Error no kernel image is available for execution on the device

[consensual-hallucination]

Hi, when I try to train, it throws an error:

C:\Users\PC\anaconda3\envs\DLAS\lib\site-packages\torch\optim\lr_scheduler.py:138: 
UserWarning: Detected call of `lr_scheduler.step()` before `optimizer.step()`. 
In PyTorch 1.1.0 and later, you should call them in the opposite order: 
`optimizer.step()` before `lr_scheduler.step()`.  
Failure to do this will result in PyTorch skipping the first value of the learning rate schedule. 
See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate
  warnings.warn("Detected call of `lr_scheduler.step()` before `optimizer.step()`. "
Error no kernel image is available for execution on the device at line 167 in file 
D:\ai\tool\bitsandbytes\csrc\ops.cu
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I thought this may be wrong CUDA version installed but I checked and my 1070 seem to be compatible with with CUDA 8+.

Anyone encountered this error and found a way to fix it?
Thanks.

[mementos94]

I have the same issue with 1070ti

[consensual-hallucination]

I have the same issue with 1070ti

The issue seem to be bitsandbytes / cuda version related.
I didn't have much time to investigate it yet so for now I'm using DLAS without it and it works ok. It would be nice to have it working tho. I'll look into this once I have some spare time.