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Showing content from https://mmengine.readthedocs.io/en/latest/api/generated/mmengine.runner.EpochBasedTrainLoop.html below:

EpochBasedTrainLoop — mmengine 0.10.7 documentation

class mmengine.runner.EpochBasedTrainLoop(runner, dataloader, max_epochs, val_begin=1, val_interval=1, dynamic_intervals=None)[source]¶

Loop for epoch-based training.

Parameters:

• runner (Runner) – A reference of runner.

• dataloader (Dataloader or dict) – A dataloader object or a dict to build a dataloader.

• max_epochs (int) – Total training epochs.

• val_begin (int) – The epoch that begins validating. Defaults to 1.

• val_interval (int) – Validation interval. Defaults to 1.

• dynamic_intervals (List[Tuple[int, int]], optional) – The first element in the tuple is a milestone and the second element is a interval. The interval is used after the corresponding milestone. Defaults to None.

property epoch¶

Current epoch.

Type:

int

property iter¶

Current iteration.

Type:

int

property max_epochs¶

Total epochs to train model.

Type:

int

property max_iters¶

Total iterations to train model.

Type:

int

run()[source]¶

Launch training.

Return type:

Module

run_epoch()[source]¶

Iterate one epoch.

Return type:

None

run_iter(idx, data_batch)[source]¶

Iterate one min-batch.

Parameters:

data_batch (Sequence[dict]) – Batch of data from dataloader.

Return type:

None

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