RuntimeError: CUDA error: no kernel image is available for execution on the device #52
Description
Hi, I try this with aws server because my personal computer doesn't have enough memory.
I use this inside docker. I compiled successfully.
g++ version:
g++ (Ubuntu 7.4.0-1ubuntu1~18.04.1) 7.4.0
Cuda version:
release 10.1, V10.1.243
error:
Traceback (most recent call last): File "/opt/conda/lib/python3.6/runpy.py", line 193, in _run_module_as_main "__main__", mod_spec) File "/opt/conda/lib/python3.6/runpy.py", line 85, in _run_code exec(code, run_globals) File "/workspace/share/Projects/ThanhNV/MinkowskiEngine/examples/example.py", line 80, in <module> output = net(input) File "/opt/conda/lib/python3.6/site-packages/torch/nn/modules/module.py", line 539, in __call__ result = self.forward(*input, **kwargs) File "/workspace/share/Projects/ThanhNV/MinkowskiEngine/examples/example.py", line 56, in forward return self.net(x) File "/opt/conda/lib/python3.6/site-packages/torch/nn/modules/module.py", line 539, in __call__ result = self.forward(*input, **kwargs) File "/opt/conda/lib/python3.6/site-packages/torch/nn/modules/container.py", line 92, in forward input = module(input) File "/opt/conda/lib/python3.6/site-packages/torch/nn/modules/module.py", line 539, in __call__ result = self.forward(*input, **kwargs) File "/workspace/share/Projects/ThanhNV/MinkowskiEngine/MinkowskiEngine/MinkowskiNormalization.py", line 58, in forward output = self.bn(input.F) File "/opt/conda/lib/python3.6/site-packages/torch/nn/modules/module.py", line 539, in __call__ result = self.forward(*input, **kwargs) File "/opt/conda/lib/python3.6/site-packages/torch/nn/modules/batchnorm.py", line 72, in forward self.num_batches_tracked += 1 RuntimeError: CUDA error: no kernel image is available for execution on the device
pytorch version:
'1.2.0a0+e6a7071
When i install this library on docker, i also use this command: apt install libgl1-mesa-glx because default open3d cannot be imported.
Does anyone have any ideas about this problem?
Thank you.