i have jetson orin nano with jetpack 6.2.1.
i want to install pytorch 1.9.0 in it with python 3.9 or lower.
can build it from the source github ?
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To install PyTorch 1.9 on your Jetson Orin Nano with JetPack 6.2.1, you have a few options. Before we dive into the installation process, let’s ensure your device meets the necessary requirements.
Hardware Requirements:
Your Jetson Orin Nano should have a minimum of 8GB of memory and a 128GB (or larger) NVMe drive. Additionally, you’ll need a USB-C flashing cable, a monitor, keyboard, and mouse for the setup process.
Software Requirements:
You’ve mentioned that you’re running JetPack 6.2.1, which is compatible with PyTorch 1.9. You’ll also need to ensure you have the necessary dependencies installed.
Installing PyTorch 1.9:
There are two primary methods to install PyTorch 1.9 on your Jetson Orin Nano:
- Pre-built Wheels:
You can try installing PyTorch using pre-built wheels, which are available for Jetson devices. This method is quicker and more straightforward. You can use the following command:
pip3 install --extra-index-url https://developer.download.nvidia.com/compute/redist/jp/v46/pytorch pytorch==1.9.0+cu11.4
This command installs PyTorch 1.9 with CUDA 11.4 support.
- Building from Source:
If you prefer to build PyTorch from source, you can follow these steps:
# Install dependencies
sudo apt-get update
sudo apt-get install -y libopenblas-base libopenmpi-dev libomp-dev
# Clone the PyTorch repository
git clone --recursive https://github.com/pytorch/pytorch.git
# Checkout the PyTorch 1.9 branch
cd pytorch
git checkout v1.9.0
# Build PyTorch
python setup.py install
This process will take longer, as it builds PyTorch from source.
Comparison of Methods:
Both methods have their advantages. The pre-built wheel method is faster and more convenient, while building from source provides more control over the installation process.
Additional Tips:
- Ensure you have the necessary dependencies installed before installing PyTorch.
- If you encounter issues during the installation process, you can try cleaning the build directory and restarting the installation process.
- You can verify the PyTorch installation by running a simple test script, such as:
import torch
print(torch.__version__)
This should output the PyTorch version you just installed.
In summary, you can install PyTorch 1.9 on your Jetson Orin Nano with JetPack 6.2.1 using either pre-built wheels or by building from source. Both methods have their advantages, and you can choose the one that best suits your needs.
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Hi,
On JetPack 6.2.1, it by default uses Python 3.10 and PyTorch 2.6+.
But you can build it from the source manually.
The detailed steps are already shared in the comment above.
Thanks.
Hi
can i download Python 3.9 or lower and build it from the source manually ?
or i switch to JetPack 5.4.4
thanks
Hi,
You can give it a try.
We have users that upgrades to the custom Python 3.12.
So the downgrade should work but you might need to handle some compatibility issue manually.
Thanks.