Use real tokenizers if tiny version(s) creation has issue(s) (#22428)
Fix some tiny model creation issues Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
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@@ -268,6 +268,15 @@ class BigBirdPegasusModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineT
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# Also torchscript is not an important feature to have in the beginning.
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test_torchscript = False
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# TODO: Fix the failed tests
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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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):
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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 False
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# overwrite from GenerationTesterMixin to solve problem
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# with conflicting random seeds
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def _get_input_ids_and_config(self):
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@@ -387,6 +387,15 @@ class XLMRobertaXLModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTes
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else {}
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)
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# TODO: Fix the failed tests
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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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):
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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 False
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def setUp(self):
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self.model_tester = XLMRobertaXLModelTester(self)
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self.config_tester = ConfigTester(self, config_class=XLMRobertaXLConfig, hidden_size=37)
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@@ -384,6 +384,15 @@ class XmodModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMixin
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else {}
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)
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# TODO: Fix the failed tests
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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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):
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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 False
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def setUp(self):
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self.model_tester = XmodModelTester(self)
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self.config_tester = ConfigTester(self, config_class=XmodConfig, hidden_size=37)
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