_S800” or “latest”.

TRAINING_ITERATION = 'training_iteration'

The detailed information about training iteration as a dict with keys ‘epoch’, ‘update’, and ‘sample’.

RUN_ID = 'run_id'

The ID of the run from which this checkpoint was created.

MODEL_CONFIG = 'model_config'

The model configuration used to instantiate the model. A serialized dict of the pydantic model config.

CONFIG_KIND = 'config_kind'

The kind (i.e., class path) of the model configuration. Used to instantiate the correct model configuration.

CALLBACK_STATE_DICT = 'callback_state_dict'

The state dicts of the callbacks.

GRAD_SCALER = 'grad_scaler'

The state dict of the grad scaler (if used).