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FIX / AWQ: Fix failing exllama test (#30288)

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fix filing exllama test
This commit is contained in:
Younes Belkada
2024-04-17 11:26:35 +02:00
committed by GitHub
parent 4114524706
commit 080b700805
1 changed files with 7 additions and 6 deletions
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13
tests/quantization/autoawq/test_awq.py
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@@ -101,7 +101,11 @@ class AwqTest(unittest.TestCase):
EXPECTED_OUTPUT = "Hello my name is Katie and I am a 20 year old student at the University of North Carolina at Chapel Hill. I am a junior and I am majoring in Journalism and minoring in Spanish"
EXPECTED_OUTPUT_BF16 = "Hello my name is Katie and I am a 20 year old student at the University of North Carolina at Chapel Hill. I am a junior and I am majoring in Exercise and Sport Science with a"
EXPECTED_OUTPUT_EXLLAMA = "Hello my name is Katie and I am a 20 year old student from the UK. I am currently studying for a degree in English Literature and History at the University of York. I am a very out"
EXPECTED_OUTPUT_EXLLAMA = [
"Hello my name is Katie and I am a 20 year old student from the UK. I am currently studying for a degree in English Literature and History at the University of York. I am a very out",
"Hello my name is Katie and I am a 20 year old student from the UK. I am currently studying for a degree in English Literature and History at the University of York. I am a very creative",
]
device_map = "cuda"
# called only once for all test in this class
@@ -111,10 +115,7 @@ class AwqTest(unittest.TestCase):
Setup quantized model
"""
cls.tokenizer = AutoTokenizer.from_pretrained(cls.model_name)
cls.quantized_model = AutoModelForCausalLM.from_pretrained(
cls.model_name,
device_map=cls.device_map,
)
cls.quantized_model = AutoModelForCausalLM.from_pretrained(cls.model_name, device_map=cls.device_map)
def tearDown(self):
gc.collect()
@@ -204,7 +205,7 @@ class AwqTest(unittest.TestCase):
)
output = quantized_model.generate(**input_ids, max_new_tokens=40)
self.assertEqual(self.tokenizer.decode(output[0], skip_special_tokens=True), self.EXPECTED_OUTPUT_EXLLAMA)
self.assertIn(self.tokenizer.decode(output[0], skip_special_tokens=True), self.EXPECTED_OUTPUT_EXLLAMA)
def test_quantized_model_no_device_map(self):
"""