DeepLearning network compiling for embedded code error
I have trained a DL network and save as a .mat file (attached as "Paper3_LSTM_Based_Network2.mat"). The DL network simulates correctly under the Simulink environment (attached as "temp3.slx").
But when I tried to generate the C++ code through Embedded Code, it revealed:
Internal error while creating code interface description file: codeInfo.mat. Aborting code generation.
Caused by:
Cannot set ActualArgs property. Number of elements specified does not match number of elements in the Prototype’s Arguments property.
Can someone help me understand this error information? Any solution I can apply with?
Note: The DL network contains the SeqFolding and SeqUnfolding, thus I have to rely on the ARM Compute Library.I have trained a DL network and save as a .mat file (attached as "Paper3_LSTM_Based_Network2.mat"). The DL network simulates correctly under the Simulink environment (attached as "temp3.slx").
But when I tried to generate the C++ code through Embedded Code, it revealed:
Internal error while creating code interface description file: codeInfo.mat. Aborting code generation.
Caused by:
Cannot set ActualArgs property. Number of elements specified does not match number of elements in the Prototype’s Arguments property.
Can someone help me understand this error information? Any solution I can apply with?
Note: The DL network contains the SeqFolding and SeqUnfolding, thus I have to rely on the ARM Compute Library. I have trained a DL network and save as a .mat file (attached as "Paper3_LSTM_Based_Network2.mat"). The DL network simulates correctly under the Simulink environment (attached as "temp3.slx").
But when I tried to generate the C++ code through Embedded Code, it revealed:
Internal error while creating code interface description file: codeInfo.mat. Aborting code generation.
Caused by:
Cannot set ActualArgs property. Number of elements specified does not match number of elements in the Prototype’s Arguments property.
Can someone help me understand this error information? Any solution I can apply with?
Note: The DL network contains the SeqFolding and SeqUnfolding, thus I have to rely on the ARM Compute Library. deep learning, embedded coder, simulink MATLAB Answers — New Questions