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365.114/246/247/248/321/322/323/324/360/361, UE Deep Learning: Architectures and Generative Techniques, Richard Freinschlag et al., 2026S

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What is the purpose of using the torch.no_grad() context manager or decorator in PyTorch?

To automatically compute the gradients of a scalar loss with respect to all trainable parameters.

To build a static computational graph before executing the forward pass.

To zero out the gradients of the optimizer before a new backward pass is performed.

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To enable hardware acceleration by moving tensors to the GPU or TPU.

To disable gradient tracking and reduce computational and memory overhead during inference or evaluation.

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