FinalEvaluator

class FinalEvaluator(test_last=False)

Bases: HookBase

Run the configured tester once after training, usually on model_best.

On after_train (and only when cfg.evaluate is true), builds the tester named by cfg.test.type from the TESTERS registry and runs its full test() pass. By default it loads model_best.pth (the best checkpoint selected during training) into the tester before testing; set test_last=True to instead test the in-memory model_last weights. This hook computes no metric of its own and does not set the checkpoint-selection comm_info keys — it delegates all metric computation to the tester. Registered as FinalEvaluator (use as type in a hooks=[...] entry).

Parameters:

test_last (bool) – Test the current model_last weights instead of loading model_best.pth. Defaults to False.

Note

Runs exactly once, after training exits. When test_last is False the best checkpoint is loaded with strict=True, so the tester model architecture must match the saved state dict.

Example

Add to cfg.hooks; once in after_train it runs the configured tester on the best checkpoint:

hooks = [dict(type="FinalEvaluator", test_last=False)]
# → after training, builds cfg.test.type from the TESTERS registry,
#   loads <save_path>/model/model_best.pth (strict=True) into it, and
#   runs tester.test(); computes no metric of its own

after_train()

Build the tester and execute final evaluation after training exits.