How does PyTorch handle dynamic computation graphs?

Updated May 17, 2026

Short answer

PyTorch builds graphs dynamically at runtime during forward execution.

Unlike static graph frameworks, each forward pass constructs a new graph allowing control flow like loops and conditionals.

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