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Pipeline testing - using tiny models on Hub (#20426)

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* rework pipeline tests

* run pipeline tests

* fix

* fix

* fix

* revert the changes in get_test_pipeline() parameter list

* fix expected error message

* skip a test

* clean up

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
This commit is contained in:
Yih-Dar
2023-01-30 10:39:43 +01:00
committed by GitHub
parent a582cfce3c
commit c749bd405e
26 changed files with 286 additions and 274 deletions
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6
tests/pipelines/test_pipelines_image_segmentation.py
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@@ -81,10 +81,8 @@ class ImageSegmentationPipelineTests(unittest.TestCase, metaclass=PipelineTestCa
+ (MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING.items() if MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING else [])
}
def get_test_pipeline(self, model, tokenizer, feature_extractor, image_processor):
image_segmenter = ImageSegmentationPipeline(
model=model, feature_extractor=feature_extractor, image_processor=image_processor
)
def get_test_pipeline(self, model, tokenizer, processor):
image_segmenter = ImageSegmentationPipeline(model=model, image_processor=processor)
return image_segmenter, [
"./tests/fixtures/tests_samples/COCO/000000039769.png",
"./tests/fixtures/tests_samples/COCO/000000039769.png",