RuntimeError: Unable to find data type for weight_name='/encoder/layer.0/attention/output/dense/MatMul_output_0'. shape_inference failed to return a type probably this node is from a different domain or using an input produced by such an operator. This may happen if you quantize a model already quantized. You may use extra_options DefaultTensorType to indicate the default weight type, usually onnx.TensorProto.FLOAT.

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RuntimeError: Unable to find data type for weight_name='/encoder/layer.0/attention/output/dense/MatMul_output_0'. shape_inference failed to return a type probably this node is from a different domain or using an input produced by such an operator. This may happen if you quantize a model already quantized. You may use extra_options DefaultTensorType to indicate the default weight type, usually onnx.TensorProto.FLOAT.

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from optimum.onnxruntime import ORTQuantizer
from optimum.onnxruntime.configuration import AutoQuantizationConfig
dynamic_quantizer = ORTQuantizer.from_pretrained(
output_model_path, 'model_optimized.onnx')

extra_options = {'DefaultTensorType': onnx.TensorProto.FLOAT}
dqconfig = AutoQuantizationConfig.avx512_vnni(is_static=False, per_channel=False)

dynamic_quantizer.quantize(save_dir=output_model_path,quantization_config=dqconfig)
tokenizer.save_pretrained(output_model_path)                                How should I change it