How to do it...

We will begin by installing Anaconda. You can skip this if you already have Anaconda for Python 3.6 or 3.7 running on your system. Otherwise, you can follow the instructions at https://docs.anaconda.com/anaconda/install/ for your operating system, as follows:  

Feel free to play around with PyTorch once the setup is done. To verify that you have the right setup of Anaconda and Python, you can enter the following line in your Terminal in Linux/Mac or Command Prompt in Windows (from now on, we will just call it Terminal):

python

It will display your Python Anaconda environment. You should see something similar to the following screenshot:

If Anaconda and Python 3.x are not mentioned, please check the system path or the path Python is running from.

The next thing to do is to install PyTorch. First, go to https://pytorch.org/get-started/locally/ and pick the description of your environment from the following table:

Here, we use Mac, Conda, Python 3.7, and running locally (no CUDA) as an example, and enter the resulting command line in the Terminal:

conda install pytorch torchvision -c pytorch

To confirm PyTorch is installed correctly, run the following lines of code in Python:

>>> import torch
>>> x = torch.empty(3, 4)
>>> print(x)
tensor([[ 0.0000e+00,  2.0000e+00, -1.2750e+16, -2.0005e+00],
        [ 9.8742e-37,  1.4013e-45, 9.9222e-37,  1.4013e-45],
        [ 9.9220e-37,  1.4013e-45, 9.9225e-37,  2.7551e-40]])

If a 3 x 4 matrix is displayed, that means PyTorch is installed correctly.

Now we have successfully set up the working environment.