I am currently using Docker containers nvcr.io/nvidia/deepstream:6.3-gc-triton-develConvert YOLO model
hello，I used DeepStream-Yolo-master for conversion and it was killed.
This device was originally capable of performing onnx conversion to engine, but after a period of time, it was unable to function properly.
Here are the logs, where should I start troubleshooting.
deepstream-app -c deepstream_app_config.txt
WARNING: …/nvdsinfer/nvdsinfer_model_builder.cpp:1487 Deserialize engine failed because file path: /zhuji/DSYOLOV8/DeepStream-Yolo-master/T/model_b1_gpu0_fp32.engine open error
0:00:03.995268620 71975 0x55e07541a030 WARN nvinfer gstnvinfer.cpp:679:gst_nvinfer_logger:<primary_gie> NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::deserializeEngineAndBackend() <nvdsinfer_context_impl.cpp:1976> [UID = 1]: deserialize engine from file :/zhuji/DSYOLOV8/DeepStream-Yolo-master/T/model_b1_gpu0_fp32.engine failed
0:00:04.127911458 71975 0x55e07541a030 WARN nvinfer gstnvinfer.cpp:679:gst_nvinfer_logger:<primary_gie> NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::generateBackendContext() <nvdsinfer_context_impl.cpp:2081> [UID = 1]: deserialize backend context from engine from file :/zhuji/DSYOLOV8/DeepStream-Yolo-master/T/model_b1_gpu0_fp32.engine failed, try rebuild
0:00:04.127941859 71975 0x55e07541a030 INFO nvinfer gstnvinfer.cpp:682:gst_nvinfer_logger:<primary_gie> NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::buildModel() <nvdsinfer_context_impl.cpp:2002> [UID = 1]: Trying to create engine from model files
WARNING: [TRT]: onnx2trt_utils.cpp:377: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32.
WARNING: [TRT]: onnx2trt_utils.cpp:403: One or more weights outside the range of INT32 was clamped
WARNING: [TRT]: Tensor DataType is determined at build time for tensors not marked as input or output.
Building the TensorRT Engine
Killed
±--------------------------------------------------------------------------------------+
| NVIDIA-SMI 545.29.06 Driver Version: 545.29.06 CUDA Version: 12.3 |
|-----------------------------------------±---------------------±---------------------+
| 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 NVIDIA GeForce RTX 4070 Off | 00000000:01:00.0 Off | N/A |
| 0% 37C P8 16W / 200W | 5MiB / 12282MiB | 0% Default |
| | | N/A |
±----------------------------------------±---------------------±---------------------+
±--------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=======================================================================================|
| No running processes found |
±--------------------------------------------------------------------------------------+
