I believe ONNX is an exchange format to port DL models from one frame work to
another. TVM is more like a DL compiler. It compiles the DL model based on
different frameworks for different target hardwares. During compilation it also
tries to optimize using scheduling and various other techniq
Hi, just learned about TVM and seems like a very interesting project.
Does it have similar design goals to ONNX ? i.e: Portability and efficient
inference on different target hardwares ?
Would be glad to understand if they are located on different layers in the
Inference stack, and how their p
