[REQUEST] build script for pytorch or up to date pytorh binary release supporting jetson boards running L4T35.6(ubuntu20.04)

Robotics & Edge Computing Jetson Systems Jetson Orin Nano
4

@AastaLLL I need latest build for Jetpack 5.1.4 (L4T35.6) , not Jetpack 6.x. Thanks.

Do you have PyTorch v2.3.0 for Jetpack 5.1.4 (L4T35.6) ?

EDIT: Currently, we have 2.1.0a0+41361538.nv23.06 for Jetpack 5.1.4 (L4T35.6), which is based on ubuntu20.04. I don’t think PyTorch v2.3.0 for Jetpack 6.0 (L4T 36.2), which is based on ubutnu22.04 can be installed properly on my current env.

Software part of jetson-stats 4.2.12 - (c) 2024, Raffaello Bonghi
Model: NVIDIA Orin Nano Developer Kit - Jetpack 5.1.4 [L4T 35.6.0]
NV Power Mode[0]: 15W
Serial Number: [XXX Show with: jetson_release -s XXX]
Hardware:
 - P-Number: p3767-0005
 - Module: NVIDIA Jetson Orin Nano (Developer kit)
Platform:
 - Distribution: Ubuntu 20.04 focal
 - Release: 5.10.216-tegra
jtop:
 - Version: 4.2.12
 - Service: Active
Libraries:
 - CUDA: 11.4.315
 - cuDNN: 8.6.0.166
 - TensorRT: 8.5.2.2
 - VPI: 2.4.8
 - OpenCV: 4.9.0 - with CUDA: YES
DeepStream C/C++ SDK version: 6.3

Python Environment:
Python 3.8.10
    GStreamer:                   YES (1.16.3)
  NVIDIA CUDA:                   YES (ver 11.4, CUFFT CUBLAS FAST_MATH)
        OpenCV version: 4.9.0  CUDA True
          YOLO version: 8.3.33
         Torch version: 2.1.0a0+41361538.nv23.06
   Torchvision version: 0.16.1+fdea156
DeepStream SDK version: 1.1.8

EDIT2: And I haven’t see any EOL announcement of jetpack 5 yet, so I made two choices above for the long term support of Jetpack 5.x series.

EDIT3: @AastaLLL I didn’t find building command in the link you provided above. I only find wheel installation commands. What I mean is build from code, If NVIDIA has it’s private code then it will provide libs which would link to the opensource.