Install setup of thinc cannot find nvcc in the $PATH

[dineshdharme]

So I was following the guide to install spacy with gpu support : https://spacy.io/usage/
I already have cuda installed with CUDA_HOME variable set as mentioned in the above link
I ran the following command. I have both python2.7 and python3 (-> python3.6)

Related issues :
explosion/spaCy#1247

sudo pip3 install spacy
python3 -c "import thinc.neural.gpu_ops"  

I got the following error,

Traceback (most recent call last):
File "", line 1, in
ModuleNotFoundError: No module named 'thinc.neural.gpu_ops'

I have successfully installed cupy from Chainer as well. Then uninstalled thinc and again installed thinc. But same error.

I uninstalled thinc and then installed it again with specifying the install log file.
sudo pip3 install thinc --log thinclogs.txt --no-cache-dir

From the logs, it seems that it is unable to find nvcc. But I can clearly access nvcc with nvcc -V command on the terminal.
Here are the relevant logs.

Downloading thinc-6.10.2.tar.gz (1.2MB)
Downloading from URL https://pypi.python.org/packages/55/fd/e9f36081e6f53699943381858848f3b4d759e0dd03c43b98807dde34c252/thinc-6.10.2.tar.gz#md5=41f4cd26d3e894600cdd36e3cd074239 (from https://pypi.python.org/simple/thinc/)
Running setup.py (path:/tmp/pip-build-xmgkus0e/thinc/setup.py) egg_info for package thinc
Running command python setup.py egg_info
Warning: The nvcc binary could not be located in your $PATH. For GPU capability, either add it to your path, or set $CUDA_HOME
running egg_info
creating pip-egg-info/thinc.egg-info
writing pip-egg-info/thinc.egg-info/PKG-INFO
writing dependency_links to pip-egg-info/thinc.egg-info/dependency_links.txt
writing requirements to pip-egg-info/thinc.egg-info/requires.txt
writing top-level names to pip-egg-info/thinc.egg-info/top_level.txt
writing manifest file 'pip-egg-info/thinc.egg-info/SOURCES.txt'
reading manifest file 'pip-egg-info/thinc.egg-info/SOURCES.txt'
reading manifest template 'MANIFEST.in'
warning: no files found matching '*.cpp' under directory 'include'
warning: no files found matching 'buildbot.json'
writing manifest file 'pip-egg-info/thinc.egg-info/SOURCES.txt'

Your Environment

• spaCy version: 2.0.5
• Platform: Linux-4.13.0-19-generic-x86_64-with-Ubuntu-17.10-artful
• Python version: 3.6.3
• Environment Information: I have Cuda 8 with gtx 1080

[mattmelling]

Same issue here - I found that my PATH environment variable wasn't getting passed through sudo.

There are a few ways to get around this:

• Install locally with pip install --user thinc
• Edit your /etc/environment to include your CUDA path, reboot and try installing again.
• Drop into a root shell via sudo -i, update your PATH and install from there, or use a one liner to force your PATH into the root environment, e.g. sudo PATH=$PATH su -c "pip install thinc"

I couldn't find any reference in the docs about needing to install as root, so local install is probably safest.

[honnibal]

Finally managed to improve this in 6.11.2:

• Now smarter about finding the path automatically (at least looks in the default place)
• You can now specify GPU usage as an "extra", so you can depend on thinc[cuda]. Usefully, you can do thinc[cuda90], thinc[cuda91] or thinc[cuda80] to install the appropriate cupy wheel.