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Separate grad scaler test out from test_app_state_mixin #425

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Separate grad scaler test out from test_app_state_mixin #425

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21 changes: 18 additions & 3 deletions tests/framework/test_auto_unit.py
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Original file line number Diff line number Diff line change
Expand Up @@ -56,18 +56,33 @@ def test_app_state_mixin(self) -> None:

auto_unit = DummyAutoUnit(
module=my_module,
precision="fp16",
)

self.assertEqual(auto_unit.tracked_modules()["module"], my_module)
for key in ("module", "optimizer", "lr_scheduler"):
self.assertIn(key, auto_unit.app_state())

@unittest.skipUnless(
condition=cuda_available, reason="This test needs a GPU host to run."
)
def test_app_state_mixin_grad_scaler(self) -> None:
"""
Test that grad_scaler is added to the AutoUnit tracked_misc_statefuls when using fp16 precision
"""
my_module = torch.nn.Linear(2, 2)

auto_unit = DummyAutoUnit(
module=my_module,
precision="fp16",
)

self.assertTrue(
isinstance(
auto_unit.tracked_misc_statefuls()["grad_scaler"],
torch.cuda.amp.GradScaler,
)
)
for key in ("module", "optimizer", "lr_scheduler", "grad_scaler"):
self.assertIn(key, auto_unit.app_state())
self.assertIn("grad_scaler", auto_unit.app_state())

def test_lr_scheduler_step(self) -> None:
"""
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