SUMIN/HuggingFace_transformer
1
0
Fork 0
Code Issues Pull Requests Actions 7 Packages Projects Releases Wiki Activity

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

Browse Source 
* 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
Download Patch File Download Diff File Expand all files Collapse all files

4
tests/models/swin2sr/test_modeling_swin2sr.py
View File

@@ -332,7 +332,7 @@ class Swin2SRModelIntegrationTest(unittest.TestCase):
expected_slice = torch.tensor(
[[0.5458, 0.5546, 0.5638], [0.5526, 0.5565, 0.5651], [0.5396, 0.5426, 0.5621]]
).to(torch_device)
self.assertTrue(torch.allclose(outputs.reconstruction[0, 0, :3, :3], expected_slice, atol=1e-4))
torch.testing.assert_close(outputs.reconstruction[0, 0, :3, :3], expected_slice, rtol=1e-4, atol=1e-4)
def test_inference_fp16(self):
processor = Swin2SRImageProcessor()
@@ -353,4 +353,4 @@ class Swin2SRModelIntegrationTest(unittest.TestCase):
expected_slice = torch.tensor(
[[0.5454, 0.5542, 0.5640], [0.5518, 0.5562, 0.5649], [0.5391, 0.5425, 0.5620]], dtype=model.dtype
).to(torch_device)
self.assertTrue(torch.allclose(outputs.reconstruction[0, 0, :3, :3], expected_slice, atol=1e-4))
torch.testing.assert_close(outputs.reconstruction[0, 0, :3, :3], expected_slice, rtol=1e-4, atol=1e-4)