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Fix sentence fragment within test comments (#31218)

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This commit is contained in:
DomHudson
2024-06-04 10:09:24 +01:00
committed by GitHub
parent 83238eeebc
commit e83cf58145
7 changed files with 14 additions and 29 deletions
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6
tests/models/data2vec/test_modeling_data2vec_text.py
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@@ -474,8 +474,7 @@ class Data2VecTextModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTes
self.assertIsNotNone(model) self.assertIsNotNone(model)
def test_create_position_ids_respects_padding_index(self): def test_create_position_ids_respects_padding_index(self):
"""Ensure that the default position ids only assign a sequential . This is a regression """This is a regression test for https://github.com/huggingface/transformers/issues/1761
test for https://github.com/huggingface/transformers/issues/1761
The position ids should be masked with the embedding object's padding index. Therefore, the The position ids should be masked with the embedding object's padding index. Therefore, the
first available non-padding position index is Data2VecTextForTextEmbeddings.padding_idx + 1 first available non-padding position index is Data2VecTextForTextEmbeddings.padding_idx + 1
@@ -493,8 +492,7 @@ class Data2VecTextModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTes
self.assertTrue(torch.all(torch.eq(position_ids, expected_positions))) self.assertTrue(torch.all(torch.eq(position_ids, expected_positions)))
def test_create_position_ids_from_inputs_embeds(self): def test_create_position_ids_from_inputs_embeds(self):
"""Ensure that the default position ids only assign a sequential . This is a regression """This is a regression test for https://github.com/huggingface/transformers/issues/1761
test for https://github.com/huggingface/transformers/issues/1761
The position ids should be masked with the embedding object's padding index. Therefore, the The position ids should be masked with the embedding object's padding index. Therefore, the
first available non-padding position index is Data2VecTextForTextEmbeddings.padding_idx + 1 first available non-padding position index is Data2VecTextForTextEmbeddings.padding_idx + 1

6
tests/models/esm/test_modeling_esm.py
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@@ -246,8 +246,7 @@ class EsmModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
self.assertIsNotNone(model) self.assertIsNotNone(model)
def test_create_position_ids_respects_padding_index(self): def test_create_position_ids_respects_padding_index(self):
"""Ensure that the default position ids only assign a sequential . This is a regression """This is a regression test for https://github.com/huggingface/transformers/issues/1761
test for https://github.com/huggingface/transformers/issues/1761
The position ids should be masked with the embedding object's padding index. Therefore, the The position ids should be masked with the embedding object's padding index. Therefore, the
first available non-padding position index is EsmEmbeddings.padding_idx + 1 first available non-padding position index is EsmEmbeddings.padding_idx + 1
@@ -271,8 +270,7 @@ class EsmModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
self.assertTrue(torch.all(torch.eq(position_ids, expected_positions))) self.assertTrue(torch.all(torch.eq(position_ids, expected_positions)))
def test_create_position_ids_from_inputs_embeds(self): def test_create_position_ids_from_inputs_embeds(self):
"""Ensure that the default position ids only assign a sequential . This is a regression """This is a regression test for https://github.com/huggingface/transformers/issues/1761
test for https://github.com/huggingface/transformers/issues/1761
The position ids should be masked with the embedding object's padding index. Therefore, the The position ids should be masked with the embedding object's padding index. Therefore, the
first available non-padding position index is EsmEmbeddings.padding_idx + 1 first available non-padding position index is EsmEmbeddings.padding_idx + 1

