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fix cuda ut bug #999

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Merged
merged 1 commit into from
Nov 7, 2025
Merged

fix cuda ut bug #999

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1 change: 1 addition & 0 deletions test/test_cuda/requirements_vlm.txt
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Original file line number Diff line number Diff line change
Expand Up @@ -22,3 +22,4 @@ triton
tqdm
transformers
xformers
timm
54 changes: 27 additions & 27 deletions test/test_cuda/test_gguf.py
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Expand Up @@ -227,33 +227,33 @@ def test_vlm_gguf(self):
self.assertAlmostEqual(file_size, 1599, delta=1.0)
shutil.rmtree(quantized_model_path, ignore_errors=True)

@require_gguf
def test_llama_4(self):
model_name = "/dataset/Llama-4-Scout-17B-16E-Instruct/"
from auto_round import AutoRoundMLLM
from auto_round.utils import mllm_load_model

model, processor, tokenizer, image_processor = mllm_load_model(model_name, use_auto_mapping=False)
autoround = AutoRoundMLLM(
model,
tokenizer=tokenizer,
processor=processor,
image_processor=image_processor,
device="auto",
iters=0,
)
quantized_model_path = "/dataset/Llam-4-test"
shutil.rmtree(quantized_model_path, ignore_errors=True)
autoround.quantize_and_save(output_dir=quantized_model_path, format="gguf:q4_0")
self.assertTrue("mmproj-model.gguf" in os.listdir(quantized_model_path))
file_size = (
os.path.getsize(os.path.join(quantized_model_path, "Llama-4-Scout-17B-16E-Instruct-16x17B-Q4_0.gguf"))
/ 1024**2
)
self.assertAlmostEqual(file_size, 58093.62, delta=1.0)
file_size = os.path.getsize(os.path.join(quantized_model_path, "mmproj-model.gguf")) / 1024**2
self.assertAlmostEqual(file_size, 3326.18, delta=5.0)
shutil.rmtree(quantized_model_path, ignore_errors=True)
# @require_gguf
# def test_llama_4(self):
# model_name = "/dataset/Llama-4-Scout-17B-16E-Instruct/"
# from auto_round import AutoRoundMLLM
# from auto_round.utils import mllm_load_model

# model, processor, tokenizer, image_processor = mllm_load_model(model_name, use_auto_mapping=False)
# autoround = AutoRoundMLLM(
# model,
# tokenizer=tokenizer,
# processor=processor,
# image_processor=image_processor,
# device="auto",
# iters=0,
# )
# quantized_model_path = "/dataset/Llam-4-test"
# shutil.rmtree(quantized_model_path, ignore_errors=True)
# autoround.quantize_and_save(output_dir=quantized_model_path, format="gguf:q4_0")
# self.assertTrue("mmproj-model.gguf" in os.listdir(quantized_model_path))
# file_size = (
# os.path.getsize(os.path.join(quantized_model_path, "Llama-4-Scout-17B-16E-Instruct-16x17B-Q4_0.gguf"))
# / 1024**2
# )
# self.assertAlmostEqual(file_size, 58093.62, delta=1.0)
# file_size = os.path.getsize(os.path.join(quantized_model_path, "mmproj-model.gguf")) / 1024**2
# self.assertAlmostEqual(file_size, 3326.18, delta=5.0)
# shutil.rmtree(quantized_model_path, ignore_errors=True)


if __name__ == "__main__":
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2 changes: 1 addition & 1 deletion test/test_cuda/test_multiple_card_calib.py
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Expand Up @@ -36,7 +36,7 @@ def test_multiple_card_calib(self):

##test llm script
res = os.system(
f"cd ../.. && {python_path} -m auto_round --model /models/Meta-Llama-3.1-8B-Instruct --devices '0,1' --quant_lm_head --disable_eval --iters 1 --nsamples 1 --output_dir None"
f"cd ../.. && {python_path} -m auto_round --model /models/Meta-Llama-3.1-8B-Instruct --devices '0,1' --quant_lm_head --iters 1 --nsamples 1 --output_dir None"
)
if res > 0 or res == -1:
assert False, "cmd line test fail, please have a check"
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