Tensorflow: Win10: ImportError: DLL ๋กœ๋“œ ์‹คํŒจ: ์ง€์ •๋œ ๋ชจ๋“ˆ์„ ์ฐพ์„ ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค.

์— ๋งŒ๋“  2018๋…„ 10์›” 06์ผ  ยท  184์ฝ”๋ฉ˜ํŠธ  ยท  ์ถœ์ฒ˜: tensorflow/tensorflow

์‹œ์Šคํ…œ ์ •๋ณด:

๋‚ด๊ฐ€ ์‚ฌ์šฉ์ž ์ง€์ • ์ฝ”๋“œ๋ฅผ ์ž‘์„ฑํ–ˆ์Šต๋‹ˆ๊นŒ: ์•„๋‹ˆ์š”
OS ํ”Œ๋žซํผ ๋ฐ ๋ฐฐํฌ: Windows 10 Pro ์—…๋ฐ์ดํŠธ
๋ชจ๋ฐ”์ผ ์žฅ์น˜: ์—†์Œ
TensorFlow ์„ค์น˜: pip install
ํ…์„œํ”Œ๋กœ์šฐ ๋ฒ„์ „: 1.11.0
ํŒŒ์ด์ฌ ๋ฒ„์ „: 3.6.6
Bazel ๋ฒ„์ „: ์„ค์น˜๋˜์ง€ ์•Š์Œ
CUDA/cuDNN ๋ฒ„์ „: CUDA 9.0, cuDNN 8.0
GPU ๋ชจ๋ธ ๋ฐ ๋ฉ”๋ชจ๋ฆฌ: GF-GTX970 STRIX
์žฌํ˜„ํ•  ์ •ํ™•ํ•œ ๋ช…๋ น:
pip ์„ค์น˜ ํ…์„œํ”Œ๋กœ
pip ์„ค์น˜ tensorflow-gpu
ํŒŒ์ด์ฌ
ํ…์„œํ”Œ๋กœ๋ฅผ tf๋กœ ๊ฐ€์ ธ์˜ค๊ธฐ

๋ฌธ์ œ

์ด์ „ ๋ฒ„์ „์˜ CUDA ๋„๊ตฌ, cuDNN, python, tensorflow ๋ฐ tensorflow-gpu๋กœ ๋‹ค์šด๊ทธ๋ ˆ์ด๋“œ๋ฅผ ์‹œ๋„ํ•œ ํ›„์—๋„ ์ด ์˜ค๋ฅ˜๊ฐ€ ์ง€์†์ ์œผ๋กœ ๋ฐœ์ƒํ–ˆ์Šต๋‹ˆ๋‹ค. ๋‚ด ํ™˜๊ฒฝ ๋ณ€์ˆ˜๋ฅผ ์—…๋ฐ์ดํŠธํ–ˆ์Šต๋‹ˆ๋‹ค. Visual C++ ์žฌ๋ฐฐํฌ ๊ฐ€๋Šฅ ์—…๋ฐ์ดํŠธ๋ฅผ ์„ค์น˜ํ–ˆ์Šต๋‹ˆ๋‹ค.
๋‹ค๋ฅธ ์œ ์‚ฌํ•œ ๋ฌธ์ œ(์˜ˆ: #10033 ๋ฐ #17101)์˜ ์†”๋ฃจ์…˜์„ ์ฝ๊ณ  ๋”ฐ๋ฅด๋ ค๊ณ  ํ–ˆ์ง€๋งŒ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๋Š” ๋ฐ ์„ฑ๊ณตํ•˜์ง€ ๋ชปํ–ˆ์Šต๋‹ˆ๋‹ค.

ํ†ต๋‚˜๋ฌด

C:\์‚ฌ์šฉ์ž\์‚ฌ์šฉ์ž>ํŒŒ์ด์ฌ
Python 3.6.6(v3.6.6:4cf1f54eb7, 2018๋…„ 6์›” 27์ผ, 03:37:03) [MSC v.1900 64๋น„ํŠธ(AMD64)] on win32
์ž์„ธํ•œ ๋‚ด์šฉ์„ ๋ณด๋ ค๋ฉด "๋„์›€๋ง", "์ €์ž‘๊ถŒ", "ํฌ๋ ˆ๋”ง" ๋˜๋Š” "๋ผ์ด์„ผ์Šค"๋ฅผ ์ž…๋ ฅํ•˜์‹ญ์‹œ์˜ค.
<> ํ…์„œํ”Œ๋กœ๋ฅผ tf๋กœ ๊ฐ€์ ธ์˜ค๊ธฐ
์—ญ์ถ”์ (๊ฐ€์žฅ ์ตœ๊ทผ ํ˜ธ์ถœ ๋งˆ์ง€๋ง‰):
ํŒŒ์ผ "C:\Users\user\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", ๋ผ์ธ 58,
tensorflow.python.pywrap_tensorflow_internal ๊ฐ€์ ธ์˜ค๊ธฐ์—์„œ *
ํŒŒ์ผ "C:\Users\user\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", 28ํ–‰,
_pywrap_tensorflow_internal = swig_import_helper()
ํŒŒ์ผ "C:\Users\user\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", 24ํ–‰, swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, ๊ฒฝ๋กœ ์ด๋ฆ„, ์„ค๋ช…)
load_module์˜ ํŒŒ์ผ "C:\Users\user\AppData\Local\Programs\Python\Python36\lib\imp.py", 243ํ–‰
return load_dynamic(์ด๋ฆ„, ํŒŒ์ผ ์ด๋ฆ„, ํŒŒ์ผ)
load_dynamic์˜ ํŒŒ์ผ "C:\Users\user\AppData\Local\Programs\Python\Python36\lib\imp.py", ์ค„ 343
๋ฐ˜ํ™˜ _load(์‚ฌ์–‘)
ImportError: DLL ๋กœ๋“œ ์‹คํŒจ: ์ง€์ •๋œ ๋ชจ๋“ˆ์„ ์ฐพ์„ ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค.

์œ„์˜ ์˜ˆ์™ธ๋ฅผ ์ฒ˜๋ฆฌํ•˜๋Š” ๋™์•ˆ ๋‹ค๋ฅธ ์˜ˆ์™ธ๊ฐ€ ๋ฐœ์ƒํ–ˆ์Šต๋‹ˆ๋‹ค.

์—ญ์ถ”์ (๊ฐ€์žฅ ์ตœ๊ทผ ํ˜ธ์ถœ ๋งˆ์ง€๋ง‰):
ํŒŒ์ผ "", 1ํ–‰, ์—์„œ
ํŒŒ์ผ "C:\Users\user\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow__init__.py", 22ํ–‰
from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import
ํŒŒ์ผ "C:\Users\user\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python__init__.py", ๋ผ์ธ 49,
tensorflow.python์—์„œ ๊ฐ€์ ธ์˜ค๊ธฐ pywrap_tensorflow
ํŒŒ์ผ "C:\Users\user\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", ๋ผ์ธ 74,
ImportError(msg) ๋ฐœ์ƒ
ImportError: ์—ญ์ถ”์ (๊ฐ€์žฅ ์ตœ๊ทผ ํ˜ธ์ถœ ๋งˆ์ง€๋ง‰):
ํŒŒ์ผ "C:\Users\user\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", ๋ผ์ธ 58,
tensorflow.python.pywrap_tensorflow_internal ๊ฐ€์ ธ์˜ค๊ธฐ์—์„œ *
ํŒŒ์ผ "C:\Users\user\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", 28ํ–‰,
_pywrap_tensorflow_internal = swig_import_helper()
ํŒŒ์ผ "C:\Users\user\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", 24ํ–‰, swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, ๊ฒฝ๋กœ ์ด๋ฆ„, ์„ค๋ช…)
load_module์˜ ํŒŒ์ผ "C:\Users\user\AppData\Local\Programs\Python\Python36\lib\imp.py", 243ํ–‰
return load_dynamic(์ด๋ฆ„, ํŒŒ์ผ ์ด๋ฆ„, ํŒŒ์ผ)
load_dynamic์˜ ํŒŒ์ผ "C:\Users\user\AppData\Local\Programs\Python\Python36\lib\imp.py", ๋ผ์ธ 343
๋ฐ˜ํ™˜ _load(์‚ฌ์–‘)
ImportError: DLL ๋กœ๋“œ ์‹คํŒจ: ์ง€์ •๋œ ๋ชจ๋“ˆ์„ ์ฐพ์„ ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค.

windows builinstall

๊ฐ€์žฅ ์œ ์šฉํ•œ ๋Œ“๊ธ€

๋ฐฉ๊ธˆ TensorFlow๋ฅผ 1.10.0์œผ๋กœ ๋‹ค์šด๊ทธ๋ ˆ์ด๋“œํ–ˆ๋Š”๋ฐ ์ž‘๋™ํ–ˆ์Šต๋‹ˆ๋‹ค.

pip install tensorflow-gpu==1.10.0

๋ชจ๋“  184 ๋Œ“๊ธ€

๊ท€ํ•˜์˜ ๊ฒŒ์‹œ๋ฌผ์— ๊ฐ์‚ฌ๋“œ๋ฆฝ๋‹ˆ๋‹ค. ๋ฌธ์ œ ํ…œํ”Œ๋ฆฟ์—์„œ ๋‹ค์Œ ํ•„๋“œ๋ฅผ ์ž‘์„ฑํ•˜์ง€ ์•Š์€ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ์Šต๋‹ˆ๋‹ค. ๊ท€ํ•˜์˜ ์‚ฌ๋ก€์™€ ๊ด€๋ จ์ด ์žˆ๋Š” ๊ฒฝ์šฐ ์—…๋ฐ์ดํŠธํ•˜๊ฑฐ๋‚˜ N/A๋กœ ๋‚จ๊ฒจ๋‘˜ ์ˆ˜ ์žˆ์Šต๋‹ˆ๊นŒ? ๊ฐ์‚ฌ ํ•ด์š”.
ํœด๋Œ€ ๊ธฐ๊ธฐ

๊ท€ํ•˜์˜ ๊ฒŒ์‹œ๋ฌผ์— ๊ฐ์‚ฌ๋“œ๋ฆฝ๋‹ˆ๋‹ค. ๋ฌธ์ œ ํ…œํ”Œ๋ฆฟ์—์„œ ๋‹ค์Œ ํ•„๋“œ๋ฅผ ์ž‘์„ฑํ•˜์ง€ ์•Š์€ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ์Šต๋‹ˆ๋‹ค. ๊ท€ํ•˜์˜ ์‚ฌ๋ก€์™€ ๊ด€๋ จ์ด ์žˆ๋Š” ๊ฒฝ์šฐ ์—…๋ฐ์ดํŠธํ•˜๊ฑฐ๋‚˜ N/A๋กœ ๋‚จ๊ฒจ๋‘˜ ์ˆ˜ ์žˆ์Šต๋‹ˆ๊นŒ? ๊ฐ์‚ฌ ํ•ด์š”.
ํœด๋Œ€ ๊ธฐ๊ธฐ

์ข‹์•„๋๋‹ค.

Windows 10์—์„œ tensorflow-gpu๋ฅผ ์‚ฌ์šฉํ•˜๋Š” ๋™์•ˆ ๋™์ผํ•œ ๋ฌธ์ œ๊ฐ€ ๋ฐœ์ƒํ–ˆ์Šต๋‹ˆ๋‹ค.
cuDNN10..์—์„œ ์ž‘๋™ํ•˜๋„๋ก ํ•  ์ˆ˜ ์—†์—ˆ๊ธฐ ๋•Œ๋ฌธ์— ๋Œ€์‹  9๋ฅผ ์„ ํƒํ–ˆ์Šต๋‹ˆ๋‹ค.

conda create --name tf-gpu
conda install -c aaronzs tensorflow-gpu
conda install -c ์•„๋‚˜์ฝ˜๋‹ค cudatoolkit
conda install -c ์•„๋‚˜์ฝ˜๋‹ค cudnn
์ฝ˜๋‹ค ์„ค์น˜ keras-gpu

https://www.pugetsystems.com/labs/hpc/The-Best-Way-to-Install-TensorFlow-with-GPU-Support-on-Windows-10-Without-Installing-CUDA ์—์„œ ์ „์ฒด ๊ฒŒ์‹œ๋ฌผ์„ ํ™•์ธํ•  ์ˆ˜๋„ ์žˆ์Šต๋‹ˆ๋‹ค.

Donald Kinghorn ๋ฐ•์‚ฌ์˜ ํฌ๋ ˆ๋”ง

@damcclane ๋‹˜ ๊ณผ ๊ฐ™์€ ๋ฌธ์ œ๊ฐ€ ์žˆ์Šต๋‹ˆ๋‹ค. ์–ด๋–ป๊ฒŒ ํ•ด๊ฒฐํ•˜์…จ๋‚˜์š”?

Win10 x64, python 3.6, cuda9(cudnn 7.0.5 ํฌํ•จ) ๋ฐ Win10 x64, python 3.7, cuda10(cudnn 7.3.1 ํฌํ•จ)

๋‘˜ ๋‹ค ๊ฐ™์€ ๋ฌธ์ œ๊ฐ€ ์žˆ์Šต๋‹ˆ๋‹ค. ๋‚ด ๊ทธ๋ž˜ํ”ฝ ์นด๋“œ๋Š” Nvidia GeForce 1050 Ti์ž…๋‹ˆ๋‹ค.

๊ฐ™์€ ๋ฌธ์ œ์ž…๋‹ˆ๋‹ค. Win10 x64, python 3.5, tensorflow-gpu 1.11.0, CUDNN 6์ด ์„ค์น˜๋œ CUDA 8.

๋™์ผํ•œ ๋ฌธ์ œ, Win10 x64, python 3.6, cudnn 7.0์ด ํฌํ•จ๋œ cuda 9

๊ฐ™์€ ๋ฌธ์ œ์ธ๋ฐ ํ•ด๊ฒฐ ๋ฐฉ๋ฒ• ์•„์‹œ๋Š” ๋ถ„ ๊ณ„์‹ ๊ฐ€์š”?

์—ฌ๊ธฐ์„œ๋„ ๊ฐ™์€ ๋ฌธ์ œ๊ฐ€ ๋ฐœ์ƒํ•ฉ๋‹ˆ๋‹ค... :(

๋‚˜๋Š” ๊ณผ๊ฑฐ์—์ด ๋ฌธ์ œ๊ฐ€ ์žˆ์—ˆ๊ณ  CUDNN์˜ ์ž˜๋ชป๋œ ๋ฒ„์ „์„ ๊ฐ€์ง€๊ณ  ์žˆ๊ธฐ ๋•Œ๋ฌธ์ž…๋‹ˆ๋‹ค. ๊ทธ ์ค‘ ๋ช‡ ๊ฐ€์ง€๋ฅผ ๋‹ค์šด๋กœ๋“œํ•˜์—ฌ ์ž‘๋™ํ•˜๋Š”์ง€ ํ™•์ธํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

์‹œ์Šคํ…œ ๊ตฌ์„ฑ์ด ์‚ฌ๋žŒ๋งˆ๋‹ค ๋‹ค๋ฅผ ์ˆ˜ ์žˆ์œผ๋ฏ€๋กœ ์ด ๋ฌธ์ œ์— ์ง๋ฉดํ•œ ๋ชจ๋“  ์‚ฌ๋žŒ๋“ค์ด TensorFlow repo ์—์„œ ์ƒˆ๋กœ์šด ๋ฌธ์ œ๋ฅผ ์ƒ์„ฑํ•˜์—ฌ ๊ฐœ๋ณ„์ ์œผ๋กœ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๋Š” ๋ฐ ์ง‘์ค‘ํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•˜๊ณ  ์‹ถ์Šต๋‹ˆ๋‹ค. ๊ฐ์‚ฌ ํ•ด์š”!

์ˆ˜์ •ํ–ˆ์Šต๋‹ˆ๋‹ค, ํ…ํฌ์Šค!

2018๋…„ 10์›” 17์ผ ์ˆ˜์š”์ผ ์˜ค์ „ 10:39 Corentin Jemine [email protected]
์ผ๋‹ค:

๋‚˜๋Š” ๊ณผ๊ฑฐ์—์ด ๋ฌธ์ œ๊ฐ€ ์žˆ์—ˆ๊ณ  ๊ทธ๊ฒƒ์€ ์ž˜๋ชป๋œ ๋ฒ„์ „์„ ๊ฐ€์ง€๊ณ  ์žˆ์—ˆ๊ธฐ ๋•Œ๋ฌธ์ž…๋‹ˆ๋‹ค.
CUDNN์˜. ๋‹น์‹ ์€ ๊ทธ๋“ค ์ค‘ ๋ช‡ ๊ฐ€์ง€๋ฅผ ๋‹ค์šด๋กœ๋“œ ์‹œ๋„ํ•˜๊ณ  ๊ทธ ์ค‘ ํ•˜๋‚˜๊ฐ€ ์žˆ๋Š”์ง€ ํ™•์ธํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค
์ผํ•˜๋‹ค.

โ€”
๋‹น์‹ ์ด ๋Œ“๊ธ€์„ ๋‹ฌ์•˜๊ธฐ ๋•Œ๋ฌธ์— ์ด๊ฒƒ์„ ๋ฐ›๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค.
์ด ์ด๋ฉ”์ผ์— ์ง์ ‘ ๋‹ต์žฅํ•˜๊ณ  GitHub์—์„œ ํ™•์ธํ•˜์„ธ์š”.
https://github.com/tensorflow/tensorflow/issues/22794#issuecomment-430676267 ,
๋˜๋Š” ์Šค๋ ˆ๋“œ ์Œ์†Œ๊ฑฐ
https://github.com/notifications/unsubscribe-auth/AYfA4TRxTaZ7pKfyszlWqPGknt_ohvlaks5ul082gaJpZM4XLOd-
.

CUDA9์™€ cuDNN 7.0.5๋ฅผ ๋‹ค์‹œ ์„ค์น˜ํ•˜๊ณ  ์ปดํ“จํ„ฐ๋ฅผ ๋‹ค์‹œ ์‹œ์ž‘ํ–ˆ์Šต๋‹ˆ๋‹ค. ๊ด€๋ จ ๋ฌธ์ œ๊ฐ€ ๋ฐฉ๊ธˆ ์‚ฌ๋ผ์กŒ์Šต๋‹ˆ๋‹ค.

๋‚˜๋Š” Cuda10 ๋ฐ cudaNN 7.3.1.20์„ ์‚ฌ์šฉํ•˜๊ณ  ์žˆ์œผ๋ฉฐ ๋‹ค์Œ ์˜ค๋ฅ˜๊ฐ€ ๋ฐœ์ƒํ–ˆ์Šต๋‹ˆ๋‹ค. ๋ˆ„๊ตฐ๊ฐ€ ์†”๋ฃจ์…˜ @tensorflowbutler๋ฅผ ๋งํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๊นŒ?
์—ญ์ถ”์ (๊ฐ€์žฅ ์ตœ๊ทผ ํ˜ธ์ถœ ๋งˆ์ง€๋ง‰):
ํŒŒ์ผ "C:\Users\Darshan\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", ์ค„ 58,
tensorflow.python.pywrap_tensorflow_internal ๊ฐ€์ ธ์˜ค๊ธฐ์—์„œ *
ํŒŒ์ผ "C:\Users\Darshan\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", 28ํ–‰,
_pywrap_tensorflow_internal = swig_import_helper()
ํŒŒ์ผ "C:\Users\Darshan\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", 24ํ–‰, swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, ๊ฒฝ๋กœ ์ด๋ฆ„, ์„ค๋ช…)
load_module์˜ ํŒŒ์ผ "C:\Users\Darshan\AppData\Local\Programs\Python\Python36\lib\imp.py", 243ํ–‰
return load_dynamic(์ด๋ฆ„, ํŒŒ์ผ ์ด๋ฆ„, ํŒŒ์ผ)
load_dynamic์˜ ํŒŒ์ผ "C:\Users\Darshan\AppData\Local\Programs\Python\Python36\lib\imp.py", 343ํ–‰
๋ฐ˜ํ™˜ _load(์‚ฌ์–‘)
ImportError: DLL ๋กœ๋“œ ์‹คํŒจ: ์ง€์ •๋œ ๋ชจ๋“ˆ์„ ์ฐพ์„ ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค.

์œ„์˜ ์˜ˆ์™ธ๋ฅผ ์ฒ˜๋ฆฌํ•˜๋Š” ๋™์•ˆ ๋‹ค๋ฅธ ์˜ˆ์™ธ๊ฐ€ ๋ฐœ์ƒํ–ˆ์Šต๋‹ˆ๋‹ค.

์—ญ์ถ”์ (๊ฐ€์žฅ ์ตœ๊ทผ ํ˜ธ์ถœ ๋งˆ์ง€๋ง‰):
ํŒŒ์ผ "", 1ํ–‰, ์—์„œ
ํŒŒ์ผ "C:\Users\Darshan\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow__init__.py", 22ํ–‰
from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import
ํŒŒ์ผ "C:\Users\Darshan\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python__init__.py", 49ํ–‰,
tensorflow.python์—์„œ ๊ฐ€์ ธ์˜ค๊ธฐ pywrap_tensorflow
ํŒŒ์ผ "C:\Users\Darshan\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", ๋ผ์ธ 74,
ImportError(msg) ๋ฐœ์ƒ
ImportError: ์—ญ์ถ”์ (๊ฐ€์žฅ ์ตœ๊ทผ ํ˜ธ์ถœ ๋งˆ์ง€๋ง‰):
ํŒŒ์ผ "C:\Users\Darshan\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", ๋ผ์ธ 58,
tensorflow.python.pywrap_tensorflow_internal ๊ฐ€์ ธ์˜ค๊ธฐ์—์„œ *
ํŒŒ์ผ "C:\Users\Darshan\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", 28ํ–‰,
_pywrap_tensorflow_internal = swig_import_helper()
ํŒŒ์ผ "C:\Users\Darshan\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", 24ํ–‰, swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, ๊ฒฝ๋กœ ์ด๋ฆ„, ์„ค๋ช…)
load_module์˜ ํŒŒ์ผ "C:\Users\Darshan\AppData\Local\Programs\Python\Python36\lib\imp.py", 243ํ–‰
return load_dynamic(์ด๋ฆ„, ํŒŒ์ผ ์ด๋ฆ„, ํŒŒ์ผ)
load_dynamic์˜ ํŒŒ์ผ "C:\Users\Darshan\AppData\Local\Programs\Python\Python36\lib\imp.py", 343ํ–‰
๋ฐ˜ํ™˜ _load(์‚ฌ์–‘)
ImportError: DLL ๋กœ๋“œ ์‹คํŒจ: ์ง€์ •๋œ ๋ชจ๋“ˆ์„ ์ฐพ์„ ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค.

