Yolov5: ERROR: Failed to get cuda engine from custom library API

[flmello]

• Hardware Platform (Jetson / GPU) Jetson nano Devkit
• DeepStream Version 6.0.0
• JetPack Version (valid for Jetson only) 4.6
• TensorRT Version 8.2.1.8

I have an script running on Jetson Xavier AGX, DS 6.3.0, JetPack 5.1, TensorRT 8.5.2.2. But when I tranfer this script to a nano devkit (specs above) I got error during the ONNX model conversion:

gstnvtracker: Loading low-level lib at /opt/nvidia/deepstream/deepstream/lib/libnvds_nvmultiobjecttracker.so
gstnvtracker: Batch processing is ON
gstnvtracker: Past frame output is OFF
[NvMultiObjectTracker] Initialized
ERROR: Deserialize engine failed because file path: /home/ubuntu/EdgeServer/model_b4_gpu0_fp32.engine open error
0:00:05.945769334 8805 0x2fd0a8f0 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 :/home/ubuntu/EdgeServer/model_b4_gpu0_fp32.engine failed
0:00:05.946900129 8805 0x2fd0a8f0 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 :/home/ubuntu/EdgeServer/model_b4_gpu0_fp32.engine failed, try rebuild
0:00:05.946948932 8805 0x2fd0a8f0 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]: onnx2trt_utils.cpp:366: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32.
ERROR: [TRT]: ModelImporter.cpp:773: While parsing node number 217 [Range -> "349"]:
ERROR: [TRT]: ModelImporter.cpp:774: --- Begin node ---
ERROR: [TRT]: ModelImporter.cpp:775: input: "347"
input: "346"
input: "348"
output: "349"
name: "Range_217"
op_type: "Range"

ERROR: [TRT]: ModelImporter.cpp:776: --- End node ---
ERROR: [TRT]: ModelImporter.cpp:779: ERROR: builtin_op_importers.cpp:3352 In function importRange:
[8] Assertion failed: inputs.at(0).isInt32() && "For range operator with dynamic inputs, this version of TensorRT only supports INT32!"

Could not parse the ONNX model

Failed to build CUDA engine
ERROR: Failed to create network using custom network creation function
ERROR: Failed to get cuda engine from custom library API
0:00:07.080241677 8805 0x2fd0a8f0 ERROR nvinfer gstnvinfer.cpp:632:gst_nvinfer_logger: NvDsInferContext[UID 1]: Error in NvDsInferContextImpl::buildModel() <nvdsinfer_context_impl.cpp:1934> [UID = 1]: build engine file failed
0:00:07.081381742 8805 0x2fd0a8f0 ERROR nvinfer gstnvinfer.cpp:632:gst_nvinfer_logger: NvDsInferContext[UID 1]: Error in NvDsInferContextImpl::generateBackendContext() <nvdsinfer_context_impl.cpp:2020> [UID = 1]: build backend context failed
0:00:07.081462525 8805 0x2fd0a8f0 ERROR nvinfer gstnvinfer.cpp:632:gst_nvinfer_logger: NvDsInferContext[UID 1]: Error in NvDsInferContextImpl::initialize() <nvdsinfer_context_impl.cpp:1257> [UID = 1]: generate backend failed, check config file settings
0:00:07.081547838 8805 0x2fd0a8f0 WARN nvinfer gstnvinfer.cpp:841:gst_nvinfer_start: error: Failed to create NvDsInferContext instance
0:00:07.081580286 8805 0x2fd0a8f0 WARN nvinfer gstnvinfer.cpp:841:gst_nvinfer_start: error: Config file path: /home/ubuntu/EdgeServer/config/dstest4_pgie_nvinfer_yolov5_config.txt, NvDsInfer Error: NVDSINFER_CONFIG_FAILED
[NvMultiObjectTracker] De-initialized
Error: 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(841): gst_nvinfer_start (): /GstPipeline:pipeline0/GstNvInfer:primary-gpu-inference-engine:
Config file path: /home/ubuntu/EdgeServer/config/dstest4_pgie_nvinfer_yolov5_config.txt, NvDsInfer Error: NVDSINFER_CONFIG_FAILED
Exiting app

--- 0.013864755630493164 seconds ---

Note that I had success in compiling nvdsinfer_custom_impl_Yolo with the correct Cuda version:
CUDA_VER=10.2 make -C nvdsinfer_custom_impl_Yolo

The libnvdsinfer_custom_impl_Yolo.so path is correct in my config file dstest4_pgie_nvinfer_yolov5_config.txt.

There is something tricky here, but I couldn't find out. Does anyone can give me a tip of what is going on?