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gpu support from pip install version #2
Description
When I use pip to install scs and test with solve_random_cone_prob_gpu.py
~/scs-python$ python test/solve_random_cone_prob_gpu.py
Traceback (most recent call last):
File "test/solve_random_cone_prob_gpu.py", line 75, in <module>
main()
File "test/solve_random_cone_prob_gpu.py", line 14, in main
solve_feasible()
File "test/solve_random_cone_prob_gpu.py", line 34, in solve_feasible
sol_i = scs.solve(data, K, gpu=True, **params)
File "/home/xxxx/anaconda3/lib/python3.6/site-packages/scs/__init__.py", line 56, in solve
import _scs_gpuMust I install scs-python from source if I want the GPU feature?
Another question, if possible to be answered, is that when I use GPU version pytorch or tensorflow combining with this GPU-version scs, will there be some additional data transferring costs? I suppose not since the data are already loaded to GPU.
Thanks a lot for attention!
Activity
bodono commentedon Apr 16, 2018
Currently it's not automatically built when installing via pip since not everyone has a GPU and CUDA installed, though we could add it inside a try-except block.
Not sure what you mean with respect to pytorch / TF, but generally speaking SCS will only transfer the main data matrix to the GPU once at the very start of the run.