๊ธฐ๋ณธ TensorFlow ๋Ÿฐํƒ€์ž„์„ ๋กœ๋“œํ•˜์ง€ ๋ชปํ–ˆ์Šต๋‹ˆ๋‹ค.

๋™์ผํ•œ ๋ฌธ์ œ, Windows 10 x64, python3.5, tensorflow-gpu 1.11.0, CUDA 10.0, cudnn 7.3.1, ๋‚ด ๊ทธ๋ž˜ํ”ฝ ์นด๋“œ๋Š” GTX 1070Ti

@iteratorlee

์‹œ์Šคํ…œ ๊ตฌ์„ฑ์ด ์‚ฌ๋žŒ๋งˆ๋‹ค ๋‹ค๋ฅผ ์ˆ˜ ์žˆ์œผ๋ฏ€๋กœ ์ด ๋ฌธ์ œ์— ์ง๋ฉดํ•œ ๋ชจ๋“  ์‚ฌ๋žŒ๋“ค์ด TensorFlow repo ์—์„œ ์ƒˆ๋กœ์šด ๋ฌธ์ œ๋ฅผ ์ƒ์„ฑํ•˜์—ฌ ๊ฐœ๋ณ„์ ์œผ๋กœ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๋Š” ๋ฐ ์ง‘์ค‘ํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•˜๊ณ  ์‹ถ์Šต๋‹ˆ๋‹ค. ๊ฐ์‚ฌ ํ•ด์š”!

๊ฐ™์€ ๋ฌธ์ œ, cuda 10์—์„œ ์•„๋‚˜์ฝ˜๋‹ค๋ฅผ ์„ค์น˜ํ•  ๋•Œ "pip install PyHamcrest"๋ฅผ ์„ค์น˜ํ•œ ํ›„ PyHamcrest๋ฅผ ๋†“์ณค์Šต๋‹ˆ๋‹ค. ๋ชจ๋‘ ์˜ค๋Š˜๊นŒ์ง€ ์ž˜ ์ž‘๋™ํ–ˆ์Šต๋‹ˆ๋‹ค. ๊ฐ™์€ ์˜ค๋ฅ˜๊ฐ€ ๋ฐœ์ƒํ•ฉ๋‹ˆ๋‹ค.

๋‚˜๋Š” ๊ฐ™์€ ๋ฌธ์ œ์— ์ง๋ฉดํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ๋ฌธ์ œ๋Š” ์ „์ž ํ˜„๋ฏธ๊ฒฝ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ์œ„ํ•ด PyQSTEM์ด๋ผ๋Š” ๋‹ค๋ฅธ ํŒจํ‚ค์ง€๋ฅผ ๊ฐ€์ ธ์˜ฌ ๋•Œ๋„ ๋‚˜ํƒ€๋‚ฉ๋‹ˆ๋‹ค. ๋ˆ„๊ตฐ๊ฐ€ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•  ๋ฐฉ๋ฒ•์„ ์ฐพ์„ ์ˆ˜ ์žˆ๋‹ค๋ฉด ์—ฌ๊ธฐ์— ํ•ด๊ฒฐ์ฑ…์„ ๊ณต์œ ํ•ด ์ฃผ์‹œ๊ฒ ์Šต๋‹ˆ๊นŒ? ๊ฐ์‚ฌ ํ•ด์š”

๋™์ผํ•œ ๋ฌธ์ œ, Windows 10 x64, python3.5, tensorflow-gpu 1.11.0, CUDA 10.0, cudnn 7.3.1, ๋‚ด ๊ทธ๋ž˜ํ”ฝ ์นด๋“œ๋Š” GTX 1070Ti

๊ฐ™์€ ๋ฌธ์ œ๋กœ CUDA 9.0์„ ์„ค์น˜ํ•˜๋ ค๊ณ  ์‹œ๋„ํ–ˆ์ง€๋งŒ NVIDIA์—์„œ ๋“œ๋ผ์ด๋ฒ„๊ฐ€ ํ˜ธํ™˜๋˜๋Š” ๊ทธ๋ž˜ํ”ฝ ํ•˜๋“œ์›จ์–ด๊ฐ€ ์•„๋‹ˆ๋ผ๊ณ  ์•Œ๋ ค์ฃผ์ง€๋งŒ CUDA 10.0์—์„œ๋Š” ๊ทธ๋Ÿฌํ•œ ๊ฒฝ๊ณ ๊ฐ€ ์—†์Šต๋‹ˆ๋‹ค.

์šด์ด ์ข‹๊ฒŒ๋„ C++ ํŒจํ‚ค์ง€๊ฐ€ ์„ค์น˜๋œ Visual Studio 2017, Windows 10 x64, python3.6.7, tensorflow-gpu 1.11.0, cudnn 7.3.1, cuda 9.0 ๋ฐ cuda 10.0์ด ๋ชจ๋‘ ์„ค์น˜๋œ ๊ฒฝ์šฐ ๋ฌธ์ œ๊ฐ€ ํ•ด๊ฒฐ๋˜์—ˆ์Šต๋‹ˆ๋‹ค(์–ด๋Š ๊ฒƒ์ด ์˜ฌ๋ฐ”๋ฅธ ๊ฒƒ์ธ์ง€ ํ™•์ธํ•˜์ง€ ์•Š์Œ) , ๋‚ด ๊ทธ๋ž˜ํ”ฝ ์นด๋“œ๋Š” GTX 1070Ti์ž…๋‹ˆ๋‹ค.

๋ฐฉ๊ธˆ TensorFlow๋ฅผ 1.10.0์œผ๋กœ ๋‹ค์šด๊ทธ๋ ˆ์ด๋“œํ–ˆ๋Š”๋ฐ ์ž‘๋™ํ–ˆ์Šต๋‹ˆ๋‹ค.

pip install tensorflow-gpu==1.10.0

๋งˆ์ง€๋ง‰์œผ๋กœ tensorflow 1.12.0 ๋ฐ cudnn 7.4.1.5์™€ ํ•จ๊ป˜ 9.2 ๋˜๋Š” 10.0 ๋Œ€์‹  cuda 9.0์„ ์„ค์น˜ํ•˜์—ฌ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•ฉ๋‹ˆ๋‹ค.

๋‹ค์Œ ์–ด์…ˆ๋ธ”๋ฆฌ๊ฐ€ Windows 10์—์„œ ์ž‘๋™ํ•˜์ง€ ์•Š์Œ์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

  • ํ…์„œํ”Œ๋กœ 1.12.0
  • ์ฟ ๋‹ค ํˆดํ‚ท 10.0.130
  • ์ปค๋“œ 7.4.1.5

์ถ”๊ฐ€ ์ •๋ณด:

  • NVIDIA ๋“œ๋ผ์ด๋ฒ„ 411.81์ด ํฌํ•จ๋œ NVIDIA Quadro P1000
  • Microsoft Visual C++ 2015 ์žฌ๋ฐฐํฌ ๊ฐ€๋Šฅ ํŒจํ‚ค์ง€ 14.0.24215( C:\Windows\system32\msvcp140.dll ์กด์žฌ)
  • ํŒŒ์ด์ฌ 3.6.7

๋ฉ”์‹œ์ง€๋„ ๋ฐ›๊ณ 

ImportError: DLL ๋กœ๋“œ ์‹คํŒจ: ์ง€์ •๋œ ๋ชจ๋“ˆ์„ ์ฐพ์„ ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค.

๋ถˆํ–‰ํžˆ๋„ ์–ด๋–ค ๋ชจ๋“ˆ์ด ๋ˆ„๋ฝ๋˜์—ˆ๋Š”์ง€ ์•Œ๋ ค์ฃผ์ง€ ์•Š์Šต๋‹ˆ๋‹ค.

[ํŽธ์ง‘ํ•˜๋‹ค]

๋‹น์‹ ์ด ์“ฐ๋Š” ๊ฒƒ์„ ๋ฐฉ๊ธˆ ๊นจ๋‹ฌ์•˜์Šต๋‹ˆ๋‹ค.

TensorFlow๋Š” CUDA 9.0์„ ์ง€์›ํ•ฉ๋‹ˆ๋‹ค.

์ง€๊ธˆ ๋‹ค์‹œ ์„ค์น˜ํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค.

์—ญ์ถ”์ (๊ฐ€์žฅ ์ตœ๊ทผ ํ˜ธ์ถœ ๋งˆ์ง€๋ง‰):
ํŒŒ์ผ "C:\Program Files\Python36\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", 58ํ–‰,
tensorflow.python.pywrap_tensorflow_internal ๊ฐ€์ ธ์˜ค๊ธฐ์—์„œ *
ํŒŒ์ผ "C:\Program Files\Python36\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", 28ํ–‰,
_pywrap_tensorflow_internal = swig_import_helper()
ํŒŒ์ผ "C:\Program Files\Python36\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", 24ํ–‰, swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, ๊ฒฝ๋กœ ์ด๋ฆ„, ์„ค๋ช…)
load_module์˜ ํŒŒ์ผ "C:\Program Files\Python36\lib\imp.py", ์ค„ 243
return load_dynamic(์ด๋ฆ„, ํŒŒ์ผ ์ด๋ฆ„, ํŒŒ์ผ)
load_dynamic์˜ ํŒŒ์ผ "C:\Program Files\Python36\lib\imp.py", 343ํ–‰
๋ฐ˜ํ™˜ _load(์‚ฌ์–‘)
ImportError: DLL ๋กœ๋“œ ์‹คํŒจ: %1์€(๋Š”) ์œ ํšจํ•œ Win32 ์‘์šฉ ํ”„๋กœ๊ทธ๋žจ์ด ์•„๋‹™๋‹ˆ๋‹ค.

์œ„์˜ ์˜ˆ์™ธ๋ฅผ ์ฒ˜๋ฆฌํ•˜๋Š” ๋™์•ˆ ๋‹ค๋ฅธ ์˜ˆ์™ธ๊ฐ€ ๋ฐœ์ƒํ–ˆ์Šต๋‹ˆ๋‹ค.

์—ญ์ถ”์ (๊ฐ€์žฅ ์ตœ๊ทผ ํ˜ธ์ถœ ๋งˆ์ง€๋ง‰):
ํŒŒ์ผ "C:\Users\ABC\Desktop\pyprograms\tensorflowbasic\1.py", 1ํ–‰,
ํ…์„œํ”Œ๋กœ๋ฅผ tf๋กœ ๊ฐ€์ ธ์˜ค๊ธฐ
ํŒŒ์ผ "C:\Program Files\Python36\lib\site-packages\tensorflow__init__.py", 24ํ–‰,
from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import
ํŒŒ์ผ "C:\Program Files\Python36\lib\site-packages\tensorflow\python__init__.py", 49ํ–‰,
tensorflow.python์—์„œ ๊ฐ€์ ธ์˜ค๊ธฐ pywrap_tensorflow
ํŒŒ์ผ "C:\Program Files\Python36\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", ๋ผ์ธ 74,
ImportError(msg) ๋ฐœ์ƒ
ImportError: ์—ญ์ถ”์ (๊ฐ€์žฅ ์ตœ๊ทผ ํ˜ธ์ถœ ๋งˆ์ง€๋ง‰):
ํŒŒ์ผ "C:\Program Files\Python36\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", 58ํ–‰,
tensorflow.python.pywrap_tensorflow_internal ๊ฐ€์ ธ์˜ค๊ธฐ์—์„œ *
ํŒŒ์ผ "C:\Program Files\Python36\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", 28ํ–‰,
_pywrap_tensorflow_internal = swig_import_helper()
ํŒŒ์ผ "C:\Program Files\Python36\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", 24ํ–‰, swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, ๊ฒฝ๋กœ ์ด๋ฆ„, ์„ค๋ช…)
load_module์˜ ํŒŒ์ผ "C:\Program Files\Python36\lib\imp.py", 243ํ–‰
return load_dynamic(์ด๋ฆ„, ํŒŒ์ผ ์ด๋ฆ„, ํŒŒ์ผ)
load_dynamic์˜ ํŒŒ์ผ "C:\Program Files\Python36\lib\imp.py", 343ํ–‰
๋ฐ˜ํ™˜ _load(์‚ฌ์–‘)
ImportError: DLL ๋กœ๋“œ ์‹คํŒจ: %1์€(๋Š”) ์œ ํšจํ•œ Win32 ์‘์šฉ ํ”„๋กœ๊ทธ๋žจ์ด ์•„๋‹™๋‹ˆ๋‹ค.

๋‚ด ์„ค์น˜:

์œˆ๋„์šฐ 10.0.17763.134 x64
NVIDIA ๋“œ๋ผ์ด๋ฒ„ 416.92
์ฟ ๋‹ค 10.0.130
CUDA 10.0์šฉ CUDNN 7.4.1.5
ํŒŒ์ด์ฌ 3.6.7
์ง€ํฌ์Šค GTX 1080 Ti

์ด ์˜ค๋ฅ˜์˜ ์›์ธ์€ Tcl/Tk ์ง€์› ์—†์ด Python์„ ์„ค์น˜ํ•˜๋Š” ์‚ฌ๋žŒ๋“ค์ด SWIG ๋ฐ ๋ชจ๋“ˆ ๊ฐ€์ ธ์˜ค๊ธฐ์— Tcl์ด ํ•„์š”ํ•˜๋‹ค๋Š” ๊ฒƒ์„ ๊นจ๋‹ซ์ง€ ๋ชปํ•˜๋Š” ๊ฒƒ ๊ฐ™์Šต๋‹ˆ๋‹ค. ๋ฐฉ๊ธˆ ์ด๊ฒƒ์„ ํ…Œ์ŠคํŠธํ–ˆ๊ณ  ์ œ ๊ฒฝ์šฐ์—๋Š” Tcl/Tk๋ฅผ ์ถ”๊ฐ€ํ•˜๊ธฐ ์œ„ํ•ด Python ์„ค์น˜๋ฅผ ์ˆ˜์ •ํ•˜๋Š” ๊ฒƒ๋งŒ์œผ๋กœ๋Š” ์ถฉ๋ถ„ํ•˜์ง€ ์•Š์•˜์Šต๋‹ˆ๋‹ค. ๋ชจ๋“  ๊ฒƒ์„ ์‚ญ์ œํ•˜๊ณ  ์ฒ˜์Œ๋ถ€ํ„ฐ ์„ค์น˜ํ•ด์•ผ ํ–ˆ์ง€๋งŒ ์ด์ œ ๋” ์ด์ƒ ์˜ค๋ฅ˜๊ฐ€ ๋ฐœ์ƒํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค.

TL;DR -- Tcl/Tk ์˜ต์…˜์„ ์„ ํƒํ•œ ์ƒํƒœ์—์„œ Python์„ ์™„์ „ํžˆ ์ œ๊ฑฐํ•˜๊ณ  ๋‹ค์‹œ ์„ค์น˜ํ•˜์‹ญ์‹œ์˜ค.

๊ฑฐ์˜ ์ดํ‹€์„ ๋ณด๋‚ธ ํ›„ ๋งˆ์นจ๋‚ด ๋‹ค์Œ์„ ์„ค์น˜ํ•˜์—ฌ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ–ˆ์Šต๋‹ˆ๋‹ค.

  • 9.2 ๋˜๋Š” 10.0 ๋Œ€์‹  cuda 9.0
  • ํ…์„œํ”Œ๋กœ์šฐ1.12.0
  • ์ปค๋“œ 7.4.1.5

@WuYunfan ๋•๋ถ„์— ๐Ÿ’ฏ

๋จผ์ € ์„ค์น˜ํ•ฉ๋‹ˆ๋‹ค

  • ์ฟ ๋‹ค 10.0
  • ์ปค๋“œ 7.3
  • ํ…์„œํ”Œ๋กœ 1.12.0

์ด ์˜ค๋ฅ˜๊ฐ€ ๋ฐœ์ƒํ–ˆ์Šต๋‹ˆ๋‹ค.
๊ทธ๋Ÿฐ ๋‹ค์Œ tf 1.12๋ฅผ ์ œ๊ฑฐํ•˜๊ณ  tf 1.10์„ ์„ค์น˜ํ•ฉ๋‹ˆ๋‹ค. cudart64.dll์„ ์š”์ฒญํ•ฉ๋‹ˆ๋‹ค. ๋‚˜๋Š” ๊ทธ๊ฒƒ์„ ๊ฒฝ๋กœ์— ์ถ”๊ฐ€ํ•˜๊ณ  tf๋Š” ์ž‘๋™ํ•ฉ๋‹ˆ๋‹ค.
๊ทธ๋Ÿฐ ๋‹ค์Œ tf 1.12๋ฅผ ๋‹ค์‹œ ์„ค์น˜ํ•˜๋ฉด ๋ชจ๋‘ ์ž˜ ์ž‘๋™ํ•ฉ๋‹ˆ๋‹ค.

TensorFlow๋Š” CUDA 9.0์„ ์ง€์›ํ•ฉ๋‹ˆ๋‹ค.

@ljzsky TensorFlow๊ฐ€ ๋ฒ„์ „ 1.13๋ถ€ํ„ฐ CUDA 10.0์„ ๊ณต์‹์ ์œผ๋กœ ์ง€์›ํ•˜๋Š” ๊ฒƒ์€ ์‚ฌ์‹ค์ด์ง€๋งŒ, TensorFlow 1.12๋Š” CUDA 10.0์— ๋Œ€ํ•ด ๋นŒ๋“œ๋  ์ˆ˜ ์žˆ๊ณ (๊ทธ๋ฆฌ๊ณ  ์ง€๊ธˆ๊นŒ์ง€) ์ž˜ ์ž‘๋™ํ•ฉ๋‹ˆ๋‹ค.

@linsui ๋‹น์‹ ์ด ๋งํ•˜๋Š” ๊ฒƒ์€ ์ „ํ˜€ ์˜๋ฏธ๊ฐ€ ์—†์Šต๋‹ˆ๋‹ค. TensorFlow๋Š” cudart64.dll์„ ์š”์ฒญํ•  ๋ฐฉ๋ฒ•์ด ์—†๋Š” ๋ผ์ด๋ธŒ๋Ÿฌ๋ฆฌ์ž…๋‹ˆ๋‹ค.

@levicki ์ด์œ ๋Š” ๋ชจ๋ฅด๊ฒ ์ง€๋งŒ tf1.10์€ tf1.11 โ€‹โ€‹๋ฐ tf1.12์™€ ๋‹ค๋ฅธ ๋ฉ”์‹œ์ง€๋ฅผ ํ‘œ์‹œํ•ฉ๋‹ˆ๋‹ค.

๋‚œ์ด ๋ฌธ์ œ๊ฐ€์žˆ์–ด
์—ญ์ถ”์ (๊ฐ€์žฅ ์ตœ๊ทผ ํ˜ธ์ถœ ๋งˆ์ง€๋ง‰):
ํŒŒ์ผ "C:\anaconda\envs\tensorflow\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", ๋ผ์ธ 58,
tensorflow.python.pywrap_tensorflow_internal ๊ฐ€์ ธ์˜ค๊ธฐ์—์„œ *
ํŒŒ์ผ "C:\anaconda\envs\tensorflow\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", 28ํ–‰,
_pywrap_tensorflow_internal = swig_import_helper()
ํŒŒ์ผ "C:\anaconda\envs\tensorflow\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", 24ํ–‰, swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, ๊ฒฝ๋กœ ์ด๋ฆ„, ์„ค๋ช…)
load_module์˜ ํŒŒ์ผ "C:\anaconda\envs\tensorflow\lib\imp.py", 243ํ–‰
return load_dynamic(์ด๋ฆ„, ํŒŒ์ผ ์ด๋ฆ„, ํŒŒ์ผ)
load_dynamic์˜ ํŒŒ์ผ "C:\anaconda\envs\tensorflow\lib\imp.py", 343ํ–‰
๋ฐ˜ํ™˜ _load(์‚ฌ์–‘)
ImportError: DLL ๋กœ๋“œ ์‹คํŒจ: ์ง€์ •๋œ ๋ชจ๋“ˆ์„ ์ฐพ์„ ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค.

์œ„์˜ ์˜ˆ์™ธ๋ฅผ ์ฒ˜๋ฆฌํ•˜๋Š” ๋™์•ˆ ๋‹ค๋ฅธ ์˜ˆ์™ธ๊ฐ€ ๋ฐœ์ƒํ–ˆ์Šต๋‹ˆ๋‹ค.

์—ญ์ถ”์ (๊ฐ€์žฅ ์ตœ๊ทผ ํ˜ธ์ถœ ๋งˆ์ง€๋ง‰):
ํŒŒ์ผ "", 1ํ–‰, ์—์„œ
ํŒŒ์ผ "C:\anaconda\envs\tensorflow\lib\site-packages\tensorflow__init__.py", 24ํ–‰,
from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import
ํŒŒ์ผ "C:\anaconda\envs\tensorflow\lib\site-packages\tensorflow\python__init__.py", ๋ผ์ธ 49,
tensorflow.python์—์„œ ๊ฐ€์ ธ์˜ค๊ธฐ pywrap_tensorflow
ํŒŒ์ผ "C:\anaconda\envs\tensorflow\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", ๋ผ์ธ 74,
ImportError(msg) ๋ฐœ์ƒ
ImportError: ์—ญ์ถ”์ (๊ฐ€์žฅ ์ตœ๊ทผ ํ˜ธ์ถœ ๋งˆ์ง€๋ง‰):
ํŒŒ์ผ "C:\anaconda\envs\tensorflow\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", ๋ผ์ธ 58,
tensorflow.python.pywrap_tensorflow_internal ๊ฐ€์ ธ์˜ค๊ธฐ์—์„œ *
ํŒŒ์ผ "C:\anaconda\envs\tensorflow\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", 28ํ–‰,
_pywrap_tensorflow_internal = swig_import_helper()
ํŒŒ์ผ "C:\anaconda\envs\tensorflow\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", 24ํ–‰, swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, ๊ฒฝ๋กœ ์ด๋ฆ„, ์„ค๋ช…)
load_module์˜ ํŒŒ์ผ "C:\anaconda\envs\tensorflow\lib\imp.py", 243ํ–‰
return load_dynamic(์ด๋ฆ„, ํŒŒ์ผ ์ด๋ฆ„, ํŒŒ์ผ)
load_dynamic์˜ ํŒŒ์ผ "C:\anaconda\envs\tensorflow\lib\imp.py", 343ํ–‰
๋ฐ˜ํ™˜ _load(์‚ฌ์–‘)
ImportError: DLL ๋กœ๋“œ ์‹คํŒจ: ์ง€์ •๋œ ๋ชจ๋“ˆ์„ ์ฐพ์„ ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค.
๊ธฐ๋ณธ TensorFlow ๋Ÿฐํƒ€์ž„์„ ๋กœ๋“œํ•˜์ง€ ๋ชปํ–ˆ์Šต๋‹ˆ๋‹ค.

