What is switch in a torch?

In the context of PyTorch, a "switch" often refers to conditional statements or control flow mechanisms that can be used in neural networks. For instance, it can involve using if statements to alter the behavior of a model based on certain conditions during training or inference. Additionally, "switch" can refer to the use of operations that toggle between different modes or layers, such as switching between training and evaluation modes using model.train() and model.eval().