@@ -885,7 +885,7 @@ class BartModelIntegrationTests(unittest.TestCase):
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expected_shape = torch.Size((1, 11, 1024))
|
expected_shape = torch.Size((1, 11, 1024))
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self.assertEqual(output.shape, expected_shape)
|
self.assertEqual(output.shape, expected_shape)
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expected_slice = torch.tensor(
|
expected_slice = torch.tensor(
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[[0.7144, 0.8143, -1.2813], [0.7144, 0.8143, -1.2813], [-0.0467, 2.5911, -2.1845]], device=torch_device
|
[[[0.7144, 0.8143, -1.2813], [0.7144, 0.8143, -1.2813], [-0.0467, 2.5911, -2.1845]]], device=torch_device
|
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)
|
)
|
||||||
torch.testing.assert_close(output[:, :3, :3], expected_slice, rtol=1e-3, atol=1e-3)
|
torch.testing.assert_close(output[:, :3, :3], expected_slice, rtol=1e-3, atol=1e-3)
|
||||||
|
|
||||||
|
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@@ -4532,6 +4532,8 @@ class ModelTesterMixin:
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config.max_position_embeddings = max_new_tokens + dummy_input.shape[1] + 1
|
config.max_position_embeddings = max_new_tokens + dummy_input.shape[1] + 1
|
||||||
|
|
||||||
model = model_class(config)
|
model = model_class(config)
|
||||||
|
if "position_ids" not in inspect.signature(model.forward).parameters:
|
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|
self.skipTest("Model does not support position_ids")
|
||||||
|
|
||||||
with tempfile.TemporaryDirectory() as tmpdirname:
|
with tempfile.TemporaryDirectory() as tmpdirname:
|
||||||
model.save_pretrained(tmpdirname)
|
model.save_pretrained(tmpdirname)
|
||||||
|
|||||||
Reference in New Issue
Block a user