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Skip test_export_to_onnx for LongT5 if torch < 1.11 (#19122)

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* Skip if torch < 1.11

* fix quality

* fix import

* fix typo

* fix condition

* fix condition

* fix condition

* fix quality

* fix condition

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
This commit is contained in:
Yih-Dar
2022-09-20 21:52:18 +02:00
committed by GitHub
parent 06f341de4f
commit 18643ff29a
1 changed files with 5 additions and 0 deletions
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5
tests/models/longt5/test_modeling_longt5.py
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@@ -39,6 +39,7 @@ if is_torch_available():
LongT5Model, LongT5Model,
) )
from transformers.models.longt5.modeling_longt5 import LONGT5_PRETRAINED_MODEL_ARCHIVE_LIST from transformers.models.longt5.modeling_longt5 import LONGT5_PRETRAINED_MODEL_ARCHIVE_LIST
from transformers.pytorch_utils import is_torch_less_than_1_11
class LongT5ModelTester: class LongT5ModelTester:
@@ -584,6 +585,10 @@ class LongT5ModelTest(ModelTesterMixin, GenerationTesterMixin, unittest.TestCase
model = LongT5Model.from_pretrained(model_name) model = LongT5Model.from_pretrained(model_name)
self.assertIsNotNone(model) self.assertIsNotNone(model)
@unittest.skipIf(
not is_torch_available() or is_torch_less_than_1_11,
"Test failed with torch < 1.11 with an exception in a C++ file.",
)
@slow @slow
def test_export_to_onnx(self): def test_export_to_onnx(self):
config_and_inputs = self.model_tester.prepare_config_and_inputs() config_and_inputs = self.model_tester.prepare_config_and_inputs()