Nvidia-docker: ์˜ค๋ฅ˜: ์ง€์›๋˜์ง€ ์•Š๋Š” CUDA ๋ฒ„์ „: ๋“œ๋ผ์ด๋ฒ„ 8.0 < ์ด๋ฏธ์ง€ 9.0.176

์— ๋งŒ๋“  2017๋…„ 10์›” 13์ผ  ยท  3์ฝ”๋ฉ˜ํŠธ  ยท  ์ถœ์ฒ˜: NVIDIA/nvidia-docker

๋ช…๋ น -
nvidia-docker run --rm nvidia/cuda nvidia-smi
์ด ์˜ค๋ฅ˜ ๋ฉ”์‹œ์ง€ ์ƒ์„ฑ -
nvidia-docker | 2017/10/13 08:33:01 Error: unsupported CUDA version: driver 8.0 < image 9.0.176

nvidia-smi ์ถœ๋ ฅ์€ ๋‹ค์Œ๊ณผ ๊ฐ™์Šต๋‹ˆ๋‹ค.

| NVIDIA-SMI 375.66                 Driver Version: 375.66                    |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  GeForce 930MX       Off  | 0000:01:00.0     Off |                  N/A |
| N/A   40C    P8    N/A /  N/A |    243MiB /  2002MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID  Type  Process name                               Usage      |
|=============================================================================|
|    0     10596    G   /usr/lib/xorg/Xorg                             112MiB |
|    0     11359    G   compiz                                          77MiB |
|    0     11989    G   ...el-token=4E07A486F6B731B5D1D3A5EF33B64C3E    54MiB |
+-----------------------------------------------------------------------------+

#177์— ๋”ฐ๋ฅด๋ฉด ๋“œ๋ผ์ด๋ฒ„๋ฅผ ์—…๋ฐ์ดํŠธํ•ด์•ผ ํ•ฉ๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๋“œ๋ผ์ด๋ฒ„๋Š” ์ด๋ฏธ ์—…๋ฐ์ดํŠธ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.
๋ฌธ์ œ๋ฅผ ์–ด๋–ป๊ฒŒ ํ•ด๊ฒฐํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๊นŒ?

๊ฐ€์žฅ ์œ ์šฉํ•œ ๋Œ“๊ธ€

@cliffwoolley ๊ฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค
๋˜๋Š” CUDA 8.0 ์ด๋ฏธ์ง€๋ฅผ ์‚ฌ์šฉํ•˜๊ณ  ๋“œ๋ผ์ด๋ฒ„๋ฅผ ์—…๊ทธ๋ ˆ์ด๋“œํ•˜์ง€ ์•Š์„ ์ˆ˜๋„ ์žˆ์Šต๋‹ˆ๋‹ค.

nvidia-docker run --rm nvidia/cuda:8.0-devel nvidia-smi

๋ชจ๋“  3 ๋Œ“๊ธ€

CUDA 9์—๋Š” ์ตœ์†Œํ•œ 384.xx ์‹œ๋ฆฌ์ฆˆ ๋“œ๋ผ์ด๋ฒ„๊ฐ€ ํ•„์š”ํ•ฉ๋‹ˆ๋‹ค. NVIDIA ๊ถŒ์žฅ
384.81 ์ด์ƒ.

deb ํŒจํ‚ค์ง€์—์„œ ์„ค์น˜ํ•˜๋Š” ๊ฒฝ์šฐ ํŒจํ‚ค์ง€ ์ด๋ฆ„์€
nvidia-384์™€ nvidia-375์˜ ์ฃผ์š” ๋“œ๋ผ์ด๋ฒ„๊ฐ€ ๋‹ค๋ฆ…๋‹ˆ๋‹ค
๋ฒ„์ „ ์—…๊ทธ๋ ˆ์ด๋“œ๋Š” ์ž๋™์ด ์•„๋‹ˆ๋ผ ์˜๋„์ ์ž…๋‹ˆ๋‹ค.

์ตœ์ƒ์˜,
๋‚ญ๋– ๋Ÿฌ์ง€

2017๋…„ 10์›” 12์ผ ์˜คํ›„ 7์‹œ 50๋ถ„ "Md. Meftaul Haque" ์•Œ๋ฆผ @github.com
์ผ๋‹ค:

๋ช…๋ น -
nvidia-docker ์‹คํ–‰ --rm nvidia/cuda nvidia-smi
์ด ์˜ค๋ฅ˜ ๋ฉ”์‹œ์ง€ ์ƒ์„ฑ -
์—”๋น„๋””์•„ ๋„์ปค | 2017/10/13 08:33:01 ์˜ค๋ฅ˜: ์ง€์›๋˜์ง€ ์•Š๋Š” CUDA ๋ฒ„์ „:
๋“œ๋ผ์ด๋ฒ„ 8.0 < ์ด๋ฏธ์ง€ 9.0.176

nvidia-smi ์ถœ๋ ฅ์€ ๋‹ค์Œ๊ณผ ๊ฐ™์Šต๋‹ˆ๋‹ค.

