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@kuke The server? Do you mean a Fluid ONNX backend? Because we won't have one for a while - which is why I guess you used Caffe2. Is there a reason you chose Caffe2?
The goal would be to get identical inference results to Paddle models and inference. @kuke has more thoughts. And here is a notebook on the topic: https://github.com/onnx/tutorials/blob/master/tutorials/CorrectnessVerificationAndPerformanceComparison.ipynb.
Q: what runtime would we use for ONNX: TensorRT?
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