After processing the input data, was information transmitted to the neural network?

It is difficult to give a definitive answer without additional context, but usually in machine learning tasks and neural networks, after processing the input data, it is passed to the neural network for training or prediction.

For example, if you have a function that preprocesses data (normalization, transformation), the next step is to feed this data into the model:

processed_data = preprocess(raw_data)
output = neural_network(processed_data)

If your code calls a function or method related to the neural network (for example, model.forward() or model.predict()) after processing the data, it means the data is being passed to the neural network.

If there is no call to the model after data processing, then the data is not being passed.