Linux 35.6 + JetPack v5.1.4之 pytorch升级

1. 源由
2. 升级
- 步骤1：获取二进制版本
- 步骤2：安装二进制版本
- 步骤3：获取torchvision
- 步骤4：安装torchvision
- 步骤5：检查安装版本
3. 使用
4. 补充
- 4.1 torchvision版本问题
- 4.2 支持pytorch版本
- 4.3 opencv-python>=4.6.0问题

1. 源由

鉴于之前NVIDIA提供基于JetPack v5.1.4二进制pytorch版本最高为 v2.1.0。

经过不断地各方努力，《Linux 35.6 + JetPack v5.1.4之编译 pytorch》，我们已经有了python3.8.0的 pytorch v2.4.1.

2. 升级

步骤1：获取二进制版本

$ wget https://github.com/SnapDragonfly/pytorch/releases/download/v2.3.1%2Bl4t35.6-cp38-cp38-aarch64/torch-2.3.1+l4t35.6-cp38-cp38-linux_aarch64.whl

步骤2：安装二进制版本

$ sudo pip3 install torch-2.3.1+l4t35.6-cp38-cp38-linux_aarch64.whl

步骤3：获取torchvision

$ git clone https://github.com/SnapDragonfly/vision.git torchvision
$ cd torchvision
$ git checkout nvidia_v0.19.1

关于pytorch和torchvision之间的版本匹配问题，详见：

Installing previous versions of PyTorch
torchvision Project
torchvision Github

步骤4：安装torchvision

$ export BUILD_VERSION=0.19.1
$ sudo python3 setup.py install --user
$ cd ..

步骤5：检查安装版本

$ git clone https://github.com/SnapDragonfly/jetson-fpv.git
$ cd jetson-fpv
$ sudo ./wrapper.sh version
[sudo] password for daniel:
Skipping CMD_KEYMONITOR execution for module 'version'.
Executing command on module version: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: 6.3Python Environment:
Python 3.8.10GStreamer:                   YES (1.16.3)NVIDIA CUDA:                   YES (ver 11.4, CUFFT CUBLAS FAST_MATH)OpenCV version: 4.9.0  CUDA TrueYOLO version: 8.3.33Torch version: 2.4.1+l4t35.6Torchvision version: 0.19.1a0+6194369
DeepStream SDK version: 1.1.8

3. 使用

略，参考《Ardupilot开源无人机之Geek SDK讨论》

SnapDragonfly/jetson-fpv

在这里插入图片描述

$ cd jetson-fpv
$ sudo ./wrapper.sh dsyolo start

4. 补充

4.1 torchvision版本问题

若仍然使用之前NVIDIA安装 v2.1.0 版本对应的 torchvision v0.16.1 或者 0.16.2 则会出现以下报错！

$ sudo ./wrapper.sh version
Skipping CMD_KEYMONITOR execution for module 'version'.
Executing command on module version: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- Vulkan: 1.3.204- OpenCV: 4.9.0 - with CUDA: YES
DeepStream C/C++ SDK version: 6.3Python Environment:
Python 3.8.10GStreamer:                   YES (1.16.3)NVIDIA CUDA:                   YES (ver 11.4, CUFFT CUBLAS FAST_MATH)OpenCV version: 4.9.0  CUDA TrueYOLO version: WARNING ⚠️ torchvision==0.16 is incompatible with torch==2.4.
Run 'pip install torchvision==0.19' to fix torchvision or 'pip install -U torch torchvision' to update both.
For a full compatibility table see https://github.com/pytorch/vision#installation
8.3.33Torch version: 2.4.1+l4t35.6Torchvision version: 0.16.1+fdea156
DeepStream SDK version: 1.1.8

4.2 支持pytorch版本

目前，支持4个pytorch版本：

Release pytorch-v2.4.1+l4t35.6-cp38-cp38-aarch64
Release pytorch-v2.3.1+l4t35.6-cp38-cp38-aarch64
Release pytorch_v2.2.2+l4t35.6-cp38-cp38-aarch64
Release pytorch_v2.1.2+l4t35.6-cp38-cp38-aarch64

4.3 opencv-python>=4.6.0问题

实际笔者环境是OpenCV4.9.0，但是还是报错；而使用python代码没有问题。

$ sudo pip3 install torch-2.4.1+l4t35.6-cp38-cp38-linux_aarch64.whl
[sudo] password for daniel:
Processing ./torch-2.4.1+l4t35.6-cp38-cp38-linux_aarch64.whl
Requirement already satisfied: jinja2 in /usr/lib/python3/dist-packages (from torch==2.4.1+l4t35.6) (2.10.1)
Requirement already satisfied: sympy in /usr/local/lib/python3.8/dist-packages (from torch==2.4.1+l4t35.6) (1.13.3)
Requirement already satisfied: fsspec in /usr/local/lib/python3.8/dist-packages (from torch==2.4.1+l4t35.6) (2024.10.0)
Requirement already satisfied: networkx in /usr/local/lib/python3.8/dist-packages (from torch==2.4.1+l4t35.6) (3.1)
Requirement already satisfied: typing-extensions>=4.8.0 in /usr/local/lib/python3.8/dist-packages (from torch==2.4.1+l4t35.6) (4.12.2)
Requirement already satisfied: filelock in /usr/lib/python3/dist-packages (from torch==2.4.1+l4t35.6) (3.0.12)
Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.8/dist-packages (from sympy->torch==2.4.1+l4t35.6) (1.3.0)
ERROR: ultralytics 8.3.33 requires opencv-python>=4.6.0, which is not installed.
Installing collected packages: torchAttempting uninstall: torchFound existing installation: torch 2.1.0a0+41361538.nv23.6Uninstalling torch-2.1.0a0+41361538.nv23.6:Successfully uninstalled torch-2.1.0a0+41361538.nv23.6
Successfully installed torch-2.4.1+l4t35.6