No matching distribution found for numpy (from torch==1.10)
Working on Ubuntu 18.04 in a VM.

I have python3 installed at /usr/bin/python3.6 according to whereis python3.
When I run pip3 freeze, I see numpy installed, with version 1.15.4, and when I enter into python3 console, I can import numpy as np perfectly fine with no errors.

What I am trying to do now is to install PyTorch, specifically torch==1.1.0, without GPU / CUDA.
I got the following installation instructions from https://pytorch.org/get-started/locally/:

pip3 install https://download.pytorch.org/whl/cpu/torch-1.1.0-cp36-cp36m-linux_x86_64.whl
pip3 install https://download.pytorch.org/whl/cpu/torchvision-0.3.0-cp36-cp36m-linux_x86_64.whl


I downloaded these wheel files, and tried to run them from local directory as such:

/usr/bin/python3.6 -m pip install ~/Desktop/torch-1.1.0-cp36-cp36m-linux_x86_64.whl


and got the following error:

No matching distribution found for numpy (from torch==1.1.0)


I don't understand why this is the case, cause my numpy library is clearly already installed and working (READ ABOVE: I am able to import numpy in python3 console). Also, I had no issues installing PyTorch with GPU on my Windows machine, with torch 1.1.0 and numpy 1.15.4.

Alternatively, I tried to build PyTorch from source by moving into the PyTorch source directory and executing /usr/bin/python3 setup.py install, but it didn't work since I am not using a GPU, and CUDA is not installed. I am not able to find instructions on how I can build PyTorch from source without GPU in a Linux environment?

Can anyone kindly advise? Thank you!

Some additional information
(1) Tried to install PyTorch with the --no-dependencies flag as suggested by @Jan, and it installed, but I am not sure if Torch will really work perfectly.
(2) which pip3 points to /usr/bin/pip3
(3) pip3 show numpy tells me that the location is at /home/name/.local/lib/python3.6/site-packages

If you are sure that all dependencies are manually installed, you could try --no-dependencies flag for pip3. Otherwise, I would point you to Anaconda as python environment provider, it is pretty convenient. 
