nsavinov / sptm Goto Github PK
View Code? Open in Web Editor NEW[ICLR 2018] Tensorflow/Keras code for Semi-parametric Topological Memory for Navigation
License: MIT License
[ICLR 2018] Tensorflow/Keras code for Semi-parametric Topological Memory for Navigation
License: MIT License
File "/data_1/codes/SPTM/src/test/navigator.py", line 24, in setup_video
nonstop=True)
File "../common/util.py", line 142, in init
framerate=FPS)
File "../common/video_writer.py", line 37, in init
self.proc = sp.Popen(command, stdin=sp.PIPE)
File "/home/yty/anaconda2/lib/python2.7/subprocess.py", line 394, in init
errread, errwrite)
File "/home/yty/anaconda2/lib/python2.7/subprocess.py", line 1047, in _execute_child
raise child_exception
OSError: [Errno 2] No such file or directory
I faced this problem multiple times, reinstalling my operating system is useless. The terminal gave error information as:
subprocess.CalledProcessError: Command '['make', '-j', '15']' returned non-zero exit status 2
----------------------------------------
Command "/home/fzh/anaconda2/envs/sptm/bin/python -u -c "import setuptools, tokenize;file='/tmp/pip-build-nF1IP4/vizdoom/setup.py';f=getattr(tokenize, 'open', open)(file);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, file, 'exec'))" install --record /tmp/pip-6yOgem-record/install-record.txt --single-version-externally-managed --compile" failed with error code 1 in /tmp/pip-build-nF1IP4/vizdoom/
My device runs ubuntu18.04 with RTX3060, and I installed CUDA11.5+CUDNN8.2.4. However I noticed that SPTM's anaconda2 enviornment equips CUDA much earlier that my RTX3060 does not support(RTX3060 only supports CUDA later than 11.0 according to official document). Under the base environment I cannot install ViZDoom via pip, but can build it from souce code.
However, under the anaconda2 enviornment sptm given by setup.sh in SPTM folder I can neither build ViZDoom from source code nor install it via pip or pip3. I would be appreciate if you can solve this problem for me T_T.
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