7
tests/models/ibert/test_modeling_ibert.py
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@@ -296,8 +296,7 @@ class IBertModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
self.assertIsNotNone(model) self.assertIsNotNone(model)
def test_create_position_ids_respects_padding_index(self): def test_create_position_ids_respects_padding_index(self):
"""Ensure that the default position ids only assign a sequential . This is a regression """This is a regression test for https://github.com/huggingface/transformers/issues/1761
test for https://github.com/huggingface/transformers/issues/1761
The position ids should be masked with the embedding object's padding index. Therefore, the The position ids should be masked with the embedding object's padding index. Therefore, the
first available non-padding position index is IBertEmbeddings.padding_idx + 1 first available non-padding position index is IBertEmbeddings.padding_idx + 1
@@ -315,9 +314,7 @@ class IBertModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
self.assertTrue(torch.all(torch.eq(position_ids, expected_positions))) self.assertTrue(torch.all(torch.eq(position_ids, expected_positions)))
def test_create_position_ids_from_inputs_embeds(self): def test_create_position_ids_from_inputs_embeds(self):
"""Ensure that the default position ids only assign a sequential . This is a regression """This is a regression test for https://github.com/huggingface/transformers/issues/1761
test for https://github.com/huggingface/transformers/issues/1761
The position ids should be masked with the embedding object's padding index. Therefore, the The position ids should be masked with the embedding object's padding index. Therefore, the
first available non-padding position index is IBertEmbeddings.padding_idx + 1 first available non-padding position index is IBertEmbeddings.padding_idx + 1
""" """

6
tests/models/roberta/test_modeling_roberta.py
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@@ -481,8 +481,7 @@ class RobertaModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMi
self.assertIsNotNone(model) self.assertIsNotNone(model)
def test_create_position_ids_respects_padding_index(self): def test_create_position_ids_respects_padding_index(self):
"""Ensure that the default position ids only assign a sequential . This is a regression """This is a regression test for https://github.com/huggingface/transformers/issues/1761
test for https://github.com/huggingface/transformers/issues/1761
The position ids should be masked with the embedding object's padding index. Therefore, the The position ids should be masked with the embedding object's padding index. Therefore, the
first available non-padding position index is RobertaEmbeddings.padding_idx + 1 first available non-padding position index is RobertaEmbeddings.padding_idx + 1
@@ -500,8 +499,7 @@ class RobertaModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMi
self.assertTrue(torch.all(torch.eq(position_ids, expected_positions))) self.assertTrue(torch.all(torch.eq(position_ids, expected_positions)))
def test_create_position_ids_from_inputs_embeds(self): def test_create_position_ids_from_inputs_embeds(self):
"""Ensure that the default position ids only assign a sequential . This is a regression """This is a regression test for https://github.com/huggingface/transformers/issues/1761
test for https://github.com/huggingface/transformers/issues/1761
The position ids should be masked with the embedding object's padding index. Therefore, the The position ids should be masked with the embedding object's padding index. Therefore, the
first available non-padding position index is RobertaEmbeddings.padding_idx + 1 first available non-padding position index is RobertaEmbeddings.padding_idx + 1

6
tests/models/roberta_prelayernorm/test_modeling_roberta_prelayernorm.py
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@@ -488,8 +488,7 @@ class RobertaPreLayerNormModelTest(ModelTesterMixin, GenerationTesterMixin, Pipe
# Copied from tests.models.roberta.test_modeling_roberta.RobertaModelTest.test_create_position_ids_respects_padding_index with Roberta->RobertaPreLayerNorm # Copied from tests.models.roberta.test_modeling_roberta.RobertaModelTest.test_create_position_ids_respects_padding_index with Roberta->RobertaPreLayerNorm
def test_create_position_ids_respects_padding_index(self): def test_create_position_ids_respects_padding_index(self):
"""Ensure that the default position ids only assign a sequential . This is a regression """This is a regression test for https://github.com/huggingface/transformers/issues/1761
test for https://github.com/huggingface/transformers/issues/1761
The position ids should be masked with the embedding object's padding index. Therefore, the The position ids should be masked with the embedding object's padding index. Therefore, the
first available non-padding position index is RobertaPreLayerNormEmbeddings.padding_idx + 1 first available non-padding position index is RobertaPreLayerNormEmbeddings.padding_idx + 1
@@ -508,8 +507,7 @@ class RobertaPreLayerNormModelTest(ModelTesterMixin, GenerationTesterMixin, Pipe
# Copied from tests.models.roberta.test_modeling_roberta.RobertaModelTest.test_create_position_ids_from_inputs_embeds with Roberta->RobertaPreLayerNorm # Copied from tests.models.roberta.test_modeling_roberta.RobertaModelTest.test_create_position_ids_from_inputs_embeds with Roberta->RobertaPreLayerNorm
def test_create_position_ids_from_inputs_embeds(self): def test_create_position_ids_from_inputs_embeds(self):
"""Ensure that the default position ids only assign a sequential . This is a regression """This is a regression test for https://github.com/huggingface/transformers/issues/1761
test for https://github.com/huggingface/transformers/issues/1761
The position ids should be masked with the embedding object's padding index. Therefore, the The position ids should be masked with the embedding object's padding index. Therefore, the
first available non-padding position index is RobertaPreLayerNormEmbeddings.padding_idx + 1 first available non-padding position index is RobertaPreLayerNormEmbeddings.padding_idx + 1

