[1] Setup Virtual Environments with Anaconda
Test environments :
(1) Python : 3.7
(2) PyTorch : 1.3.0
(3) CUDA : none
$ conda create -n pytorch_test_env1 python=3.7
You can run the created environments by,
$ conda activate pytorch_test_env1
Now you can download torchvision by,
$ pip install torch==1.3.0+cpu torchvision==0.4.1+cpu -f https://download.pytorch.org/whl/torch_stable.htm
The reason for not using a GPU is that installing CUDA is quite complicated for individual computer environment.
In this tutorial, we are only going to focus ‘neural networks’, so I skipped installing CUDA.
You can also download numpy, matplotlib and scikit-learn
$ pip install numpy matplotlib scikit-learn
[2] Check PyTorch
You can check installation success by importing PyTorch in python
$ python
$ import torch