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Fix tests for vision models (#35654)

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* Trigger tests

* [run-slow] beit, detr, dinov2, vit, textnet

* Fix BEiT interpolate_pos_encoding

* Fix DETR test

* Update DINOv2 test

* Fix textnet

* Fix vit

* Fix DPT

* fix data2vec test

* Fix textnet test

* Update interpolation check

* Fix ZoeDepth tests

* Update interpolate embeddings for BEiT

* Apply suggestions from code review
This commit is contained in:
Pavel Iakubovskii
2025-02-13 10:28:37 +00:00
committed by GitHub
parent e60ae0d078
commit d419862889
9 changed files with 55 additions and 79 deletions
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4
tests/models/dinov2/test_modeling_dinov2.py
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@@ -329,10 +329,10 @@ class Dinov2ModelIntegrationTest(unittest.TestCase):
self.assertEqual(outputs.last_hidden_state.shape, expected_shape)
expected_slice = torch.tensor(
[[-2.1747, -0.4729, 1.0936], [-3.2780, -0.8269, -0.9210], [-2.9129, 1.1284, -0.7306]],
[[-2.2005, -0.4495, 1.0964], [-3.3959, -0.8942, -1.0315], [-2.9355, 1.1564, -0.7656]],
device=torch_device,
)
torch.testing.assert_close(outputs.last_hidden_state[0, :3, :3], expected_slice, rtol=1e-4, atol=1e-4)
torch.testing.assert_close(outputs.last_hidden_state[0, :3, :3], expected_slice, rtol=1e-3, atol=1e-3)
@require_torch