6
tests/models/xlm_roberta_xl/test_modeling_xlm_roberta_xl.py
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@@ -475,8 +475,7 @@ class XLMRobertaXLModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTes
self.model_tester.create_and_check_for_question_answering(*config_and_inputs) self.model_tester.create_and_check_for_question_answering(*config_and_inputs)
def test_create_position_ids_respects_padding_index(self): def test_create_position_ids_respects_padding_index(self):
"""Ensure that the default position ids only assign a sequential . This is a regression """This is a regression test for https://github.com/huggingface/transformers/issues/1761
test for https://github.com/huggingface/transformers/issues/1761
The position ids should be masked with the embedding object's padding index. Therefore, the The position ids should be masked with the embedding object's padding index. Therefore, the
first available non-padding position index is XLMRobertaXLEmbeddings.padding_idx + 1 first available non-padding position index is XLMRobertaXLEmbeddings.padding_idx + 1
@@ -494,8 +493,7 @@ class XLMRobertaXLModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTes
self.assertTrue(torch.all(torch.eq(position_ids, expected_positions))) self.assertTrue(torch.all(torch.eq(position_ids, expected_positions)))
def test_create_position_ids_from_inputs_embeds(self): def test_create_position_ids_from_inputs_embeds(self):
"""Ensure that the default position ids only assign a sequential . This is a regression """This is a regression test for https://github.com/huggingface/transformers/issues/1761
test for https://github.com/huggingface/transformers/issues/1761
The position ids should be masked with the embedding object's padding index. Therefore, the The position ids should be masked with the embedding object's padding index. Therefore, the
first available non-padding position index is XLMRobertaXLEmbeddings.padding_idx + 1 first available non-padding position index is XLMRobertaXLEmbeddings.padding_idx + 1

6
tests/models/xmod/test_modeling_xmod.py
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@@ -472,8 +472,7 @@ class XmodModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMixin
self.model_tester.create_and_check_for_question_answering(*config_and_inputs) self.model_tester.create_and_check_for_question_answering(*config_and_inputs)
def test_create_position_ids_respects_padding_index(self): def test_create_position_ids_respects_padding_index(self):
"""Ensure that the default position ids only assign a sequential . This is a regression """This is a regression test for https://github.com/huggingface/transformers/issues/1761
test for https://github.com/huggingface/transformers/issues/1761
The position ids should be masked with the embedding object's padding index. Therefore, the The position ids should be masked with the embedding object's padding index. Therefore, the
first available non-padding position index is XmodEmbeddings.padding_idx + 1 first available non-padding position index is XmodEmbeddings.padding_idx + 1
@@ -491,8 +490,7 @@ class XmodModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMixin
self.assertTrue(torch.all(torch.eq(position_ids, expected_positions))) self.assertTrue(torch.all(torch.eq(position_ids, expected_positions)))
def test_create_position_ids_from_inputs_embeds(self): def test_create_position_ids_from_inputs_embeds(self):
"""Ensure that the default position ids only assign a sequential . This is a regression """This is a regression test for https://github.com/huggingface/transformers/issues/1761
test for https://github.com/huggingface/transformers/issues/1761
The position ids should be masked with the embedding object's padding index. Therefore, the The position ids should be masked with the embedding object's padding index. Therefore, the
first available non-padding position index is XmodEmbeddings.padding_idx + 1 first available non-padding position index is XmodEmbeddings.padding_idx + 1