๋ˆ„๊ตฐ๊ฐ€๊ฐ€์ด ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ๋งํ•ด ์ค„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๊นŒ?

@thischeng
์ด๊ฒƒ์€ ์ง€์› ํฌ๋Ÿผ์ด ์•„๋‹ˆ๋ฉฐ ๊ฐœ๋ฐœ์ž๊ฐ€ ๋ฌธ์ œ๋ฅผ ์žฌํ˜„ํ•  ์ˆ˜ ์žˆ๋„๋ก ์ถฉ๋ถ„ํ•œ ์ •๋ณด์™€ ํ•จ๊ป˜ ๋ฌธ์ œ๊ฐ€ ๋ณด๊ณ ๋˜๋Š” ๊ณณ์ด๋ฉฐ, tensorflow ์ฝ”๋“œ์—์„œ ์‹ค์ œ ๋ฌธ์ œ๋กœ ํŒ๋ช…๋˜๋ฉด ํ–ฅํ›„ ๋ฆด๋ฆฌ์Šค ์ค‘ ํ•˜๋‚˜์—์„œ ์ˆ˜์ •๋  ๊ฒƒ์ž…๋‹ˆ๋‹ค.

์ €๋ฅผ ํฌํ•จํ•˜์—ฌ ์œ„์— ๊ฒŒ์‹œ๋œ ๋ช‡ ๊ฐ€์ง€ ํ•ด๊ฒฐ ๋ฐฉ๋ฒ•์ด ์žˆ๊ธฐ ๋•Œ๋ฌธ์— ์ด ์Šค๋ ˆ๋“œ๋ฅผ ์ฝ๋Š” ๋ฐ ์‹ ๊ฒฝ์„ ์“ฐ์ง€ ์•Š์€ ๊ฒƒ ๊ฐ™์Šต๋‹ˆ๋‹ค.

๋งˆ์ง€๋ง‰์œผ๋กœ, ์ „์ฒด ํ•˜๋“œ์›จ์–ด ๋ฐ ์†Œํ”„ํŠธ์›จ์–ด ๊ตฌ์„ฑ์„ ์ง€์ •ํ•˜์ง€ ์•Š๊ณ  ์Šค์Šค๋กœ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด ์ง€๊ธˆ๊นŒ์ง€ ์ทจํ•œ ๋‹จ๊ณ„๋ฅผ ๋‚˜์—ดํ•˜์ง€ ์•Š๊ณ  ๋„์›€์„ ์š”์ฒญํ•˜๋Š” ๊ฒƒ์€ ๋ฌด๋ก€ํ•ฉ๋‹ˆ๋‹ค.

@levicki
๋น„ํŒํ•ด์ฃผ์…”์„œ ๊ฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค. ์ œ๊ฐ€ ๋ช…ํ™•ํ•˜๊ฒŒ ๋ณด์ง€ ๋ชปํ–ˆ์Šต๋‹ˆ๋‹ค. ๋‹ค์Œ์—๋Š” ์ œ ์งˆ๋ฌธ ๋ฐฉ์‹์— ์ฃผ์˜๋ฅผ ๊ธฐ์šธ์ด๊ฒ ์Šต๋‹ˆ๋‹ค.

๊ฐ™์€ ๋ฌธ์ œ๊ฐ€ ๋ฐœ์ƒํ–ˆ์Šต๋‹ˆ๋‹ค. ๋‚ด ๊ตฌ์„ฑ์€ ๋‹ค์Œ๊ณผ ๊ฐ™์Šต๋‹ˆ๋‹ค.

  • CUDA Toolkit v9.0(Visual Studio ์ง€์› ์—†์ด ์„ค์น˜๋จ)
  • Tensorflow-gpu v 1.12.0(pip์™€ ํ•จ๊ป˜ ์„ค์น˜๋จ)
  • cudnn v7.4.1.5 CUDA v9.0๊ณผ ํ˜ธํ™˜๋ฉ๋‹ˆ๋‹ค.
  • ์—”๋น„๋””์•„ ์ง€ํฌ์Šค 1070
  • ์œˆ๋„์šฐ 10 ํ™ˆ

tensorflow๊ฐ€ ์˜ฌ๋ฐ”๋ฅธ dll ํŒŒ์ผ์„ ์ฐพ์ง€ ๋ชปํ•œ ์ด์œ ๋ฅผ ์•Œ์•„๋‚ด๋Š”๋ฐ ๊ฑฐ์˜ ํ•˜๋ฃจ๋ฅผ ๋ณด๋‚ธ ํ›„, cudnn์„ ์„ค์น˜ํ•˜๋Š” ๋ฐฉ๋ฒ•์— ๋Œ€ํ•œ ๊ฐ€์ด๋“œ๋ฅผ ์ฐพ์•˜์Šต๋‹ˆ๋‹ค. ๊ทธ๊ฑด ๊ทธ๋ ‡๊ณ , ์ƒ๊ฐ๋ณด๋‹ค ๊ฐ„๋‹จํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค. ์ด ๊ฐ€์ด๋“œ๋Š” nVidia์—์„œ ์ž‘์„ฑํ–ˆ์œผ๋ฉฐ ์—ฌ๊ธฐ์— ๋‚ด๊ฐ€ ๋”ฐ๋ฅด๋Š” ์ž‘์—…์ด ์žˆ์Šต๋‹ˆ๋‹ค.

  1. nVidia ๊ณต์‹ ์‚ฌ์ดํŠธ์—์„œ ๊ตฌ์„ฑ์— ๋งž๋Š” ์˜ฌ๋ฐ”๋ฅธ cudnn ๋ฒ„์ „์„ ๋‹ค์šด๋กœ๋“œํ•ฉ๋‹ˆ๋‹ค.
  2. ๊ทธ๋Ÿฐ ๋‹ค์Œ cuda ํด๋”๋ฅผ ์ถ”์ถœํ•˜์‹ญ์‹œ์˜ค. ์ถ”์ถœ ์œ„์น˜๋Š” ์ค‘์š”ํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค.
  3. ํŒŒ์ผ ํƒ์ƒ‰๊ธฐ๋ฅผ ์—ด๊ณ  CUDA๋ฅผ ์„ค์น˜ํ•œ ๋””๋ ‰ํ† ๋ฆฌ๋กœ ์ด๋™ํ•ฉ๋‹ˆ๋‹ค. ์ œ ๊ฒฝ์šฐ์—๋Š” C:/Program Files/NVIDIA GPU Computing Toolkit์ด์—ˆ์Šต๋‹ˆ๋‹ค.
  4. CUDA/v9.0/lib/x64๋กœ ์ด๋™ํ•ฉ๋‹ˆ๋‹ค. ์—ฌ๊ธฐ์— CUDA/lib/x64(cudnn ํŒจํ‚ค์ง€, nVidia์—์„œ ๋‹ค์šด๋กœ๋“œ)์—์„œ ์ฐพ์„ ์ˆ˜ ์žˆ๋Š” "cudnn.lib"๋ผ๋Š” ํŒŒ์ผ์„ ๋„ฃ์–ด์•ผ ํ•ฉ๋‹ˆ๋‹ค.
  5. (์™ผ์ชฝ cudnn ํŒจํ‚ค์ง€, ์˜ค๋ฅธ์ชฝ CUDA ์„ค์น˜ ๊ฒฝ๋กœ)์— ๋Œ€ํ•ด ํ”„๋กœ์„ธ์Šค๋ฅผ ๋ฐ˜๋ณตํ•ฉ๋‹ˆ๋‹ค.
  6. CUDA/bin/cudnn64_7.dll -> CUDA/v9.0/bin
  7. CUDA/include/cudnn.h -> CUDA/v9.0/include
  8. ์ด์ œ ํ™˜๊ฒฝ ๋ณ€์ˆ˜๊ฐ€ ์˜ฌ๋ฐ”๋ฅด๊ฒŒ ์„ค์ •๋˜์—ˆ๋Š”์ง€ ํ™•์ธํ•ด์•ผ ํ•ฉ๋‹ˆ๋‹ค. ์ถ”๊ฐ€ํ•˜์ง€ ์•Š์€ ๊ฒฝ์šฐ C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0 ๊ฐ’์ด ์žˆ๋Š” CUDA_PATH ๋ณ€์ˆ˜๊ฐ€ ์žˆ๋Š”์ง€ ํ™•์ธํ•˜์‹ญ์‹œ์˜ค.
  9. ์‹œ์Šคํ…œ์—์„œ tensorflow-gpu ์ž‘์—…์„ ์ฆ๊ธฐ์‹ญ์‹œ์˜ค.

๊ฐ™์€ ๋ฌธ์ œ๊ฐ€ ๋ฐœ์ƒํ–ˆ์Šต๋‹ˆ๋‹ค. ๋‚ด ๊ตฌ์„ฑ์€ ๋‹ค์Œ๊ณผ ๊ฐ™์Šต๋‹ˆ๋‹ค.

  • CUDA Toolkit v9.0(Visual Studio ์ง€์› ์—†์ด ์„ค์น˜๋จ)
  • Tensorflow-gpu v 1.12.0(pip์™€ ํ•จ๊ป˜ ์„ค์น˜๋จ)
  • cudnn v7.4.1.5 CUDA v9.0๊ณผ ํ˜ธํ™˜๋ฉ๋‹ˆ๋‹ค.
  • ์—”๋น„๋””์•„ ์ง€ํฌ์Šค 1070
  • ์œˆ๋„์šฐ 10 ํ™ˆ

tensorflow๊ฐ€ ์˜ฌ๋ฐ”๋ฅธ dll ํŒŒ์ผ์„ ์ฐพ์ง€ ๋ชปํ•œ ์ด์œ ๋ฅผ ์•Œ์•„๋‚ด๋Š”๋ฐ ๊ฑฐ์˜ ํ•˜๋ฃจ๋ฅผ ๋ณด๋‚ธ ํ›„, cudnn์„ ์„ค์น˜ํ•˜๋Š” ๋ฐฉ๋ฒ•์— ๋Œ€ํ•œ ๊ฐ€์ด๋“œ๋ฅผ ์ฐพ์•˜์Šต๋‹ˆ๋‹ค. ๊ทธ๊ฑด ๊ทธ๋ ‡๊ณ , ์ƒ๊ฐ๋ณด๋‹ค ๊ฐ„๋‹จํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค. ์ด ๊ฐ€์ด๋“œ๋Š” nVidia์—์„œ ์ž‘์„ฑํ–ˆ์œผ๋ฉฐ ์—ฌ๊ธฐ์— ๋‚ด๊ฐ€ ๋”ฐ๋ฅด๋Š” ์ž‘์—…์ด ์žˆ์Šต๋‹ˆ๋‹ค.

  1. nVidia ๊ณต์‹ ์‚ฌ์ดํŠธ์—์„œ ๊ตฌ์„ฑ์— ๋งž๋Š” ์˜ฌ๋ฐ”๋ฅธ cudnn ๋ฒ„์ „์„ ๋‹ค์šด๋กœ๋“œํ•ฉ๋‹ˆ๋‹ค.
  2. ๊ทธ๋Ÿฐ ๋‹ค์Œ cuda ํด๋”๋ฅผ ์ถ”์ถœํ•˜์‹ญ์‹œ์˜ค. ์ถ”์ถœ ์œ„์น˜๋Š” ์ค‘์š”ํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค.
  3. ํŒŒ์ผ ํƒ์ƒ‰๊ธฐ๋ฅผ ์—ด๊ณ  CUDA๋ฅผ ์„ค์น˜ํ•œ ๋””๋ ‰ํ† ๋ฆฌ๋กœ ์ด๋™ํ•ฉ๋‹ˆ๋‹ค. ์ œ ๊ฒฝ์šฐ์—๋Š” C:/Program Files/NVIDIA GPU Computing Toolkit์ด์—ˆ์Šต๋‹ˆ๋‹ค.
  4. CUDA/v9.0/lib/x64๋กœ ์ด๋™ํ•ฉ๋‹ˆ๋‹ค. ์—ฌ๊ธฐ์— CUDA/lib/x64(cudnn ํŒจํ‚ค์ง€, nVidia์—์„œ ๋‹ค์šด๋กœ๋“œ)์—์„œ ์ฐพ์„ ์ˆ˜ ์žˆ๋Š” "cudnn.lib"๋ผ๋Š” ํŒŒ์ผ์„ ๋„ฃ์–ด์•ผ ํ•ฉ๋‹ˆ๋‹ค.
  5. (์™ผ์ชฝ cudnn ํŒจํ‚ค์ง€, ์˜ค๋ฅธ์ชฝ CUDA ์„ค์น˜ ๊ฒฝ๋กœ)์— ๋Œ€ํ•ด ํ”„๋กœ์„ธ์Šค๋ฅผ ๋ฐ˜๋ณตํ•ฉ๋‹ˆ๋‹ค.
  • CUDA/bin/cudnn64_7.dll -> CUDA/v9.0/bin
  • CUDA/include/cudnn.h -> CUDA/v9.0/include
  1. ์ด์ œ ํ™˜๊ฒฝ ๋ณ€์ˆ˜๊ฐ€ ์˜ฌ๋ฐ”๋ฅด๊ฒŒ ์„ค์ •๋˜์—ˆ๋Š”์ง€ ํ™•์ธํ•ด์•ผ ํ•ฉ๋‹ˆ๋‹ค. ์ถ”๊ฐ€ํ•˜์ง€ ์•Š์€ ๊ฒฝ์šฐ C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0 ๊ฐ’์ด ์žˆ๋Š” CUDA_PATH ๋ณ€์ˆ˜๊ฐ€ ์žˆ๋Š”์ง€ ํ™•์ธํ•˜์‹ญ์‹œ์˜ค.
  2. ์‹œ์Šคํ…œ์—์„œ tensorflow-gpu ์ž‘์—…์„ ์ฆ๊ธฐ์‹ญ์‹œ์˜ค.

๊ฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค! ๋‚ด ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ–ˆ์Šต๋‹ˆ๋‹ค!
๋‚ด ์‹œ์Šคํ…œ:
์œˆ๋„์šฐ 10
ํŒŒ์ด์ฌ 3.6
์ฟ ๋‹ค ํˆดํ‚ท v9.0
์ปค๋“œ 7.4.2
๊ทธ๋ž˜ํ”ฝ ์นด๋“œ: Nvidia p4000

v10 ๋ฐ ๊ด€๋ จ cudnn์„ ์ œ๊ฑฐํ•œ ๋‹ค์Œ ์œ„์—์„œ ์–ธ๊ธ‰ํ•œ ๊ฒƒ์„ ์„ค์น˜ํ•œ ๋‹ค์Œ (andpi314)์˜ ์ž์Šต์„œ๋ฅผ ๋”ฐ๋ฆ…๋‹ˆ๋‹ค.
Tensor Flow GPU๊ฐ€ ์‹คํ–‰ ์ค‘์ž…๋‹ˆ๋‹ค.

์ด๊ฒƒ์€ ๋‚ด ์ƒํ™ฉ์ž…๋‹ˆ๋‹ค. cudnn์˜ ๋ณต์‚ฌ ๋ฐ ๋ถ™์—ฌ๋„ฃ๊ธฐ๋ฅผ ํ™•์ธํ•˜๊ณ  bin, include, lib, ์„ธ ํด๋”์˜ ํŒŒ์ผ์ด cuda์˜ ๋™์ผํ•œ ๊ฒฝ๋กœ์— ๋ณต์‚ฌ ๋ฐ ๋ถ™์—ฌ๋„ฃ๊ธฐ๋˜์–ด ์žˆ๋Š”์ง€ ํ™•์ธํ•˜์‹ญ์‹œ์˜ค. ์‹œ์Šคํ…œ ๊ฒฝ๋กœ๋ฅผ ํ™•์ธํ•œ ํ›„ ์ž˜๋ชป๋œ ๊ฒฝ๋กœ๋กœ ๋ณต์‚ฌํ•ฉ๋‹ˆ๋‹ค. cuda์˜ ๊ฒฝ์šฐ ๋ณต์‚ฌ ๋ฐ ๋ถ™์—ฌ๋„ฃ๊ธฐ๋ฅผ ๋‹ค์‹œ ์ˆ˜ํ–‰ํ•˜๋ฉด ์˜ฌ๋ฐ”๋ฅด๊ฒŒ ์‹คํ–‰๋ฉ๋‹ˆ๋‹ค.

์—ญ์ถ”์ (๊ฐ€์žฅ ์ตœ๊ทผ ํ˜ธ์ถœ ๋งˆ์ง€๋ง‰):
ํŒŒ์ผ "C:\Users\SPECTRE\Anaconda3\envs\tfpose\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", ์ค„ 58,
tensorflow.python.pywrap_tensorflow_internal ๊ฐ€์ ธ์˜ค๊ธฐ์—์„œ *
ํŒŒ์ผ "C:\Users\SPECTRE\Anaconda3\envs\tfpose\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", ๋ผ์ธ 28,
_pywrap_tensorflow_internal = swig_import_helper()
ํŒŒ์ผ "C:\Users\SPECTRE\Anaconda3\envs\tfpose\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", 24ํ–‰, swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, ๊ฒฝ๋กœ ์ด๋ฆ„, ์„ค๋ช…)
load_module์˜ ํŒŒ์ผ "C:\Users\SPECTRE\Anaconda3\envs\tfpose\lib\imp.py", 243ํ–‰
return load_dynamic(์ด๋ฆ„, ํŒŒ์ผ ์ด๋ฆ„, ํŒŒ์ผ)
load_dynamic์˜ ํŒŒ์ผ "C:\Users\SPECTRE\Anaconda3\envs\tfpose\lib\imp.py", 343ํ–‰
๋ฐ˜ํ™˜ _load(์‚ฌ์–‘)
ImportError: DLL ๋กœ๋“œ ์‹คํŒจ: ์ง€์ •๋œ ๋ชจ๋“ˆ์„ ์ฐพ์„ ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค.

์œ„์˜ ์˜ˆ์™ธ๋ฅผ ์ฒ˜๋ฆฌํ•˜๋Š” ๋™์•ˆ ๋‹ค๋ฅธ ์˜ˆ์™ธ๊ฐ€ ๋ฐœ์ƒํ–ˆ์Šต๋‹ˆ๋‹ค.

์—ญ์ถ”์ (๊ฐ€์žฅ ์ตœ๊ทผ ํ˜ธ์ถœ ๋งˆ์ง€๋ง‰):
ํŒŒ์ผ "", 1ํ–‰, ์—์„œ
ํŒŒ์ผ "C:\Users\SPECTRE\Anaconda3\envs\tfpose\lib\site-packages\tensorflow__init__.py", 24ํ–‰,
from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import
ํŒŒ์ผ "C:\Users\SPECTRE\Anaconda3\envs\tfpose\lib\site-packages\tensorflow\python__init__.py", ๋ผ์ธ 49,
tensorflow.python์—์„œ ๊ฐ€์ ธ์˜ค๊ธฐ pywrap_tensorflow
ํŒŒ์ผ "C:\Users\SPECTRE\Anaconda3\envs\tfpose\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", ๋ผ์ธ 74,
ImportError(msg) ๋ฐœ์ƒ
ImportError: ์—ญ์ถ”์ (๊ฐ€์žฅ ์ตœ๊ทผ ํ˜ธ์ถœ ๋งˆ์ง€๋ง‰):
ํŒŒ์ผ "C:\Users\SPECTRE\Anaconda3\envs\tfpose\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", ์ค„ 58,
tensorflow.python.pywrap_tensorflow_internal ๊ฐ€์ ธ์˜ค๊ธฐ์—์„œ *
ํŒŒ์ผ "C:\Users\SPECTRE\Anaconda3\envs\tfpose\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", ๋ผ์ธ 28,
_pywrap_tensorflow_internal = swig_import_helper()
ํŒŒ์ผ "C:\Users\SPECTRE\Anaconda3\envs\tfpose\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", 24ํ–‰, swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, ๊ฒฝ๋กœ ์ด๋ฆ„, ์„ค๋ช…)
load_module์˜ ํŒŒ์ผ "C:\Users\SPECTRE\Anaconda3\envs\tfpose\lib\imp.py", 243ํ–‰
return load_dynamic(์ด๋ฆ„, ํŒŒ์ผ ์ด๋ฆ„, ํŒŒ์ผ)
load_dynamic์˜ ํŒŒ์ผ "C:\Users\SPECTRE\Anaconda3\envs\tfpose\lib\imp.py", 343ํ–‰
๋ฐ˜ํ™˜ _load(์‚ฌ์–‘)
ImportError: DLL ๋กœ๋“œ ์‹คํŒจ: ์ง€์ •๋œ ๋ชจ๋“ˆ์„ ์ฐพ์„ ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค.

๊ธฐ๋ณธ TensorFlow ๋Ÿฐํƒ€์ž„์„ ๋กœ๋“œํ•˜์ง€ ๋ชปํ–ˆ์Šต๋‹ˆ๋‹ค.

๋‚˜๋Š” ๊ฐ™์€ ์ƒํ™ฉ์„ ๋งŒ๋‚ฌ๊ณ  ๋‚ด ๊ตฌ์„ฑ์€ ๋‹ค์Œ๊ณผ ๊ฐ™์Šต๋‹ˆ๋‹ค.
์ฟ ๋‹ค10
CUDA10์šฉ cudnn v7.4
ํ…์„œํ”Œ๋กœ์šฐ GPU v1.12.0

CUDA9๋ฅผ ์ œ์•ˆํ•˜๋Š” ์œ„์˜ ์†”๋ฃจ์…˜์„ ๋ณด์•˜์ง€๋งŒ ๋‚ด GeForce ์ปจํŠธ๋กค๋Ÿฌ์˜ ์ •๋ณด๋Š” ๋‚ด GPU GTX1050Ti๊ฐ€ CUDA10๋งŒ ์ง€์›ํ•œ๋‹ค๋Š” ๊ฒƒ์„ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค("NVIDIA CUDA 10.0.132 ๋“œ๋ผ์ด๋ฒ„"๋ผ๊ณ  ์ž‘์„ฑ, ์‹ค์ œ๋กœ๋Š” ๊ทธ๊ฒƒ์ด ์˜๋ฏธํ•˜๋Š” ๋ฐ”๋ฅผ ๋ชจ๋ฅด๊ฒ ์Šต๋‹ˆ๋‹ค), ์–ด๋–ป๊ฒŒ ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๊นŒ? ์ด๊ฒƒ์„ ํ•ด๊ฒฐ?

