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Run tests if skip condition not met (#18764)

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* Run tests if skip condition not met

* Update comment - remove outdated ref to TF 2.8
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amyeroberts 2022-08-30 13:03:28 +01:00 committed by GitHub
parent de8548ebf3
commit ef91a2d135
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3 changed files with 7 additions and 7 deletions
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6
tests/models/convnext/test_modeling_tf_convnext.py
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@ -145,10 +145,10 @@ class TFConvNextModelTest(TFModelTesterMixin, unittest.TestCase):
@unittest.skipIf(
not is_tf_available() or len(tf.config.list_physical_devices("GPU")) == 0,
reason="TF (<=2.8) does not support backprop for grouped convolutions on CPU.",
reason="TF does not support backprop for grouped convolutions on CPU.",
)
def test_keras_fit(self):
pass
super().test_keras_fit()
@unittest.skip(reason="ConvNext does not support input and output embeddings")
def test_model_common_attributes(self):
@ -176,7 +176,7 @@ class TFConvNextModelTest(TFModelTesterMixin, unittest.TestCase):
@unittest.skipIf(
not is_tf_available() or len(tf.config.list_physical_devices("GPU")) == 0,
reason="TF (<=2.8) does not support backprop for grouped convolutions on CPU.",
reason="TF does not support backprop for grouped convolutions on CPU.",
)
def test_dataset_conversion(self):
super().test_dataset_conversion()

4
tests/models/regnet/test_modeling_tf_regnet.py
View File

@ -138,10 +138,10 @@ class TFRegNetModelTest(TFModelTesterMixin, unittest.TestCase):
@unittest.skipIf(
not is_tf_available() or len(tf.config.list_physical_devices("GPU")) == 0,
reason="TF (<=2.8) does not support backprop for grouped convolutions on CPU.",
reason="TF does not support backprop for grouped convolutions on CPU.",
)
def test_keras_fit(self):
pass
super().test_keras_fit()
@unittest.skip(reason="RegNet does not support input and output embeddings")
def test_model_common_attributes(self):

4
tests/models/segformer/test_modeling_tf_segformer.py
View File

@ -332,7 +332,7 @@ class TFSegformerModelTest(TFModelTesterMixin, unittest.TestCase):
@unittest.skipIf(
not is_tf_available() or len(tf.config.list_physical_devices("GPU")) == 0,
reason="TF (<=2.8) does not support backprop for grouped convolutions on CPU.",
reason="TF does not support backprop for grouped convolutions on CPU.",
)
def test_dataset_conversion(self):
super().test_dataset_conversion()
@ -342,7 +342,7 @@ class TFSegformerModelTest(TFModelTesterMixin, unittest.TestCase):
@unittest.skipIf(
not is_tf_available() or len(tf.config.list_physical_devices("GPU")) == 0,
reason="TF (<=2.8) does not support backprop for grouped convolutions on CPU.",
reason="TF does not support backprop for grouped convolutions on CPU.",
)
def test_keras_fit(self):
config, _ = self.model_tester.prepare_config_and_inputs_for_common()