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I'm trying to install PyTorch with CUDA support on a Jetson Nano. It's running the Ubuntu 18.04 that the jetson-nano-jp461-sd-card-image image from Nvidia put on it with Python 3.6.9, CUDA 10.2, and JetPack 4.6.6. I tried:
pip3 install torch --index-url
but this gives me the CPU-only version, and I need CUDA support for the Nano's GPU. I also tried
git clone --recursive --branch v1.8.0
and installing, but it is really, really, slow.
Is there a pre-built wheel available for this specific configuration? Many thanks in advance.
I'm trying to install PyTorch with CUDA support on a Jetson Nano. It's running the Ubuntu 18.04 that the jetson-nano-jp461-sd-card-image image from Nvidia put on it with Python 3.6.9, CUDA 10.2, and JetPack 4.6.6. I tried:
pip3 install torch --index-url https://download.pytorch./whl/cpu
but this gives me the CPU-only version, and I need CUDA support for the Nano's GPU. I also tried
git clone --recursive --branch v1.8.0 https://github/pytorch/pytorch
and installing, but it is really, really, slow.
Is there a pre-built wheel available for this specific configuration? Many thanks in advance.
Share Improve this question asked Feb 24 at 2:56 DribblerDribbler 4,70110 gold badges37 silver badges57 bronze badges1 Answer
Reset to default 0For those who may be searching, this worked for me:
sudo apt-get install python3-pip libopenblas-base libopenmpi-dev libomp-dev
pip3 install 'Cython<3'
pip3 install numpy
wget https://nvidia.box/shared/static/fjtbno0vpo676a25cgvuqc1wty0fkkg6.whl -O torch-1.10.0-cp36-cp36m-linux_aarch64.whl
sudo pip3 install torch-1.10.0-cp36-cp36m-linux_aarch64.whl
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