Add decorator for flaky Donut tests (#20739)

* Add decorator for flaky tests

* Fix up
This commit is contained in:
amyeroberts
2022-12-12 18:25:27 +00:00
committed by GitHub
parent a450789d9a
commit 1416b5d9d8

View File

@@ -18,7 +18,7 @@ import unittest
import numpy as np
from transformers.testing_utils import require_torch, require_vision
from transformers.testing_utils import is_flaky, require_torch, require_vision
from transformers.utils import is_torch_available, is_vision_available
from ...test_feature_extraction_common import FeatureExtractionSavingTestMixin, prepare_image_inputs
@@ -106,6 +106,7 @@ class DonutFeatureExtractionTest(FeatureExtractionSavingTestMixin, unittest.Test
def test_batch_feature(self):
pass
@is_flaky
def test_call_pil(self):
# Initialize feature_extractor
feature_extractor = self.feature_extraction_class(**self.feat_extract_dict)
@@ -138,6 +139,7 @@ class DonutFeatureExtractionTest(FeatureExtractionSavingTestMixin, unittest.Test
),
)
@is_flaky
def test_call_numpy(self):
# Initialize feature_extractor
feature_extractor = self.feature_extraction_class(**self.feat_extract_dict)
@@ -170,6 +172,7 @@ class DonutFeatureExtractionTest(FeatureExtractionSavingTestMixin, unittest.Test
),
)
@is_flaky
def test_call_pytorch(self):
# Initialize feature_extractor
feature_extractor = self.feature_extraction_class(**self.feat_extract_dict)