Update gpu-acceleration.md

removed indentation to code block

Author: v-shils

articles/iot-edge/gpu-acceleration.md

@@ -78,8 +78,10 @@ Windows 10 users must also [install WSL](/windows/wsl/install) because some of t
 Once system setup is complete, you are ready to [create your deployment of Azure IoT Edge for Linux on Windows](how-to-install-iot-edge-on-windows.md). During this process, you must [enable GPU](reference-iot-edge-for-linux-on-windows-functions.md#deploy-eflow) as part of EFLOW deployment.
 
 For example, the command below creates a virtual machine with an NVIDIA A2 GPU assigned.
+
 ```powershell
 Deploy-Eflow -gpuPassthroughType "DirectDeviceAssignment" -gpuCount 1 -gpuName "NVIDIA A2"
+```
 
 Once installation is complete, you are ready to deploy and run GPU-accelerated Linux modules through Azure IoT Edge for Linux on Windows.