How to use
Install PyTorch from NVidia pre-built source files.
If you already have pytorch, make sure it is same version as mentioned below.
If the version is different, reinstall with the following command or install torchvision matches your environment.
#For python 3.8, pytorch==2.0.x
pip install https://developer.download.nvidia.cn/compute/redist/jp/v511/pytorch/torch-2.0.0+nv23.05-cp38-cp38-linux_aarch64.whl
#For python 3.6, pytorch==1.11.x
pip install https://developer.download.nvidia.cn/compute/redist/jp/v461/pytorch/torch-1.11.0a0+17540c5+nv22.01-cp36-cp36m-linux_aarch64.whl
Once you have done installing PyTorch, install the dependencies with the script provided below.
sudo pip install --force-reinstall --no-deps gdown
#For python 3.8
gdown 1qyUnxLiLsrsFvldgQGjDZUisVH_ag93o
sudo chmod +x install_dependencies_cp38.sh
./install_dependencies_cp38.sh
#For python 3.6
gdown 1b27FWdzBgzNJB371vjEw36ZsQnkJx8EI
sudo chmod +x install_dependencies_cp36.sh
./install_dependencies_cp36.sh
Release files for pop-jetson 0.0.9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pop_jetson-0.0.9-py3-none-any.whl | Python 3 | none | any | Details |
Release files / pop_jetson-0.0.9-py3-none-any.whl
| Download URL | pop_jetson-0.0.9-py3-none-any.whl |
|---|---|
| Size | 72.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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| Uploaded via |
twine/5.0.0 CPython/3.8.10
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