This commit is contained in:
ydshieh 2025-07-02 11:50:31 +02:00
parent 2ec3fdcf2a
commit e23c242848

View File

@ -474,11 +474,6 @@ class Mask2FormerModelIntegrationTest(unittest.TestCase):
rtol=TOLERANCE,
)
expected_slice_hidden_state = torch.tensor(
[
]
).to(torch_device)
expectations = Expectations(
{
(None, None): [
@ -519,23 +514,40 @@ class Mask2FormerModelIntegrationTest(unittest.TestCase):
self.assertEqual(
masks_queries_logits.shape, (1, model.config.num_queries, inputs_shape[-2] // 4, inputs_shape[-1] // 4)
)
expected_slice = [
[-8.7809, -9.0041, -8.8087],
[-7.4075, -7.0307, -6.5385],
[-6.6088, -6.3417, -6.4627],
]
expected_slice = torch.tensor(expected_slice).to(torch_device)
expectations = Expectations(
{
(None, None): [
[-8.7839, -9.0056, -8.8121],
[-7.4104, -7.0313, -6.5401],
[-6.6105, -6.3427, -6.4675],
],
("cuda", 8): [
[-8.7809, -9.0041, -8.8087],
[-7.4075, -7.0307, -6.5385],
[-6.6088, -6.3417, -6.4627],
],
}
)
expected_slice = torch.tensor(expectations.get_expectation()).to(torch_device)
torch.testing.assert_close(masks_queries_logits[0, 0, :3, :3], expected_slice, rtol=TOLERANCE, atol=TOLERANCE)
# class_queries_logits
class_queries_logits = outputs.class_queries_logits
self.assertEqual(class_queries_logits.shape, (1, model.config.num_queries, model.config.num_labels + 1))
expected_slice = torch.tensor(
[
[1.8326, -8.0834, -4.1916],
[0.8446, -9.0048, -3.6048],
[0.3042, -7.7296, -3.0277],
]
).to(torch_device)
expectations = Expectations(
{
(None, None): [
[1.8324, -8.0835, -4.1922],
[0.8450, -9.0050, -3.6053],
[0.3045, -7.7293, -3.0275],
],
("cuda", 8): [
[1.8326, -8.0834, -4.1916],
[0.8446, -9.0048, -3.6048],
[0.3042, -7.7296, -3.0277],
],
}
)
expected_slice = torch.tensor(expectations.get_expectation()).to(torch_device)
torch.testing.assert_close(
outputs.class_queries_logits[0, :3, :3], expected_slice, rtol=TOLERANCE, atol=TOLERANCE
)