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This post provides a practical guide to debugging JAX workloads on Cloud TPUs, covering essential tools and their relationships in distributed environments.
•libtpu (containing the XLA compiler and TPU driver) and JAX/jaxlib are the two core components that nearly all debugging tools depend on
•Verbose logging can be enabled via environment flags (TPU_VMODULE, TPU_MIN_LOG_LEVEL, TF_CPP_MIN_LOG_LEVEL) on all TPU worker nodes using gcloud ssh commands
•Libtpu logs are automatically written to /tmp/tpu_logs/tpu_driver.INFO on each TPU VM and can be retrieved across all workers via a gcloud scp bash script
•The TPU Monitoring Library (bundled with jax[tpu]) provides programmatic access to hardware metrics like duty_cycle_pct via the tpumonitoring API
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tpu-info is a CLI tool similar to nvidia-smi that displays real-time TPU chip memory usage and duty cycle metrics
This summary was automatically generated by AI based on the original article and may not be fully accurate.
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