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November 5, 2018 09:49
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Installing PyTorch on Jetson-TX2 for Python2.7
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# First of all install python pip | |
sudo apt-get install python-pip | |
# Upgrading pip using `pip install -U pip` gave me errors after, | |
# so I will be avoiding that. | |
# Clone pytorch repo | |
git clone http://github.com/pytorch/pytorch | |
# Enter the folder | |
cd pytorch/ | |
# Checkout to v0.4.0 (Version I want) | |
git checkout -b v0.4.0 v0.4.0 | |
# Get the required submodules | |
git submodule update --init | |
# install prereqs | |
sudo pip install -U setuptools | |
sudo pip install -r requirements.txt | |
# Set environment variables | |
export CUDNN_LIB_DIR=/usr/lib/aarch64-linux-gnu | |
export CUDNN_INCLUDE_DIR=/usr/include | |
export CUDA_HOME=/usr/local/cuda # Provide path where CUDA is present | |
# Install PyTorch | |
sudo python setup.py install # Pytorch | |
sudo pip install torchvision # Torchvision package that supports the PyTorch library | |
# Testing if PyTorch with GPU is installed | |
# import torch | |
# print(torch.__version__) | |
## Out: 0.4.0a0+3749c58 | |
# print(torch.cuda.is_available()) | |
## Out: True | |
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