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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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8
tests/models/pixtral/test_image_processing_pixtral.py
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@@ -281,7 +281,9 @@ class PixtralImageProcessingTest(ImageProcessingTestMixin, unittest.TestCase):
encoding_slow = image_processor_slow(dummy_image, return_tensors="pt")
encoding_fast = image_processor_fast(dummy_image, return_tensors="pt")
self.assertTrue(torch.allclose(encoding_slow.pixel_values[0][0], encoding_fast.pixel_values[0][0], atol=1e-2))
torch.testing.assert_close(
encoding_slow.pixel_values[0][0], encoding_fast.pixel_values[0][0], rtol=1e-2, atol=1e-2
)
@slow
@require_torch_gpu
@@ -300,7 +302,9 @@ class PixtralImageProcessingTest(ImageProcessingTestMixin, unittest.TestCase):
image_processor = torch.compile(image_processor, mode="reduce-overhead")
output_compiled = image_processor(input_image, device=torch_device, return_tensors="pt")
self.assertTrue(torch.allclose(output_eager.pixel_values[0][0], output_compiled.pixel_values[0][0], atol=1e-4))
torch.testing.assert_close(
output_eager.pixel_values[0][0], output_compiled.pixel_values[0][0], rtol=1e-4, atol=1e-4
)
@unittest.skip(reason="PixtralImageProcessor doesn't treat 4 channel PIL and numpy consistently yet") # FIXME Amy
def test_call_numpy_4_channels(self):