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12 changes: 8 additions & 4 deletions tests/ignite/metrics/test_cohen_kappa.py
Original file line number Diff line number Diff line change
Expand Up @@ -85,9 +85,11 @@ def test_data_binary(request):

@pytest.mark.parametrize("n_times", range(5))
@pytest.mark.parametrize("weights", [None, "linear", "quadratic"])
def test_binary_input(n_times, weights, test_data_binary):
def test_binary_input(n_times, weights, test_data_binary, available_device):
y_pred, y, batch_size = test_data_binary
ck = CohenKappa(weights)
ck = CohenKappa(weights=weights, device=available_device)
assert ck._device == torch.device(available_device)

ck.reset()
if batch_size > 1:
n_iters = y.shape[0] // batch_size + 1
Expand Down Expand Up @@ -135,7 +137,7 @@ def test_data_integration_binary(request):

@pytest.mark.parametrize("n_times", range(5))
@pytest.mark.parametrize("weights", [None, "linear", "quadratic"])
def test_integration_binary_input(n_times, weights, test_data_integration_binary):
def test_integration_binary_input(n_times, weights, test_data_integration_binary, available_device):
y_pred, y, batch_size = test_data_integration_binary

def update_fn(engine, batch):
Expand All @@ -146,7 +148,9 @@ def update_fn(engine, batch):

engine = Engine(update_fn)

ck_metric = CohenKappa(weights=weights)
ck_metric = CohenKappa(weights=weights, device=available_device)
assert ck_metric._device == torch.device(available_device)

ck_metric.attach(engine, "ck")

np_y = y.numpy()
Expand Down
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