In the evolving landscape of deep learning frameworks, PyTorch continues to be a dominant player, particularly because of its dynamic computation graph and intuitive interface. One of its core features that contributes significantly to its popularity is Autograd. As of 2025, Autograd in PyTorch has seen remarkable advancements, making it more robust and efficient for gradient computation, essential for backpropagation in neural networks..