Fix past CI by skipping LevitModelTest.test_problem_types (#20859)

* Fix past CI

* Fix past CI

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
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Yih-Dar 2022-12-21 14:29:13 +01:00 committed by GitHub
parent 04c560225b
commit 3090e70857
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@ -20,6 +20,8 @@ import unittest
import warnings
from math import ceil, floor
from packaging import version
from transformers import LevitConfig
from transformers.file_utils import cached_property, is_torch_available, is_vision_available
from transformers.models.auto import get_values
@ -335,6 +337,11 @@ class LevitModelTest(ModelTesterMixin, unittest.TestCase):
loss.backward()
def test_problem_types(self):
parsed_torch_version_base = version.parse(version.parse(torch.__version__).base_version)
if parsed_torch_version_base.base_version.startswith("1.9"):
self.skipTest(reason="This test fails with PyTorch 1.9.x: some CUDA issue")
config, inputs_dict = self.model_tester.prepare_config_and_inputs_for_common()
problem_types = [