CUDA9์™€ cuDNN 7.0.5๋ฅผ ๋‹ค์‹œ ์„ค์น˜ํ•˜๊ณ  ์ปดํ“จํ„ฐ๋ฅผ ๋‹ค์‹œ ์‹œ์ž‘ํ–ˆ์Šต๋‹ˆ๋‹ค. ๊ด€๋ จ ๋ฌธ์ œ๊ฐ€ ๋ฐฉ๊ธˆ ์‚ฌ๋ผ์กŒ์Šต๋‹ˆ๋‹ค.

@Asihurter ๋™์ผํ•œ ๊ทธ๋ž˜ํ”ฝ ์นด๋“œ๋ฅผ ๊ฐ€์ง€๊ณ  ์žˆ์œผ๋ฉฐ ์œ„์˜ ์กฐํ•ฉ์— ๋ฌธ์ œ๊ฐ€ ์—†์Šต๋‹ˆ๋‹ค.

์†”๋ฃจ์…˜ ! CUDA 10์œผ๋กœ TF๋ฅผ ์‹คํ–‰ํ•˜๋ ค๋Š” ๊ฒฝ์šฐ

Tensorflow 1.12๋Š” CUDA 10์„ ์ง€์›ํ•˜์ง€ ์•Š์ง€๋งŒ ์•ผ๊ฐ„ ๋นŒ๋“œ๋Š” ์ง€์›ํ•ฉ๋‹ˆ๋‹ค.

2๊ฐ€์ง€ ์†”๋ฃจ์…˜์ด ์žˆ์Šต๋‹ˆ๋‹ค

  1. TF 1.12 ์ œ๊ฑฐ ๋ฐ ์•ผ๊ฐ„ ๋นŒ๋“œ 1.13 ์„ค์น˜
    pip ์ œ๊ฑฐ tensorflow-gpu
    pip ์„ค์น˜ tf-nightly-gpu

๋Œ€์ฒด ์†”๋ฃจ์…˜: CUDA๋ฅผ 9.0์œผ๋กœ ๋‹ค์šด๊ทธ๋ ˆ์ด๋“œ

์žฌ์„ค์น˜ํ•  ๋•Œ๋งˆ๋‹ค CUDA ์„ค์น˜ ํด๋”์˜ ์˜ฌ๋ฐ”๋ฅธ ์œ„์น˜์— CUDNN ํŒŒ์ผ์„ ๋ณต์‚ฌํ•˜๋Š” ๊ฒƒ์„ ์žŠ์ง€ ๋งˆ์‹ญ์‹œ์˜ค.

๋‚˜๋Š” ๊ฐ™์€ ๋ฌธ์ œ๊ฐ€ ์žˆ์—ˆ๊ณ  ์•ฝ 3 ์‹œ๊ฐ„ ๋™์•ˆ ์ œ์•ˆ ๋œ ์ˆ˜์ • ์‚ฌํ•ญ์˜ ๋Œ€๋ถ€๋ถ„์„ ์šด์ด ์—†์—ˆ์Šต๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ƒ๋‹จ์—์„œ kennedyCzar์˜ ๊ฒŒ์‹œ๋ฌผ์„ ์ฐพ์•˜์Šต๋‹ˆ๋‹ค. ์ด ๋ฐฉ๋ฒ•์œผ๋กœ ๋‚ด ๋ฌธ์ œ๊ฐ€ ์ˆ˜์ •๋˜์—ˆ์Šต๋‹ˆ๋‹ค("ImportError: DLL ๋กœ๋“œ ์‹คํŒจ: ์ง€์ •๋œ ๋ชจ๋“ˆ์„ ์ฐพ์„ ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค.") ๋น ๋ฅด๊ณ  ์‰ฝ๊ธฐ ๋•Œ๋ฌธ์— ๋…์ž๋“ค์ด ์ด ์ ‘๊ทผ ๋ฐฉ์‹์„ ์‹œ๋„ํ•ด ๋ณผ ๊ฒƒ์„ ์ ๊ทน ๊ถŒ์žฅํ•ฉ๋‹ˆ๋‹ค. ๋‚˜๋Š” ํŠนํžˆ Donald Kinghorn ๋ฐ•์‚ฌ๊ฐ€ ์–ธ๊ธ‰ํ•œ ๋ธ”๋กœ๊ทธ ๊ฒŒ์‹œ๋ฌผ๋กœ ์ด๋™ํ•˜์—ฌ ์ง€์นจ์„ ๋”ฐ๋ž์Šต๋‹ˆ๋‹ค.

2018๋…„ 10์›” 16์ผ์˜ kennedyCzar ๊ฒŒ์‹œ๋ฌผ ์‚ฌ๋ณธ์€ ์•„๋ž˜๋ฅผ ์ฐธ์กฐํ•˜์‹ญ์‹œ์˜ค.

Windows 10์—์„œ tensorflow-gpu๋ฅผ ์‚ฌ์šฉํ•˜๋Š” ๋™์•ˆ ๋™์ผํ•œ ๋ฌธ์ œ๊ฐ€ ๋ฐœ์ƒํ–ˆ์Šต๋‹ˆ๋‹ค.
cuDNN10..์—์„œ ์ž‘๋™ํ•˜๋„๋ก ํ•  ์ˆ˜ ์—†์—ˆ๊ธฐ ๋•Œ๋ฌธ์— ๋Œ€์‹  9๋ฅผ ์„ ํƒํ–ˆ์Šต๋‹ˆ๋‹ค.

conda create --name tf-gpu
conda install -c aaronzs tensorflow-gpu
conda install -c ์•„๋‚˜์ฝ˜๋‹ค cudatoolkit
conda install -c ์•„๋‚˜์ฝ˜๋‹ค cudnn
์ฝ˜๋‹ค ์„ค์น˜ keras-gpu

https://www.pugetsystems.com/labs/hpc/The-Best-Way-to-Install-TensorFlow-with-GPU-Support-on-Windows-10-Without-Installing-CUDA ์—์„œ ์ „์ฒด ๊ฒŒ์‹œ๋ฌผ์„ ํ™•์ธํ•  ์ˆ˜๋„ ์žˆ์Šต๋‹ˆ๋‹ค.

Donald Kinghorn ๋ฐ•์‚ฌ์˜ ํฌ๋ ˆ๋”ง

tensorflow-gpu v1.12๋กœ CUDA 10์„ ์‹คํ–‰ํ–ˆ์Šต๋‹ˆ๋‹ค. ๋‚˜๋Š” ์ž‘์€ ๊ธ€์”จ๋ฅผ ์ฝ์ง€ ์•Š์•˜๊ธฐ ๋•Œ๋ฌธ์— ์ด ๋ฒ„์ „์ด CUDA 10์—์„œ ์ž‘๋™ํ•˜์ง€ ์•Š๋Š”๋‹ค๋Š” ๊ฒƒ์„ ๋†“์ณค์Šต๋‹ˆ๋‹ค. CUDA 9๋กœ ๋‹ค์šด๊ทธ๋ ˆ์ด๋“œํ•˜์—ฌ ์ง€๊ธˆ ์ž‘๋™ํ•ฉ๋‹ˆ๋‹ค.

๋‚˜๋Š” TensorFlow 1.12.0๊ณผ ๋™์ผํ•œ ๋ฌธ์ œ๊ฐ€ ์žˆ์—ˆ๊ณ  ์–ด๋–ค ์†”๋ฃจ์…˜๋„ ๋‚˜๋ฅผ ์œ„ํ•ด ์ผํ•˜์ง€ ์•Š์•˜์Šต๋‹ˆ๋‹ค. ๊ทธ๋Ÿฐ ๋‹ค์Œ TensorFlow 1.10.0์œผ๋กœ ๋‹ค์šด๊ทธ๋ ˆ์ด๋“œํ–ˆ๋Š”๋ฐ ์ด๋ฒˆ์—๋Š” ์˜ค๋ฅ˜ ๋ฉ”์‹œ์ง€๊ฐ€ ํ›จ์”ฌ ๋” ์œ ์ตํ–ˆ์Šต๋‹ˆ๋‹ค. C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0\bin ์— ์žˆ๋Š” cudart64_90.dll์„ ์ฐพ์„ ์ˆ˜ ์—†๋‹ค๊ณ  ํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด ํŠน์ • ๊ฒฝ๋กœ๋ฅผ PATH ๋ณ€์ˆ˜์— ์ถ”๊ฐ€ํ•˜๋ฉด ์˜ค๋ฅ˜ ์—†์ด ์›ํ™œํ•˜๊ฒŒ ์‹คํ–‰๋ฉ๋‹ˆ๋‹ค.

์ด๋กœ ์ธํ•ด TensorFlow์— ๋ฒ„๊ทธ๊ฐ€ ์žˆ์–ด์„œ C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0 ๊ฐ€ ์ด๋ฏธ CUDA ๋ฐ CUDA_HOME๊ณผ ๊ฐ™์€ ์ˆ˜๋งŽ์€ ํ™˜๊ฒฝ ๋ณ€์ˆ˜์— ์กด์žฌํ•˜๋Š” ๊ฒฝ์šฐ "bin" ํ•˜์œ„ ํด๋” ์ž์ฒด๋กœ ์ด๋™ํ•˜์ง€ ๋ชปํ•˜๋ฏ€๋กœ ๋‹ค์Œ์„ ์ˆ˜ํ–‰ํ•  ์ˆ˜ ์žˆ์–ด์•ผ ํ•ฉ๋‹ˆ๋‹ค. ๊ทธ๊ฒƒ์„ ์ฐพ์•„๋ผ.

๋‘ ๋ฒˆ์งธ๋กœ, TensorFlow 1.12.0์— ์ •๋ณด๋ฅผ ์ œ๊ณตํ•˜๋Š” ์˜ค๋ฅ˜ ๋ฉ”์‹œ์ง€๊ฐ€ ํ›จ์”ฌ ์ ์€ ์ด์œ ๊ฐ€ ๊ถ๊ธˆํ•ฉ๋‹ˆ๋‹ค. 1.12.0์—์„œ๋Š” ์ผ๋ถ€ DLL์„ ๊ฐ€์ ธ์˜ฌ ์ˆ˜ ์—†๋‹ค๊ณ  ๋งํ•ฉ๋‹ˆ๋‹ค. 1.10.0์—์„œ๋Š” ์ •ํ™•ํžˆ ์–ด๋–ค DLL์ด ๋ˆ„๋ฝ๋˜์—ˆ๋Š”์ง€ ๋ณด์—ฌ์ฃผ๊ณ  PATH์— ์ถ”๊ฐ€ํ•˜๋Š” ์ž‘์—… ์†”๋ฃจ์…˜์„ ์ œ์•ˆํ•˜๊ธฐ๋„ ํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด๊ฒƒ์€ ๋” ๋‚˜์€ ์˜ค๋ฅ˜ ์ฒ˜๋ฆฌ ๋ฐฉ๋ฒ•์ด๋ฉฐ ์˜ค๋ฅ˜ ๋ฉ”์‹œ์ง€๋ฅผ ๊ฐ€๋ฆฌ๋Š” ๊ฒƒ์ด ์ข‹์€ ์ƒ๊ฐ์ด๋ผ๊ณ  ์ƒ๊ฐํ•œ ์‚ฌ๋žŒ์˜ ์ปค๋ฐ‹์„ ๋‹ค์‹œ ๋ฐฉ๋ฌธํ•˜๋Š” ๊ฒƒ์ด ์ข‹์Šต๋‹ˆ๋‹ค.

์†”๋ฃจ์…˜ ! CUDA 10์œผ๋กœ TF๋ฅผ ์‹คํ–‰ํ•˜๋ ค๋Š” ๊ฒฝ์šฐ

Tensorflow 1.12๋Š” CUDA 10์„ ์ง€์›ํ•˜์ง€ ์•Š์ง€๋งŒ ์•ผ๊ฐ„ ๋นŒ๋“œ๋Š” ์ง€์›ํ•ฉ๋‹ˆ๋‹ค.

2๊ฐ€์ง€ ์†”๋ฃจ์…˜์ด ์žˆ์Šต๋‹ˆ๋‹ค

  1. TF 1.12 ์ œ๊ฑฐ ๋ฐ ์•ผ๊ฐ„ ๋นŒ๋“œ 1.13 ์„ค์น˜
    pip ์ œ๊ฑฐ tensorflow-gpu
    pip ์„ค์น˜ tf-nightly-gpu

๋Œ€์ฒด ์†”๋ฃจ์…˜: CUDA๋ฅผ 9.0์œผ๋กœ ๋‹ค์šด๊ทธ๋ ˆ์ด๋“œ

์žฌ์„ค์น˜ํ•  ๋•Œ๋งˆ๋‹ค CUDA ์„ค์น˜ ํด๋”์˜ ์˜ฌ๋ฐ”๋ฅธ ์œ„์น˜์— CUDNN ํŒŒ์ผ์„ ๋ณต์‚ฌํ•˜๋Š” ๊ฒƒ์„ ์žŠ์ง€ ๋งˆ์‹ญ์‹œ์˜ค.

์ด ์†”๋ฃจ์…˜์„ ํ™•์ธ

tf-nightly-gpu ์‚ฌ์šฉ
์Šน10
์ฟ ๋‹ค 10.0
ํŒŒ์ด์ฌ 3.6.4
์ง€ํฌ์Šค 960M
cudnn64_7

๋งˆ์ง€๋ง‰์œผ๋กœ tensorflow 1.12.0 ๋ฐ cudnn 7.4.1.5์™€ ํ•จ๊ป˜ 9.2 ๋˜๋Š” 10.0 ๋Œ€์‹  cuda 9.0์„ ์„ค์น˜ํ•˜์—ฌ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•ฉ๋‹ˆ๋‹ค.

ํ•˜์ง€๋งŒ cudnn7.0.5 ๋Œ€์‹  cudnn7.4.1.5๋ฅผ ๋‹ค์šด๋กœ๋“œํ•˜๋ฉด ์—ฌ์ „ํžˆ ์ด ์˜ค๋ฅ˜๊ฐ€ ๋ฐœ์ƒํ•ฉ๋‹ˆ๋‹ค.
๋‚ด ๊ตฌ์„ฑ์€ ๋‹ค์Œ๊ณผ ๊ฐ™์Šต๋‹ˆ๋‹ค.
์ฟ ๋‹ค 9.0
cudnn7.4.1
pip ์„ค์น˜ tensorflow-gpu==1.12.0
ํŒŒ์ด์ฌ 3.6.4
์—”๋น„๋””์•„ ์ง€ํฌ์Šค 1080TI

๋งˆ์ง€๋ง‰์œผ๋กœ tensorflow 1.12.0 ๋ฐ cudnn 7.4.1.5์™€ ํ•จ๊ป˜ 9.2 ๋˜๋Š” 10.0 ๋Œ€์‹  cuda 9.0์„ ์„ค์น˜ํ•˜์—ฌ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•ฉ๋‹ˆ๋‹ค.

ํ•˜์ง€๋งŒ cudnn7.0.5 ๋Œ€์‹  cudnn7.4.1.5๋ฅผ ๋‹ค์šด๋กœ๋“œํ•˜๋ฉด ์—ฌ์ „ํžˆ ์ด ์˜ค๋ฅ˜๊ฐ€ ๋ฐœ์ƒํ•ฉ๋‹ˆ๋‹ค.
๋‚ด ๊ตฌ์„ฑ์€ ๋‹ค์Œ๊ณผ ๊ฐ™์Šต๋‹ˆ๋‹ค.
์ฟ ๋‹ค 9.0
cudnn7.4.1
pip ์„ค์น˜ tensorflow-gpu==1.12.0
ํŒŒ์ด์ฌ 3.6.4
์—”๋น„๋””์•„ ์ง€ํฌ์Šค 1080TI

๋งˆ์ง€๋ง‰์œผ๋กœ bazel ๋ฒ„์ „์„ 0.21.0์—์„œ 0.20.0์œผ๋กœ ๋‹ค์šด๊ทธ๋ ˆ์ด๋“œํ•˜๋ฉด ์ด ๋ฌธ์ œ๊ฐ€ ํ•ด๊ฒฐ๋ฉ๋‹ˆ๋‹ค. ํ•˜์ง€๋งŒ ์™œ ๋งˆ์ง€๋ง‰ bazel ๋ฒ„์ „๊ณผ ํ˜ธํ™˜๋˜์ง€ ์•Š๋Š”์ง€ ๋ชจ๋ฅด๊ฒ ์Šต๋‹ˆ๋‹ค.

์ฟ ๋‹ค 10.0
cudnn7.4.2
pip ์„ค์น˜ tf-nightly-gpu
ํŒŒ์ด์ฌ 3.6.4
์—”๋น„๋””์•„ ์ง€ํฌ์Šค 1070

ํšจ๊ณผ๊ฐ€์žˆ๋‹ค.

์ฟ ๋‹ค 10.0
cudnn7.4.2
pip ์„ค์น˜ tf-nightly-gpu
ํŒŒ์ด์ฌ 3.6.4
์—”๋น„๋””์•„ ์ง€ํฌ์Šค 1070

ํšจ๊ณผ๊ฐ€์žˆ๋‹ค.

๊ทธ๊ฒƒ์€ ์ง€๊ธˆ ์ €์—๊ฒŒ๋„ ํšจ๊ณผ๊ฐ€ ์žˆ์Šต๋‹ˆ๋‹ค. ๊ฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค.
์ฐธ๊ณ  ์‚ฌํ•ญ: TF๋ฅผ ์ œ๋Œ€๋กœ ์ œ๊ฑฐํ•  ์ˆ˜ ์—†์—ˆ๊ณ  Python ๋ฒ„์ „์ด ๋” ๋‚ฎ์•˜์Šต๋‹ˆ๋‹ค. Python์„ ์™„์ „ํžˆ ์ œ๊ฑฐํ•˜๊ณ  3.6.4 ๋Œ€์‹  ๋ฒ„์ „ 3.6.8์„ ์„ค์น˜ํ–ˆ์Šต๋‹ˆ๋‹ค.
๊ทธ๋Ÿฐ ๋‹ค์Œ pip install tf-nightly-gpu ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ TF๋ฅผ ์„ค์น˜ํ–ˆ์œผ๋ฉฐ ํ˜„์žฌ ์ž‘๋™ ์ค‘์ž…๋‹ˆ๋‹ค.

Microsoft Build Tools 2015๋ฅผ ์„ค์น˜ํ•˜๋ฉด ์ด ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๋Š” ๋ฐ ๋„์›€์ด ๋ฉ๋‹ˆ๋‹ค. ์ง€๊ธˆ ์ž‘๋™ํ•ฉ๋‹ˆ๋‹ค.

@damcclane ๋‹˜ ๊ณผ ๊ฐ™์€ ๋ฌธ์ œ๊ฐ€ ์žˆ์Šต๋‹ˆ๋‹ค. ์–ด๋–ป๊ฒŒ ํ•ด๊ฒฐํ•˜์…จ๋‚˜์š”?

Win10 x64, python 3.6, cuda9(cudnn 7.0.5 ํฌํ•จ) ๋ฐ Win10 x64, python 3.7, cuda10(cudnn 7.3.1 ํฌํ•จ)

๋‘˜ ๋‹ค ๊ฐ™์€ ๋ฌธ์ œ๊ฐ€ ์žˆ์Šต๋‹ˆ๋‹ค. ๋‚ด ๊ทธ๋ž˜ํ”ฝ ์นด๋“œ๋Š” Nvidia GeForce 1050 Ti์ž…๋‹ˆ๋‹ค.

tensorflow๋Š” python 3.7์„ ์ง€์›ํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค. anaconda๋ฅผ ํ†ตํ•ด ๋” ๋‚ฎ์€ python์œผ๋กœ ๋‹ค๋ฅธ ํ™˜๊ฒฝ์„ ๋งŒ๋“ค ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

๋‚˜๋Š” ๋˜‘๊ฐ™์€ ๋ฌธ์ œ๊ฐ€ ์žˆ์—ˆ๋‹ค. GPU ์ง€์› ๊ฐ€์ด๋“œ ์— ๋”ฐ๋ฅด๋ฉด CUDA ๋ฐ cuDNN์˜ ๋ชจ๋“  ์˜ฌ๋ฐ”๋ฅธ ๋ฒ„์ „(CUDA 9.0 ๋ฐ cuDNN 7.4.2.24)์ด ์„ค์น˜๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค.

๋‚˜๋ฅผ ์œ„ํ•ด ์ผํ•˜๊ฒŒ ๋œ ๊ฒƒ์€ ๋ชจ๋“  ์ข…์†์„ฑ์„ ์„ค์น˜ํ•œ ํ›„ ๋‹ค์Œ ๋ช…๋ น์„ ์ž…๋ ฅํ•˜๋Š” ๊ฒƒ์ด์—ˆ์Šต๋‹ˆ๋‹ค.

SET PATH=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0\bin;%PATH%
SET PATH=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0\extras\CUPTI\libx64;%PATH%
SET PATH=C:\tools\cuda\bin;%PATH%

cuDNN zip์˜ cuda ํด๋”๋ฅผ C:\tools\ ๋ณต์‚ฌํ•ด์•ผ ํ•ฉ๋‹ˆ๋‹ค.

๋„์›€์ด ๋˜์—ˆ๊ธฐ๋ฅผ ๋ฐ”๋ž๋‹ˆ๋‹ค.

๋‚˜๋Š” ๋˜ํ•œ ๊ฐ™์€ ๋ฌธ์ œ๋ฅผ ๋ณธ๋‹ค

์•ˆ๋…•ํ•˜์„ธ์š” ์—ฌ๋Ÿฌ๋ถ„, ์ €๋Š” ์ด ๋ฌธ์ œ๋ฅผ ์ง€๊ธˆ ๋ช‡ ๋ฒˆ ๋ณด์•˜๊ณ  ๋ช‡ ๊ฐ€์ง€ ์‚ฌํ•ญ์— ๋Œ€ํ•ด ์–ธ๊ธ‰ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
๊ทธ ์ค‘ ์ฒซ ๋ฒˆ์งธ๋Š” Jupyter ๋…ธํŠธ๋ถ์ด ์ž˜๋ชป๋œ tensorflow ๊ตฌ์„ฑ(์ปค๋„์„ ์žฌ์„ค์ •ํ•œ ํ›„์—๋„)์„ ์ผ์ข…์˜ "๋ณด๋ฅ˜"ํ•  ์ˆ˜ ์žˆ๋‹ค๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค. Jupyter์˜ ์™„์ „ํ•œ ์ค‘์ง€ ๋ฐ ์‹œ์ž‘์€ ์ ์–ด๋„ ํ•œ ๋ฒˆ์€ ์ด ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ–ˆ์Šต๋‹ˆ๋‹ค.

