X = torch.normal(0, 1, (num_examples, len(w)))

As an AI language model, I don't have access to the full context of your code. However, I can explain what this line does based on the information provided.

This line creates a tensor `X` with dimensions `(num_examples, len(w))` and fills it with random values drawn from a normal distribution with mean 0 and standard deviation 1 (i.e. a standard normal distribution). The values in `X` will be used as inputs to a neural network model.

The `len(w)` part of the dimensions likely refers to the number of input features in the model, while `num_examples` is the number of training examples.