The torch.autograd.Variable is a class in the Python Torch library that enables automatic differentiation. It acts as a wrapper around a tensor and provides a way to track the history of operations performed on it. Variables keep track of the gradients, which can be automatically computed using the chain rule of calculus, allowing for easy backpropagation of gradients during neural network training. This class is a key component in implementing dynamic computational graphs in PyTorch.
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