And surprise, COMPUTE ERROR

[metal3d]

Hello 😄

I build a complete docker / podman OCI image and everything is compiled correctly. I use ubuntu 22.04 image and installed GCC v9 to avoid compilation problems.

Whatever I do, I've got GPU #0 COMPUTE ERROR.

I really don't know how to fix this, there were no problem on compilation and the cuda version is OK (11.5).

 * LIBS         libuv/1.44.2 OpenSSL/1.1.1s hwloc/2.9.0
 * HUGE PAGES   supported
 * 1GB PAGES    disabled
 * CPU          AMD Ryzen 5 5600H with Radeon Graphics (1) 64-bit AES
                L2:3.0 MB L3:16.0 MB 6C/12T NUMA:1
 * MEMORY       5.1/13.5 GB (37%)
 * DONATE       5%
 * ASSEMBLY     auto:ryzen
 * POOL #1      xmr.metal3d.org:8080 algo auto
 * COMMANDS     hashrate, pause, resume, results, connection
 * HTTP API     0.0.0.0:3000 
 * OPENCL       disabled
 * CUDA         11.5/12.2/6.17.0
 * NVML         disabled
 * CUDA GPU     #0 01:00.0 NVIDIA GeForce RTX 3060 Laptop GPU 1282/6001 MHz smx:30 arch:86 mem:5814/5940 MB
[2023-11-08 09:16:22.668]  net      use pool xmr.metal3d.org:8080  163.172.191.181
[2023-11-08 09:16:22.668]  net      new job from xmr.metal3d.org:8080 diff 6056 algo rx/0 height 116024
[2023-11-08 09:16:22.668]  cpu      use argon2 implementation AVX2
[2023-11-08 09:16:22.683]  msr      msr kernel module is not available
[2023-11-08 09:16:22.683]  msr      FAILED TO APPLY MSR MOD, HASHRATE WILL BE LOW
[2023-11-08 09:16:22.683]  randomx  init dataset algo rx/0 (12 threads) seed a11663b1d030c604...
[2023-11-08 09:16:22.683]  randomx  allocated 2336 MB (2080+256) huge pages 0% 0/1168 +JIT (0 ms)
[2023-11-08 09:16:25.753]  randomx  dataset ready (3070 ms)
[2023-11-08 09:16:25.753]  nvidia   use profile  rx  (1 thread) scratchpad 2048 KB
|  # | GPU |  BUS ID | INTENSITY | THREADS | BLOCKS | BF |  BS | MEMORY | NAME
|  0 |   0 | 01:00.0 |      1792 |      32 |     56 |  0 |   0 |   3584 | NVIDIA GeForce RTX 3060 Laptop GPU
[2023-11-08 09:16:25.963]  nvidia   READY threads 1/1 (210 ms)
[2023-11-08 09:16:42.352]  nvidia   GPU #0 COMPUTE ERROR
[2023-11-08 09:17:01.036]  nvidia   GPU #0 COMPUTE ERROR

[saymyname77]

"rx": [
{
"index": 0,
"threads": 32,
"blocks": 256,
"bfactor": 0,
"bsleep": 0,
"affinity": -1,
"dataset_host": false
},
]
That's the problem, but I don't know how to configure the appropriate size