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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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9
tests/test_image_processing_common.py
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@@ -181,10 +181,7 @@ class ImageProcessingTestMixin:
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, encoding_fast.pixel_values, atol=1e-1))
self.assertLessEqual(
torch.mean(torch.abs(encoding_slow.pixel_values - encoding_fast.pixel_values)).item(), 1e-3
)
torch.testing.assert_close(encoding_slow.pixel_values, encoding_fast.pixel_values, rtol=1e-1, atol=1e-2)
@require_vision
@require_torch
@@ -493,7 +490,7 @@ class ImageProcessingTestMixin:
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, output_compiled.pixel_values, atol=1e-4))
torch.testing.assert_close(output_eager.pixel_values, output_compiled.pixel_values, rtol=1e-4, atol=1e-4)
class AnnotationFormatTestMixin:
@@ -549,7 +546,7 @@ class AnnotationFormatTestMixin:
for idx in range(len(a)):
_compare(a[idx], b[idx])
elif isinstance(a, torch.Tensor):
self.assertTrue(torch.allclose(a, b, atol=1e-3))
torch.testing.assert_close(a, b, rtol=1e-3, atol=1e-3)
elif isinstance(a, str):
self.assertEqual(a, b)