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unblock legacy checkpoints (#15798) 

* fixing legacy checkpoints
* Apply suggestions from code review

Co-authored-by: Akihiro Nitta <nitta@akihironitta.com>
This commit is contained in:
Jirka Borovec 2022-12-02 07:50:51 +01:00 committed by GitHub
parent 993bd67f96
commit fee52f931f
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2 changed files with 6 additions and 6 deletions
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4
tests/legacy/simple_classif_training.py
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@ -42,8 +42,8 @@ def main_train(dir_path, max_epochs: int = 20):
model = ClassificationModel()
trainer.fit(model, datamodule=dm)
res = trainer.test(model, datamodule=dm)
assert res[0]["test_loss"] <= 0.7
assert res[0]["test_acc"] >= 0.85
assert res[0]["test_loss"] <= 0.85, str(res[0]["test_loss"])
assert res[0]["test_acc"] >= 0.7, str(res[0]["test_acc"])
assert trainer.current_epoch < (max_epochs - 1)

8
tests/tests_pytorch/checkpointing/test_legacy_checkpoints.py
View File

@ -47,8 +47,8 @@ def test_load_legacy_checkpoints(tmpdir, pl_version: str):
trainer = Trainer(default_root_dir=str(tmpdir))
dm = ClassifDataModule(num_features=24, length=6000, batch_size=128, n_clusters_per_class=2, n_informative=8)
res = trainer.test(model, datamodule=dm)
assert res[0]["test_loss"] <= 0.7
assert res[0]["test_acc"] >= 0.85
assert res[0]["test_loss"] <= 0.85, str(res[0]["test_loss"])
assert res[0]["test_acc"] >= 0.7, str(res[0]["test_acc"])
print(res)
@ -111,5 +111,5 @@ def test_resume_legacy_checkpoints(tmpdir, pl_version: str):
torch.backends.cudnn.deterministic = True
trainer.fit(model, datamodule=dm, ckpt_path=path_ckpt)
res = trainer.test(model, datamodule=dm)
assert res[0]["test_loss"] <= 0.7
assert res[0]["test_acc"] >= 0.85
assert res[0]["test_loss"] <= 0.85, str(res[0]["test_loss"])
assert res[0]["test_acc"] >= 0.7, str(res[0]["test_acc"])