Qwen2.5-VL test fixes for ROCm (#40308)
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@@ -28,6 +28,7 @@ from transformers import (
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is_vision_available,
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)
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from transformers.testing_utils import (
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Expectations,
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cleanup,
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is_flaky,
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require_cv2,
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@@ -592,10 +593,24 @@ class Qwen2_5_VLIntegrationTest(unittest.TestCase):
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# it should not matter whether two images are the same size or not
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output = model.generate(**inputs, max_new_tokens=30)
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EXPECTED_DECODED_TEXT = [
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"system\nYou are a helpful assistant.\nuser\nWhat kind of dog is this?\nassistant\nThe dog in the picture appears to be a Labrador Retriever. Labradors are known for their friendly and energetic nature, which is evident in",
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"system\nYou are a helpful assistant.\nuser\nWhat kind of dog is this?\nassistant\n addCriterion\nThe dog in the picture appears to be a Labrador Retriever. Labradors are known for their friendly and gentle nature, which is",
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]
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EXPECTED_DECODED_TEXTS = Expectations(
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{
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(None, None): [
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"system\nYou are a helpful assistant.\nuser\nWhat kind of dog is this?\nassistant\nThe dog in the picture appears to be a Labrador Retriever. Labradors are known for their friendly and energetic nature, which is evident in",
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"system\nYou are a helpful assistant.\nuser\nWhat kind of dog is this?\nassistant\n addCriterion\nThe dog in the picture appears to be a Labrador Retriever. Labradors are known for their friendly and gentle nature, which is",
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],
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("cuda", None): [
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'system\nYou are a helpful assistant.\nuser\nWhat kind of dog is this?\nassistant\nThe dog in the picture appears to be a Labrador Retriever. Labradors are known for their friendly and energetic nature, which is evident in',
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'system\nYou are a helpful assistant.\nuser\nWhat kind of dog is this?\nassistant\n addCriterion\n addCriterion\n\n addCriterion\n\n addCriterion\n\n addCriterion\n\n\n addCriterion\n\n addCriterion\n\n addCriterion\n',
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],
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("rocm", None): [
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'system\nYou are a helpful assistant.\nuser\nWhat kind of dog is this?\nassistant\nThe dog in the picture appears to be a Labrador Retriever. Labradors are known for their friendly and energetic nature, which is evident in',
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'system\nYou are a helpful assistant.\nuser\nWhat kind of dog is this?\nassistant\n addCriterion\n addCriterion\n\n addCriterion\n\n addCriterion\n\n addCriterion\n\n\n addCriterion\n\n addCriterion\n\n addCriterion\n'
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],
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}
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) # fmt: skip
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EXPECTED_DECODED_TEXT = EXPECTED_DECODED_TEXTS.get_expectation()
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self.assertEqual(
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self.processor.batch_decode(output, skip_special_tokens=True),
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