๋‹ค๋ฅธ ๊ฒƒ๋“ค์€ ๋ชจ๋‘ CUDA์™€ ๊ด€๋ จ์ด ์žˆ์Šต๋‹ˆ๋‹ค. CUDA์˜ ๋ชจ๋“  ๋ฒ„์ „์„ ์ œ๊ฑฐํ•œ ๋‹ค์Œ V10์„ ์„ค์น˜ํ•˜๊ณ  ์˜ฌ๋ฐ”๋ฅธ cudnn๋„ ์–ป์„ ์ˆ˜ ์žˆ๋Š”์ง€ ํ™•์ธํ•˜๋Š” ๊ฒƒ์ด ์ข‹์Šต๋‹ˆ๋‹ค.

Cudnn์„ ์„ค์น˜ํ•˜๋ ค๋ฉด cuda ํด๋”์— ์žˆ๋Š” ๋ชจ๋“  ํ•ญ๋ชฉ์„ ๋ณต์‚ฌํ•˜์—ฌ cuda ์„ค์น˜์— ๋ถ™์—ฌ๋„ฃ๊ธฐ๋งŒ ํ•˜๋ฉด ๋ฉ๋‹ˆ๋‹ค.

์ด๊ฒƒ์€ ๊ธฐ๋ณธ์ ์œผ๋กœ ์ด ์˜ค๋ฅ˜์˜ ๋ชจ๋“  ๋ฌธ์ œ์ž…๋‹ˆ๋‹ค. nvcc --version ํ•˜๊ณ  v10์„ ๋ฐ˜ํ™˜ํ•˜๋Š”์ง€ ํ™•์ธํ•˜์—ฌ cuda๋ฅผ ํ…Œ์ŠคํŠธํ•  ์ˆ˜ ์žˆ์Œ์„ ๊ธฐ์–ตํ•˜์‹ญ์‹œ์˜ค. ์ด ๋ช…๋ น์ด ์ž‘๋™ํ•˜์ง€ ์•Š์œผ๋ฉด ์„ค์ •์—์„œ cuda๋ฅผ ์ œ๋Œ€๋กœ ๋ณผ ์ˆ˜ ์—†์Œ์„ ์˜๋ฏธํ•ฉ๋‹ˆ๋‹ค.

๋ฌธ์ œ๊ฐ€ ํ‘œ์‹œ๋˜๋ฉด ํด๋ผ์šฐ๋“œ์—์„œ tf-nightly๋ฅผ ์„ค์น˜ํ•ด ๋ณด์‹ญ์‹œ์˜ค. ์ด ๋ฐฉ๋ฒ•์œผ๋กœ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

### "ImportError: DLL ๋กœ๋“œ ์‹คํŒจ: ์ง€์ •๋œ ํ”„๋กœ์‹œ์ €๋ฅผ ์ฐพ์„ ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค."์— ๋Œ€ํ•œ ์†”๋ฃจ์…˜์ž…๋‹ˆ๋‹ค.

numpy๋ฅผ ๊ฐ€์ ธ์˜ฌ ๋•Œ์ด ์˜ค๋ฅ˜๊ฐ€ ๋ฐœ์ƒํ•ฉ๋‹ˆ๋‹ค. ๋งž์Šต๋‹ˆ๊นŒ?
python -c "import numpy"

๋”ฐ๋ผ์„œ Anaconda ํด๋”๋กœ ์ด๋™ํ•˜์—ฌ aconda ํ™˜๊ฒฝ์— ๋”ฐ๋ผ site-packages ํด๋”๋กœ ์ด๋™ํ•ฉ๋‹ˆ๋‹ค. ๊ทธ๋Ÿฐ ๋‹ค์Œ numpy.libs ํด๋”๋กœ ์ด๋™ํ•ฉ๋‹ˆ๋‹ค. *.dll ํŒŒ์ผ์ด ์žˆ์ฃ ?

์ด์ œ .libs ํด๋”์— ๋Œ€ํ•œ ๋งํฌ๋ฅผ ๋ณต์‚ฌํ•˜๊ณ  ์•„๋‚˜์ฝ˜๋‹ค ํ”„๋กฌํ”„ํŠธ์—์„œ "PATH"๋กœ ๊ฒฝ๋กœ๋ฅผ ์ž…๋ ฅํ•˜์‹ญ์‹œ์˜ค.
PATH=path\to\site-packages\numpy\.libs;%PATH%

์ด์ œ ๋‹ค์‹œ ํ™•์ธํ•˜์—ฌ numpy๋ฅผ ๊ฐ€์ ธ์˜ต๋‹ˆ๋‹ค.
python -c "import numpy"

์ด์ œ ์ œ๋Œ€๋กœ ์ž‘๋™ํ•ฉ๋‹ˆ๊นŒ?

์„ค์น˜:

(base) C:\Users\omarc>pip install tensorflow-gpu
Collecting tensorflow-gpu
  Downloading https://files.pythonhosted.org/packages/1f/31/62178ec117dc0318bde6e3b4f2a066a2ea637cc806ff53cb26e36974280a/tensorflow_gpu-1.13.0rc2-cp37-cp37m-win_amd64.whl (259.8MB)
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Collecting keras-applications>=1.0.6 (from tensorflow-gpu)
  Downloading https://files.pythonhosted.org/packages/90/85/64c82949765cfb246bbdaf5aca2d55f400f792655927a017710a78445def/Keras_Applications-1.0.7-py2.py3-none-any.whl (51kB)
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Requirement already satisfied: six>=1.10.0 in c:\programdata\anaconda3\lib\site-packages (from tensorflow-gpu) (1.12.0)
Collecting absl-py>=0.1.6 (from tensorflow-gpu)
  Downloading https://files.pythonhosted.org/packages/31/bc/ab68120d1d89ae23b694a55fe2aece2f91194313b71f9b05a80b32d3c24b/absl-py-0.7.0.tar.gz (96kB)
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Collecting termcolor>=1.1.0 (from tensorflow-gpu)
  Downloading https://files.pythonhosted.org/packages/8a/48/a76be51647d0eb9f10e2a4511bf3ffb8cc1e6b14e9e4fab46173aa79f981/termcolor-1.1.0.tar.gz
Requirement already satisfied: wheel>=0.26 in c:\programdata\anaconda3\lib\site-packages (from tensorflow-gpu) (0.32.3)
Collecting astor>=0.6.0 (from tensorflow-gpu)
  Downloading https://files.pythonhosted.org/packages/35/6b/11530768cac581a12952a2aad00e1526b89d242d0b9f59534ef6e6a1752f/astor-0.7.1-py2.py3-none-any.whl
Collecting keras-preprocessing>=1.0.5 (from tensorflow-gpu)
  Downloading https://files.pythonhosted.org/packages/c0/bf/0315ef6a9fd3fc2346e85b0ff1f5f83ca17073f2c31ac719ab2e4da0d4a3/Keras_Preprocessing-1.0.9-py2.py3-none-any.whl (59kB)
    100% |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 61kB 7.7MB/s
Collecting gast>=0.2.0 (from tensorflow-gpu)
  Downloading https://files.pythonhosted.org/packages/4e/35/11749bf99b2d4e3cceb4d55ca22590b0d7c2c62b9de38ac4a4a7f4687421/gast-0.2.2.tar.gz
Requirement already satisfied: numpy>=1.13.3 in c:\programdata\anaconda3\lib\site-packages (from tensorflow-gpu) (1.15.4)
Collecting tensorboard<1.13.0,>=1.12.0 (from tensorflow-gpu)
  Downloading https://files.pythonhosted.org/packages/07/53/8d32ce9471c18f8d99028b7cef2e5b39ea8765bd7ef250ca05b490880971/tensorboard-1.12.2-py3-none-any.whl (3.0MB)
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Collecting protobuf>=3.6.1 (from tensorflow-gpu)
  Downloading https://files.pythonhosted.org/packages/77/78/a7f1ce761e2c738e209857175cd4f90a8562d1bde32868a8cd5290d58926/protobuf-3.6.1-py2.py3-none-any.whl (390kB)
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Collecting tensorflow-estimator<1.14.0rc0,>=1.13.0rc0 (from tensorflow-gpu)
  Downloading https://files.pythonhosted.org/packages/67/c1/3e8f58945f55769274e490d85df3bc4639ac258c60c6e3c6c7973d2a9e81/tensorflow_estimator-1.13.0rc0-py2.py3-none-any.whl (367kB)
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Collecting grpcio>=1.8.6 (from tensorflow-gpu)
  Downloading https://files.pythonhosted.org/packages/17/80/b135a60dfb12e9e0d691e4e66020b6f90fd8864e17ed5c719881bdea7d41/grpcio-1.18.0-cp37-cp37m-win_amd64.whl (1.5MB)
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Requirement already satisfied: h5py in c:\programdata\anaconda3\lib\site-packages (from keras-applications>=1.0.6->tensorflow-gpu) (2.8.0)
Requirement already satisfied: werkzeug>=0.11.10 in c:\programdata\anaconda3\lib\site-packages (from tensorboard<1.13.0,>=1.12.0->tensorflow-gpu) (0.14.1)
Collecting markdown>=2.6.8 (from tensorboard<1.13.0,>=1.12.0->tensorflow-gpu)
  Downloading https://files.pythonhosted.org/packages/7a/6b/5600647404ba15545ec37d2f7f58844d690baf2f81f3a60b862e48f29287/Markdown-3.0.1-py2.py3-none-any.whl (89kB)
    100% |โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 92kB 8.4MB/s
Requirement already satisfied: setuptools in c:\programdata\anaconda3\lib\site-packages (from protobuf>=3.6.1->tensorflow-gpu) (40.6.3)
Collecting mock>=2.0.0 (from tensorflow-estimator<1.14.0rc0,>=1.13.0rc0->tensorflow-gpu)
  Downloading https://files.pythonhosted.org/packages/e6/35/f187bdf23be87092bd0f1200d43d23076cee4d0dec109f195173fd3ebc79/mock-2.0.0-py2.py3-none-any.whl (56kB)
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Collecting pbr>=0.11 (from mock>=2.0.0->tensorflow-estimator<1.14.0rc0,>=1.13.0rc0->tensorflow-gpu)
  Downloading https://files.pythonhosted.org/packages/8c/7f/fed53b379500fd889707d1f6e61c2a35e12f2de87396894aff89b017d1d6/pbr-5.1.2-py2.py3-none-any.whl (107kB)
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Building wheels for collected packages: absl-py, termcolor, gast
  Running setup.py bdist_wheel for absl-py ... done
  Stored in directory: C:\Users\omarc\AppData\Local\pip\Cache\wheels\90\db\f8\2c3101f72ef1ad434e4662853174126ce30201a3e163dcbeca
  Running setup.py bdist_wheel for termcolor ... done
  Stored in directory: C:\Users\omarc\AppData\Local\pip\Cache\wheels\7c\06\54\bc84598ba1daf8f970247f550b175aaaee85f68b4b0c5ab2c6
  Running setup.py bdist_wheel for gast ... done
  Stored in directory: C:\Users\omarc\AppData\Local\pip\Cache\wheels\5c\2e\7e\a1d4d4fcebe6c381f378ce7743a3ced3699feb89bcfbdadadd
Successfully built absl-py termcolor gast
Installing collected packages: keras-applications, absl-py, termcolor, astor, keras-preprocessing, gast, grpcio, markdown, protobuf, tensorboard, pbr, mock, tensorflow-estimator, tensorflow-gpu
Successfully installed absl-py-0.7.0 astor-0.7.1 gast-0.2.2 grpcio-1.18.0 keras-applications-1.0.7 keras-preprocessing-1.0.9 markdown-3.0.1 mock-2.0.0 pbr-5.1.2 protobuf-3.6.1 tensorboard-1.12.2 tensorflow-estimator-1.13.0rc0 tensorflow-gpu-1.13.0rc2 termcolor-1.1.0

์ผ๋ถ€ ์ƒ˜ํ”Œ ์ฝ”๋“œ์˜ ์ถœ๋ ฅ:

C:\ProgramData\Anaconda3\python.exe "C:/Users/omarc/OneDrive - Massachusetts Institute of Technology/test_tensorflow/keras-master/examples/mnist_cnn.py"
Using TensorFlow backend.
Traceback (most recent call last):
  File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 58, in <module>
    from tensorflow.python.pywrap_tensorflow_internal import *
  File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 28, in <module>
    _pywrap_tensorflow_internal = swig_import_helper()
  File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 24, in swig_import_helper
    _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
  File "C:\ProgramData\Anaconda3\lib\imp.py", line 242, in load_module
    return load_dynamic(name, filename, file)
  File "C:\ProgramData\Anaconda3\lib\imp.py", line 342, in load_dynamic
    return _load(spec)
ImportError: DLL load failed: The specified module could not be found.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:/Users/omarc/OneDrive - Massachusetts Institute of Technology/test_tensorflow/keras-master/examples/mnist_cnn.py", line 9, in <module>
    import keras
  File "C:\ProgramData\Anaconda3\lib\site-packages\keras\__init__.py", line 3, in <module>
    from . import utils
  File "C:\ProgramData\Anaconda3\lib\site-packages\keras\utils\__init__.py", line 6, in <module>
    from . import conv_utils
  File "C:\ProgramData\Anaconda3\lib\site-packages\keras\utils\conv_utils.py", line 9, in <module>
    from .. import backend as K
  File "C:\ProgramData\Anaconda3\lib\site-packages\keras\backend\__init__.py", line 89, in <module>
    from .tensorflow_backend import *
  File "C:\ProgramData\Anaconda3\lib\site-packages\keras\backend\tensorflow_backend.py", line 5, in <module>
    import tensorflow as tf
  File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\__init__.py", line 24, in <module>
    from tensorflow.python import pywrap_tensorflow  # pylint: disable=unused-import
  File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\__init__.py", line 49, in <module>
    from tensorflow.python import pywrap_tensorflow
  File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 74, in <module>
    raise ImportError(msg)
ImportError: Traceback (most recent call last):
  File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 58, in <module>
    from tensorflow.python.pywrap_tensorflow_internal import *
  File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 28, in <module>
    _pywrap_tensorflow_internal = swig_import_helper()
  File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 24, in swig_import_helper
    _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
  File "C:\ProgramData\Anaconda3\lib\imp.py", line 242, in load_module
    return load_dynamic(name, filename, file)
  File "C:\ProgramData\Anaconda3\lib\imp.py", line 342, in load_dynamic
    return _load(spec)
ImportError: DLL load failed: The specified module could not be found.


Failed to load the native TensorFlow runtime.

See https://www.tensorflow.org/install/errors

for some common reasons and solutions.  Include the entire stack trace
above this error message when asking for help.

Process finished with exit code 1

pip ์„ค์น˜ tensorflow-gpu==1.10.0

tensorflow-gpu==1.10.0 ์š”๊ตฌ ์‚ฌํ•ญ์„ ์ถฉ์กฑํ•˜๋Š” ๋ฒ„์ „์„ ์ฐพ์„ ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค(๋ฒ„์ „: 1.13.0rc1, 1.13.0rc2).
tensorflow-gpu==1.10.0์— ๋Œ€ํ•ด ์ผ์น˜ํ•˜๋Š” ๋ถ„ํฌ๋ฅผ ์ฐพ์„ ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค.

pip ์„ค์น˜ tensorflow-gpu==1.10.0

tensorflow-gpu==1.10.0 ์š”๊ตฌ ์‚ฌํ•ญ์„ ์ถฉ์กฑํ•˜๋Š” ๋ฒ„์ „์„ ์ฐพ์„ ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค(๋ฒ„์ „: 1.13.0rc1, 1.13.0rc2).
tensorflow-gpu==1.10.0์— ๋Œ€ํ•ด ์ผ์น˜ํ•˜๋Š” ๋ถ„ํฌ๋ฅผ ์ฐพ์„ ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค.

์ด์ „ ๋ฒ„์ „์˜ tensorflow-gpu๋ฅผ ์–ป์„ ์ˆ˜ ์—†๋Š” ๊ฒฝ์šฐ CUDA 9.0 ๋ฐ tensorflow-gpu 1.13.0์„ ์‚ฌ์šฉํ•˜๋Š” ๋™์•ˆ ๋™์ผํ•œ dll ๋ฌธ์ œ๊ฐ€ ๋ฐœ์ƒํ–ˆ์Šต๋‹ˆ๋‹ค. 10.0์„ ์„ค์น˜ํ–ˆ๊ณ  ์ง€๊ธˆ๊นŒ์ง€ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•œ ๊ฒƒ ๊ฐ™์Šต๋‹ˆ๋‹ค. ์ด๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ 1.13.0์—๋Š” 9 ๋Œ€์‹  10์ด ํ•„์š”ํ•ฉ๋‹ˆ๋‹ค.

์ฟ ๋‹ค 10.0
cudnn7.4.2
pip ์„ค์น˜ tf-nightly-gpu
ํŒŒ์ด์ฌ 3.6.4
์—”๋น„๋””์•„ ์ง€ํฌ์Šค 1070

ํšจ๊ณผ๊ฐ€์žˆ๋‹ค.

์—ฌ๊ธฐ๋„ ๋งˆ์ฐฌ๊ฐ€์ง€
ํŒŒ์ด์ฌ 3.6.7
์ง€ํฌ์Šค 1060

numpy์— ๋ฌธ์ œ๊ฐ€ ์žˆ์œผ๋ฏ€๋กœ numpy 1.16์„ ์‚ฌ์šฉํ•ด์•ผ ํ•ฉ๋‹ˆ๋‹ค. Anaconda์˜ ๋ฒ„์ „์ด ์˜ค๋ž˜๋˜์—ˆ๊ธฐ ๋•Œ๋ฌธ์— pip์—์„œ ๋‹ค์‹œ ์„ค์น˜ํ•ด์•ผ ํ–ˆ์Šต๋‹ˆ๋‹ค.

๊ฐ™์€ ๋ฌธ์ œ๊ฐ€ ์žˆ์Šต๋‹ˆ๋‹ค. ๋น„ GPU ๋ฒ„์ „ TF๋ฅผ ์‚ฌ์šฉํ•˜๋ฏ€๋กœ cuda ๋˜๋Š” cudnn prblem์ด ์•„๋‹Œ ๊ฒƒ ๊ฐ™์Šต๋‹ˆ๋‹ค.
ํŒŒ์ด์ฌ 3.6.0
TF 1.12.0
numpy 1.16.1
ํ”„๋กœํ† ๋ฒ„ํ”„ 3.6.1

์•„๋งˆ๋„ ๋ฌธ์ œ์ธ protobuf 3.6์„ ์‚ฌ์šฉํ•˜์ง€ ๋งˆ์‹ญ์‹œ์˜ค. ๋‚˜๋Š” ๋‹น์‹ ์ด ์‚ฌ์šฉํ•  ์ˆ˜์žˆ๋Š” ์ตœ์‹  ๋ฒ„์ „์ด 3.3์ด๋ผ๊ณ  ์ƒ๊ฐํ•ฉ๋‹ˆ๋‹ค. github์œผ๋กœ ์ด๋™ํ•˜์—ฌ ์ด์ „ ๋ฒ„์ „์„ ์ฐพ์œผ์‹ญ์‹œ์˜ค.

protobuf 3.6.1์ด ํ•„์š”ํ•œ TF 1.12๋ฅผ ์‚ฌ์šฉํ•˜๋Š” ๊ฒƒ์„ ์‹คํ–‰ ์ค‘์ž…๋‹ˆ๋‹ค. ์Œ....

๋ฌธ์ œ๋Š” _๋ฒ„์ „ ํ˜ธํ™˜์„ฑ _์— ๊ด€ํ•œ _tensorflow_ , _python_ , _cudnn_ ๋ฐ _cuda_ ์˜ ํ˜ธํ™˜์„ฑ์— ๊ด€ํ•œ ์ด ํŽ˜์ด์ง€ ์—์„œ ์ฐพ์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ œ ์ปดํ“จํ„ฐ๋ฅผ ์˜ˆ๋กœ ๋“ค์–ด๋ณด๊ฒ ์Šต๋‹ˆ๋‹ค.

์‹œ์Šคํ…œ ์ •๋ณด:

OS ํ”Œ๋žซํผ ๋ฐ ๋ฐฐํฌ: Windows 10(์ค‘์š”ํ•˜๋‹ค๊ณ  ์ƒ๊ฐํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค.)
๋ชจ๋ฐ”์ผ ์žฅ์น˜: ์—†์Œ
TensorFlow ์„ค์น˜: pip install
TensorFlow ๋ฒ„์ „: 1.4.0 ( ์ค‘์š” )
Python ๋ฒ„์ „: 3.6 ( ์ค‘์š” )
Bazel ๋ฒ„์ „: ์„ค์น˜๋˜์ง€ ์•Š์Œ(์†Œ์Šค ์ฝ”๋“œ์—์„œ ์ปดํŒŒ์ผํ•˜์ง€ ์•Š์œผ๋ฏ€๋กœ ํ•„์š”ํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค.)
CUDA/cuDNN ๋ฒ„์ „: cuda_8.0.61_win10.exe, cudnn-8.0-windows10-x64-v6.0.zip ( ์ค‘์š” )
GPU ๋ชจ๋ธ : Geforce GTX ์‹œ๋ฆฌ์ฆˆ (์ค‘์š”ํ•˜๋‹ค๊ณ  ์ƒ๊ฐํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค.)

