Skip a tapas (tokenization) test in past CI (#24378)
fix Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
This commit is contained in:
@@ -22,7 +22,7 @@ from typing import List
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import numpy as np
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import numpy as np
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import pandas as pd
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import pandas as pd
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from transformers import AddedToken
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from transformers import AddedToken, is_torch_available
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from transformers.models.tapas.tokenization_tapas import (
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from transformers.models.tapas.tokenization_tapas import (
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VOCAB_FILES_NAMES,
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VOCAB_FILES_NAMES,
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BasicTokenizer,
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BasicTokenizer,
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@@ -44,6 +44,12 @@ from transformers.testing_utils import (
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from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english, merge_model_tokenizer_mappings
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from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english, merge_model_tokenizer_mappings
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if is_torch_available():
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from transformers.pytorch_utils import is_torch_greater_or_equal_than_1_12
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else:
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is_torch_greater_or_equal_than_1_12 = False
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@require_tokenizers
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@require_tokenizers
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@require_pandas
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@require_pandas
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class TapasTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
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class TapasTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
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@@ -1026,6 +1032,7 @@ class TapasTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
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# Do the same test as modeling common.
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# Do the same test as modeling common.
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self.assertIn(0, output["token_type_ids"][0])
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self.assertIn(0, output["token_type_ids"][0])
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@unittest.skipIf(not is_torch_greater_or_equal_than_1_12, reason="Tapas is only available in torch v1.12+")
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@require_torch
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@require_torch
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@slow
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@slow
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def test_torch_encode_plus_sent_to_model(self):
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def test_torch_encode_plus_sent_to_model(self):
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