How does PyTorch handle dynamic control flow in models?

Updated May 17, 2026

Short answer

PyTorch supports dynamic control flow by executing Python code during forward pass.

Unlike static graph frameworks, PyTorch executes conditionals and loops natively in Python, allowing variable computation paths per input sample.

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