Saved DAGNetwork model is empty when accessed on a differnt machine
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Matthias Kreuzer
el 30 de Nov. de 2022
Comentada: Sivylla Paraskevopoulou
el 2 de Dic. de 2022
I have trained a CNN in pytorch and loaded it into Matlab via ONNX import and saved it is an DAGNetwork. The created DAGNetwork works fine on my computer but when I try to load the same .mat file on another machine, the DAGNetwork cannot be properly loaded. Connections, Layer fields, etc. cannot be accessed. Does anyone know why that is the case?
To my understanding everything that you need to use the model is stored in the DAGNetwork.
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Sivylla Paraskevopoulou
el 2 de Dic. de 2022
In R2022b, MATLAB introduced the Deep Learning Toolbox Converter for PyTorch Models support package. This initial release supports importing image classification models directly from PyTorch. For more details, check out the blog post What’s New in Interoperability with TensorFlow and PyTorch and the importNetworkFromPyTorch documentation page.
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