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adds available_device to test_js_divergence.py #3335 #3362

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Merged
merged 3 commits into from
Mar 27, 2025
Merged

adds available_device to test_js_divergence.py #3335 #3362

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6596c4a
adds available_device to test_js_divergence.py #3335
BanzaiTokyo Mar 27, 2025
7b3f7ed
Merge branch 'master' into test_js_divergence_available_device
vfdev-5 Mar 27, 2025
18e5e39
Merge branch 'master' into test_js_divergence_available_device
vfdev-5 Mar 27, 2025
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10 changes: 6 additions & 4 deletions tests/ignite/metrics/test_js_divergence.py
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Original file line number Diff line number Diff line change
Expand Up @@ -60,10 +60,11 @@ def test_case(request):


@pytest.mark.parametrize("n_times", range(5))
def test_compute(n_times, test_case: Tuple[Tensor, Tensor, int]):
def test_compute(n_times, test_case: Tuple[Tensor, Tensor, int], available_device):
y_pred, y, batch_size = test_case

js_div = JSDivergence()
js_div = JSDivergence(device=available_device)
assert js_div._device == torch.device(available_device)

js_div.reset()
if batch_size > 1:
Expand All @@ -85,8 +86,9 @@ def test_compute(n_times, test_case: Tuple[Tensor, Tensor, int]):
assert pytest.approx(np_res, rel=1e-4) == res


def test_accumulator_detached():
js_div = JSDivergence()
def test_accumulator_detached(available_device):
js_div = JSDivergence(device=available_device)
assert js_div._device == torch.device(available_device)

y_pred = torch.tensor([[2.0, 3.0], [-2.0, 1.0]], dtype=torch.float)
y = torch.tensor([[-2.0, 1.0], [2.0, 3.0]], dtype=torch.float)
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