Why is my train_ch3 function with #@save not accessible in other notebooks when using d2l? I am following the d2l (Dive into Deep Learning) framework and trying to save the train_ch3 function using the #@save annotation so that it can be accessed from other notebooks. However, even after adding the #@save annotation and ensuring I have imported the d2l package correctly, the function is not available when I try to call it from another notebook using from d2l import train_ch3. Other functions with the #@save annotation work fine, but this specific function does not seem to be recognized. Below is the code for my train_ch3 function: def train_ch3(net, train_iter, test_iter, loss, num_epochs, updater): #@save """Train a model (defined in Chapter 3)""" animator = Animator(xlabel='epoch', xlim=[1, num_epochs], ylim=[0.3, 0.9], legend=['train loss', 'train acc', 'test acc']) for epoch in range(num_epochs): train_metrics = train_epoch_ch3(net, train_iter, loss, updater) test_acc = evaluate_accuracy(net, test_iter) animator.add(epoch + 1, train_metrics + (test_acc,)) train_loss, train_acc = train_metrics assert train_loss < 0.5, train_loss assert train_acc <= 1 and train_acc > 0.7, train_acc assert test_acc <= 1 and test_acc > 0.7, test_acc Here is how I try to import and use the function in another notebook: from d2l import train_ch3 But this results in the following error: ImportError: cannot import name 'train_ch3' from 'd2l' (unknown location) What I've checked so far: Other functions with #@save work: Functions like train_epoch_ch3 and evaluate_accuracy are accessible after adding #@save. d2l installation: I confirmed that d2l is installed and up-to-date (pip install --upgrade d2l). Notebook execution: I ensured that the cell defining train_ch3 has been executed before trying to use it in another notebook. My question: Why does the train_ch3 function fail to be recognized for import despite using the #@save annotation? Is there something specific about #@save usage or the d2l package that I might be missing? Any help or guidance would be greatly appreciated! Continue reading...