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adds available_device to test_hsic.py #3335 #3361

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Mar 27, 2025
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10 changes: 6 additions & 4 deletions tests/ignite/metrics/test_hsic.py
Original file line number Diff line number Diff line change
Expand Up @@ -87,10 +87,11 @@ def test_case(request) -> Tuple[Tensor, Tensor, int]:
@pytest.mark.parametrize("n_times", range(3))
@pytest.mark.parametrize("sigma_x", [-1.0, 1.0])
@pytest.mark.parametrize("sigma_y", [-1.0, 1.0])
def test_compute(n_times, sigma_x: float, sigma_y: float, test_case: Tuple[Tensor, Tensor, int]):
def test_compute(n_times, sigma_x: float, sigma_y: float, test_case: Tuple[Tensor, Tensor, int], available_device):
x, y, batch_size = test_case

hsic = HSIC(sigma_x=sigma_x, sigma_y=sigma_y)
hsic = HSIC(sigma_x=sigma_x, sigma_y=sigma_y, device=available_device)
assert hsic._device == torch.device(available_device)

hsic.reset()

Expand All @@ -109,8 +110,9 @@ def test_compute(n_times, sigma_x: float, sigma_y: float, test_case: Tuple[Tenso
assert pytest.approx(expected_hsic, abs=2e-5) == hsic.compute()


def test_accumulator_detached():
hsic = HSIC()
def test_accumulator_detached(available_device):
hsic = HSIC(device=available_device)
assert hsic._device == torch.device(available_device)

x = torch.rand(10, 10, dtype=torch.float)
y = torch.rand(10, 10, dtype=torch.float)
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