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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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4
tests/models/esm/test_modeling_esm.py
View File

@@ -317,7 +317,7 @@ class EsmModelIntegrationTest(TestCasePlus):
expected_slice = torch.tensor(
[[[8.9215, -10.5898, -6.4671], [-6.3967, -13.9114, -1.1212], [-7.7812, -13.9516, -3.7406]]]
)
self.assertTrue(torch.allclose(output[:, :3, :3], expected_slice, atol=1e-4))
torch.testing.assert_close(output[:, :3, :3], expected_slice, rtol=1e-4, atol=1e-4)
def test_inference_no_head(self):
with torch.no_grad():
@@ -330,7 +330,7 @@ class EsmModelIntegrationTest(TestCasePlus):
expected_slice = torch.tensor(
[[[0.1444, 0.5413, 0.3248], [0.3034, 0.0053, 0.3108], [0.3228, -0.2499, 0.3415]]]
)
self.assertTrue(torch.allclose(output[:, :3, :3], expected_slice, atol=1e-4))
torch.testing.assert_close(output[:, :3, :3], expected_slice, rtol=1e-4, atol=1e-4)
@require_bitsandbytes
def test_inference_bitsandbytes(self):

2
tests/models/esm/test_modeling_esmfold.py
View File

@@ -282,4 +282,4 @@ class EsmModelIntegrationTest(TestCasePlus):
input_ids = torch.tensor([[0, 6, 4, 13, 5, 4, 16, 12, 11, 7, 2]])
position_outputs = model(input_ids)["positions"]
expected_slice = torch.tensor([2.5828, 0.7993, -10.9334], dtype=torch.float32)
self.assertTrue(torch.allclose(position_outputs[0, 0, 0, 0], expected_slice, atol=1e-4))
torch.testing.assert_close(position_outputs[0, 0, 0, 0], expected_slice, rtol=1e-4, atol=1e-4)