Comments (3)
Maybe a usable_cuda_gpus()
function in addition to/in place of has_cuda_gpu()
that simply returns the number of usable GPUs, which could be 0? Or -1 in case of error?
from cudaapi.jl.
What is the return code you're getting? I've only seen it fail with error 999, which is a bad situation worth warning about.
from cudaapi.jl.
It's 100. In the situation it crops up, we're running on a node that has a GPU and the CUDA libraries, but we haven't requested the GPU as a resource so it is not allocated to the job.
from cudaapi.jl.
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from cudaapi.jl.