+---------------------------------------------------------------- --------------------------+
| NVIDIA-SMI 375.66 ๋“œ๋ผ์ด๋ฒ„ ๋ฒ„์ „: 375.66 |
|--------------------------------------------+----------------- -----+----------------------+
| GPU ์ด๋ฆ„ ์ง€์†์„ฑ-M| ๋ฒ„์Šค ID Disp.A | ํœ˜๋ฐœ์„ฑ ๋ถ€์ •ํ™•. ECC |
| ํŒฌ ์˜จ๋„ ์„ฑ๋Šฅ Pwr: ์‚ฌ์šฉ๋Ÿ‰/์บก | ๋ฉ”๋ชจ๋ฆฌ ์‚ฌ์šฉ๋Ÿ‰ | GPU ํ™œ์šฉ ์ปดํ“จํŒ… M. |
|===================================================== =====+=======================|
| 0 ์ง€ํฌ์Šค 930MX ๋„๊ธฐ | 0000:01:00.0 ๋„๊ธฐ | ํ•ด๋‹น ์—†์Œ |
| N/A 40C P8 N/A / N/A | 243MiB / 2002MiB | 0% ๊ธฐ๋ณธ๊ฐ’ |
+-------------------------------+-------------------- -----+----------------------+

+---------------------------------------------------------------- --------------------------+
| ํ”„๋กœ์„ธ์Šค: GPU ๋ฉ”๋ชจ๋ฆฌ |
| GPU PID ์œ ํ˜• ํ”„๋กœ์„ธ์Šค ์ด๋ฆ„ ์‚ฌ์šฉ๋ฒ• |
|==================================================== ==============================|
| 0 10596 G /usr/lib/xorg/Xorg 112MiB |
| 0 11359 G ์ปดํ”ผ์ฆˆ 77MiB |
| 0 11989 G ...el-token=4E07A486F6B731B5D1D3A5EF33B64C3E 54MiB |
+---------------------------------------------------------------- --------------------------+

#177 https://github.com/NVIDIA/nvidia-docker/issues/177 ์— ๋”ฐ๋ฅด๋ฉด
๋“œ๋ผ์ด๋ฒ„๋ฅผ ์—…๋ฐ์ดํŠธํ•ด์•ผ ํ•ฉ๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๋“œ๋ผ์ด๋ฒ„๋Š” ์ด๋ฏธ ์—…๋ฐ์ดํŠธ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.
๋ฌธ์ œ๋ฅผ ์–ด๋–ป๊ฒŒ ํ•ด๊ฒฐํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๊นŒ?

โ€”
์ด ์Šค๋ ˆ๋“œ์— ๊ฐ€์ž…ํ–ˆ๊ธฐ ๋•Œ๋ฌธ์— ์ด ๋ฉ”์‹œ์ง€๋ฅผ ๋ฐ›๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.
์ด ์ด๋ฉ”์ผ์— ์ง์ ‘ ๋‹ต์žฅํ•˜๊ณ  GitHub์—์„œ ํ™•์ธํ•˜์„ธ์š”.
https://github.com/NVIDIA/nvidia-docker/issues/497 ๋˜๋Š” ์Šค๋ ˆ๋“œ ์Œ์†Œ๊ฑฐ
https://github.com/notifications/unsubscribe-auth/AJO93j0fl5OKFODvJWqs2c_ter9bQ_OFks5srtAIgaJpZM4P354h
.

@cliffwoolley ๊ฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค
๋˜๋Š” CUDA 8.0 ์ด๋ฏธ์ง€๋ฅผ ์‚ฌ์šฉํ•˜๊ณ  ๋“œ๋ผ์ด๋ฒ„๋ฅผ ์—…๊ทธ๋ ˆ์ด๋“œํ•˜์ง€ ์•Š์„ ์ˆ˜๋„ ์žˆ์Šต๋‹ˆ๋‹ค.

nvidia-docker run --rm nvidia/cuda:8.0-devel nvidia-smi

@flx42 FROM tensorflow/tensorflow:latest-gpu ์„(๋ฅผ) ์‚ฌ์šฉํ•  ๋•Œ ์ด ์˜ค๋ฅ˜๊ฐ€ ๋ฐœ์ƒํ•ฉ๋‹ˆ๋‹ค. ์ด๋ฅผ ๋ฐฉ์ง€ํ•˜๋ ค๋ฉด ์–ด๋–ค ๋ฒ„์ „์˜ TF๋ฅผ ์‚ฌ์šฉํ•ด์•ผ ํ•ฉ๋‹ˆ๊นŒ?

์ด ํŽ˜์ด์ง€๊ฐ€ ๋„์›€์ด ๋˜์—ˆ๋‚˜์š”?
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