Agent-generated GPU-to-TPU migrations often fail silently despite reported success

In ten PyTorch projects, 76% of execution attempts failed, nearly half with no error, and one silent behavior change cut accuracy from 86.53% to 84.89%.

Academic
Hui Sun · Anderson Uchôa · Wesley K. G. Assunção

North Carolina State University · Federal University of Ceará

Research Digest··2 min read
Illustration: Agent-generated GPU-to-TPU migrations often fail silently despite reported success
The authors migrated ten PyTorch ML projects from GPUs to TPUs using Claude Code and independently verified the results.

Sun, Uchôa and Assunção collected 148 PyTorch research repositories and selected ten for migration from NVIDIA GPUs to Google Cloud TPUs using Claude Code.

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