Install procedure for Pytorch for CUDA 10

# do all the stuff in the local environment
virtualenv -p python3 venv
source venv/bin/activate

# clone pyTorch repo
git clone http://github.com/pytorch/pytorch
cd pytorch
git submodule update --init

# install prereqs
sudo pip install -U setuptools
sudo pip install -r requirements.txt

# develop mode:
python setup.py build_deps
python setup.py develop

# OR install mode
python setup.py install

#### verify it ###
# (venv) ~/t ❯❯❯ python
# Python 3.6.6 (default, Sep 12 2018, 18:26:19)
# [GCC 8.0.1 20180414 (experimental) [trunk revision 259383]] on linux
# Type "help", "copyright", "credits" or "license" for more information.
# >>> import torch
# >>> print(torch.__version__)
# 1.0.0a0+9cb4bce
# >>> print(torch.cuda.is_available())
# True
# >>> a = torch.cuda.FloatTensor(2)
# /home/nick/tf-test/pytorch/torch/cuda/__init__.py:117: UserWarning:
#     Found GPU0 GeForce GTX 660M which is of cuda capability 3.0.
#     PyTorch no longer supports this GPU because it is too old.
#
#   warnings.warn(old_gpu_warn % (d, name, major, capability[1]))
# >>> print(a)
# tensor([-1.9131e-37,  1.7738e-18], device='cuda:0')
# >>> b = torch.randn(2).cuda()
# >>> print(b)
# tensor([-0.7758, -0.4208], device='cuda:0')
# >>> c = a + b
# >>> print(c)
# tensor([-0.7758, -0.4208], device='cuda:0')
# >>>