AI article
model.train() vs model.eval() vs torch.no_grad() in PyTorch: What Each One Changes
Community description: PyTorch has three calls that are used around evaluation: model.train(), model.eval() and...
Dev.to | Oct 10, 2026 | Wesam Khallaf — Author of PyTorch From Ground Up
Automated excerpt
A new model starts in training mode. model. eval() is the same call as model. train(False). In evaluation mode it returns its input unchanged. tensor([0. , 0. , 2. , 0. , 0. , 0. , 2. , 2. , 0. , 2. ]) tensor([1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. , 1. ]) With p = 0. 5, the surviving elements are multiplied by 2. Validating in training mode also changes the model.
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