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Fixed AMP error messages #3460

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Merged
merged 2 commits into from
Oct 14, 2025
Merged

Fixed AMP error messages #3460

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5709900
Fixed AMP error messages
vfdev-5 Oct 14, 2025
ecfbab3
Merge branch 'master' into fix-amp-msg-versions
vfdev-5 Oct 14, 2025
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4 changes: 2 additions & 2 deletions ignite/engine/__init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -185,7 +185,7 @@ def supervised_training_step_amp(
"""

try:
from torch.amp import autocast, GradScaler
from torch.amp import autocast
except ImportError:
raise ImportError("Please install torch>=1.12.0 to use amp_mode='amp'.")

Expand Down Expand Up @@ -412,7 +412,7 @@ def _check_arg(
try:
from torch.amp import GradScaler
except ImportError:
raise ImportError("Please install torch>=1.6.0 to use scaler argument.")
raise ImportError("Please install torch>=2.3.1 to use scaler argument.")
scaler = GradScaler(enabled=True)

if on_tpu:
Expand Down
6 changes: 3 additions & 3 deletions tests/ignite/engine/test_create_supervised.py
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Expand Up @@ -167,7 +167,7 @@ def _():
trainer.run(data)


@pytest.mark.skipif(Version(torch.__version__) < Version("1.12.0"), reason="Skip if < 1.12.0")
@pytest.mark.skipif(Version(torch.__version__) < Version("2.3.1"), reason="Skip if < 2.3.1")
def test_create_supervised_training_scalar_assignment():
with mock.patch("ignite.engine._check_arg") as check_arg_mock:
check_arg_mock.return_value = None, torch.amp.GradScaler(enabled=False)
Expand Down Expand Up @@ -456,11 +456,11 @@ def test_create_supervised_trainer_amp_error(mock_torch_cuda_amp_module):
_test_create_supervised_trainer_wrong_accumulation(trainer_device="cpu", amp_mode="amp")
with pytest.raises(ImportError, match="Please install torch>=1.12.0 to use amp_mode='amp'."):
_test_create_supervised_trainer(amp_mode="amp")
with pytest.raises(ImportError, match="Please install torch>=1.6.0 to use scaler argument."):
with pytest.raises(ImportError, match="Please install torch>=2.3.1 to use scaler argument."):
_test_create_supervised_trainer(amp_mode="amp", scaler=True)


@pytest.mark.skipif(Version(torch.__version__) < Version("1.12.0"), reason="Skip if < 1.12.0")
@pytest.mark.skipif(Version(torch.__version__) < Version("2.3.1"), reason="Skip if < 2.3.1")
def test_create_supervised_trainer_scaler_not_amp():
scaler = torch.amp.GradScaler(enabled=torch.cuda.is_available())

Expand Down
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