ํ•ด๊ฒฐ์ฑ…:

์œ„ ํŽ˜์ด์ง€ ์˜ ๋ฒ„์ „ ํ˜ธํ™˜์„ฑ ํ‘œ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•ฉ๋‹ˆ๋‹ค. ์ด ๋ผ์ธ

ํ…์„œํ”Œ๋กœ์šฐ_gpu-1.4.0 | 3.5-3.6 | MSVC 2015 ์—…๋ฐ์ดํŠธ 3 | Cmake v3.6.3 | 6 | 8
-- | -- | -- | -- | -- | --

_python3.6_ .7์„ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค(์‹ค์ œ๋กœ ๊ท€ํ•˜์˜ ๋ฒ„์ „์€ python3.6 ์‹œ๋ฆฌ์ฆˆ์— ์†ํ•ฉ๋‹ˆ๋‹ค. ๋‹ค๋ฅธ ์†Œํ”„ํŠธ์›จ์–ด์˜ ์ž˜๋ชป๋œ ๋ฒ„์ „์—์„œ python3.6.3์„ ์‹œ๋„ํ–ˆ๊ธฐ ๋•Œ๋ฌธ์— ๊ดœ์ฐฎ์Šต๋‹ˆ๋‹ค. "ImportError: DLL load failed blablablabalbla..."๋ผ๋Š” ๋™์ผํ•œ ์˜ค๋ฅ˜๊ฐ€ ์žˆ์Šต๋‹ˆ๋‹ค." .Hyperlink์˜ ์–‘์‹์— ๋”ฐ๋ฅด๋ฉด python3.5๋ฅผ ์‚ฌ์šฉํ•˜๋ฉด ๊ดœ์ฐฎ์„ ๊ฒƒ์ž…๋‹ˆ๋‹ค.)
_cuda8.0_ ๊ณผ _cudnnv6_ ์„ ์„ค์น˜ ํ–ˆ์Šต๋‹ˆ๋‹ค (์ด zip์˜ ์••์ถ•์„ ํ’€๋ฉด _cudnn64_6.dll_ ํŒŒ์ผ์ด ๋“ค์–ด ์žˆ์Šต๋‹ˆ๋‹ค. ๊ทธ๋ฆฌ๊ณ  ์˜ฌ๋ฐ”๋ฅธ ๊ฒฝ๋กœ์— cudnn64_6.dll์„ ๋„ฃ์–ด์•ผ ํ•ฉ๋‹ˆ๋‹ค) (๋งˆ์ง€๋ง‰ ์—ด์˜ ์ˆซ์ž 8 ์€ CUDA ๋ฒ„์ „ ๋ฒˆํ˜ธ์ž…๋‹ˆ๋‹ค. . ๋‹ค์„ฏ ๋ฒˆ์งธ ์—ด์˜ ์ˆซ์ž 6 ์€ cudnn ๋ฒ„์ „ ์ˆ˜)
๊ทธ๋ž˜์„œ, ๋‚˜๋Š” _pip install tensorflow-gpu==1.4.0_ ํ•˜๊ณ  tensorflow๋ฅผ tf ๋กœ

Python, CUDA ๋ฐ cudnn ๋ฒ„์ „์„ ์ˆ˜์ •ํ–ˆ์„ ๋•Œ ๋” ๋‚ฎ์€ ๋ฒ„์ „์˜ tensorflow๋ฅผ ์„ค์น˜ํ•˜๋ฉด ๋‹ค๋ฅธ ์˜ค๋ฅ˜์ธ cudnn64_*๊ฐ€ ๋ฐœ์ƒํ•˜๊ธฐ ๋•Œ๋ฌธ์— ์ด ๋ฌธ์ œ๋ฅผ ์ฐพ์•˜์Šต๋‹ˆ๋‹ค. DLL ํŒŒ์ผ์„ ์ฐพ์„ ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค.

๋‹ค์Œ ๋‹จ๊ณ„์—์„œ๋Š” cuDNN ์ข…์† ํ”„๋กœ๊ทธ๋žจ์„ ๋นŒ๋“œํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์„ค๋ช…ํ•ฉ๋‹ˆ๋‹ค. ๋‹ค์Œ ์„น์…˜์—์„œ:
CUDA ๋””๋ ‰ํ† ๋ฆฌ ๊ฒฝ๋กœ๋Š” C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0์œผ๋กœ ์ฐธ์กฐ๋ฉ๋‹ˆ๋‹ค.
cuDNN ๋””๋ ‰ํ† ๋ฆฌ ๊ฒฝ๋กœ๋Š”
๊ท€ํ•˜์˜cuDNN์„ ํฌํ•จํ•˜๋Š” ๋””๋ ‰ํ† ๋ฆฌ.
cuDNN ํŒจํ‚ค์ง€์˜ ์••์ถ•์„ ํ’‰๋‹ˆ๋‹ค.
cudnn-9.0-windows7-x64-v7.zip
๋˜๋Š”
cudnn-9.0-windows10-x64-v7.zip
๋‹ค์Œ ํŒŒ์ผ์„ CUDA Toolkit ๋””๋ ‰ํ† ๋ฆฌ์— ๋ณต์‚ฌํ•˜์‹ญ์‹œ์˜ค.
๋ณต์‚ฌcuda\bin\cudnn64_7.dll์„ C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0\bin์œผ๋กœ ์ด๋™ํ•ฉ๋‹ˆ๋‹ค.
๋ณต์‚ฌcuda\include\cudnn.h์—์„œ C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0\include๋กœ ์ด๋™ํ•ฉ๋‹ˆ๋‹ค.
๋ณต์‚ฌcuda\lib\x64\cudnn.lib๋ฅผ C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0\lib\x64๋กœ ๋ณต์‚ฌํ•ฉ๋‹ˆ๋‹ค.

cudnn ๋ฌธ์„œ๋Š” ์˜ฌ๋ฐ”๋ฅธ cudnn ์„ค์ • ๋ฐฉ๋ฒ•์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ์ด ํŒŒ์ผ์„ ์ง€์ •๋œ ์œ„์น˜์— ๋„ฃ์œผ๋ฉด ์ž‘๋™ํ•ฉ๋‹ˆ๋‹ค.
์ „์ฒด ๋ฌธ์„œ๋Š” https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html ์—์„œ ์ฐพ์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

์ด๊ฒƒ์€ ๋‚˜๋ฅผ ์œ„ํ•ด ์ผํ–ˆ์Šต๋‹ˆ๋‹ค.
์œˆ๋„์šฐ 10
ํŒŒ์ด์ฌ 3.6.X(3.7์—์„œ ๋‹ค์šด๊ทธ๋ ˆ์ด๋“œ)
Tensorflow 1.12(1.13.1์—์„œ ํ™•์‹คํžˆ ์ž‘๋™ํ•˜์ง€ ์•Š์Œ, ๋‹ค์šด๊ทธ๋ ˆ์ด๋“œ๋จ)
CUDA/cudnn 9.0( @mxl1990 ์˜ ๋‹จ๊ณ„๋ฅผ ๋”ฐ๋ผ ํ•ด๋‹น ํŒŒ์ผ์„ ๋ณต์‚ฌํ•ด์•ผ ํ•จ)

์œ„์˜ ๋ชจ๋“  ๊ฒƒ์— ๊ฐ์‚ฌ๋“œ๋ฆฝ๋‹ˆ๋‹ค. ๋‚˜๋Š” ๊ณง ๋‹ค์‹œ ์‹œ๋„ํ•  ๊ฒƒ์ด๋‹ค

๋‚˜๋Š” ์ €์ž์™€ ๊ฐ™์€ ์งˆ๋ฌธ์„ ๊ฐ€์ง€๊ณ  ์žˆ์œผ๋ฉฐ, ์ง€๊ธˆ ๊ทธ๊ฒƒ์„ ํ•ด๊ฒฐํ•ฉ๋‹ˆ๋‹ค.
์ฐฝ 10
ํŒŒ์ด์ฌ 3.6.2
GPU rtx2080
๋‚ด ๋ฌธ์ œ๋Š” CUDA ๋ฒ„์ „๊ณผ cudnn์ด ์„œ๋กœ ๋งž์ง€ ์•Š๋Š”๋‹ค๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค.
2019/3/3 ์˜ค๋Š˜ CUDA์˜ ์ตœ์‹  ๋ฒ„์ „์€ 10.1์ด์ง€๋งŒ ํ•ด๋‹น ๋ฒ„์ „์˜ cudnn์ด ์—†์Šต๋‹ˆ๋‹ค.
๊ทธ๋ž˜์„œ CUDA 10.0์„ ๋ณ€๊ฒฝํ•˜๊ณ  tensorflow๋ฅผ ๋‹ค์‹œ ์„ค์น˜ํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด์ œ ์ž‘๋™ํ•ฉ๋‹ˆ๋‹ค!

๊ฐ™์€ ๋ฌธ์ œ๊ฐ€ ๋ฐœ์ƒํ–ˆ์Šต๋‹ˆ๋‹ค.

๋‹น์‹ ์ด ์•„๋‚˜์ฝ˜๋‹ค (ํŒŒ์ด์ฌ 3.6)๋ฅผ ์‚ฌ์šฉํ•˜๋Š” ๊ฒฝ์šฐ, ๋งค์šฐ ์‚ฌ์šฉํ•˜๋Š” ๊ฒƒ์ด ์ข‹์Šต๋‹ˆ๋‹ค conda ๋Œ€์‹  pip . ์ผ๋ฐ˜์ ์œผ๋กœ ๋ชจ๋“  ๊ฒƒ์„ ์ฒ˜๋ฆฌํ•ฉ๋‹ˆ๋‹ค. conda install tensorflow-gpu

(base) C:\Users>conda install tensorflow-gpu
Solving environment: done

## Package Plan ##

  environment location: D:\Software\Anaconda3

  added / updated specs:
    - tensorflow-gpu


The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    cudnn-7.3.1                |        cuda9.0_0       170.9 MB
    grpcio-1.12.1              |   py36h1a1b453_0         1.4 MB
    tensorflow-base-1.12.0     |gpu_py36h6e53903_0       180.8 MB
    conda-4.6.7                |           py36_0         1.7 MB
    tensorflow-1.12.0          |gpu_py36ha5f9131_0           4 KB
    keras-preprocessing-1.0.5  |           py36_0          52 KB
    gast-0.2.2                 |           py36_0         138 KB
    keras-applications-1.0.6   |           py36_0          49 KB
    tensorboard-1.12.0         |   py36he025d50_0         3.1 MB
    termcolor-1.1.0            |           py36_1           8 KB
    absl-py-0.7.0              |           py36_0         157 KB
    protobuf-3.6.0             |   py36he025d50_0         517 KB
    cudatoolkit-9.0            |                1       339.8 MB
    tensorflow-gpu-1.12.0      |       h0d30ee6_0           3 KB
    markdown-3.0.1             |           py36_0         125 KB
    _tflow_select-2.1.0        |              gpu           3 KB
    libprotobuf-3.6.0          |       h1a1b453_0         2.0 MB
    astor-0.7.1                |           py36_0          44 KB
    ------------------------------------------------------------
                                           Total:       700.7 MB

์ด๋ฏธ ๋ฒ„์ „์„ ์—‰๋ง์œผ๋กœ ๋งŒ๋“ค์—ˆ๋‹ค๋ฉด tensorflow-gpu ๋ฐ tensorflow ํฌํ•จํ•œ ํŒจํ‚ค์ง€๋ฅผ ์‚ญ์ œํ•˜๊ธฐ ์œ„ํ•ด conda remove ๋˜๋Š” pip uninstall ๋ฅผ ์‚ฌ์šฉํ•ด ๋ณด์‹ญ์‹œ์˜ค. ๋˜๋Š” Anaconda๋ฅผ ์ œ๊ฑฐํ•˜๊ณ  ๋‹ค์‹œ ์„ค์น˜ํ•˜์‹ญ์‹œ์˜ค.

๋‚˜๋Š” ์ €์ž์™€ ๊ฐ™์€ ์งˆ๋ฌธ์„ ๊ฐ€์ง€๊ณ  ์žˆ์œผ๋ฉฐ, ์ง€๊ธˆ ๊ทธ๊ฒƒ์„ ํ•ด๊ฒฐํ•ฉ๋‹ˆ๋‹ค.
์ฐฝ 10
ํŒŒ์ด์ฌ 3.6.2
GPU rtx2080
๋‚ด ๋ฌธ์ œ๋Š” CUDA ๋ฒ„์ „๊ณผ cudnn์ด ์„œ๋กœ ๋งž์ง€ ์•Š๋Š”๋‹ค๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค.
2019/3/3 ์˜ค๋Š˜ CUDA์˜ ์ตœ์‹  ๋ฒ„์ „์€ 10.1์ด์ง€๋งŒ ํ•ด๋‹น ๋ฒ„์ „์˜ cudnn์ด ์—†์Šต๋‹ˆ๋‹ค.
๊ทธ๋ž˜์„œ CUDA 10.0์„ ๋ณ€๊ฒฝํ•˜๊ณ  tensorflow๋ฅผ ๋‹ค์‹œ ์„ค์น˜ํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด์ œ ์ž‘๋™ํ•ฉ๋‹ˆ๋‹ค!

@parkerdu ๊ตฌ์„ธ์ฃผ! ๋‚ด ์‹œ์Šคํ…œ์€ Windows 10์—์„œ Python 3.7.1์„ ์‹คํ–‰ํ•˜๊ณ  GPU๋Š” RTX 2080 Ti์ž…๋‹ˆ๋‹ค. ๋‚ด๊ฐ€ ํ•œ ์ผ์€ CUDA๋ฅผ 10.1์—์„œ 10.0์œผ๋กœ ๋‹ค์šด๊ทธ๋ ˆ์ด๋“œํ•˜๋Š” ๊ฒƒ๋ฟ์ด์—ˆ๊ณ  ์ด์ œ ์ž‘๋™ํ•ฉ๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๋‚˜๋Š” ๋‹น์‹ ์ด ์˜๋ฏธํ•˜๋Š” ๋ฐ”๊ฐ€ ์•ฝ๊ฐ„ ํ˜ผ๋ž€ ์Šค๋Ÿฝ์Šต๋‹ˆ๋‹ค.

์ตœ์‹  ๋ฒ„์ „์˜ CUDA๋Š” 10.1์ด์ง€๋งŒ ํ•ด๋‹น ๋ฒ„์ „์˜ cudnn์ด ์—†์Šต๋‹ˆ๋‹ค.

https://developer.nvidia.com/rdp/cudnn-download ์— ๋”ฐ๋ฅด๋ฉด 2019๋…„ 2์›” 25์ผ์— ๋ฆด๋ฆฌ์Šค๋œ cuDNN ๋ฒ„์ „์ด ์žˆ๊ธฐ ๋•Œ๋ฌธ์ž…๋‹ˆ๋‹ค. ์ œ ๊ฒฝ์šฐ์—๋Š” "pip install tensorflow-gpu"๋ฅผ ํ†ตํ•ด ์„ค์น˜๋œ ์ตœ์‹  ๋ฒ„์ „์˜ TensorFlow์—์„œ๋Š” ์ž‘๋™ํ•˜์ง€ ์•Š์ง€๋งŒ ์žˆ์Šต๋‹ˆ๋‹ค. ์™œ ์•ˆ๋˜๋Š”์ง€ ๊ถ๊ธˆํ•ฉ๋‹ˆ๋‹ค

ํ•ด๋‹น ๋ฒ„์ „์˜ cudnn.

๋‹ค์‹œ ํ•œ ๋ฒˆ ์†”๋ฃจ์…˜์— ๊ฐ์‚ฌ๋“œ๋ฆฝ๋‹ˆ๋‹ค.

๋‚˜๋Š” ์ €์ž์™€ ๊ฐ™์€ ์งˆ๋ฌธ์„ ๊ฐ€์ง€๊ณ  ์žˆ์œผ๋ฉฐ, ์ง€๊ธˆ ๊ทธ๊ฒƒ์„ ํ•ด๊ฒฐํ•ฉ๋‹ˆ๋‹ค.
์ฐฝ 10
ํŒŒ์ด์ฌ 3.6.2
GPU rtx2080
๋‚ด ๋ฌธ์ œ๋Š” CUDA ๋ฒ„์ „๊ณผ cudnn์ด ์„œ๋กœ ๋งž์ง€ ์•Š๋Š”๋‹ค๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค.
2019/3/3 ์˜ค๋Š˜ CUDA์˜ ์ตœ์‹  ๋ฒ„์ „์€ 10.1์ด์ง€๋งŒ ํ•ด๋‹น ๋ฒ„์ „์˜ cudnn์ด ์—†์Šต๋‹ˆ๋‹ค.
๊ทธ๋ž˜์„œ CUDA 10.0์„ ๋ณ€๊ฒฝํ•˜๊ณ  tensorflow๋ฅผ ๋‹ค์‹œ ์„ค์น˜ํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด์ œ ์ž‘๋™ํ•ฉ๋‹ˆ๋‹ค!

@parkerdu ๊ตฌ์„ธ์ฃผ! ๋‚ด ์‹œ์Šคํ…œ์€ Windows 10์—์„œ Python 3.7.1์„ ์‹คํ–‰ํ•˜๊ณ  GPU๋Š” RTX 2080 Ti์ž…๋‹ˆ๋‹ค. ๋‚ด๊ฐ€ ํ•œ ์ผ์€ CUDA๋ฅผ 10.1์—์„œ 10.0์œผ๋กœ ๋‹ค์šด๊ทธ๋ ˆ์ด๋“œํ•˜๋Š” ๊ฒƒ๋ฟ์ด์—ˆ๊ณ  ์ด์ œ ์ž‘๋™ํ•ฉ๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๋‚˜๋Š” ๋‹น์‹ ์ด ์˜๋ฏธํ•˜๋Š” ๋ฐ”๊ฐ€ ์•ฝ๊ฐ„ ํ˜ผ๋ž€ ์Šค๋Ÿฝ์Šต๋‹ˆ๋‹ค.

์ตœ์‹  ๋ฒ„์ „์˜ CUDA๋Š” 10.1์ด์ง€๋งŒ ํ•ด๋‹น ๋ฒ„์ „์˜ cudnn์ด ์—†์Šต๋‹ˆ๋‹ค.

https://developer.nvidia.com/rdp/cudnn-download ์— ๋”ฐ๋ฅด๋ฉด 2019๋…„ 2์›” 25์ผ์— ๋ฆด๋ฆฌ์Šค๋œ cuDNN ๋ฒ„์ „์ด ์žˆ๊ธฐ ๋•Œ๋ฌธ์ž…๋‹ˆ๋‹ค. ์ œ ๊ฒฝ์šฐ์—๋Š” "pip install tensorflow-gpu"๋ฅผ ํ†ตํ•ด ์„ค์น˜๋œ ์ตœ์‹  ๋ฒ„์ „์˜ TensorFlow์—์„œ๋Š” ์ž‘๋™ํ•˜์ง€ ์•Š์ง€๋งŒ ์žˆ์Šต๋‹ˆ๋‹ค. ์™œ ์•ˆ๋˜๋Š”์ง€ ๊ถ๊ธˆํ•ฉ๋‹ˆ๋‹ค

ํ•ด๋‹น ๋ฒ„์ „์˜ cudnn.

๋‹ค์‹œ ํ•œ ๋ฒˆ ์†”๋ฃจ์…˜์— ๊ฐ์‚ฌ๋“œ๋ฆฝ๋‹ˆ๋‹ค.

๋‹น์‹ ์ด ์˜ณ์Šต๋‹ˆ๋‹ค! ์ตœ์‹  ๋ฒ„์ „์˜ cudnn์„ ๋ณด์ง€ ๋ชปํ–ˆ์Šต๋‹ˆ๋‹ค. ์ง€์ ํ•ด ์ฃผ์…”์„œ ๊ฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค.

๋ช‡ ์‹œ๊ฐ„ ๋™์•ˆ ๋‹ค๋ฅธ ๋ฒ„์ „์„ ์„ค์น˜ํ•œ ํ›„ ๋งˆ์นจ๋‚ด ์ž‘๋™ํ•˜๊ฒŒ ๋งŒ๋“ค์—ˆ์Šต๋‹ˆ๋‹ค. ์ด๊ฒƒ์ด ์ €์˜ ์ตœ์ข… ์„ค์ •์ž…๋‹ˆ๋‹ค.

  • ํŒŒ์ด์ฌ 3.6.8
  • ํ…์„œํ”Œ๋กœ 1.13
  • ์ฟ ๋‹ค 10
  • cuDNN v7.5.0(2019๋…„ 2์›” 21์ผ), CUDA 10.0์šฉ

CUDA 10.1๋กœ ์‹œ๋„ํ–ˆ์ง€๋งŒ ์ž‘๋™ํ•˜์ง€ ์•Š๊ณ  10.0์œผ๋กœ ์ „ํ™˜ํ–ˆ๊ณ  ๋งˆ์นจ๋‚ด ์ž‘๋™ํ–ˆ์Šต๋‹ˆ๋‹ค.

ํŒŒ์ด์ฌ 3.7.2
ํ…์„œํ”Œ๋กœ์šฐ GPU 2.0.0a0
ํ…์„œ๋ณด๋“œ 1.13.0
ํ…์„œํ”Œ๋กœ์šฐ ์ถ”์ •๊ธฐ 1.13.0
์ฟ ๋‹ค 10.1
CUDA10.0์šฉ cuDNN v7.5.0
win10 x64
๋„์™€์ฃผ์„ธ์š”

@steven12138 ์ด์ „ ๊ฒŒ์‹œ๋ฌผ์„ ํŒ”๋กœ์šฐํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
AFAIK, ํŒŒ์ด์ฌ 3.7.X ํŒŒ์ด์ฌ์€ ์ง€์›๋˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค.

์ด๊ฒƒ์ด Windows 10 ๋ฐ GPU NVIDIA GeForce RTX 2080 Ti์—์„œ ์ €์—๊ฒŒ ํšจ๊ณผ๊ฐ€ ์žˆ์—ˆ๋˜ ๊ฒƒ์ž…๋‹ˆ๋‹ค.
Python 3.5(3.6์€ ์ž‘๋™ํ•˜์ง€ ์•Š์Œ)
Tensorflow-gpu 1.13(๋˜๋Š” tf-nightly-gpu)
์ฟ ๋‹ค 10
CUDA 10.0์šฉ cuDNN
๋ฌธ์ œ๋Š” python 3.6์„ ์‚ฌ์šฉํ•˜๊ธฐ ๋•Œ๋ฌธ์ด์—ˆ์Šต๋‹ˆ๋‹ค. Python 3.5๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ํ•ด๊ฒฐํ–ˆ์Šต๋‹ˆ๋‹ค.

์ฟ ๋‹ค 9.0
์ปค๋“œ 7.0.5
์œˆ๋„์šฐ 10
TF 1.12.0
์‹คํŒจํ–ˆ์Šต๋‹ˆ๋‹ค...๋ชจ๋ฅด๊ฒ ์Šต๋‹ˆ๋‹ค


ํ•ด๊ฒฐ,
ํ•œ ๊ฐ€์ง€ ๋ฌธ์ œ๋Š” PATH๊ฐ€ ์˜ฌ๋ฐ”๋ฅด์ง€ ์•Š๋‹ค๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค. ์ˆ˜์ •ํ–ˆ์ง€๋งŒ ๋ฌธ์ œ๋Š” ์—ฌ์ „ํžˆ ์กด์žฌํ•ฉ๋‹ˆ๋‹ค.
๊ทธ๋Ÿฐ ๋‹ค์Œ tf๋ฅผ 1.10.0์œผ๋กœ ๋‹ค์šด๊ทธ๋ ˆ์ด๋“œํ•˜๋ฉด ์ž‘๋™ํ•ฉ๋‹ˆ๋‹ค.

