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Skip wav2vec2 hubert high mem tests (#21643)

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* Skip high memory tests

* Skip high memory tests

* Remove unused import
This commit is contained in:
amyeroberts
2023-02-15 14:17:26 +00:00
committed by GitHub
parent e3d832ff87
commit fc28c006a6
2 changed files with 12 additions and 21 deletions
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17
tests/models/wav2vec2/test_modeling_tf_wav2vec2.py
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@@ -385,20 +385,15 @@ class TFWav2Vec2ModelTest(TFModelTesterMixin, unittest.TestCase):
model = TFWav2Vec2Model.from_pretrained("facebook/wav2vec2-base-960h")
self.assertIsNotNone(model)
# We override here as passing a full batch of 13 samples results in OOM errors for CTC
@unittest.skip("Fix me!")
@unittest.skip(reason="Fix me! Wav2Vec2 hits OOM errors when loss is computed on full batch")
def test_dataset_conversion(self):
default_batch_size = self.model_tester.batch_size
self.model_tester.batch_size = 2
super().test_dataset_conversion()
self.model_tester.batch_size = default_batch_size
# TODO: (Amy) - check whether skipping CTC model resolves this issue and possible resolutions for CTC
pass
# We override here as passing a full batch of 13 samples results in OOM errors for CTC
@unittest.skip(reason="Fix me! Wav2Vec2 hits OOM errors when loss is computed on full batch")
def test_keras_fit(self):
default_batch_size = self.model_tester.batch_size
self.model_tester.batch_size = 2
super().test_keras_fit()
self.model_tester.batch_size = default_batch_size
# TODO: (Amy) - check whether skipping CTC model resolves this issue and possible resolutions for CTC
pass
@require_tf