The `torch.autograd.Variable.add` function in Python torch library is used to perform an element-wise addition operation on two Variables. It takes two input Variables and returns a new Variable that contains the element-wise sum of the input Variables. This function allows for automatic computation of gradients during backpropagation, enabling efficient differentiation in neural networks.
Python Variable.add - 26 examples found. These are the top rated real world Python examples of torch.autograd.Variable.add extracted from open source projects. You can rate examples to help us improve the quality of examples.