๊ฐ™์€ ๋ฌธ์ œ๊ฐ€ ๋ฐœ์ƒํ–ˆ์Šต๋‹ˆ๋‹ค.

๋‹น์‹ ์ด ์•„๋‚˜์ฝ˜๋‹ค (ํŒŒ์ด์ฌ 3.6)๋ฅผ ์‚ฌ์šฉํ•˜๋Š” ๊ฒฝ์šฐ, ๋งค์šฐ ์‚ฌ์šฉํ•˜๋Š” ๊ฒƒ์ด ์ข‹์Šต๋‹ˆ๋‹ค conda ๋Œ€์‹  pip . ์ผ๋ฐ˜์ ์œผ๋กœ ๋ชจ๋“  ๊ฒƒ์„ ์ฒ˜๋ฆฌํ•ฉ๋‹ˆ๋‹ค. conda install tensorflow-gpu

(base) C:\Users>conda install tensorflow-gpu
Solving environment: done

## Package Plan ##

  environment location: D:\Software\Anaconda3

  added / updated specs:
    - tensorflow-gpu


The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    cudnn-7.3.1                |        cuda9.0_0       170.9 MB
    grpcio-1.12.1              |   py36h1a1b453_0         1.4 MB
    tensorflow-base-1.12.0     |gpu_py36h6e53903_0       180.8 MB
    conda-4.6.7                |           py36_0         1.7 MB
    tensorflow-1.12.0          |gpu_py36ha5f9131_0           4 KB
    keras-preprocessing-1.0.5  |           py36_0          52 KB
    gast-0.2.2                 |           py36_0         138 KB
    keras-applications-1.0.6   |           py36_0          49 KB
    tensorboard-1.12.0         |   py36he025d50_0         3.1 MB
    termcolor-1.1.0            |           py36_1           8 KB
    absl-py-0.7.0              |           py36_0         157 KB
    protobuf-3.6.0             |   py36he025d50_0         517 KB
    cudatoolkit-9.0            |                1       339.8 MB
    tensorflow-gpu-1.12.0      |       h0d30ee6_0           3 KB
    markdown-3.0.1             |           py36_0         125 KB
    _tflow_select-2.1.0        |              gpu           3 KB
    libprotobuf-3.6.0          |       h1a1b453_0         2.0 MB
    astor-0.7.1                |           py36_0          44 KB
    ------------------------------------------------------------
                                           Total:       700.7 MB

์ด๋ฏธ ๋ฒ„์ „์„ ์—‰๋ง์œผ๋กœ ๋งŒ๋“ค์—ˆ๋‹ค๋ฉด tensorflow-gpu ๋ฐ tensorflow ํฌํ•จํ•œ ํŒจํ‚ค์ง€๋ฅผ ์‚ญ์ œํ•˜๊ธฐ ์œ„ํ•ด conda remove ๋˜๋Š” pip uninstall ๋ฅผ ์‚ฌ์šฉํ•ด ๋ณด์‹ญ์‹œ์˜ค. ๋˜๋Š” Anaconda๋ฅผ ์ œ๊ฑฐํ•˜๊ณ  ๋‹ค์‹œ ์„ค์น˜ํ•˜์‹ญ์‹œ์˜ค.

์ด ์‚ฌ๋žŒ์€ ํ•˜๋ฃจ๋ฅผ ๊ตฌํ–ˆ์Šต๋‹ˆ๋‹ค, ๊ฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค

python 3.6.8๊ณผ ํ•จ๊ป˜ virtualenv๋ฅผ ์‚ฌ์šฉํ•˜๊ณ  ๊ทธ๋ƒฅ ์‹คํ–‰ํ•ฉ๋‹ˆ๋‹ค.
pip install tensorflow-gpu

์ฟ ๋‹ค 9.0
cuda 9.0์šฉ cudnn 7.4.1
ํŒŒ์ด์ฌ 3.6.8
ํ…์„œํ”Œ๋กœ 1.12.0
๋น„์ฃผ์–ผ C++ 2015 ์žฌ๋ฐฐํฌ

์ด ๊ตฌ์„ฑ์ด ์ž‘๋™ํ•ฉ๋‹ˆ๋‹ค.
์ฃผ์˜, tensorflow 1.13์€ ์ด ๊ตฌ์„ฑ์—์„œ ์ž‘๋™ํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค.

===========================ํŽธ์ง‘================
๋‚ด๊ฐ€ ๋‹ค์‹œ ์‹œ๋„ํ•œ ๊ฒƒ์ฒ˜๋Ÿผ.
tensorflow 1.13.1์„ ์‚ฌ์šฉํ•˜๋ ค๋ฉด ์•„๋ž˜ ๊ตฌ์„ฑ์„ ์ฐธ์กฐํ•˜์„ธ์š”.
์ฟ ๋‹ค 10.0
cuda 10.0์šฉ cudnn 7.5.0
ํŒŒ์ด์ฌ 3.6.8
ํ…์„œํ”Œ๋กœ 1.13.1
Visual C++ ์žฌ๋ฐฐํฌ 2015 ๋˜๋Š” 2017

๊ณต์‹ ์‚ฌ์ดํŠธ์—์„œ๋Š” tensorflow๊ฐ€ ํ˜„์žฌ cuda 9๋งŒ ์ง€์›ํ•œ๋‹ค๊ณ  ๋ฐํ˜”์ง€๋งŒ ์‹ค์ œ๋กœ๋Š” ์ด๋ฏธ CUDA 10์œผ๋กœ ์—…๋ฐ์ดํŠธ๋˜์—ˆ์œผ๋ฉฐ github์˜ ๋ฆด๋ฆฌ์Šค ๋…ธํŠธ์—์„œ ์ฐพ์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

๋„ˆ๋ฌด ๋‹จ์ˆœํ•จ, CUDA 9.0 ( cudnn 7.4.1) == > tensorflow 1.12.0
CUDA 10.0(cidnn 7.5.0)== > ํ…์„œํ”Œ๋กœ 1.13.1

ํŒŒ์ด์ฌ 3.7.2
ํ…์„œํ”Œ๋กœ์šฐ GPU 2.0.0a0
ํ…์„œ๋ณด๋“œ 1.13.0
ํ…์„œํ”Œ๋กœ์šฐ ์ถ”์ •๊ธฐ 1.13.0
์ฟ ๋‹ค 10.1
CUDA10.0์šฉ cuDNN v7.5.0
win10 x64
์ž‘๋™ํ•˜์ง€ ์•Š์•˜๋‹ค

ํ„ฐ๋ฏธ๋„์—๋Š” ๋ฌธ์ œ๊ฐ€ ์—†์ง€๋งŒ pycharm์—๋Š” ์ด ๋ฌธ์ œ๊ฐ€ ์žˆ์Šต๋‹ˆ๋‹ค. ์ฐธ๊ณ ํ•  ์ˆ˜ ์žˆ๊ธฐ๋ฅผ ๋ฐ”๋ž๋‹ˆ๋‹ค.

Win10+ํŒŒ์ด์ฌ 3.6+์ฟ ๋‹ค 10.0+cudnn 7.5+ํ…์„œํ”Œ๋กœ 1.13.1

๋‚˜๋Š” ๊ฐ™์€ ๋ฌธ์ œ๊ฐ€ ์žˆ์—ˆ๋‹ค. tensorflow-gpu๋ฅผ ์ œ๊ฑฐํ•˜๊ณ  conda๋ฅผ ํ†ตํ•ด ๋‹ค์‹œ ์„ค์น˜ํ•˜์—ฌ ํ•ด๊ฒฐํ–ˆ์Šต๋‹ˆ๋‹ค.

conda install tensorflow-gpu

๋‚˜๋Š” ๋ฌธ์ œ๊ฐ€ ์žˆ์—ˆ๋‹ค

TypeError: ๋””์Šคํฌ๋ฆฝํ„ฐ ํ’€์— ํ”„๋กœํ†  ํŒŒ์ผ์„ ๋นŒ๋“œํ•  ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค!
"object_detection/protos/post_processing.proto" ํŒŒ์ผ์— ๋Œ€ํ•œ ์ž˜๋ชป๋œ proto ์„ค๋ช…์ž:
object_detection/protos/post_processing.proto: ๊ฐ€์ ธ์˜ค๊ธฐ "object_detection/protos/calibration.proto"๊ฐ€ ๋กœ๋“œ๋˜์ง€ ์•Š์•˜์Šต๋‹ˆ๋‹ค.
object_detection.protos.PostProcessing.calibration_config: "object_detection.protos.CalibrationConfig"๋Š” "object_detection/protos/post_processing.proto"์—์„œ ๊ฐ€์ ธ์˜ค์ง€ ์•Š์€ "protos/calibration.proto"์— ์ •์˜๋œ ๊ฒƒ ๊ฐ™์Šต๋‹ˆ๋‹ค. ์—ฌ๊ธฐ์— ์‚ฌ์šฉํ•˜๋ ค๋ฉด ํ•„์š”ํ•œ ๊ฐ€์ ธ์˜ค๊ธฐ๋ฅผ ์ถ”๊ฐ€ํ•˜์„ธ์š”.

๋ฐฉ๊ธˆ TensorFlow๋ฅผ 1.10.0์œผ๋กœ ๋‹ค์šด๊ทธ๋ ˆ์ด๋“œํ–ˆ๋Š”๋ฐ ์ž‘๋™ํ–ˆ์Šต๋‹ˆ๋‹ค.

pip install tensorflow-gpu==1.10.0

pip install tensorflow-gpu ๋ช…๋ น์„ ์‹คํ–‰ํ–ˆ์„ ๋•Œ 1.13.0์ด ์„ค์น˜๋˜์—ˆ๊ณ  Win10: ImportError: DLL load failed: The specified module could not be found ์˜ค๋ฅ˜๊ฐ€ ๋ฐœ์ƒํ–ˆ์Šต๋‹ˆ๋‹ค. ๊ทธ๋ž˜์„œ @57ar7up์ด ์ œ์•ˆํ•œ ๋Œ€๋กœ 1.10.0 ๋กœ ๋‹ค์šด๊ทธ๋ ˆ์ด๋“œ๋ฅผ ์‹œ๋„ํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด๊ฒƒ์€ pip๊ฐ€ ํ•„์š”ํ•œ .whl ํŒŒ์ผ์„ ์ฐพ์„ ์ˆ˜ ์—†๊ณ  ์—ฐ๊ฒฐ์ด ๊ณ„์† ์‹œ๊ฐ„ ์ดˆ๊ณผ๋˜์—ˆ๊ธฐ ๋•Œ๋ฌธ์— ์ž‘๋™ํ•˜์ง€ ์•Š์•˜์Šต๋‹ˆ๋‹ค.

๊ทธ๋ž˜์„œ ๋‚˜๋Š” @WuYunfan ์˜ ์ ‘๊ทผ ๋ฐฉ์‹์„ ๋”ฐ๋ž๊ณ  1.12.0 ํšจ๊ณผ๊ฐ€ ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค.

๋งˆ์ง€๋ง‰์œผ๋กœ tensorflow 1.12.0 ๋ฐ cudnn 7.4.1.5์™€ ํ•จ๊ป˜ 9.2 ๋˜๋Š” 10.0 ๋Œ€์‹  cuda 9.0์„ ์„ค์น˜ํ•˜์—ฌ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•ฉ๋‹ˆ๋‹ค.

๋งˆ์ง€๋ง‰์œผ๋กœ ๋‚ด ์„ค์ •์€ ๋‹ค์Œ๊ณผ ๊ฐ™์Šต๋‹ˆ๋‹ค.

  • ์—”๋น„๋””์•„ GTX 1070
  • 4๊ฐœ์˜ ํŒจ์น˜๊ฐ€ ์žˆ๋Š” CUDA 9.0(์ด๋Š” GeForce ๋“œ๋ผ์ด๋ฒ„ 385.54๋ฅผ ์„ค์น˜ํ–ˆ์Šต๋‹ˆ๋‹ค)
  • CuDNN v7.5.0.56(CUDA 9.0์šฉ)
  • TF GPU 1.12.0

1.13.0 ๋Š” CUDA 10.0์— ์‚ฌ์šฉ๋ฉ๋‹ˆ๋‹ค.

Python 3.6.4 |Anaconda ์‚ฌ์šฉ์ž ์ง€์ •(64๋น„ํŠธ)| (๊ธฐ๋ณธ๊ฐ’, 2018๋…„ 1์›” 16์ผ, 10:22:32) win32์˜ [MSC v.1900 64๋น„ํŠธ(AMD64)]
์ž์„ธํ•œ ๋‚ด์šฉ์„ ๋ณด๋ ค๋ฉด "๋„์›€๋ง", "์ €์ž‘๊ถŒ", "ํฌ๋ ˆ๋”ง" ๋˜๋Š” "๋ผ์ด์„ผ์Šค"๋ฅผ ์ž…๋ ฅํ•˜์‹ญ์‹œ์˜ค.

ํ…์„œํ”Œ๋กœ ๊ฐ€์ ธ์˜ค๊ธฐ
์—ญ์ถ”์ (๊ฐ€์žฅ ์ตœ๊ทผ ํ˜ธ์ถœ ๋งˆ์ง€๋ง‰):
ํŒŒ์ผ "D:\MLandBigData\Anaconda3.5\lib\site-packagestensorflow\python\pywrap_tensorflow.py", 58ํ–‰,
tensorflow.python.pywrap_tensorflow_internal ๊ฐ€์ ธ์˜ค๊ธฐ์—์„œ *
ํŒŒ์ผ "D:\MLandBigData\Anaconda3.5\lib\site-packagestensorflow\python\pywrap_tensorflow_internal.py", 28ํ–‰,
_pywrap_tensorflow_internal = swig_import_helper()
ํŒŒ์ผ "D:\MLandBigData\Anaconda3.5\lib\site-packagestensorflow\python\pywrap_tensorflow_internal.py", 24ํ–‰, swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, ๊ฒฝ๋กœ ์ด๋ฆ„, ์„ค๋ช…)
load_module์˜ ํŒŒ์ผ "D:\MLandBigData\Anaconda3.5\lib\imp.py", 243ํ–‰
return load_dynamic(์ด๋ฆ„, ํŒŒ์ผ ์ด๋ฆ„, ํŒŒ์ผ)
load_dynamic์˜ ํŒŒ์ผ "D:\MLandBigData\Anaconda3.5\lib\imp.py", 343ํ–‰
๋ฐ˜ํ™˜ _load(์‚ฌ์–‘)
ImportError: DLL ๋กœ๋“œ ์‹คํŒจ: ๆ‰พไธๅˆฐๆŒ‡ๅฎš็š„ๆจกๅ—ใ€‚

์œ„์˜ ์˜ˆ์™ธ๋ฅผ ์ฒ˜๋ฆฌํ•˜๋Š” ๋™์•ˆ ๋‹ค๋ฅธ ์˜ˆ์™ธ๊ฐ€ ๋ฐœ์ƒํ–ˆ์Šต๋‹ˆ๋‹ค.

์—ญ์ถ”์ (๊ฐ€์žฅ ์ตœ๊ทผ ํ˜ธ์ถœ ๋งˆ์ง€๋ง‰):
ํŒŒ์ผ "", 1ํ–‰, ์—์„œ
ํŒŒ์ผ "D:\MLandBigData\Anaconda3.5\lib\site-packagestensorflow__init__.py", 24ํ–‰,
from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import
ํŒŒ์ผ "D:\MLandBigData\Anaconda3.5\lib\site-packagestensorflow\python__init__.py", ๋ผ์ธ 49,
tensorflow.python์—์„œ ๊ฐ€์ ธ์˜ค๊ธฐ pywrap_tensorflow
ํŒŒ์ผ "D:\MLandBigData\Anaconda3.5\lib\site-packagestensorflow\python\pywrap_tensorflow.py", ์ค„ 74,
ImportError(msg) ๋ฐœ์ƒ
ImportError: ์—ญ์ถ”์ (๊ฐ€์žฅ ์ตœ๊ทผ ํ˜ธ์ถœ ๋งˆ์ง€๋ง‰):
ํŒŒ์ผ "D:\MLandBigData\Anaconda3.5\lib\site-packagestensorflow\python\pywrap_tensorflow.py", ๋ผ์ธ 58,
tensorflow.python.pywrap_tensorflow_internal ๊ฐ€์ ธ์˜ค๊ธฐ์—์„œ *
ํŒŒ์ผ "D:\MLandBigData\Anaconda3.5\lib\site-packagestensorflow\python\pywrap_tensorflow_internal.py", 28ํ–‰,
_pywrap_tensorflow_internal = swig_import_helper()
ํŒŒ์ผ "D:\MLandBigData\Anaconda3.5\lib\site-packagestensorflow\python\pywrap_tensorflow_internal.py", 24ํ–‰, swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, ๊ฒฝ๋กœ ์ด๋ฆ„, ์„ค๋ช…)
load_module์˜ ํŒŒ์ผ "D:\MLandBigData\Anaconda3.5\lib\imp.py", 243ํ–‰
return load_dynamic(์ด๋ฆ„, ํŒŒ์ผ ์ด๋ฆ„, ํŒŒ์ผ)
load_dynamic์˜ ํŒŒ์ผ "D:\MLandBigData\Anaconda3.5\lib\imp.py", 343ํ–‰
๋ฐ˜ํ™˜ _load(์‚ฌ์–‘)
ImportError: DLL ๋กœ๋“œ ์‹คํŒจ: ๆ‰พไธๅˆฐๆŒ‡ๅฎš็š„ๆจกๅ—ใ€‚

๊ธฐ๋ณธ TensorFlow ๋Ÿฐํƒ€์ž„์„ ๋กœ๋“œํ•˜์ง€ ๋ชปํ–ˆ์Šต๋‹ˆ๋‹ค.

https://www.tensorflow.org/install/errors ์ฐธ์กฐ

๋ช‡ ๊ฐ€์ง€ ์ผ๋ฐ˜์ ์ธ ์ด์œ ์™€ ์†”๋ฃจ์…˜ ๋•Œ๋ฌธ์ž…๋‹ˆ๋‹ค. ์ „์ฒด ์Šคํƒ ์ถ”์  ํฌํ•จ
๋„์›€์„ ์š”์ฒญํ•  ๋•Œ ์ด ์˜ค๋ฅ˜ ๋ฉ”์‹œ์ง€ ์œ„์— ํ‘œ์‹œ๋ฉ๋‹ˆ๋‹ค.

ํŒŒ์ด์ฌ 3.7.1
ํ…์„œํ”Œ๋กœ์šฐ GPU 1.13.1

์ฟ ๋‹ค 8.0
CUDA 8.0์šฉ cuDNN v7.1.4
win10 x64

๋„์™€์ฃผ์„ธ์š”

๋‹ค์Œ๊ณผ ๊ฐ™์€ ํ™˜๊ฒฝ์œผ๋กœ ์†Œ์Šค์—์„œ ํ…์„œํ”Œ๋กœ๋ฅผ ๊ตฌ์ถ•ํ•˜๊ณ  ์ž‘์—…ํ–ˆ์Šต๋‹ˆ๋‹ค.
ํŒŒ์ด์ฌ 3.7.1
ํ…์„œํ”Œ๋กœ์šฐ GPU 1.13.1

์ฟ ๋‹ค 9.1
CUDA 9.1์šฉ cuDNN v7.0.5
win10 x64

๋‚ด ์˜ค๋ฅ˜ ๋ฉ”์‹œ์ง€๊ฐ€ ๋ช‡ ์ค„ ์•„๋ž˜๋กœ ๋ณต์‚ฌ๋ฉ๋‹ˆ๋‹ค. ๋‚˜๋Š” ๋‹ค๋ฅธ ์‚ฌ๋žŒ๋“ค์—๊ฒŒ ํšจ๊ณผ๊ฐ€ ์žˆ๋Š” ๊ฒƒ์ฒ˜๋Ÿผ ๋ณด์ด๋Š” ๋ช‡ ๊ฐ€์ง€ ์†”๋ฃจ์…˜์„ ์‹œ๋„ํ–ˆ์ง€๋งŒ ๋‚˜์—๊ฒŒ๋Š” ํšจ๊ณผ๊ฐ€ ์—†์—ˆ์Šต๋‹ˆ๋‹ค. ๊ตฌ์ฒด์ ์œผ๋กœ ํŠน๋ณ„ํžˆ:
ํ•ญ์ƒ python 3.6.8 ๋ฐ Windows 10 ๋ฐ Visual Studios 2017 ๋ฐ Quadro M1000M GPU
pip๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ tensorflow-gpu 1.13.1์„ ์„ค์น˜ํ–ˆ์Šต๋‹ˆ๋‹ค.
์ฝ์€ ํ›„ CUDA 10.1(์›๋ž˜ ์‹œ๋„ํ•œ)์ด ์•„๋ฌด ๊ฒƒ๋„ ์ž‘๋™ํ•˜์ง€ ์•Š๋Š”๋‹ค๋Š” ๊ฒƒ์„ ์•Œ์•˜์œผ๋ฏ€๋กœ CUDA 10.0์œผ๋กœ ์ „ํ™˜ํ–ˆ์Šต๋‹ˆ๋‹ค. CUDA 10.0์„ ์‚ฌ์šฉํ•˜์—ฌ cudNN 7.4.2 ๋ฐ 7.5.0์„ ์‹œ๋„ํ–ˆ์Šต๋‹ˆ๋‹ค. ๋‘˜ ๋‹ค ์ž‘๋™ํ•˜์ง€ ์•Š์ง€๋งŒ ์—ฌ์ „ํžˆ CUDA 10.1์ด ์„ค์น˜๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค(tensorflow๊ฐ€ ์ž๋™์œผ๋กœ ๋‘˜ ๋‹ค ์‹œ๋„ํ•ฉ๋‹ˆ๊นŒ, ์•„๋‹ˆ๋ฉด ์–ด๋–ป๊ฒŒ๋“  10.0์„ ์‚ฌ์šฉํ•˜๋„๋ก ์„ค์ •ํ•ด์•ผ ํ•ฉ๋‹ˆ๊นŒ?).

tensorflow-gpu๊ฐ€ ํ•ญ์ƒ ๋‚ด ํ…Œ์ŠคํŠธ๋ฅผ ์œ„ํ•ด ์„ค์น˜๋˜์—ˆ์ง€๋งŒ ์ด์ „์— tensorflow-gpu๋ฅผ ๋ช‡ ๋ฒˆ ์ œ๊ฑฐํ•˜๊ณ  ๋‹ค์‹œ ์„ค์น˜ํ–ˆ์Šต๋‹ˆ๋‹ค(๋˜ํ•œ ์ผ๋ฐ˜ tensorflow - ๋‚ด GPU๋ฅผ ๊ฐ์ง€ํ•˜์ง€ ์•Š์Œ). ์ด๊ฒƒ์€ ๋˜ํ•œ CUDA ๋˜๋Š” cudNN์œผ๋กœ ์ž‘์—…ํ•˜๋Š” ๊ฒƒ์ด ์ฒ˜์Œ์ด๋ฏ€๋กœ cudNN์„ ์˜ฌ๋ฐ”๋ฅด๊ฒŒ "์„ค์น˜"ํ–ˆ๋Š”์ง€ 100% ํ™•์‹ ํ•  ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค(์ถ”์ถœ๋œ cudNN ํด๋” bin, lib ๋ฐ ํฌํ•จ์—์„œ ๊ด€๋ จ ํŒŒ์ผ์„ Cuda bin, lib & inc์— ๋ณต์‚ฌ). ํด๋”). ๋˜ํ•œ ํ•˜๋‚˜์˜ ์†”๋ฃจ์…˜์œผ๋กœ ์ž‘๋™ํ•˜๋Š” tf-nightly-gpu๋ฅผ ์„ค์น˜ํ–ˆ์Šต๋‹ˆ๋‹ค.

