> and then compile the ONNX to the native format of the device.
I'm assuming you are talking about https://github.com/onnx/onnx-mlir?
In your experience, how much faster is a "compiled" onnx model vs. using an onnx runtime?
I'm assuming you are talking about https://github.com/onnx/onnx-mlir?
In your experience, how much faster is a "compiled" onnx model vs. using an onnx runtime?
Back in the day TensorFlow had tfdeploy which compiled TensorFlow terms into NumPy matrix operations. Our synthetic tests saw speedups of factor 50.