This patch adds a support for calling TorchScript. This can be used fallback
for when torch operators are not yet implemented or if one wants to incorporate
bespoke PyTorch custom ops into TVM with ease.
It adds
- a new relay `torchop` that takes a variable number of inputs and executes a
provi
This is an interesting use case of byoc, cc @zhiics @comaniac
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I'm curious how it integrates with PyTorch frontend. Do we convert every op not
supported to `relay.torchop`, run BYOC flow to get TorchScript subgraphs, and
send them to libtorch? Sounds interesting!
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