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I have seen some (experimental?) support in ONNX proto to functions (sequence of ops). Is it actually supported by ONNX latest version, or was it just experimental? How can I export a PyTorch model with such a function in it?
Further information
Relevant Area: model usage, best practices
Is this issue related to a specific model?
No
Notes
For example, when exporting a ShuffleNet, it would be good to have the shuffle ops as a single op/a function so that it is easier on the importer side to understand which ops form a higher level compound. For small functions like the shuffle op, it could be merged on the importer side, but such practice becomes prohibitive for larger functions.
The text was updated successfully, but these errors were encountered:
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Question
I have seen some (experimental?) support in ONNX proto to functions (sequence of ops). Is it actually supported by ONNX latest version, or was it just experimental? How can I export a PyTorch model with such a function in it?
Further information
Relevant Area: model usage, best practices
Is this issue related to a specific model?
No
Notes
For example, when exporting a ShuffleNet, it would be good to have the shuffle ops as a single op/a function so that it is easier on the importer side to understand which ops form a higher level compound. For small functions like the shuffle op, it could be merged on the importer side, but such practice becomes prohibitive for larger functions.
The text was updated successfully, but these errors were encountered: