Do QuantizeLinear and DequantizeLinear operators only run with CPU?

I followed ONNX Runtime Quantization Example to get quantized model (https://github.com/microsoft/onnxruntime-inference-examples/tree/main/quantization/image_classification/cpu) and got the output model called mobilenetv2-7.quant.onnx. After quantizing the model, I tried to get output result by running inference. However, when I used onnxruntime-gpu and set all session run parameters for GPU (https://onnxruntime.ai/docs/api/python/api_summary.html#inferencesession) to run mobilenetv2-7.quant.onnx, I found that my computer used CPU to run the model instead of GPU. Besides, I used same session run parameters to run FP model called mobilenetv2-7-infer.onnx and my computer used GPU to run the output inference normally. Hence, I wonder to know if QuantizeLinear and DequantizeLinear operators only run with CPU or I can run these operators with GPU by changing my session run parameters, Thanks.

Start with the ONNX Runtime Quantization Example and the Python InferenceSession API linked in the issue. Compare execution of mobilenetv2-7.quant.onnx with mobilenetv2-7-infer.onnx under the same GPU settings, then establish whether QuantizeLinear and DequantizeLinear support the GPU provider and document the required configuration or limitation.