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Fix naming issue with ImageToText pipeline (#18864)

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Co-authored-by: Olivier Dehaene <olivier@huggingface.co>
This commit is contained in:
OlivierDehaene
2022-09-02 13:55:30 +02:00
committed by GitHub
parent 9b3eb81014
commit 129d73294e
5 changed files with 18 additions and 19 deletions
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12
tests/pipelines/test_pipelines_image2text_generation.py → tests/pipelines/test_pipelines_image_to_text.py
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@@ -33,12 +33,12 @@ else:
@is_pipeline_test
@require_vision
class Image2TextGenerationPipelineTests(unittest.TestCase, metaclass=PipelineTestCaseMeta):
class ImageToTextPipelineTests(unittest.TestCase, metaclass=PipelineTestCaseMeta):
model_mapping = MODEL_FOR_VISION_2_SEQ_MAPPING
tf_model_mapping = TF_MODEL_FOR_VISION_2_SEQ_MAPPING
def get_test_pipeline(self, model, tokenizer, feature_extractor):
pipe = pipeline("image2text-generation", model=model, tokenizer=tokenizer, feature_extractor=feature_extractor)
pipe = pipeline("image-to-text", model=model, tokenizer=tokenizer, feature_extractor=feature_extractor)
examples = [
Image.open("./tests/fixtures/tests_samples/COCO/000000039769.png"),
"./tests/fixtures/tests_samples/COCO/000000039769.png",
@@ -57,7 +57,7 @@ class Image2TextGenerationPipelineTests(unittest.TestCase, metaclass=PipelineTes
@require_tf
def test_small_model_tf(self):
pipe = pipeline("image2text-generation", model="hf-internal-testing/tiny-random-vit-gpt2")
pipe = pipeline("image-to-text", model="hf-internal-testing/tiny-random-vit-gpt2")
image = "./tests/fixtures/tests_samples/COCO/000000039769.png"
outputs = pipe(image)
@@ -104,7 +104,7 @@ class Image2TextGenerationPipelineTests(unittest.TestCase, metaclass=PipelineTes
@require_torch
def test_small_model_pt(self):
pipe = pipeline("image2text-generation", model="hf-internal-testing/tiny-random-vit-gpt2")
pipe = pipeline("image-to-text", model="hf-internal-testing/tiny-random-vit-gpt2")
image = "./tests/fixtures/tests_samples/COCO/000000039769.png"
outputs = pipe(image)
@@ -137,7 +137,7 @@ class Image2TextGenerationPipelineTests(unittest.TestCase, metaclass=PipelineTes
@slow
@require_torch
def test_large_model_pt(self):
pipe = pipeline("image2text-generation", model="ydshieh/vit-gpt2-coco-en")
pipe = pipeline("image-to-text", model="ydshieh/vit-gpt2-coco-en")
image = "./tests/fixtures/tests_samples/COCO/000000039769.png"
outputs = pipe(image)
@@ -155,7 +155,7 @@ class Image2TextGenerationPipelineTests(unittest.TestCase, metaclass=PipelineTes
@slow
@require_tf
def test_large_model_tf(self):
pipe = pipeline("image2text-generation", model="ydshieh/vit-gpt2-coco-en")
pipe = pipeline("image-to-text", model="ydshieh/vit-gpt2-coco-en")
image = "./tests/fixtures/tests_samples/COCO/000000039769.png"
outputs = pipe(image)