Code generation error (loadDeepLearningNetwork)
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I saw the example and followed.
However, I would like to replace my newly created resnet50 neural network, not the pre-trained resnet50 neural network provided by Matlab. I actually made it, and it works well on the Matlb. However, when deploying to Raspberry Pi, loadDeeplelearningnetwork function keeps failing. What's the cause?
Does it matter if my gpu is AMD? Matlab coder is NVIDIA compatible..
this is my function
this is deploy function
errors
4 Comments
Ram Kokku
on 11 Jul 2023
@Chanhyeok, The coders will use the second argument as the recommended name for the C++ class generated for the deep learning network. you can give a simple dummy character array, preferable a single word - for example, 'MyDLClass' or 'my_dummy_string'.
you can find more about this argument here : https://www.mathworks.com/help/gpucoder/ref/coder.loaddeeplearningnetwork.html#d124e9416
Accepted Answer
Sayan Saha
on 11 Jul 2023
Edited: Sayan Saha
on 11 Jul 2023
Hello @Chanhyeok, are you trying to codegen in a folder that has non-ASCII characters in it's path? If so, can you change to a directory that has only ASCII characters in it's full-path and see if that resolves the issue. Note that codegen is not currently supported for non-ASCII characters https://www.mathworks.com/help/coder/ug/code-generation-for-characters.html.
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