Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

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

IterBasedTrainLoop — mmengine 0.10.7 documentation

class mmengine.runner.IterBasedTrainLoop(runner, dataloader, max_iters, val_begin=1, val_interval=1000, dynamic_intervals=None)[source]¶

Loop for iter-based training.

Parameters:

• runner (Runner) – A reference of runner.

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

• max_iters (int) – Total training iterations.

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

• val_interval (int) – Validation interval. Defaults to 1000.

• 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:

None

run_iter(data_batch)[source]¶

Iterate one mini-batch.

Parameters:

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

Return type:

None

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4