
This integration comes with a built-in lifecycle   management feature. VS Code will install the TensorBoard package and the PyTorch Profiler plugin package (coming in mid-April) automatically if you don’t have them on your system. VS Code will also launch TensorBoard process for you and automatically look for any TensorBoard log files within your current directory. When you’re done, just close the tab and VS Code will automatically close the process.  No more Terminal windows running on your system to provide a backend for the TensorBoard UI! Below is PyTorch Profiler Trace View running in TensorBoard.



Learn more about TensorBoard support in VS Code in this blog.
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