win 10 wsl bladebit_cuda "cudaErrorMemoryAllocation : out of memory" although card has enough memory about bladebit HOT 10 OPEN

Yes.
I tried few guides, but i dont remember which one help - Nvidia for WSL, or Ubuntu for Nvidia.
https://developer.nvidia.com/cuda-downloads?target_os=Linux&target_arch=x86_64&Distribution=WSL-Ubuntu&target_version=2.0&target_type=deb_local

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Sun Dec 3 19:12:57 2023
+---------------------------------------------------------------------------------------+
| NVIDIA-SMI 545.29.04 Driver Version: 546.17 CUDA Version: 12.3 |
|-----------------------------------------+----------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+====================================|
| 0 NVIDIA GeForce RTX 2070 ... On | 00000000:01:00.0 On | N/A |
| N/A 50C P8 7W / 80W | 231MiB / 8192MiB | 27% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+

+---------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| No running processes found |
+---------------------------------------------------------------------------------------+

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Win 11, yes

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Had this problem too when started.
But it resolved by itself - just gone.

from bladebit.

did you use wsl-ubuntu as well ?

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so, it helps?

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sadly, no. I still got:

Selected cuda device 0 : NVIDIA GeForce GTX 1070
 CUDA Compute Capability   : 6.1
 SM count                  : 15
 Max blocks per SM         : 32
 Max threads per SM        : 2048
 Async Engine Count        : 5
 L2 cache size             : 2.00 MB
 L2 persist cache max size : 0.00 MB
 Stack Size                : 1.00 KB
 Memory:
  Total                    : 8.00 GB
  Free                     : 7.06 GB

Allocating buffers (this may take a few seconds)...
Kernel RAM required       : 4828776144   bytes ( 4605.08   MiB or 4.50   GiB )
Intermediate RAM required : 4378927104   bytes ( 4176.07   MiB or 4.08   GiB )
Host RAM required         : 2147483648   bytes ( 2048.00   MiB or 2.00   GiB )
Total Host RAM required   : 6976259792   bytes ( 6653.08   MiB or 6.50   GiB )
GPU RAM required          : 6163050496   bytes ( 5877.54   MiB or 5.74   GiB )
Allocating buffers...
CUDA error: 2 (0x2 ) cudaErrorMemoryAllocation : out of memory

*** Panic!!! *** Fatal Error:
CUDA error cudaErrorMemoryAllocation : out of memory.
./bladebit_cuda(_ZN7SysHost14DumpStackTraceEv+0x53)[0x562451e7fd93]
./bladebit_cuda(_Z9PanicExitv+0xf)[0x56245201127f]
./bladebit_cuda(+0x7dbaf)[0x562451e26baf]
./bladebit_cuda(+0x85f70)[0x562451e2ef70]
./bladebit_cuda(main+0xa61)[0x562451e24121]
/lib/x86_64-linux-gnu/libc.so.6(+0x29d90)[0x7fc44c480d90]
/lib/x86_64-linux-gnu/libc.so.6(__libc_start_main+0x80)[0x7fc44c480e40]
./bladebit_cuda(_start+0x25)[0x562451e259a5]

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what does you nvidia-smi.exe say inside wsl ? I think I could try to replicate that.

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You are on win11 ? It could just simply not work in win 10.
Edit: i tried downgrading the drivers. Did not work. Same Problem.

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I guess that could be it. Thank you.

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