seniorPyTorch
What are hooks in PyTorch?
Updated May 17, 2026
Short answer
Hooks allow inspection or modification of gradients and activations.
Deep explanation
Forward and backward hooks can be attached to modules or tensors to debug or modify training behavior.
Unlock with a Pro subscription to view this section.
View pricingReal-world example
No real-world example available yet.
Unlock with a Pro subscription to view this section.
Upgrade to ProCommon mistakes
No common mistakes listed yet.
Unlock with a Pro subscription to view this section.
Upgrade to ProFollow-up questions
No follow-up questions available yet.
Unlock with a Pro subscription to view this section.
Upgrade to Pro