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To optimize the operation of the neural analytics on GPU, do the following:

1. Stop the server (see Stopping Stop the server).
   

   Note
   title Attention!
   If the system has the software running on GPU, it is necessary to stop its operation.

2. In Windows OS, go to Settings → System → Display → Graphics Settings. Turn off the Hardware-accelerated GPU scheduling toggle.This option increases the load on the server.

3. Create the GPU_CACHE_DIR system variable (see Appendix 9. Creating system variable) by specifying in the Variable value field the path to the cache location with an arbitrary folder name. For example, D:\GPU_cache. The specified directory will store the cache for all used detectors and neural networks.
   The cache size depends on the number of neural networks used and their type. The minimum size is 70 MB.
   

4. Run the command prompt as administrator.

5. To call the utility, in the command prompt, enter C:\Program Files\Common Files\AxxonSoft\DetectorPack\NeuroPackGpuCacheGenerator.exe.

6. Press Enter.

7. Specify the ID of the required Nvidia GPU (see Selecting Nvidia GPU when configuring detectors).
8. Press Enter.

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Creating GPU neural network caches using parameters

1. -p is a parameter to create a cache for a particular neural network.
   Example of a command:
   

   Code Block
   C:\Program Files\Common Files\AxxonSoft\DetectorPack\NeuroPackGpuCacheGenerator.exe -p "<System disk>\<Neural network location directory>\Neural_network_name.ann"

   To create a cache for multiple neural networks, list the paths to the selected neural networks, separated by a space.
   Example of a command:

   Code Block
   C:\Program Files\Common Files\AxxonSoft\DetectorPack\NeuroPackGpuCacheGenerator.exe -p "<System disk>\<Neural network location directory>\Neural_network_name.ann" "C:\Program Files\Common Files\AxxonSoft\DetectorPack\NeuroSDK\WaterLevelRuleNet_origin_onnx.ann"

2. -v is a parameter to output the procedure log to the console during cache generation.
   Example of a command to automatically create caches of four neural networks included in the Neuro Pack add-ons with log output:
   

   Code Block
   C:\Program Files\Common Files\AxxonSoft\DetectorPack\NeuroPackGpuCacheGenerator.exe -v

   Example of a command:
   

   Code Block
   C:\Program Files\Common Files\AxxonSoft\DetectorPack\NeuroPackGpuCacheGenerator.exe -p "<System disk>\<Neural network location directory>\Neural_network_name.ann" -v

3. --int8=1 is a parameter to create cache for those neural networks for which quantization is available. Neural networks for which the quantization mode is available are included in the Neuro Pack add-ons together with the *.info file. By default, the --int8=0 parameter is disabled.
   Example of a command:
   

   Code Block
   C:\Program Files\Common Files\AxxonSoft\DetectorPack\NeuroPackGpuCacheGenerator.exe --int8=1

4. -f is a parameter to save logs of the caching procedure to files. It is available starting with DetectorPack 3.15. When you use the -v and -f parameters together, logs for each created cache are saved to: <Path to the cache folder created for the GPU_CACHE_DIR system variable>\caching-utility-log. A separate log file is created for each neural network. Log files created during previous runs of the utility are deleted.
   Example of a command for creating a cache with detailed logging to the console and saving logs to files:
   

   Code Block
   language shell
   C:\Program Files\Common Files\AxxonSoft\DetectorPack\NeuroPackGpuCacheGenerator.exe -v -f

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