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Add TF prefix to TF-Res test class (#18481)

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Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
This commit is contained in:
Yih-Dar
2022-08-05 13:59:55 +02:00
committed by GitHub
parent bf174f916b
commit 893122f666
1 changed files with 4 additions and 4 deletions
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8
tests/models/resnet/test_modeling_tf_resnet.py
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@@ -41,7 +41,7 @@ if is_vision_available():
from transformers import AutoFeatureExtractor
class ResNetModelTester:
class TFResNetModelTester:
def __init__(
self,
parent,
@@ -116,7 +116,7 @@ class ResNetModelTester:
@require_tf
class ResNetModelTest(TFModelTesterMixin, unittest.TestCase):
class TFResNetModelTest(TFModelTesterMixin, unittest.TestCase):
"""
Here we also overwrite some of the tests of test_modeling_common.py, as ResNet does not use input_ids, inputs_embeds,
attention_mask and seq_length.
@@ -131,7 +131,7 @@ class ResNetModelTest(TFModelTesterMixin, unittest.TestCase):
has_attentions = False
def setUp(self):
self.model_tester = ResNetModelTester(self)
self.model_tester = TFResNetModelTester(self)
self.config_tester = ConfigTester(self, config_class=ResNetConfig, has_text_modality=False)
def test_config(self):
@@ -223,7 +223,7 @@ def prepare_img():
@require_tf
@require_vision
class ResNetModelIntegrationTest(unittest.TestCase):
class TFResNetModelIntegrationTest(unittest.TestCase):
@cached_property
def default_feature_extractor(self):
return (