SUMIN/HuggingFace_transformer
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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/utils/test_activations.py
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@@ -29,7 +29,7 @@ class TestActivations(unittest.TestCase):
def test_gelu_versions(self):
x = torch.tensor([-100, -1, -0.1, 0, 0.1, 1.0, 100])
torch_builtin = get_activation("gelu")
self.assertTrue(torch.allclose(gelu_python(x), torch_builtin(x)))
torch.testing.assert_close(gelu_python(x), torch_builtin(x))
self.assertFalse(torch.allclose(gelu_python(x), gelu_new(x)))
def test_gelu_10(self):
@@ -43,7 +43,7 @@ class TestActivations(unittest.TestCase):
clipped_mask = torch.where(y_gelu_10 < 10.0, 1, 0)
self.assertTrue(torch.max(y_gelu_10).item() == 10.0)
self.assertTrue(torch.allclose(y_gelu * clipped_mask, y_gelu_10 * clipped_mask))
torch.testing.assert_close(y_gelu * clipped_mask, y_gelu_10 * clipped_mask)
def test_get_activation(self):
get_activation("gelu")