Hi,
The issue arises because Simulink attempts to generate C code for the py.final10.test function when the load_model line is included. However, C code generation fails for functions involving external libraries like TensorFlow.
Here's how you can solve the problem:
Python Script for Model Loading (model_loader.py):
from tensorflow import keras
from keras.models import load_model
model = load_model('model.h5')
def get_model():
global model
return model
Python Script for Prediction (final10.py):
import numpy as np
def test(in1, in2, loaded_model):
x1 = in1
x2 = in2
a = np.asarray(x1)
b = np.asarray(x2)
G = np.asarray([a, b])
x3 = G.reshape(1, 2)
x4 = loaded_model.predict(x3)
# print(x4) # Optional for debugging
y = x1 + x2
return y
# Load the model outside the function to avoid reloading on every call
loaded_model = get_model()
MATLAB Function (fcn.m):
function y = fcn(in1, in2)
y = 0; % Preassign
coder.extrinsic('py.final10.test', 'py.model_loader.get_model');
% Load the model in the function for better memory management
loaded_model = py.model_loader.get_model();
y = double(py.final10.test(in1, in2, loaded_model));
end
Hope it helps
