gmon is a lightweight, easy-to-use Python tool designed for monitoring GPU memory usage in real-time. It is particularly useful in optimizing and debugging machine learning and data processing applications, tracking peak GPU memory usage, and now features an HTML report for a detailed memory usage graph.

To install gmon, use pip to install directly from the GitHub repository:

pip install git+https://github.com/adamlouly/gmon.git

Ensure nvidia-smi is installed on your system, as gmon relies on it to fetch GPU memory usage data.

To monitor GPU memory usage of your script with gmon, prefix your command like this:

gmon python your_script.py

Replace your_script.py with the path to the Python script you want to monitor. gmon will execute your script, displaying peak GPU memory usage upon completion, and generate an HTML report if enabled.

To enable the HTML report feature, set the environment variable GMON_TRACE to 1. Here's how you can do it on different operating systems:

• Linux:

  export GMON_TRACE=1
  gmon python your_script.py

• Windows (Command Prompt):

  set GMON_TRACE=1
  gmon python your_script.py

The HTML report (gmon_gpu_memory_usage.html) will be generated in the current working directory, providing a visual representation of GPU memory usage over time.

• Real-time Monitoring: Tracks GPU memory usage continuously during script runtime.
• Peak Memory Reporting: Reports peak memory usage across all GPUs.
• HTML Report Generation: Generates a detailed graph of GPU memory usage over time.
• Easy Integration: Seamlessly works with any Python script without script modifications.

• NVIDIA GPU with NVIDIA drivers installed.
• nvidia-smi command-line tool.

gmon is open-sourced under the MIT License. See the LICENSE file for more details.