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Make check dummy inputs import conditional in quantizer #1079

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Dec 19, 2024
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Make check dummy inputs import conditional in quantizer #1079

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3 changes: 2 additions & 1 deletion optimum/intel/openvino/quantization.py
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Original file line number Diff line number Diff line change
Expand Up @@ -44,7 +44,6 @@
from transformers.pytorch_utils import Conv1D
from transformers.utils import is_accelerate_available

from optimum.exporters.onnx.convert import check_dummy_inputs_are_allowed
from optimum.exporters.tasks import TasksManager
from optimum.quantization_base import OptimumQuantizer

Expand Down Expand Up @@ -524,6 +523,8 @@ def _quantize_torchmodel(

quantization_config = ov_config.quantization_config
if isinstance(quantization_config, OVWeightQuantizationConfig):
from optimum.exporters.onnx.convert import check_dummy_inputs_are_allowed

if stateful:
# patch model before weight compression
model = patch_model_with_bettertransformer(model)
Expand Down