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content/learning-paths/embedded-and-microcontrollers/visualizing-ethos-u-performance/6-configure-fvp-gui.md

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layout: "learningpathall"
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In this section, you'll enable GUI output for the Corstone-320 FVP and deploy a real TinyML model to observe instruction counts and output in the visual interface.
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## Visualize model execution using the FVP GUI
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You’ll now enable the graphical interface for the Corstone-320 FVP and run a real TinyML model to observe instruction counts and performance output in a windowed display.
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## Find your IP address
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Note down your computer's IP address:
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```bash
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ip addr show
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```
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Note down the IP address of your active network interface (inet) which you will use later to pass as an argument to the FVP.
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You'll use the IP address of your active network interface (inet) later to pass as an argument to the FVP.
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{{% notice macOS %}}
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{{% notice Note %}}
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Note down your `en0` IP address (or whichever network adapter is active):
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For macOS, note down your `en0` IP address (or whichever network adapter is active):
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```bash
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ipconfig getifaddr en0 # Returns your Mac's WiFi IP address

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