DocumentQuestionAnsweringPipeline only for fast tokenizers (#22745)

* fix

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
This commit is contained in:
Yih-Dar
2023-04-13 17:22:59 +02:00
committed by GitHub
parent 4def2fe969
commit 32b08742a5
4 changed files with 18 additions and 22 deletions

View File

@@ -295,15 +295,10 @@ class LayoutLMv2ModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCa
# `LayoutLMv2Config` was never used in pipeline tests (`test_pt_LayoutLMv2Config_XXX`) due to lack of tiny
# config. With new tiny model creation, it is available, but we need to fix the failed tests.
return True
elif (
pipeline_test_casse_name == "DocumentQuestionAnsweringPipelineTests"
and tokenizer_name is not None
and not tokenizer_name.endswith("Fast")
):
# This pipeline uses `sequence_ids()` which is only available for fast tokenizers.
return True
return False
return super().is_pipeline_test_to_skip(
pipeline_test_casse_name, config_class, model_architecture, tokenizer_name, processor_name
)
def setUp(self):
self.model_tester = LayoutLMv2ModelTester(self)