SUMIN/HuggingFace_transformer
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use torch.testing.assertclose instead to get more details about error in cis (#35659)

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* use torch.testing.assertclose instead to get more details about error in cis

* fix

* style

* test_all

* revert for I bert

* fixes and updates

* more image processing fixes

* more image processors

* fix mamba and co

* style

* less strick

* ok I won't be strict

* skip and be done

* up
This commit is contained in:
Arthur
2025-01-24 16:55:28 +01:00
committed by GitHub
parent 72d1a4cd53
commit b912f5ee43
255 changed files with 1048 additions and 969 deletions
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6
tests/models/x_clip/test_modeling_x_clip.py
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@@ -737,7 +737,7 @@ class XCLIPModelIntegrationTest(unittest.TestCase):
expected_logits = torch.tensor([[14.0181, 20.2771, 14.4776]], device=torch_device)
self.assertTrue(torch.allclose(outputs.logits_per_video, expected_logits, atol=1e-3))
torch.testing.assert_close(outputs.logits_per_video, expected_logits, rtol=1e-3, atol=1e-3)
@slow
def test_inference_interpolate_pos_encoding(self):
@@ -771,6 +771,6 @@ class XCLIPModelIntegrationTest(unittest.TestCase):
[[0.0126, 0.2109, 0.0609], [0.0448, 0.5862, -0.1688], [-0.0881, 0.8525, -0.3044]]
).to(torch_device)
self.assertTrue(
torch.allclose(outputs.vision_model_output.last_hidden_state[0, :3, :3], expected_slice, atol=1e-4)
torch.testing.assert_close(
outputs.vision_model_output.last_hidden_state[0, :3, :3], expected_slice, rtol=1e-4, atol=1e-4
)