By using our APIs, providing an input tensor (shapes) and a
torch.nn.Module, we’ll export it to an ONNX model and upload it to the cloud
automatically. We’ll walk through setup instructions and a basic example
in the next section.
While this still has an ONNX intermediary step, we plan to also add support for
several other PyTorch IRs like TorchScript (automatically uploading these
.ts), or more recent FX IRs which are heavily used by
ML engineers to trace and modify op nodes without touching too much model code.
Stay tuned for these releases!
Have questions / need help?
Please reach out to email@example.com, and we’ll get back to you as soon as possible.