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Add assertions in tests for conversion. #53

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Merged
hzhangxyz merged 1 commit into from
Aug 10, 2025
Merged

Add assertions in tests for conversion. #53

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17 changes: 13 additions & 4 deletions tests/conversion_test.py
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Original file line number Diff line number Diff line change
Expand Up @@ -6,7 +6,7 @@

@pytest.fixture()
def x() -> GrassmannTensor:
return GrassmannTensor((False, False), ((2, 2), (1, 3)), torch.randn([4, 4]))
return GrassmannTensor((False, False), ((2, 2), (1, 3)), torch.randn([4, 4], device="cpu:0"))


@pytest.mark.parametrize("dtype_arg", ["position", "keyword", "none"])
Expand All @@ -21,7 +21,8 @@ def test_conversion(
args: list[typing.Any] = []
kwargs: dict[str, typing.Any] = {}

device = torch.device("cpu") if device_format == "object" else "cpu"
device_str = "cuda:0" if torch.cuda.is_available() else "cpu:0"
device = torch.device(device_str) if device_format == "object" else device_str
match device_arg:
case "position":
args.append(device)
Expand All @@ -38,8 +39,16 @@ def test_conversion(
case _:
pass

if len(args) <= 1:
y = x.to(*args, **kwargs)
if len(args) > 1:
pytest.skip("Cannot pass both dtype and device as positional arguments")

y = x.to(*args, **kwargs)
assert isinstance(y, GrassmannTensor)
assert y.arrow == x.arrow
assert y.edges == x.edges
assert y.tensor.dtype == torch.complex128 if dtype_arg != "none" else torch.float32
assert y.tensor.device.type == (torch.device(device_str) if device_arg != "none" else torch.device("cpu:0")).type
assert torch.allclose(y.tensor, x.tensor.to(dtype=y.tensor.dtype, device=y.tensor.device))


def test_conversion_duplicated_value(x: GrassmannTensor) -> None:
Expand Down