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model.train() vs model.eval() vs torch.no_grad() in PyTorch: What Each One Changes

PyTorch has three calls that are used around evaluation: model.train() , model.eval() and torch.no_grad() . They control two separate things. train() and eval() set a mode flag that changes how some layers compute their output. torch.no_grad() controls whether autograd records the computation. This…

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  1. 2026-10-10 07:43 · DEV Community — Machine Learning
    model.train() vs model.eval() vs torch.no_grad() in PyTorch: What Each One Changes

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