Fix sentence fragment within test comments (#31218)
This commit is contained in:
@@ -474,8 +474,7 @@ class Data2VecTextModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTes
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self.assertIsNotNone(model)
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def test_create_position_ids_respects_padding_index(self):
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"""Ensure that the default position ids only assign a sequential . This is a regression
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test for https://github.com/huggingface/transformers/issues/1761
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"""This is a regression test for https://github.com/huggingface/transformers/issues/1761
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The position ids should be masked with the embedding object's padding index. Therefore, the
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first available non-padding position index is Data2VecTextForTextEmbeddings.padding_idx + 1
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@@ -493,8 +492,7 @@ class Data2VecTextModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTes
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self.assertTrue(torch.all(torch.eq(position_ids, expected_positions)))
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def test_create_position_ids_from_inputs_embeds(self):
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"""Ensure that the default position ids only assign a sequential . This is a regression
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test for https://github.com/huggingface/transformers/issues/1761
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"""This is a regression test for https://github.com/huggingface/transformers/issues/1761
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The position ids should be masked with the embedding object's padding index. Therefore, the
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first available non-padding position index is Data2VecTextForTextEmbeddings.padding_idx + 1
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@@ -246,8 +246,7 @@ class EsmModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
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self.assertIsNotNone(model)
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def test_create_position_ids_respects_padding_index(self):
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"""Ensure that the default position ids only assign a sequential . This is a regression
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test for https://github.com/huggingface/transformers/issues/1761
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"""This is a regression test for https://github.com/huggingface/transformers/issues/1761
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The position ids should be masked with the embedding object's padding index. Therefore, the
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first available non-padding position index is EsmEmbeddings.padding_idx + 1
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@@ -271,8 +270,7 @@ class EsmModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
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self.assertTrue(torch.all(torch.eq(position_ids, expected_positions)))
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def test_create_position_ids_from_inputs_embeds(self):
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"""Ensure that the default position ids only assign a sequential . This is a regression
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test for https://github.com/huggingface/transformers/issues/1761
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"""This is a regression test for https://github.com/huggingface/transformers/issues/1761
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The position ids should be masked with the embedding object's padding index. Therefore, the
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first available non-padding position index is EsmEmbeddings.padding_idx + 1
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@@ -296,8 +296,7 @@ class IBertModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
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self.assertIsNotNone(model)
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def test_create_position_ids_respects_padding_index(self):
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"""Ensure that the default position ids only assign a sequential . This is a regression
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test for https://github.com/huggingface/transformers/issues/1761
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"""This is a regression test for https://github.com/huggingface/transformers/issues/1761
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The position ids should be masked with the embedding object's padding index. Therefore, the
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first available non-padding position index is IBertEmbeddings.padding_idx + 1
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@@ -315,9 +314,7 @@ class IBertModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
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self.assertTrue(torch.all(torch.eq(position_ids, expected_positions)))
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def test_create_position_ids_from_inputs_embeds(self):
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"""Ensure that the default position ids only assign a sequential . This is a regression
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test for https://github.com/huggingface/transformers/issues/1761
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"""This is a regression test for https://github.com/huggingface/transformers/issues/1761
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The position ids should be masked with the embedding object's padding index. Therefore, the
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first available non-padding position index is IBertEmbeddings.padding_idx + 1
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"""
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@@ -481,8 +481,7 @@ class RobertaModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMi
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self.assertIsNotNone(model)
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def test_create_position_ids_respects_padding_index(self):
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"""Ensure that the default position ids only assign a sequential . This is a regression
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test for https://github.com/huggingface/transformers/issues/1761
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"""This is a regression test for https://github.com/huggingface/transformers/issues/1761
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The position ids should be masked with the embedding object's padding index. Therefore, the
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first available non-padding position index is RobertaEmbeddings.padding_idx + 1
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@@ -500,8 +499,7 @@ class RobertaModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMi
