[Chore](R18) Perform an inference to set the intermediate tensors to export

examples/export_ResNet18/resnet18.py

@@ -376,6 +376,8 @@ if (DO_EXAMPLES and quantize_model):
     print('\n MODEL ACCURACY = ', accuracy * 100, '%')
     print('\n QUANTIZED ACCURACY = ', quant_accuracy * 100, '%')
 
+    output_array = propagate(model, scheduler, aidge_tensors[0])
+
 if USE_CUDA:    
     model.set_backend("cpu")
     for aidge_tensor in aidge_tensors: