seniorPyTorch
What is the difference between model.eval() and torch.no_grad()?
Updated May 17, 2026
Short answer
eval() changes layer behavior, while no_grad() disables gradient computation.
Deep explanation
model.eval() affects layers like dropout and batchnorm. torch.no_grad() disables autograd tracking. They are often used together but serve different purposes.
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