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self.assertTrue(torch.all(torch.eq(position_ids, expected_positions)))
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def test_create_position_ids_from_inputs_embeds(self):
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"""Ensure that the default position ids only assign a sequential . This is a regression
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test for https://github.com/huggingface/transformers/issues/1761
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"""This is a regression test for https://github.com/huggingface/transformers/issues/1761
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The position ids should be masked with the embedding object's padding index. Therefore, the
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first available non-padding position index is RobertaEmbeddings.padding_idx + 1
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@@ -488,8 +488,7 @@ class RobertaPreLayerNormModelTest(ModelTesterMixin, GenerationTesterMixin, Pipe
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# Copied from tests.models.roberta.test_modeling_roberta.RobertaModelTest.test_create_position_ids_respects_padding_index with Roberta->RobertaPreLayerNorm
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def test_create_position_ids_respects_padding_index(self):
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"""Ensure that the default position ids only assign a sequential . This is a regression
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test for https://github.com/huggingface/transformers/issues/1761
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"""This is a regression test for https://github.com/huggingface/transformers/issues/1761
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The position ids should be masked with the embedding object's padding index. Therefore, the
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first available non-padding position index is RobertaPreLayerNormEmbeddings.padding_idx + 1
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@@ -508,8 +507,7 @@ class RobertaPreLayerNormModelTest(ModelTesterMixin, GenerationTesterMixin, Pipe
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# Copied from tests.models.roberta.test_modeling_roberta.RobertaModelTest.test_create_position_ids_from_inputs_embeds with Roberta->RobertaPreLayerNorm
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def test_create_position_ids_from_inputs_embeds(self):
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"""Ensure that the default position ids only assign a sequential . This is a regression
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test for https://github.com/huggingface/transformers/issues/1761
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"""This is a regression test for https://github.com/huggingface/transformers/issues/1761
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The position ids should be masked with the embedding object's padding index. Therefore, the
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first available non-padding position index is RobertaPreLayerNormEmbeddings.padding_idx + 1
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@@ -475,8 +475,7 @@ class XLMRobertaXLModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTes
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self.model_tester.create_and_check_for_question_answering(*config_and_inputs)
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def test_create_position_ids_respects_padding_index(self):
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"""Ensure that the default position ids only assign a sequential . This is a regression
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test for https://github.com/huggingface/transformers/issues/1761
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"""This is a regression test for https://github.com/huggingface/transformers/issues/1761
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The position ids should be masked with the embedding object's padding index. Therefore, the
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first available non-padding position index is XLMRobertaXLEmbeddings.padding_idx + 1
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@@ -494,8 +493,7 @@ class XLMRobertaXLModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTes
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self.assertTrue(torch.all(torch.eq(position_ids, expected_positions)))
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def test_create_position_ids_from_inputs_embeds(self):
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"""Ensure that the default position ids only assign a sequential . This is a regression
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test for https://github.com/huggingface/transformers/issues/1761
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"""This is a regression test for https://github.com/huggingface/transformers/issues/1761
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The position ids should be masked with the embedding object's padding index. Therefore, the
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first available non-padding position index is XLMRobertaXLEmbeddings.padding_idx + 1
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@@ -472,8 +472,7 @@ class XmodModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMixin
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self.model_tester.create_and_check_for_question_answering(*config_and_inputs)
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def test_create_position_ids_respects_padding_index(self):
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"""Ensure that the default position ids only assign a sequential . This is a regression
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test for https://github.com/huggingface/transformers/issues/1761
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"""This is a regression test for https://github.com/huggingface/transformers/issues/1761
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The position ids should be masked with the embedding object's padding index. Therefore, the
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first available non-padding position index is XmodEmbeddings.padding_idx + 1
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@@ -491,8 +490,7 @@ class XmodModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMixin
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self.assertTrue(torch.all(torch.eq(position_ids, expected_positions)))
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def test_create_position_ids_from_inputs_embeds(self):
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"""Ensure that the default position ids only assign a sequential . This is a regression
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test for https://github.com/huggingface/transformers/issues/1761
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"""This is a regression test for https://github.com/huggingface/transformers/issues/1761
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The position ids should be masked with the embedding object's padding index. Therefore, the
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first available non-padding position index is XmodEmbeddings.padding_idx + 1
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