TPU Monitoring Dashboard
Project description
TPU-TOP
A modern, terminal-based monitoring dashboard for Google Cloud TPUs, designed to give you real-time visibility into your machine's performance.
Project Overview
tpu-top provides a visual, interactive TUI (Terminal User Interface) to monitor system and TPU resources. It is specifically tailored for high-performance computing environments like GKE (Google Kubernetes Engine) where deep learning models are trained on TPUs.
Key Features
- 2x2 Metric Grid: Real-time tracking of CPU, RAM, Average TPU Utilization, and Average TPU HBM (Memory).
- Visual Bar Charts: Multi-line vertical bar charts filling the display boxes to show resource usage scaling up to 100%.
- Device Status Table: Detailed per-device breakdown showing duty cycle and memory usage for each local TPU chip.
- Process Monitor: Lists active processes consuming CPU or TPU resources on the host.
- Google Brand Styling: Color-coded graphs using Google's signature color palette (Blue, Red, Yellow, Green).
- Version Awareness: Displays JAX, libtpu, and tpu-info versions directly in the header alongside detected TPU generation.
Installation
You can install tpu-top directly from the source directory.
Prerequisites
Ensure you have Python 3.8+ and access to a Cloud TPU environment. The tool relies on tpu-info to communicate with the TPU driver.
Standard Install
Navigate to the project root directory and run:
pip install .
Developer Install
If you are making modifications and want them to reflect immediately:
pip install -e .
How to Use
Once installed, you can launch the dashboard from anywhere in your terminal:
tpu-top
Environment Variables
TPU_TOP_MOCK=1: Force mock mode for testing on machines without physical TPUs.TPU_TOP_ITERATIONS=N: Run for exactlyNrefresh cycles and exit (useful for automated tests).
Running Tests
To validate changes, run the unit tests:
python -m unittest test_main.py
(Note: If testing inside a GKE container, ensure dependencies are installed in your target environment).
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