def str_to_step(self, s: str, pretrain: bool = False) -> Step:
dataset_hparams = self.pretrain_dataset_hparams if pretrain else self.dataset_hparams
iterations_per_epoch = datasets_registry.iterations_per_epoch(
dataset_hparams)
return Step.from_str(s, iterations_per_epoch)
def end_step(self):
iterations_per_epoch = datasets_registry.iterations_per_epoch(self.dataset_hparams)
return Step.from_str(self.training_hparams.training_steps, iterations_per_epoch)
def test_iterations_per_epoch(self):
self.assertEqual(registry.iterations_per_epoch(self.dataset_hparams), 1000)
self.dataset_hparams.subsample_fraction = 0.1
self.assertEqual(registry.iterations_per_epoch(self.dataset_hparams), 100)
def str_to_step(self, s: str) -> Step:
return Step.from_str(s, datasets_registry.iterations_per_epoch(self.dataset_hparams))
