-
Notifications
You must be signed in to change notification settings - Fork 483
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Failed installation when running './install.sh' #239
Comments
@msiraj83 Did u solve this problem? I am taking the same error. |
./clean.sh |
Thank you so much, @pkuwwt |
did not solve the problem for me, also cuda this was finally solved for me by editing install.sh- commenting out the install lines for cutorch and cunn then run the installation script. |
same problem. have u guys solved it? |
@nk0307
On google groups someone posted that downgrading CUDA from 9.1 to 8.0 also fix this problem. |
Thanks for the fix, but I did get stuck at the same point again... here is what i did:
and building cutorch stopped again at
I use @matanhs Will try your fix to install Just copying my errors for people searching on Google (so that the exact output gets indexed) – maybe someone will post an alternative fix after my comment.
|
It's been a while and I don't remember exactly the process I went through, the release/master branch should allow you to install without an issue. |
@matanhs I have tried the latest branch numerous times in the last few hours and also the alternative method you have suggested, but for some reason the flag When i try to compile cutorch & cunn these two lines are contradicting each other: -- Found CUDA with FP16 support, compiling with torch.CudaHalfTensor
-- CUDA_NVCC_FLAGS: -D__CUDA_NO_HALF_OPERATORS__;-D__CUDA_NO_HALF_OPERATORS__;-gencode;arch=compute_61,code=sm_61;-DCUDA_HAS_FP16=1
and then
i don't get this. It should either compile with "half tensors" or without them. Don't know how deep i have to dig to disable the Looks like i have to revert back to CUDA 8, because 9.1 isn't working either from what i've read. I'm afraid the scripts that parse your GPU for CUDA specs can't deal with cards that have a different architecture. Some script probably detects one feature for my GTX 1080 Ti and then it tries to compile it on my GTX 780. Have also tried installing with |
Same Here with OSX 10.13 Cuda 9.1... Any news? |
check nvcc version might be old. Personally I just use the docker development image from nvidia with cuda 9 + cudnn 7, then install Torch from source works for me without an issue (also running 1080ti) |
My machine: MBP mid 2012 | OSX 10.13 latest | GT750M | My gcc:
My nvcc:
I have been hours and hours with this... I have tried all. |
Post from @pkuwwt worked for me, thanks. |
Doesn't work for me,any other suggestions? |
@matanhs This was the only method which worked for me, but to be specific, I needed to do: |
I have the following problem,who know how to solve it: |
The following are the error messages received after running './install.sh'
The text was updated successfully, but these errors were encountered: