Fix typos in strings and comments (#37799)

This commit is contained in:
co63oc
2025-04-28 18:39:11 +08:00
committed by GitHub
parent f466603963
commit d5fa7d2d19
136 changed files with 202 additions and 202 deletions

View File

@@ -34,7 +34,7 @@ class MT5IntegrationTest(unittest.TestCase):
@slow
def test_small_integration_test(self):
"""
For comparision run:
For comparison run:
>>> import t5 # pip install t5==0.7.1
>>> from t5.data.sentencepiece_vocabulary import SentencePieceVocabulary

View File

@@ -853,7 +853,7 @@ class MT5ModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMixin,
config_and_inputs = self.model_tester.prepare_config_and_inputs()
self.model_tester.create_and_check_encoder_decoder_shared_weights(*config_and_inputs)
@unittest.skipIf(torch_device == "cpu", "Cant do half precision")
@unittest.skipIf(torch_device == "cpu", "Can't do half precision")
def test_model_fp16_forward(self):
config_and_inputs = self.model_tester.prepare_config_and_inputs()
self.model_tester.create_and_check_model_fp16_forward(*config_and_inputs)
@@ -1063,7 +1063,7 @@ class MT5EncoderOnlyModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.Te
config_and_inputs = self.model_tester.prepare_config_and_inputs()
self.model_tester.create_and_check_model(*config_and_inputs)
@unittest.skipIf(torch_device == "cpu", "Cant do half precision")
@unittest.skipIf(torch_device == "cpu", "Can't do half precision")
def test_model_fp16_forward(self):
config_and_inputs = self.model_tester.prepare_config_and_inputs()
self.model_tester.create_and_check_model_fp16_forward(*config_and_inputs)
@@ -1100,7 +1100,7 @@ class MT5IntegrationTest(unittest.TestCase):
@slow
def test_small_integration_test(self):
"""
For comparision run:
For comparison run:
>>> import t5 # pip install t5==0.7.1
>>> from t5.data.sentencepiece_vocabulary import SentencePieceVocabulary

View File

@@ -33,7 +33,7 @@ class TFMT5ModelIntegrationTest(unittest.TestCase):
@slow
def test_small_integration_test(self):
"""
For comparision run:
For comparison run:
>>> import t5 # pip install t5==0.7.1
>>> from t5.data.sentencepiece_vocabulary import SentencePieceVocabulary