Pytorch installing for cuda in jetson nano

I want to run my project in jetson nano, which includes two models trained with yolov5, with gpu using cuda. I downloaded all the libraries related to it. I installed n torch and torchvision in nvdia. But when I run the project, the computer freezes. It works up to a certain point. I leave the output below.When I stop it, it gives warnings where I imported the model. ‘model1 = torch.hub.load(‘ultralytics/yolov5’, ’ custom’, path=‘last.pt’)’

Hi,

Since Nano has limited memory, would you mind monitoring the system status first?
It is possible that the app gets stuck due to the lacking of memory.

$ sudo tegrastats

Thanks.

I don’t understand anything from the output of this command. Can you help me please?

Hi,

Please check the value of RAM which is described as used/total format.

Based on the log, you didn’t run out of memory.
Do you get this result when the system freeze?
If yes, would you mind sharing the model and script to reproduce with us first?

Thanks.

Hello.Thank you for your answer . İ worked detect.py in yolov5 directory. But My system again stopped. Can you look those picture


it s after than running project.

what can I do.

and this is my jetpack version
Package: nvidia-jetpack
Version: 4.4.1-b50
Architecture: arm64
Maintainer: NVIDIA Corporation
Installed-Size: 194
Depends: nvidia-cuda (= 4.4.1-b50), nvidia-opencv (= 4.4.1-b50), nvidia-cudnn8 (= 4.4.1-b50), nvidia-tensorrt (= 4.4.1-b50), nvidia-visionworks (= 4.4.1-b50), nvidia-container (= 4.4.1-b50), nvidia-vpi (= 4.4.1-b50), nvidia-l4t-jetson-multimedia-api (>> 32.4-0), nvidia-l4t-jetson-multimedia-api (<< 32.5-0)
Homepage: Autonomous Machines | NVIDIA Developer
Priority: standard
Section: metapackages
Filename: pool/main/n/nvidia-jetpack/nvidia-jetpack_4.4.1-b50_arm64.deb
Size: 29392
SHA256: 37e6e5f002431266e2cf511caef56e3317d024c742d0745bacf4c2f8490834f4
SHA1: 1b533907d37703fd32eddeb0c30430c6ccc46c5d
MD5sum: 10e73b0b581f4bdf41f004de1cebd0cd
Description: NVIDIA Jetpack Meta Package
Description-md5: ad1462289bdbc54909ae109d1d32c0a8

Package: nvidia-jetpack
Version: 4.4-b186
Architecture: arm64
Maintainer: NVIDIA Corporation
Installed-Size: 194
Depends: nvidia-cuda (= 4.4-b186), nvidia-opencv (= 4.4-b186), nvidia-cudnn8 (= 4.4-b186), nvidia-tensorrt (= 4.4-b186), nvidia-visionworks (= 4.4-b186), nvidia-container (= 4.4-b186), nvidia-vpi (= 4.4-b186), nvidia-l4t-jetson-multimedia-api (>> 32.4-0), nvidia-l4t-jetson-multimedia-api (<< 32.5-0)
Homepage: Autonomous Machines | NVIDIA Developer
Priority: standard
Section: metapackages
Filename: pool/main/n/nvidia-jetpack/nvidia-jetpack_4.4-b186_arm64.deb
Size: 29346
SHA256: 64f791ddc010f5769b838e7bc28225bb1cc836888c2b7c1989efc396b6b8a7e0
SHA1: 12532999c9fa4688cad2d8506174f77ec696e98a
MD5sum: 4412e36f9dba41a27013b8193c918870
Description: NVIDIA Jetpack Meta Package
Description-md5: ad1462289bdbc54909ae109d1d32c0a8

