The problem of slow GPU inference speed in exporting onnx models

[Doctor-bun]

Dear Facebook Development Team
I saw this description in the guide: The converted model is able to run in either Python or C++ without detectron2/torchvision dependency, on CPU or GPUs. It has a runtime optimized for CPU & mobile inference, but not optimized for GPU inference. After actual testing, I found that the CPU time is only one-third of the GPU time. Accelerated optimization will significantly improve inference speed. Therefore, I am wondering if it is possible to add optimization to the exported onnx GPU inference, as this is also a fundamental feature that is universal in the project.