Remove some pipeline skip cases (#22865)
fix Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
This commit is contained in:
@@ -303,7 +303,7 @@ class FNetModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
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def is_pipeline_test_to_skip(
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def is_pipeline_test_to_skip(
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self, pipeline_test_casse_name, config_class, model_architecture, tokenizer_name, processor_name
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self, pipeline_test_casse_name, config_class, model_architecture, tokenizer_name, processor_name
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):
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):
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if pipeline_test_casse_name == "QAPipelineTests":
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if pipeline_test_casse_name == "QAPipelineTests" and not tokenizer_name.endswith("Fast"):
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return True
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return True
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return False
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return False
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@@ -257,8 +257,7 @@ class MBartModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMixi
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def is_pipeline_test_to_skip(
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def is_pipeline_test_to_skip(
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self, pipeline_test_casse_name, config_class, model_architecture, tokenizer_name, processor_name
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self, pipeline_test_casse_name, config_class, model_architecture, tokenizer_name, processor_name
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):
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):
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if pipeline_test_casse_name != "FeatureExtractionPipelineTests":
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if pipeline_test_casse_name == "QAPipelineTests" and not tokenizer_name.endswith("Fast"):
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# IndexError: index out of range in self
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return True
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return True
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return False
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return False
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@@ -546,8 +546,10 @@ class XLNetModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMixi
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def is_pipeline_test_to_skip(
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def is_pipeline_test_to_skip(
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self, pipeline_test_casse_name, config_class, model_architecture, tokenizer_name, processor_name
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self, pipeline_test_casse_name, config_class, model_architecture, tokenizer_name, processor_name
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):
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):
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# IndexError: index out of range in self
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if pipeline_test_casse_name == "QAPipelineTests" and not tokenizer_name.endswith("Fast"):
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return True
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return True
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return False
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# XLNet has 2 QA models -> need to manually set the correct labels for one of them here
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# XLNet has 2 QA models -> need to manually set the correct labels for one of them here
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def _prepare_for_class(self, inputs_dict, model_class, return_labels=False):
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def _prepare_for_class(self, inputs_dict, model_class, return_labels=False):
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