Package: nvidia-jetpack
Version: 4.4-b144
Architecture: arm64
Maintainer: NVIDIA Corporation
Installed-Size: 195
Depends: nvidia-container-csv-cuda (= 10.2.89-1), libopencv-python (= 4.1.1-2-gd5a58aa75), libvisionworks-sfm-dev (= 0.90.4.501), libvisionworks-dev (= 1.6.0.501), libnvparsers7 (= 7.1.0-1+cuda10.2), libnvinfer-plugin-dev (= 7.1.0-1+cuda10.2), libnvonnxparsers7 (= 7.1.0-1+cuda10.2), libnvinfer-samples (= 7.1.0-1+cuda10.2), libnvinfer-bin (= 7.1.0-1+cuda10.2), libvisionworks-samples (= 1.6.0.501), libvisionworks-tracking-dev (= 0.88.2.501), vpi-samples (= 0.2.0), tensorrt (= 7.1.0.16-1+cuda10.2), libopencv (= 4.1.1-2-gd5a58aa75), libnvinfer-doc (= 7.1.0-1+cuda10.2), libnvparsers-dev (= 7.1.0-1+cuda10.2), libnvidia-container0 (= 0.9.0~beta.1), nvidia-container-csv-visionworks (= 1.6.0.501), cuda-toolkit-10-2 (= 10.2.89-1), graphsurgeon-tf (= 7.1.0-1+cuda10.2), libcudnn8 (= 8.0.0.145-1+cuda10.2), libopencv-samples (= 4.1.1-2-gd5a58aa75), nvidia-container-csv-cudnn (= 8.0.0.145-1+cuda10.2), python-libnvinfer-dev (= 7.1.0-1+cuda10.2), libnvinfer-plugin7 (= 7.1.0-1+cuda10.2), libvisionworks (= 1.6.0.501), libcudnn8-doc (= 8.0.0.145-1+cuda10.2), nvidia-container-toolkit (= 1.0.1-1), libnvinfer-dev (= 7.1.0-1+cuda10.2), nvidia-l4t-jetson-multimedia-api (>> 32.4-0), nvidia-l4t-jetson-multimedia-api (<< 32.5-0), libopencv-dev (= 4.1.1-2-gd5a58aa75), vpi-dev (= 0.2.0), vpi (= 0.2.0), libcudnn8-dev (= 8.0.0.145-1+cuda10.2), python3-libnvinfer (= 7.1.0-1+cuda10.2), python3-libnvinfer-dev (= 7.1.0-1+cuda10.2), opencv-licenses (= 4.1.1-2-gd5a58aa75), nvidia-container-csv-tensorrt (= 7.1.0.16-1+cuda10.2), libnvinfer7 (= 7.1.0-1+cuda10.2), libnvonnxparsers-dev (= 7.1.0-1+cuda10.2), uff-converter-tf (= 7.1.0-1+cuda10.2), nvidia-docker2 (= 2.2.0-1), libvisionworks-sfm (= 0.90.4.501), libnvidia-container-tools (= 0.9.0~beta.1), nvidia-container-runtime (= 3.1.0-1), python-libnvinfer (= 7.1.0-1+cuda10.2), libvisionworks-tracking (= 0.88.2.501)
Conflicts: cuda-command-line-tools-10-0, cuda-compiler-10-0, cuda-cublas-10-0, cuda-cublas-dev-10-0, cuda-cudart-10-0, cuda-cudart-dev-10-0, cuda-cufft-10-0, cuda-cufft-dev-10-0, cuda-cuobjdump-10-0, cuda-cupti-10-0, cuda-curand-10-0, cuda-curand-dev-10-0, cuda-cusolver-10-0, cuda-cusolver-dev-10-0, cuda-cusparse-10-0, cuda-cusparse-dev-10-0, cuda-documentation-10-0, cuda-driver-dev-10-0, cuda-gdb-10-0, cuda-gpu-library-advisor-10-0, cuda-libraries-10-0, cuda-libraries-dev-10-0, cuda-license-10-0, cuda-memcheck-10-0, cuda-misc-headers-10-0, cuda-npp-10-0, cuda-npp-dev-10-0, cuda-nsight-compute-addon-l4t-10-0, cuda-nvcc-10-0, cuda-nvdisasm-10-0, cuda-nvgraph-10-0, cuda-nvgraph-dev-10-0, cuda-nvml-dev-10-0, cuda-nvprof-10-0, cuda-nvprune-10-0, cuda-nvrtc-10-0, cuda-nvrtc-dev-10-0, cuda-nvtx-10-0, cuda-samples-10-0, cuda-toolkit-10-0, cuda-tools-10-0, libcudnn7, libcudnn7-dev, libcudnn7-doc, libnvinfer-plugin6, libnvinfer6, libnvonnxparsers6, libnvparsers6
Homepage: Autonomous Machines | NVIDIA Developer
Priority: standard
Section: metapackages
Filename: pool/main/n/nvidia-jetpack/nvidia-jetpack_4.4-b144_arm64.deb
Size: 30394
SHA256: 1d9d4937623862e4990d25df9a0dd09c78ddbbc4919d1f4c9bf4cd8df09b8869
SHA1: 0608076bbb7ee28f2c388532594ff1951f99e61b
MD5sum: 2c12a5042171a8caa2dd3e4a32246cd2
Description: NVIDIA Jetpack Meta Package
Description-md5: ad1462289bdbc54909ae109d1d32c0a8

Hi,

Do you indicate the system freeze from the Fusing layers... step?

In general, there are some conversion/compiling jobs at the initial time.
Based on the log, it looks like some underlying work is ongoing rather than a system freeze.
Do we miss anything?

Thanks.

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