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Unverified Commit 080b7008 authored by Younes Belkada's avatar Younes Belkada Committed by GitHub
Browse files

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

fix filing exllama test
parent 41145247
...@@ -101,7 +101,11 @@ class AwqTest(unittest.TestCase): ...@@ -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 = "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_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" device_map = "cuda"
# called only once for all test in this class # called only once for all test in this class
...@@ -111,10 +115,7 @@ class AwqTest(unittest.TestCase): ...@@ -111,10 +115,7 @@ class AwqTest(unittest.TestCase):
Setup quantized model Setup quantized model
""" """
cls.tokenizer = AutoTokenizer.from_pretrained(cls.model_name) cls.tokenizer = AutoTokenizer.from_pretrained(cls.model_name)
cls.quantized_model = AutoModelForCausalLM.from_pretrained( cls.quantized_model = AutoModelForCausalLM.from_pretrained(cls.model_name, device_map=cls.device_map)
cls.model_name,
device_map=cls.device_map,
)
def tearDown(self): def tearDown(self):
gc.collect() gc.collect()
...@@ -204,7 +205,7 @@ class AwqTest(unittest.TestCase): ...@@ -204,7 +205,7 @@ class AwqTest(unittest.TestCase):
) )
output = quantized_model.generate(**input_ids, max_new_tokens=40) 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): def test_quantized_model_no_device_map(self):
""" """
......
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