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unblock legacy checkpoints #15798

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merged 10 commits into from
Dec 2, 2022
Merged

unblock legacy checkpoints #15798

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75b41ba
fixing legacy checkpoints
Borda Nov 23, 2022
8a412fb
Apply suggestions from code review
Borda Nov 24, 2022
7fb762d
Merge branch 'master' into ci/legacy-chpt
Borda Nov 24, 2022
ccc4bce
Merge branch 'master' into ci/legacy-chpt
Borda Nov 28, 2022
fc1601e
Merge branch 'master' into ci/legacy-chpt
Borda Nov 28, 2022
0d0c6c0
lr
Borda Nov 28, 2022
6468bd4
Merge branch 'master' into ci/legacy-chpt
Borda Nov 29, 2022
3a797d5
Merge branch 'master' into ci/legacy-chpt
Borda Nov 30, 2022
cfbe092
Merge branch 'master' into ci/legacy-chpt
akihironitta Dec 1, 2022
5ea7f3a
Apply suggestions from code review
Borda Dec 2, 2022
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4 changes: 2 additions & 2 deletions tests/legacy/simple_classif_training.py
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Original file line number Diff line number Diff line change
Expand Up @@ -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)


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8 changes: 4 additions & 4 deletions tests/tests_pytorch/checkpointing/test_legacy_checkpoints.py
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Expand Up @@ -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)


Expand Down Expand Up @@ -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"])