Expectation fixes and added AMD expectations (#38729)
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@@ -341,7 +341,11 @@ class LlavaForConditionalGenerationIntegrationTest(unittest.TestCase):
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inputs = self.processor(images=raw_image, text=prompt, return_tensors="pt").to(torch_device)
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output = model.generate(**inputs, max_new_tokens=20)
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EXPECTED_DECODED_TEXT = "\nUSER: What are the things I should be cautious about when I visit this place?\nASSISTANT: When visiting this place, there are a few things one should be cautious about. Firstly," # fmt: skip
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expected_decoded_texts = Expectations({
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("cuda", None): "\nUSER: What are the things I should be cautious about when I visit this place?\nASSISTANT: When visiting this place, there are a few things one should be cautious about. Firstly,",
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("rocm", (9, 5)): "\nUSER: What are the things I should be cautious about when I visit this place?\nASSISTANT: When visiting this place, there are a few things one should be cautious about. First, the",
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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.decode(output[0], skip_special_tokens=True),
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@@ -397,12 +401,28 @@ class LlavaForConditionalGenerationIntegrationTest(unittest.TestCase):
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output = model.generate(**inputs, max_new_tokens=20)
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EXPECTED_DECODED_TEXT = ['USER: \nWhat are the things I should be cautious about when I visit this place? What should I bring with me? ASSISTANT: When visiting this place, which is a pier or dock extending over a body of water, you', 'USER: \nWhat is this? ASSISTANT: The image features two cats lying down on a pink couch. One cat is located on'] # fmt: skip
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self.assertEqual(
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processor.batch_decode(output, skip_special_tokens=True),
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EXPECTED_DECODED_TEXT,
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expected_decoded_texts = Expectations(
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{
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("cuda", None): [
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"USER: \nWhat are the things I should be cautious about when I visit this place? What should I bring "
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"with me? ASSISTANT: When visiting this place, which is a pier or dock extending over a body of water, "
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"you",
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"USER: \nWhat is this? ASSISTANT: The image features two cats lying down on a pink couch. One cat "
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"is located on",
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],
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("rocm", (9, 5)): [
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"USER: \nWhat are the things I should be cautious about when I visit this place? What should I bring "
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"with me? ASSISTANT: When visiting this serene location, which features a wooden pier overlooking a "
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"lake, you should",
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"USER: \nWhat is this? ASSISTANT: The image features two cats lying down on a pink couch. One cat "
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"is located on",
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],
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}
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)
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EXPECTED_DECODED_TEXT = expected_decoded_texts.get_expectation()
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decoded_output = processor.batch_decode(output, skip_special_tokens=True)
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self.assertEqual(decoded_output, EXPECTED_DECODED_TEXT)
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@slow
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@require_bitsandbytes
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@@ -433,6 +453,10 @@ class LlavaForConditionalGenerationIntegrationTest(unittest.TestCase):
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'USER: \nWhat are the things I should be cautious about when I visit this place? What should I bring with me?\nASSISTANT: When visiting this place, there are a few things to be cautious about and items to bring along',
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'USER: \nWhat is this?\nASSISTANT: Cats',
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],
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("rocm", (9, 5)): [
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"USER: \nWhat are the things I should be cautious about when I visit this place? What should I bring with me?\nASSISTANT: When visiting this dock on a lake, there are several things to be cautious about and items to",
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"USER: \nWhat is this?\nASSISTANT: This is a picture of two cats lying on a couch.",
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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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@@ -467,12 +491,28 @@ class LlavaForConditionalGenerationIntegrationTest(unittest.TestCase):
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output = model.generate(**inputs, max_new_tokens=20)
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EXPECTED_DECODED_TEXT = ['USER: \nWhat are the things I should be cautious about when I visit this place? What should I bring with me?\nASSISTANT: When visiting this place, which appears to be a dock or pier extending over a body of water', 'USER: \nWhat is this?\nASSISTANT: Two cats lying on a bed!\nUSER: \nAnd this?\nASSISTANT: A cat sleeping on a bed.'] # fmt: skip
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self.assertEqual(
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processor.batch_decode(output, skip_special_tokens=True),
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EXPECTED_DECODED_TEXT,
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expected_decoded_texts = Expectations(
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{
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("cuda", None): [
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"USER: \nWhat are the things I should be cautious about when I visit this place? What should I bring "
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"with me?\nASSISTANT: When visiting this place, which appears to be a dock or pier extending over a "
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"body of water",
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"USER: \nWhat is this?\nASSISTANT: Two cats lying on a bed!\nUSER: \nAnd this?\nASSISTANT: A cat "
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"sleeping on a bed.",
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],
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("rocm", (9, 5)): [
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"USER: \nWhat are the things I should be cautious about when I visit this place? What should I bring "
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"with me?\nASSISTANT: When visiting this place, which is a pier or dock overlooking a lake, you should "
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"be",
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"USER: \nWhat is this?\nASSISTANT: Two cats lying on a bed!\nUSER: \nAnd this?\nASSISTANT: A cat "
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"sleeping on a bed.",
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],
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}
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)
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EXPECTED_DECODED_TEXT = expected_decoded_texts.get_expectation()
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decoded_output = processor.batch_decode(output, skip_special_tokens=True)
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self.assertEqual(decoded_output, EXPECTED_DECODED_TEXT)
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@slow
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@require_torch
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