Error (batch_jpeg_enc): Transformation of CUDA_DEVICE memory on different GPUs is not allowed

[junshengy]

Do you have multiple GPUs on your system? You can try to set CUDA_VISIBLE_DEVICES=gpu_id_which_you_want_to_use ./your_program

@Dronakurl

Question: How can I configure the nvds_obj_enc_process function or the NvDsObjEncUsrArgs structure to use UNIFIED or PINNED memory instead of CUDA_DEVICE memory? Is there a parameter I’m missing, or do I need to modify the input buffer surface memory type before calling the encoding function?

This is usually related to other elements in the pipeline. Can you share your pipeline?

DeepStream SDK FAQ

5. [DS5.0GA_App] Generate GStreamer Pipeline Graph Use one of below method according to your application type to generate the GST pipeline graph. 4.1 deepstream-app run "export GST_DEBUG_DUMP_DOT_DIR=/tmp/" before deepstream-app command, e.g. $ sudo apt-get install graphviz $ export GST_DEBUG_DUMP_DOT_DIR=/tmp/ $ deepstream-app -c deepstream_app_config_yoloV2.txt $ cd /tmp/ $ dot -Tpng 0.03.47.898178403-ds-app-playing.dot >~/0.03.47.898178403-ds-app-playing.png // png file includes th…