Comments (5)
I find the issue in instant ngp #52),
I am trying with the solution
from torch-ngp.
Currently --ff
only supports GPU with arch >= 70, so P100 (arch == 60) is unable to compile hashencoder
and ffmlp
.
However, you can still use --tcnn
backend in P100, although the speed will be slower compared to V100.
from torch-ngp.
I'm not sure if it is related to windows, but this error message does come from low GPU arch.
from torch-ngp.
You can check the CUDA programming guide here:
The 16-bit __half floating-point version of atomicAdd() is only supported by devices of compute capability 7.x and higher.
from torch-ngp.
I'm not sure if it is related to windows, but this error message does come from low GPU arch.
thank you for your explanation, I misunderstand the error message. this should have nothing to do with windows
from torch-ngp.
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