Ubuntu18.04
amd64
T4 x2
$ deepstream-app --version-all
deepstream-app version 6.0.0
DeepStreamSDK 6.0.0
CUDA Driver Version: 11.4
CUDA Runtime Version: 11.4
TensorRT Version: 8.2
cuDNN Version: 8.2
libNVWarp360 Version: 2.0.1d3
$ nvidia-smi
Mon Aug 1 10:30:24 2022
±----------------------------------------------------------------------------+
| NVIDIA-SMI 470.57.02 Driver Version: 470.57.02 CUDA Version: 11.4 |
|-------------------------------±---------------------±---------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 Tesla T4 On | 00000000:3B:00.0 Off | 0 |
| N/A 33C P8 11W / 70W | 0MiB / 15109MiB | 0% Default |
| | | N/A |
±------------------------------±---------------------±---------------------+
| 1 Tesla T4 On | 00000000:AF:00.0 Off | 0 |
| N/A 32C P8 11W / 70W | 0MiB / 15109MiB | 0% Default |
| | | N/A |
±------------------------------±---------------------±---------------------+
±----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| No running processes found |
±----------------------------------------------------------------------------+
run with deepstrean python app
ERROR: …/nvdsinfer/nvdsinfer_model_builder.cpp:1484 Deserialize engine failed because file path: /data/deepstream-app/deep-stream/nvidia_tao/resnet10.caffemodel_b16_gpu0_int8.engine open error
0:00:01.156643547 61032 0x7fba78e8a730 WARN nvinfer gstnvinfer.cpp:635:gst_nvinfer_logger: NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::deserializeEngineAndBackend() <nvdsinfer_context_impl.cpp:1889> [UID = 1]: deserialize engine from file :/data/deepstream-app/deep-stream/nvidia_tao/resnet10.caffemodel_b16_gpu0_int8.engine failed
0:00:01.157513313 61032 0x7fba78e8a730 WARN nvinfer gstnvinfer.cpp:635:gst_nvinfer_logger: NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::generateBackendContext() <nvdsinfer_context_impl.cpp:1996> [UID = 1]: deserialize backend context from engine from file :/data/deepstream-app/deep-stream/nvidia_tao/resnet10.caffemodel_b16_gpu0_int8.engine failed, try rebuild
0:00:01.157532795 61032 0x7fba78e8a730 INFO nvinfer gstnvinfer.cpp:638:gst_nvinfer_logger: NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::buildModel() <nvdsinfer_context_impl.cpp:1914> [UID = 1]: Trying to create engine from model files
WARNING: [TRT]: TensorRT was linked against cuBLAS/cuBLAS LT 11.6.3 but loaded cuBLAS/cuBLAS LT 11.5.4
WARNING: [TRT]: TensorRT was linked against cuBLAS/cuBLAS LT 11.6.3 but loaded cuBLAS/cuBLAS LT 11.5.4
0:00:31.738839801 61032 0x7fba78e8a730 INFO nvinfer gstnvinfer.cpp:638:gst_nvinfer_logger: NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::buildModel() <nvdsinfer_context_impl.cpp:1947> [UID = 1]: serialize cuda engine to file: /data/deepstream-app/deep-stream/nvidia_tao/resnet10.caffemodel_b30_gpu0_int8.engine successfully
WARNING: [TRT]: TensorRT was linked against cuBLAS/cuBLAS LT 11.6.3 but loaded cuBLAS/cuBLAS LT 11.5.4
INFO: …/nvdsinfer/nvdsinfer_model_builder.cpp:610 [Implicit Engine Info]: layers num: 3
0 INPUT kFLOAT input_1 3x368x640
1 OUTPUT kFLOAT conv2d_bbox 16x23x40
2 OUTPUT kFLOAT conv2d_cov/Sigmoid 4x23x40
0:00:31.751666251 61032 0x7fba78e8a730 INFO nvinfer gstnvinfer_impl.cpp:313:notifyLoadModelStatus: [UID 1]: Load new model:nvidia_tao/config_infer_primary.txt sucessfully
Segmentation fault (core dumped)
what should i do next?