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

* 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

View File

@@ -231,11 +231,11 @@ class SegGptImageProcessingTest(ImageProcessingTestMixin, unittest.TestCase):
]
)
self.assertTrue(torch.allclose(inputs.pixel_values[0, :, :3, :3], expected_pixel_values, atol=1e-4))
self.assertTrue(
torch.allclose(inputs.prompt_pixel_values[0, :, :3, :3], expected_prompt_pixel_values, atol=1e-4)
torch.testing.assert_close(inputs.pixel_values[0, :, :3, :3], expected_pixel_values, rtol=1e-4, atol=1e-4)
torch.testing.assert_close(
inputs.prompt_pixel_values[0, :, :3, :3], expected_prompt_pixel_values, rtol=1e-4, atol=1e-4
)
self.assertTrue(torch.allclose(inputs.prompt_masks[0, :, :3, :3], expected_prompt_masks, atol=1e-4))
torch.testing.assert_close(inputs.prompt_masks[0, :, :3, :3], expected_prompt_masks, rtol=1e-4, atol=1e-4)
def test_prompt_mask_equivalence(self):
image_processor = self.image_processing_class(**self.image_processor_dict)