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Fix VLM model ut #2218

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Merged
merged 2 commits into from
May 30, 2025
Merged

Fix VLM model ut #2218

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53691fd
fix vlm ut
Kaihui-intel May 30, 2025
65ba7e7
update transformers version
Kaihui-intel May 30, 2025
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12 changes: 9 additions & 3 deletions test/3x/torch/quantization/weight_only/test_transformers.py
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Original file line number Diff line number Diff line change
Expand Up @@ -247,15 +247,21 @@ def test_vlm(self):
from intel_extension_for_pytorch.nn.utils._quantize_convert import WeightOnlyQuantizedLinear
else:
from intel_extension_for_pytorch.nn.modules import WeightOnlyQuantizedLinear
assert isinstance(woq_model.model.layers[0].self_attn.k_proj, WeightOnlyQuantizedLinear), "replacing model failed."

if Version(transformers.__version__) >= Version("4.52"):
assert isinstance(woq_model.model.language_model.layers[0].self_attn.k_proj, WeightOnlyQuantizedLinear), "replacing model failed."
else:
assert isinstance(woq_model.model.layers[0].self_attn.k_proj, WeightOnlyQuantizedLinear), "replacing model failed."

#save
woq_model.save_pretrained("transformers_vlm_tmp")

#load
loaded_model = Qwen2VLForConditionalGeneration.from_pretrained("transformers_vlm_tmp")
assert isinstance(loaded_model.model.layers[0].self_attn.k_proj, WeightOnlyQuantizedLinear), "loaing model failed."

if Version(transformers.__version__) >= Version("4.52"):
assert isinstance(loaded_model.model.language_model.layers[0].self_attn.k_proj, WeightOnlyQuantizedLinear), "loaing model failed."
else:
assert isinstance(loaded_model.model.layers[0].self_attn.k_proj, WeightOnlyQuantizedLinear), "loaing model failed."
# phi-3-vision-128k-instruct, disable as CI consumes too much time
# woq_config = AutoRoundConfig(
# bits=4,
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