ERROR: Failed to create network using custom network creation function ERROR: Failed to get cuda engine from custom library API

[jingruhou]

`Opening in BLOCKING MODE
ERROR: [TRT]: INVALID_CONFIG: The engine plan file is generated on an incompatible device, expecting compute 7.2 got compute 5.3, please rebuild.
ERROR: [TRT]: engine.cpp (1546) - Serialization Error in deserialize: 0 (Core engine deserialization failure)
ERROR: [TRT]: INVALID_STATE: std::exception
ERROR: [TRT]: INVALID_CONFIG: Deserialize the cuda engine failed.
ERROR: Deserialize engine failed from file: /opt/maskcam_1.0/yolo/maskcam_y4t_1024_608_fp16.trt
0:00:03.391191797 89 0x1cf0fd00 WARN nvinfer gstnvinfer.cpp:616:gst_nvinfer_logger: NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::deserializeEngineAndBackend() <nvdsinfer_context_impl.cpp:1690> [UID = 1]: deserialize engine from file :/opt/maskcam_1.0/yolo/maskcam_y4t_1024_608_fp16.trt failed
0:00:03.391251448 89 0x1cf0fd00 WARN nvinfer gstnvinfer.cpp:616:gst_nvinfer_logger: NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::generateBackendContext() <nvdsinfer_context_impl.cpp:1797> [UID = 1]: deserialize backend context from engine from file :/opt/maskcam_1.0/yolo/maskcam_y4t_1024_608_fp16.trt failed, try rebuild
0:00:03.391282234 89 0x1cf0fd00 INFO nvinfer gstnvinfer.cpp:619:gst_nvinfer_logger: NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::buildModel() <nvdsinfer_context_impl.cpp:1715> [UID = 1]: Trying to create engine from model files
Yolo type is not defined from config file name:
ERROR: Failed to create network using custom network creation function
ERROR: Failed to get cuda engine from custom library API
0:00:03.391650410 89 0x1cf0fd00 ERROR nvinfer gstnvinfer.cpp:613:gst_nvinfer_logger: NvDsInferContext[UID 1]: Error in NvDsInferContextImpl::buildModel() <nvdsinfer_context_impl.cpp:1735> [UID = 1]: build engine file failed
0:00:03.391677900 89 0x1cf0fd00 ERROR nvinfer gstnvinfer.cpp:613:gst_nvinfer_logger: NvDsInferContext[UID 1]: Error in NvDsInferContextImpl::generateBackendContext() <nvdsinfer_context_impl.cpp:1821> [UID = 1]: build backend context failed
0:00:03.391722606 89 0x1cf0fd00 ERROR nvinfer gstnvinfer.cpp:613:gst_nvinfer_logger: NvDsInferContext[UID 1]: Error in NvDsInferContextImpl::initialize() <nvdsinfer_context_impl.cpp:1148> [UID = 1]: generate backend failed, check config file settings
0:00:03.392212548 89 0x1cf0fd00 WARN nvinfer gstnvinfer.cpp:809:gst_nvinfer_start: error: Failed to create NvDsInferContext instance
0:00:03.392239590 89 0x1cf0fd00 WARN nvinfer gstnvinfer.cpp:809:gst_nvinfer_start: error: Config file path: maskcam_config.txt, NvDsInfer Error: NVDSINFER_CONFIG_FAILED
ERROR inference | gst-resource-error-quark: Failed to create NvDsInferContext instance (1): /dvs/git/dirty/git-master_linux/deepstream/sdk/src/gst-plugins/gst-nvinfer/gstnvinfer.cpp(809): prints.py:42
gst_nvinfer_start (): /GstPipeline:pipeline0/GstNvInfer:primary-inference:
Config file path: maskcam_config.txt, NvDsInfer Error: NVDSINFER_CONFIG_FAILED
INFO inference | prints.py:48
TROUBLESHOOTING HELP

           If the error is like: v4l-camera-source / reason not-negotiated                                                                                                                                
           Solution: configure camera capabilities                                                                                                                                                        
           Run the script under utils/gst_capabilities.sh and find the lines with type                                                                                                                    
           video/x-raw ...                                                                                                                                                                                
           Find a suitable framerate=X/1 (with X being an integer like 24, 15, etc.)                                                                                                                      
           Then edit config_maskcam.txt and change the line:                                                                                                                                              
           camera-framerate=X                                                                                                                                                                             
           Or configure using --env MASKCAM_CAMERA_FRAMERATE=X (see README)                                                                                                                               
                                                                                                                                                                                                          
           If the error is like:                                                                                                                                                                          
           /usr/lib/aarch64-linux-gnu/libgomp.so.1: cannot allocate memory in static TLS block                                                                                                            
           Solution: preload the offending library                                                                                                                                                        
           export LD_PRELOAD=/usr/lib/aarch64-linux-gnu/libgomp.so.1                                                                                                                                      
                                                                                                                                                                                                          
           END HELP                                                                                                                                                                                       

INFO inference | Inference main loop ending. prints.py:48
INFO inference | Output file saved: output_Robot.mp4 prints.py:48
INFO maskcam-run | Sending interrupt to streaming process prints.py:48
INFO maskcam-run | Waiting for process streaming to terminate... prints.py:48
INFO streaming | Ending streaming prints.py:48
INFO maskcam-run | Process terminated: streaming prints.py:48
`

[javalier]

I met the problems like these in some way,have you solve these problems?