Closed gikerus closed 4 years ago
Someone can Help ?
The highest supported CUDA version for GT 730 is v3.5. You're basically trying to use a steam engine to run a sports car. https://developer.nvidia.com/cuda-gpus
The highest supported CUDA version for GT 730 is v3.5. You're basically trying to use a steam engine to run a sports car. https://developer.nvidia.com/cuda-gpus
coś chyba źle zobaczyłeś bo najwyższe sterowniki jakie mam to 388.13 a one wspieraja CUDA 9.0
po przeinstalowaniu komputera i instlacji wszytskiego na nowo pojawiło się cos nowego, tylko czy jest to do obejścia ? ponizej podsyłam błąd
` * ABOUT XMRig/5.11.3 MSVC/2019
chodzi o te dwa błędy jest to do obejścia czy nie ?
podsyłam kod jonson
{ "api": { "id": null, "worker-id": null }, "http": { "enabled": false, "host": "127.0.0.1", "port": 0, "access-token": null, "restricted": true }, "autosave": true, "background": false, "colors": true, "randomx": { "init": -1, "mode": "auto", "1gb-pages": false, "rdmsr": true, "wrmsr": true, "numa": true }, "cpu": { "enabled": true, "huge-pages": true, "hw-aes": null, "priority": null, "memory-pool": false, "yield": true, "asm": true, "argon2-impl": null, "astrobwt-max-size": 550, "astrobwt-avx2": false, "argon2": [0, 1], "astrobwt": [0, 1], "cn": [ [1, 0], [1, 1] ], "cn-heavy": [ [1, -1] ], "cn-lite": [ [1, 0], [1, 1] ], "cn-pico": [ [2, 0], [2, 1] ], "rx": [0, 1], "rx/wow": [0, 1], "cn/0": false, "cn-lite/0": false, "rx/arq": "rx/wow", "rx/keva": "rx/wow" }, "opencl": { "enabled": false, "cache": true, "loader": null, "platform": "AMD", "adl": true }, "cuda": { "enabled": true, "loader": null, "nvml": true, "astrobwt": [ { "index": 0, "threads": 32, "blocks": 5, "bfactor": 1, "bsleep": 25, "affinity": -1 }, { "index": 1, "threads": 32, "blocks": 5, "bfactor": 1, "bsleep": 25, "affinity": -1 } ], "cn": [ { "index": 0, "threads": 128, "blocks": 6, "bfactor": 1, "bsleep": 25, "affinity": -1 }, { "index": 1, "threads": 64, "blocks": 4, "bfactor": 1, "bsleep": 25, "affinity": -1 } ], "cn-heavy": [ { "index": 0, "threads": 64, "blocks": 6, "bfactor": 1, "bsleep": 25, "affinity": -1 }, { "index": 1, "threads": 40, "blocks": 4, "bfactor": 1, "bsleep": 25, "affinity": -1 } ], "cn-lite": [ { "index": 0, "threads": 128, "blocks": 6, "bfactor": 1, "bsleep": 25, "affinity": -1 }, { "index": 1, "threads": 64, "blocks": 4, "bfactor": 1, "bsleep": 25, "affinity": -1 } ], "cn-pico": [ { "index": 0, "threads": 4, "blocks": 16, "bfactor": 1, "bsleep": 25, "affinity": -1 }, { "index": 1, "threads": 4, "blocks": 16, "bfactor": 1, "bsleep": 25, "affinity": -1 } ], "cn/2": [ { "index": 0, "threads": 4, "blocks": 16, "bfactor": 1, "bsleep": 25, "affinity": -1 }, { "index": 1, "threads": 4, "blocks": 16, "bfactor": 1, "bsleep": 25, "affinity": -1 } ], "rx": [ { "index": 0, "threads": 32, "blocks": 4, "bfactor": 1, "bsleep": 25, "affinity": -1, "dataset_host": true }, { "index": 1, "threads": 32, "blocks": 4, "bfactor": 1, "bsleep": 25, "affinity": -1, "dataset_host": true } ], "cn/0": false, "cn-lite/0": false }, "donate-level": 1, "donate-over-proxy": 1, "log-file": null, "pools": [ { "algo": null, "coin": null, "url": "pool.minexmr.com:443", "user": "pass": "rig-id": "51", "nicehash": false, "keepalive": true, "enabled": true, "tls": true, "tls-fingerprint": null, "daemon": false, "socks5": null, "self-select": null } ], "print-time": 60, "health-print-time": 60, "retries": 5, "retry-pause": 5, "syslog": false, "tls": { "enabled": false, "protocols": null, "cert": null, "cert_key": null, "ciphers": null, "ciphersuites": null, "dhparam": null }, "user-agent": null, "verbose": 0, "watch": true }
Not enough memory for RandomX on both system RAM (1.8GB free) and GPU memory (256M total each) Requires 2.25GB.
Second problem is arch 2x cards maximum CUDA Toolkit 8.0 so then the first card arch 3x is only that will work with CUDA 9.x. With plugin on CUDA8.0 it should still work with 9.1 driver level you already have. RandomX will not perform even if it did have enough memory.
I meant to follow up after originally posting, but I may have mistaken CUDA compute version with CUDA version (which are quite different)...so you can prob ignore my comment.
On Sun, Jun 14, 2020, 1:27 PM Tony Butler notifications@github.com wrote:
Not enough memory for RandomX on both system RAM (1.8GB free) and GPU memory (256M total each) Requires 2.25GB.
Second problem is arch 2x cards maximum CUDA Toolkit 8.0 so then the first card arch 3x is only that will work with CUDA 9.x. With plugin on CUDA8.0 it should still work with 9.1 driver level you already have. RandomX will not perform even if it did have enough memory.
— You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/xmrig/xmrig-cuda/issues/43#issuecomment-643796895, or unsubscribe https://github.com/notifications/unsubscribe-auth/AIJ4OMSPROPJKSTLYJQKJM3RWUCBTANCNFSM4MNWI7SQ .
Hey i have that issue. Bat file: C:\xmrig\xmrig.exe --donate-level 1 --cuda --cuda-loader=C:\xmrig\xmrig-cuda.dll -o pool.minexmr.com:443 -u Pool --rig-id 515151 -k --tls --threads=2
CMD:
I have on this file:![image](https://user-images.githubusercontent.com/63429995/79924945-7211e880-8439-11ea-86c1-b1a91ac79c1f.png)
Driver Nvidia: 390.77 Cuda installed: 9.0 Grafic cards: 2x nVIDIA GT 730
Do you need more information? If not, can someone help me solve this problem?