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But quickly skimming through the SplitToSequence operator documentation, it does feel like its output tensor's dimension could maybe be data dependent (i.e. determinable only at run-time)? If so, implementing that would require dynamic memory allocation, which onnx2c does not allow.
This model takes 480 input samples and returns 480 output samples. If we provide fewer than 480 input samples, it automatically adds zeros to make it 480 (as a part of preprocessing) not a part of model itself. I'll check my model to see if we can make it work statically.
This is my onnx model.
denoiser.onnx
when i run the command:
./onnx2c ./denoiser_model.onnx > model.c
I get these error:
onnx2c: /mnt/d/onnx2c/src/graph.cc:549: toC::Node* toC::Graph::createNode(std::string): Assertion
false' failed.Aborted`
How to resolve this?
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