Comments (3)
Sorry this is hard. I don't use Windows, so am not of much help. You might try the wheels here? https://www.lfd.uci.edu/~gohlke/pythonlibs/ Some advertise CUDA linkage. It might solve your problem.
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Has there been a resolution to this? Right now using linux through VM so I do not have access to GPU. Windows solution would be extremely welcome...
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I'm also having trouble getting GPU working on Windows. I'm not sure what issue you are having, but in my case, it's the fact that thinc.neural.gpu_ops
isn't getting created.
I should note that I'm trying to do this using CUDA v9, so some of the issue may be due to that. Also, I just started digging into this today, so I may be way off.
I think the issue is in the locate_cuda function in setup.py. I think there are two separate issue with the function.
First, the following snippet fails to see nvcc, even though it's there.
for k, v in cudaconfig.items():
if not os.path.exists(v):
print('Warning: The CUDA %s path could not be located in %s' % (k, v))
return None
I think this is because
os.path.exists('[CUDA_HOME]\bin\nvcc)
returns False
,
but
os.path.exists('[CUDA_HOME]\bin\nvcc.exe)
returns True
.
I'm guessing this is a platform dependent issue.
Also, the code is looking for a lib64
directory under the CUDA_HOME directory. In my case, this doesn't exist, though there is a lib
directory with an x64
directory under that. I assume that is the directory it should be pointing to. I'm not sure whether this is a platform specfic issue or an issue due to the fact that I'm using CUDA v9.
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Related Issues (20)
- Register `thinc.api.fix_random_seed` as a pytest-randomly entry point
- `floats_getitem` and `ints_getitem` missing from `thinc.api`
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- Type checkers don't like non-literal `__all__` in `thinc.api` for exposing the public interface HOT 2
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- llvm error out of memory HOT 1
- 'GLIBC_2.29' not found HOT 2
- Is there anyway to load a variable in a config file as a list? HOT 3
- Is there anyway to add multiline strings in a config file? HOT 1
- `reduce_mean` with zero-length sequence fails on NumPy backend HOT 2
- Tensorflow dependency slows spacy down HOT 2
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