ninja: error: loading 'build.ninja': No such file or directory

[y-ksenia]

Hi!

I faced problem with using ninja on Linux for pytorch.
I used binary and put it into the anaconda3/bin/ directory. And when I run ninja -v I got error

ninja: error: loading 'build.ninja': No such file or directory

>>> torch.__version__
'1.2.0'

conda info:

     active environment : base
    active env location : /home/y-ksenia/anaconda3
            shell level : 1
       user config file : /home/y-ksenia/.condarc
 populated config files : 
          conda version : 4.5.11
    conda-build version : 3.15.1
         python version : 3.7.4.final.0
       base environment : /home/y-ksenia/anaconda3  (writable)
           channel URLs : https://repo.anaconda.com/pkgs/main/linux-64
                          https://repo.anaconda.com/pkgs/main/noarch
                          https://repo.anaconda.com/pkgs/free/linux-64
                          https://repo.anaconda.com/pkgs/free/noarch
                          https://repo.anaconda.com/pkgs/r/linux-64
                          https://repo.anaconda.com/pkgs/r/noarch
                          https://repo.anaconda.com/pkgs/pro/linux-64
                          https://repo.anaconda.com/pkgs/pro/noarch
          package cache : /home/y-ksenia/anaconda3/pkgs
                          /home/y-ksenia/.conda/pkgs
       envs directories : /home/y-ksenia/anaconda3/envs
                          /home/y-ksenia/.conda/envs
               platform : linux-64
             user-agent : conda/4.5.11 requests/2.19.1 CPython/3.7.4 Linux/4.4.171-70.1 ubuntu/18.04 glibc/2.27
                UID:GID : 77727:22420
             netrc file : None
           offline mode : False

What I am doing wrong?

PS: tried to build my own binary running ./configure.py --bootstrap, it works if I run ./ninja, so how to run it in conda?

[y-ksenia]

The problem was in other thing, not ninja.

[dzyjjpy]

@yagafarova Hi I have same issue. How do you solve the error?
could you pls share your experience? Here is my description.
HRNet/HRNet-Semantic-Segmentation#104

Thanks