nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2021 NVIDIA Corporation
Built on Sun_Feb_28_22:34:44_PST_2021
Cuda compilation tools, release 10.2, V10.2.300
Build cuda_10.2_r440.TC440_70.29663091_0
cuda_10.2
python3.6
PyTorch for Jetson - version 1.10 now available
- PyTorch v1.7 - torchvision v0.8.1
Install jetson pytorch:
https://forums.developer.nvidia.com/t/pytorch-for-jetson-version-1-10-now-available/72048
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pytorch
wget https://nvidia.box.com/shared/static/p57jwntv436lfrd78inwl7iml6p13fzh.whl -O torch-1.10.0-cp36-cp36m-linux_aarch64.whl
sudo apt-get install python3-pip libopenblas-base libopenmpi-dev
pip3 install Cython
pip3 install torch-1.7.0-cp36-cp36m-linux_aarch64.whl
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$sudo apt-get install libjpeg-dev zlib1g-dev libpython3-dev libavcodec-dev libavformat-dev libswscale-dev$
$git clone --branch v0.12.0 https://github.com/pytorch/vision torchvision # see below for version of torchvision to download
cd torchvision
export BUILD_VERSION=0.8.1 # where 0.x.0 is the torchvision version
python3 setup.py install --user
$ cd ../ # attempting to load torchvision from build dir will result in import error
$pip install 'pillow<7' # always needed for Python 2.7, not needed torchvision v0.5.0+ with Python 3.6
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sudo apt-cache show nvidia-jetpack
It will show something like:
Package: nvidia-jetpack
Version: 4.4-b144
Architecture: arm64
Maintainer: NVIDIA Corporation
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cuda version
$ cat /usr/local/cuda/version.txt
CUDA Version 10.2.300
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ls /usr/local/cuda*
cat /usr/local/cuda/include/cudnn.h | grep CUDNN_MAJOR -A 2
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workable pytorch in TX2 w/ python3.6 CUDA 10.2, jetpack 4.4
https://developer.nvidia.com/embedded/downloads
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pip3 install --no-deps torchvision
Collecting torchvision
Using cached https://files.pythonhosted.org/packages/fb/01/03fd7e503c16b3dc262483e5555ad40974ab5da8b9879e164b56c1f4ef6f/torchvision-0.2.2.post3-py2.py3-none-any.whl
Installing collected packages: torchvision
Successfully installed torchvision-0.2.2.post3
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