I'm having some problems to install the package in a Linux machine: The conda environment does have CUDA installed and I'm working with torch==1.8.1, although even the numpy tests do fail, so i suspect it must be something else...
RuntimeError Traceback (most recent call last)
<ipython-input-1-eb2849f7dd26> in <module>
1 import pykeops
2 pykeops.clean_pykeops() # just in case old build files are still present
----> 3 pykeops.test_numpy_bindings() # perform the compilation
~/miniconda3/envs/assistant/lib/python3.7/site-packages/pykeops/test/install.py in test_numpy_bindings()
34 pykeops.config.build_type = "Debug"
35 my_conv = pknp.Genred(formula, var)
---> 36 print(my_conv(x, y))
37
38
~/miniconda3/envs/assistant/lib/python3.7/site-packages/pykeops/numpy/generic/generic_red.py in __call__(self, backend, device_id, ranges, *args)
312
313 out = self.myconv.genred_numpy(
--> 314 tagCpuGpu, tag1D2D, 0, device_id, ranges, nx, ny, *args
315 )
316
RuntimeError: [KeOps] This KeOps shared object has been compiled without cuda support:
1) to perform computations on CPU, simply set tagHostDevice to 0
2) to perform computations on GPU, please recompile the formula with a working version of cuda.
RuntimeError Traceback (most recent call last)
<ipython-input-2-9c28a002d77a> in <module>
1 import pykeops
2 pykeops.clean_pykeops() # just in case old build files are still present
----> 3 pykeops.test_torch_bindings() # perform the compilation
~/miniconda3/envs/assistant/lib/python3.7/site-packages/pykeops/test/install.py in test_torch_bindings()
72 pykeops.config.build_type = "Debug"
73 my_conv = pktorch.Genred(formula, var)
---> 74 print(my_conv(x, y))
~/miniconda3/envs/assistant/lib/python3.7/site-packages/pykeops/torch/generic/generic_red.py in __call__(self, backend, device_id, ranges, *args)
577 nx,
578 ny,
--> 579 *args
580 )
581
~/miniconda3/envs/assistant/lib/python3.7/site-packages/pykeops/torch/generic/generic_red.py in forward(ctx, formula, aliases, backend, dtype, device_id, ranges, optional_flags, rec_multVar_highdim, nx, ny, *args)
78
79 result = myconv.genred_pytorch(
---> 80 tagCPUGPU, tag1D2D, tagHostDevice, device_id, ranges, nx, ny, *args
81 )
82
RuntimeError: [KeOps] This KeOps shared object has been compiled without cuda support:
1) to perform computations on CPU, simply set tagHostDevice to 0
2) to perform computations on GPU, please recompile the formula with a working version of cuda.
Is there anything i should try? Thanks in advance!
Hi there! Amazing library!
I'm having some problems to install the package in a Linux machine: The conda environment does have CUDA installed and I'm working with
torch==1.8.1
, although even the numpy tests do fail, so i suspect it must be something else...Is there anything i should try? Thanks in advance!