# GPU Mode Command Line Initialization

There are several command line arguments that can be used with the VisionPro Deep Learning GUI on startup for library initialization.

The commands are issued using Windows Command Prompt, and navigating to this directory for Cognex Deep Learning Studio.exe (IDE application):

C:\Program Files\Cognex\VisionPro Deep Learning\3.3.2\Cognex Deep Learning Studio

Navigate to this directory for VisionPro Deep Learning Service.exe (if using the Deep Learning Client/Server Functionality):

C:\Program Files\Cognex\VisionPro Deep Learning\3.3.2\Service

You issue the commands by first specifying the name of the application followed by the command line arguments.

The following command line arguments can be used to control the GPU Mode, which GPU device to use and the allocation of GPU memory:

Command | Description
--- | ---
--gpu-mode=NoSupport or SingleDevicePerTool | Specifies the GPU mode to be used by the application.
SingleDevicePerTool | The application uses a single GPU for training and processing an image.
NoSupport | The application does not use a GPU. Note: This option conflicts with --gpu-devices and/or --optimized-gpu-memory.
Note: See Configuring Multiple GPUs for more information about the GPU modes.
--gpu-devices=comma separated indexed list of GPUs | Specifies the GPUs that will be used on initialization, via an indexed list. For example: --gpu-devices=0,1
--optimized-gpu-memory=memory size, in MB | Specifies the size of the pre-allocated optimized memory buffer. This setting is activated by default, with the default size of 2GB. To deactivate the feature, first issue the --optimized-gpu-memory-override=1 command, and then --optimized-gpu-memory=0 command. To use a memory buffer size other than the default setting, first issue the --optimized-gpu-memory-override=1 command, and then the --optimized-gpu-memory=<memory size in MB> command. Note: The GPU Memory Optimization setting is enabled by default. For more information, see GPU Memory Optimization.
--optimized-gpu-memory-override=[0 or 1] | If using the --optimized-gpu-memory setting, set to 1. If set to 0, the default amount of memory will be allocated.