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PyTorch Training Loop with AMP

Medium

functionspythonFrameworks

Problem

The Question

"Walk through how you would implement a custom PyTorch training loop for a multi-modal transformer that supports gradient accumulation and mixed-precision training. Explain the order of forward pass, loss scaling, backward pass, optimizer stepping, and the main failure cases you would guard against."

Problem

The Question

"Walk through how you would implement a custom PyTorch training loop for a multi-modal transformer that supports gradient accumulation and mixed-precision training. Explain the order of forward pass, loss scaling, backward pass, optimizer stepping, and the main failure cases you would guard against."

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