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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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6
tests/models/zoedepth/test_modeling_zoedepth.py
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@@ -301,8 +301,8 @@ class ZoeDepthModelIntegrationTest(unittest.TestCase):
out_l_reduced = torch.nn.functional.interpolate(
out_l.unsqueeze(0).unsqueeze(1), size=img.size[::-1], mode="bicubic", align_corners=False
)
self.assertTrue((np.array(out_l.shape)[::-1] == np.array(img.size) * 2).all())
torch.testing.assert_close(out, out_l_reduced, rtol=2e-2)
out_l_reduced = out_l_reduced.squeeze(0).squeeze(0)
torch.testing.assert_close(out, out_l_reduced, rtol=2e-2, atol=2e-2)
def check_post_processing_test(self, image_processor, images, model, pad_input=True, flip_aug=True):
inputs = image_processor(images=images, return_tensors="pt", do_pad=pad_input).to(torch_device)
@@ -324,7 +324,7 @@ class ZoeDepthModelIntegrationTest(unittest.TestCase):
for img, out, expected_slice in zip(images, outputs, expected_slices):
out = out["predicted_depth"]
self.assertTrue(img.size == out.shape[::-1])
torch.testing.assert_close(expected_slice, out[:3, :3], atol=1e-3, rtol=1e-3)
torch.testing.assert_close(expected_slice, out[:3, :3], rtol=1e-3, atol=1e-3)
self.check_target_size(image_processor, pad_input, images, outputs, raw_outputs, raw_outputs_flipped)