์—๋Ÿฌ ๋ฉ”์‹œ์ง€:

Python 3.6.8rc1(v3.6.8rc1:cc3e73212a, 2018๋…„ 12์›” 12์ผ, 00:15:46) [MSC v.1900 64๋น„ํŠธ(AMD64)] on win32
์ž์„ธํ•œ ๋‚ด์šฉ์„ ๋ณด๋ ค๋ฉด "๋„์›€๋ง", "์ €์ž‘๊ถŒ", "ํฌ๋ ˆ๋”ง" ๋˜๋Š” "๋ผ์ด์„ผ์Šค"๋ฅผ ์ž…๋ ฅํ•˜์‹ญ์‹œ์˜ค.

ํ…์„œํ”Œ๋กœ๋ฅผ tf๋กœ ๊ฐ€์ ธ์˜ค๊ธฐ
์—ญ์ถ”์ (๊ฐ€์žฅ ์ตœ๊ทผ ํ˜ธ์ถœ ๋งˆ์ง€๋ง‰):
ํŒŒ์ผ "C:\Users\601969\AppData\Local\Programs\Python\Python36\lib\site-packagestensorflow\python\pywrap_tensorflow.py", ๋ผ์ธ 58,
tensorflow.python.pywrap_tensorflow_internal ๊ฐ€์ ธ์˜ค๊ธฐ์—์„œ *
ํŒŒ์ผ "C:\Users\601969\AppData\Local\Programs\Python\Python36\lib\site-packagestensorflow\python\pywrap_tensorflow_internal.py", 28ํ–‰,
_pywrap_tensorflow_internal = swig_import_helper()
ํŒŒ์ผ "C:\Users\601969\AppData\Local\Programs\Python\Python36\lib\site-packagestensorflow\python\pywrap_tensorflow_internal.py", 24ํ–‰, swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, ๊ฒฝ๋กœ ์ด๋ฆ„, ์„ค๋ช…)
load_module์˜ ํŒŒ์ผ "C:\Users\601969\AppData\Local\Programs\Python\Python36\lib\imp.py", 243ํ–‰
return load_dynamic(์ด๋ฆ„, ํŒŒ์ผ ์ด๋ฆ„, ํŒŒ์ผ)
load_dynamic์˜ ํŒŒ์ผ "C:\Users\601969\AppData\Local\Programs\Python\Python36\lib\imp.py", 343ํ–‰
๋ฐ˜ํ™˜ _load(์‚ฌ์–‘)
ImportError: DLL ๋กœ๋“œ ์‹คํŒจ: ์ง€์ •๋œ ๋ชจ๋“ˆ์„ ์ฐพ์„ ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค.

์œ„์˜ ์˜ˆ์™ธ๋ฅผ ์ฒ˜๋ฆฌํ•˜๋Š” ๋™์•ˆ ๋‹ค๋ฅธ ์˜ˆ์™ธ๊ฐ€ ๋ฐœ์ƒํ–ˆ์Šต๋‹ˆ๋‹ค.

์—ญ์ถ”์ (๊ฐ€์žฅ ์ตœ๊ทผ ํ˜ธ์ถœ ๋งˆ์ง€๋ง‰):
ํŒŒ์ผ "", 1ํ–‰, ์—์„œ
ํŒŒ์ผ "C:\Users\601969\AppData\Local\Programs\Python\Python36\lib\site-packagestensorflow__init__.py", 28ํ–‰,
from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import
ํŒŒ์ผ "C:\Users\601969\AppData\Local\Programs\Python\Python36\lib\site-packagestensorflow\python__init__.py", ๋ผ์ธ 49,
tensorflow.python์—์„œ ๊ฐ€์ ธ์˜ค๊ธฐ pywrap_tensorflow
ํŒŒ์ผ "C:\Users\601969\AppData\Local\Programs\Python\Python36\lib\site-packagestensorflow\python\pywrap_tensorflow.py", ๋ผ์ธ 74,
ImportError(msg) ๋ฐœ์ƒ
ImportError: ์—ญ์ถ”์ (๊ฐ€์žฅ ์ตœ๊ทผ ํ˜ธ์ถœ ๋งˆ์ง€๋ง‰):
ํŒŒ์ผ "C:\Users\601969\AppData\Local\Programs\Python\Python36\lib\site-packagestensorflow\python\pywrap_tensorflow.py", ๋ผ์ธ 58,
tensorflow.python.pywrap_tensorflow_internal ๊ฐ€์ ธ์˜ค๊ธฐ์—์„œ *
ํŒŒ์ผ "C:\Users\601969\AppData\Local\Programs\Python\Python36\lib\site-packagestensorflow\python\pywrap_tensorflow_internal.py", 28ํ–‰,
_pywrap_tensorflow_internal = swig_import_helper()
ํŒŒ์ผ "C:\Users\601969\AppData\Local\Programs\Python\Python36\lib\site-packagestensorflow\python\pywrap_tensorflow_internal.py", 24ํ–‰, swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, ๊ฒฝ๋กœ ์ด๋ฆ„, ์„ค๋ช…)
load_module์˜ ํŒŒ์ผ "C:\Users\601969\AppData\Local\Programs\Python\Python36\lib\imp.py", 243ํ–‰
return load_dynamic(์ด๋ฆ„, ํŒŒ์ผ ์ด๋ฆ„, ํŒŒ์ผ)
load_dynamic์˜ ํŒŒ์ผ "C:\Users\601969\AppData\Local\Programs\Python\Python36\lib\imp.py", 343ํ–‰
๋ฐ˜ํ™˜ _load(์‚ฌ์–‘)
ImportError: DLL ๋กœ๋“œ ์‹คํŒจ: ์ง€์ •๋œ ๋ชจ๋“ˆ์„ ์ฐพ์„ ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค.

๊ฐ™์€ ๋ฌธ์ œ์ž…๋‹ˆ๋‹ค. Win10 x64, python 3.6, tensorflow-gpu 1.12.0, CUDNN 10.1์ด ์„ค์น˜๋œ CUDA 10.1.

python 3.6.8๊ณผ ํ•จ๊ป˜ virtualenv๋ฅผ ์‚ฌ์šฉํ•˜๊ณ  ๊ทธ๋ƒฅ ์‹คํ–‰ํ•ฉ๋‹ˆ๋‹ค.
pip install tensorflow-gpu

์ฟ ๋‹ค 9.0
cuda 9.0์šฉ cudnn 7.4.1
ํŒŒ์ด์ฌ 3.6.8
ํ…์„œํ”Œ๋กœ 1.12.0
๋น„์ฃผ์–ผ C++ 2015 ์žฌ๋ฐฐํฌ

์ด ๊ตฌ์„ฑ์ด ์ž‘๋™ํ•ฉ๋‹ˆ๋‹ค.
์ฃผ์˜, tensorflow 1.13์€ ์ด ๊ตฌ์„ฑ์—์„œ ์ž‘๋™ํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค.

===========================ํŽธ์ง‘================
๋‚ด๊ฐ€ ๋‹ค์‹œ ์‹œ๋„ํ•œ ๊ฒƒ์ฒ˜๋Ÿผ.
tensorflow 1.13.1์„ ์‚ฌ์šฉํ•˜๋ ค๋ฉด ์•„๋ž˜ ๊ตฌ์„ฑ์„ ์ฐธ์กฐํ•˜์„ธ์š”.
์ฟ ๋‹ค 10.0
cuda 10.0์šฉ cudnn 7.5.0
ํŒŒ์ด์ฌ 3.6.8
ํ…์„œํ”Œ๋กœ 1.13.1
Visual C++ ์žฌ๋ฐฐํฌ 2015 ๋˜๋Š” 2017

๊ณต์‹ ์‚ฌ์ดํŠธ์—์„œ๋Š” tensorflow๊ฐ€ ํ˜„์žฌ cuda 9๋งŒ ์ง€์›ํ•œ๋‹ค๊ณ  ๋ฐํ˜”์ง€๋งŒ ์‹ค์ œ๋กœ๋Š” ์ด๋ฏธ CUDA 10์œผ๋กœ ์—…๋ฐ์ดํŠธ๋˜์—ˆ์œผ๋ฉฐ github์˜ ๋ฆด๋ฆฌ์Šค ๋…ธํŠธ์—์„œ ์ฐพ์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

๋„ˆ๋ฌด ๋‹จ์ˆœํ•จ, CUDA 9.0 ( cudnn 7.4.1) == > tensorflow 1.12.0
CUDA 10.0(cidnn 7.5.0)== > ํ…์„œํ”Œ๋กœ 1.13.1

๊ฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค. ๋‚ด ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐ
๋‚ด ์„ค์ •
Win10 + Python 3.6.6 + GeForce GTX 1050 Ti(Legion ๋…ธํŠธ๋ถ)
Visual Studio Community 2017 + CUDA 10.0(cudnn 7.5.0) + tensorflow 1.13.1

์ „๋ฐ˜์ ์œผ๋กœ tensorflow-gpu(1.13.1)์—์„œ ์ž‘๋™ํ•˜๋„๋ก ๊ธฐ๋ณธ ์œ ํšจ์„ฑ ๊ฒ€์‚ฌ ํ…Œ์ŠคํŠธ๋ฅผ ์ˆ˜ํ–‰ํ•˜๋Š” ๊ฒƒ์€ ํฐ ์‹œ๋ จ์ž…๋‹ˆ๋‹ค. ์™„์ „ํžˆ ์“ธ๋ชจ์—†๋Š” DLL ๋กœ๋“œ ์˜ค๋ฅ˜ ๋ฉ”์‹œ์ง€๊ฐ€ ์ •ํ™•ํžˆ ์–ด๋””์—์„œ ์™”๋Š”์ง€ ๋ชจ๋ฆ…๋‹ˆ๋‹ค...

์šฉ๊ฐํ•œ ์˜ํ˜ผ์„ ๋„์šธ ์ˆ˜ ์žˆ๋„๋ก ๋‚ด ๋งค๊ฐœ ๋ณ€์ˆ˜๋ฅผ ๊ธฐ๋กํ•ด ๋‘์‹ญ์‹œ์˜ค(2019๋…„ 3์›” 18์ผ ๊ธฐ์ค€)!
๊ธฐ๋ณธ ํ”„๋ ˆ์ž„์›Œํฌ: Windows 10 Pro/64, Anaconda 3-5.1.0(python 3.6.4),
๋น„์ฃผ์–ผ ์ŠคํŠœ๋””์˜ค 2017 [GPU=RTX2060]
DLL ์˜ค๋ฅ˜๋ฅผ ๋ฐœ์ƒ์‹œํ‚ค๋Š” ์‹คํŒจํ•œ ๋Œ€์ƒ ์„ค์ •:
CUDA 10.1 + ํ•ด๋‹น cuDNN(7.5.0.56)
์ž‘๋™ํ•˜๋Š” ๊ฒƒ ๊ฐ™์Šต๋‹ˆ๋‹ค(์•„๋‚˜์ฝ˜๋‹ค์—์„œ numpy ๋ฒ„์ „์œผ๋กœ ์‚ฌ์†Œํ•œ ๊ฒฐํ•จ์„ ํ•ด๊ฒฐํ•œ ํ›„)
์ฟ ๋‹ค 10.0 + cuDNN 7.4.1.5

CUDA 10.1๋กœ ์‹œ๋„ํ–ˆ์ง€๋งŒ ๋ชจ๋“  ๋ฒ„์ „ ์กฐํ•ฉ์ด ์ž‘๋™ํ•˜์ง€ ์•Š์•„ ๋ˆ„๊ตฐ๊ฐ€ ์ œ์•ˆํ•œ ๋Œ€๋กœ CUDA 10.0์œผ๋กœ ์ „ํ™˜ํ–ˆ๊ณ  ๋งˆ์นจ๋‚ด ์ž‘๋™ํ–ˆ์Šต๋‹ˆ๋‹ค. ๊ทธ๋ž˜์„œ ๋‚˜๋Š” ๋ฌธ์ œ๊ฐ€ CUDA 10.1์— ์žˆ๋‹ค๊ณ  ์ƒ๊ฐํ•ฉ๋‹ˆ๋‹ค.

๋‚ด ์„ฑ๊ณต์ ์ธ ๋ฒ„์ „ ์กฐํ•ฉ์€ ๋‹ค์Œ๊ณผ ๊ฐ™์Šต๋‹ˆ๋‹ค.

CUDA 10.0(CUDA 10.1 ์•„๋‹˜)
cuDNN v7.5.0(2019๋…„ 2์›” 21์ผ), CUDA 10.0์šฉ(CUDA 10.1์šฉ ์•„๋‹˜)
Annaconda Anaconda 2018.12(Python 3.7 ๋ฒ„์ „, 64๋น„ํŠธ ๊ทธ๋ž˜ํ”ฝ ์„ค์น˜ ํ”„๋กœ๊ทธ๋žจ ํฌํ•จ)

๊ทธ๋Ÿฐ ๋‹ค์Œ Python 3.7.1 + Tensorflow 1.13.1 ๋ฐ Python 3.68 + Tensorflow 2.0.0-alpha0์˜ 2๊ฐ€์ง€ ์กฐํ•ฉ์„ ํ…Œ์ŠคํŠธํ–ˆ์Šต๋‹ˆ๋‹ค. ๋‘˜ ๋‹ค ์ผํ•ฉ๋‹ˆ๋‹ค.

BTW, ๋‚˜๋Š” ์‚ฌ์šฉ
conda ์„ค์น˜ tensorflow-gpu
๋Œ€์‹ ์—
pip ์„ค์น˜ tensorflow-gpu
๋ˆ„๊ตฐ๊ฐ€ ์ œ์•ˆํ•œ ๋Œ€๋กœ tensorflow๋ฅผ ์„ค์น˜ํ•ฉ๋‹ˆ๋‹ค.

ํ–‰์šด์„ ๋น•๋‹ˆ๋‹ค.

(conda install tensorflow-gpu)๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๋™์ผํ•œ ๋ฌธ์ œ๊ฐ€ ๋ฐœ์ƒํ•˜์—ฌ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ–ˆ์Šต๋‹ˆ๋‹ค.
์ฟ ๋‹ค 10.0
cuda 10.0์šฉ cudnn 7.41.5
ํŒŒ์ด์ฌ 7.1

๋ฐฉ๊ธˆ TensorFlow๋ฅผ 1.10.0์œผ๋กœ ๋‹ค์šด๊ทธ๋ ˆ์ด๋“œํ–ˆ๋Š”๋ฐ ์ž‘๋™ํ–ˆ์Šต๋‹ˆ๋‹ค.

pip install tensorflow-gpu==1.10.0

์˜ˆ, ์ž‘๋™ํ•ฉ๋‹ˆ๋‹ค. ํ‘œ์‹œ!

๋‚˜๋Š” ์ €์ž์™€ ๊ฐ™์€ ์งˆ๋ฌธ์„ ๊ฐ€์ง€๊ณ  ์žˆ์œผ๋ฉฐ, ์ง€๊ธˆ ๊ทธ๊ฒƒ์„ ํ•ด๊ฒฐํ•ฉ๋‹ˆ๋‹ค.
์ฐฝ 10
ํŒŒ์ด์ฌ 3.6.2
GPU rtx2080
๋‚ด ๋ฌธ์ œ๋Š” CUDA ๋ฒ„์ „๊ณผ cudnn์ด ์„œ๋กœ ๋งž์ง€ ์•Š๋Š”๋‹ค๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค.
2019/3/3 ์˜ค๋Š˜ CUDA์˜ ์ตœ์‹  ๋ฒ„์ „์€ 10.1์ด์ง€๋งŒ ํ•ด๋‹น ๋ฒ„์ „์˜ cudnn์ด ์—†์Šต๋‹ˆ๋‹ค.
๊ทธ๋ž˜์„œ CUDA 10.0์„ ๋ณ€๊ฒฝํ•˜๊ณ  tensorflow๋ฅผ ๋‹ค์‹œ ์„ค์น˜ํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด์ œ ์ž‘๋™ํ•ฉ๋‹ˆ๋‹ค!

์•ˆ๋…•ํ•˜์„ธ์š”, ์ €๋Š” python 3.7๊ณผ ๋™์ผํ•œ ์„ค์ •์„ ๊ฐ€์ง€๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.
์ด์ œ CUDA 10.1์˜ cudnn ๋ฒ„์ „์ด ์žˆ์ง€๋งŒ pip์—์„œ ์„ค์น˜ํ•˜๋ฉด tensorflow-gpu๊ฐ€ ์—ฌ์ „ํžˆ ์ž‘๋™ํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค.
์ง์ ‘ ์žฌ๊ฑดํ•˜์…จ๋‚˜์š”?

ํŽธ์ง‘.: ๋ฌธ์ œ๋ฅผ ์ฐพ์•˜์Šต๋‹ˆ๋‹ค. CUDA 10.1์„ ์ง€์›ํ•˜๋Š” nvidia์˜ cudNN ๋ฒ„์ „์ด ์žˆ๋”๋ผ๋„ CUDA 10.1์„ ์ง€์›ํ•˜๋Š” python ๋ผ์ด๋ธŒ๋Ÿฌ๋ฆฌ๋Š” ์—†์Šต๋‹ˆ๋‹ค. ์ด ๋ผ์ด๋ธŒ๋Ÿฌ๋ฆฌ๋Š” tensorflow-gpu์™€์˜ ์ข…์†์„ฑ์œผ๋กœ ์„ค์น˜๋˜์ง€๋งŒ CUDA 10.0๋งŒ ์ง€์›ํ•ฉ๋‹ˆ๋‹ค.

๋ฐฉ๊ธˆ ์ตœ์‹  conda 3.7์„ ์„ค์น˜ํ–ˆ์Šต๋‹ˆ๋‹ค.
anaconda promt์—์„œ "conda install tensorflow-gpu" ์‹คํ–‰
cuda, cudann ๋ฐ PATH ๋ณ€์ˆ˜๋ฅผ ์„ค์น˜ํ•  ํ•„์š”๊ฐ€ ์—†์Šต๋‹ˆ๋‹ค.
๋ชจ๋“  ๊ฒƒ์ด ์ž‘๋™ํ•ฉ๋‹ˆ๋‹ค

CUDA 10.1์ด ์ž‘๋™ํ•˜์ง€ ์•Š๋Š” ๊ฒƒ์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ tensorflow๋Š” ๊ฒฐ์ฝ” ๊ทธ๋ ‡๊ฒŒ ์ฃผ์žฅํ•˜์ง€ ์•Š์•˜์œผ๋ฉฐ ๊ฐ€์ด๋“œ๋Š” CUDA 10.0 ์„

์ด ๋ฒ„์ „์„ ์ฐพ์„ ์ˆ˜ ์—†๋Š” ์‚ฌ๋žŒ๋“ค์„ ์œ„ํ•ด NVIDIA ์•„์นด์ด๋ธŒ์—์„œ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ์œผ๋ฉฐ ์—ฌ๊ธฐ์— ์ง์ ‘ ๋งํฌ๊ฐ€ ์žˆ์Šต๋‹ˆ๋‹ค: https://developer.nvidia.com/cuda-10.0-download-archive

๋‚ด ์„ค์ •:

ํŒŒ์ด์ฌ 3.6.5
์ฟ ๋‹ค 9.0
cuDNN 7.41.5
ํ…์„œํ”Œ๋กœ 1.12.0
ํ…์„œํ”Œ๋กœ GPU 1.12.0

ํ›Œ๋ฅญํ•œ ์ผ

์•ˆ๋…• ๋ชจ๋‘,

๊ฐ™์€ ๋ฌธ์ œ์— ์ง๋ฉด!

๋ˆ„๊ตฌ๋“ ์ง€ ๋‹ค์Œ๊ณผ ํ•จ๊ป˜ _AMD Radeon HD7500M_ ๊ทธ๋ž˜ํ”ฝ ๊ฐ€์†๊ธฐ์— ๋Œ€ํ•œ '์ž‘๋™' ํ™˜๊ฒฝ ์ •๋ณด๋ฅผ ์ œ๊ณตํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๊นŒ?

  • Win10 ํ”„๋กœ, FU 1803
  • I3 3์„ธ๋Œ€, 4GB
  • ์ฟ ๋‹ค ver.10.0.130
  • 10.0_0์šฉ CUDNN ๋ฒ„์ „ 7.3.1
  • ์•„๋‚˜์ฝ˜๋‹ค3 (2018.12)
  • ํŒŒ์ด 3.7.1
  • Tensorflow-gpu 1.13.1 - 'Anaconda ํ”„๋กฌํ”„ํŠธ'๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ 'Conda' ์„ค์น˜

๊ฐ์‚ฌ ํ•ด์š”!

ํ…์„œ๋ณด๋“œ๋ฅผ ์‹คํ–‰ํ•˜๋ ค๊ณ  ํ•  ๋•Œ ๋™์ผํ•œ DLL ๋กœ๋“œ ์‹คํŒจ ์˜ค๋ฅ˜๊ฐ€ ๋ฐœ์ƒํ–ˆ์Šต๋‹ˆ๋‹ค. ๋‹ค๋ฅธ ํ•ญ๋ชฉ์„ ์‹คํ–‰ํ•˜๋Š” ๋ฐ ๋ฌธ์ œ๊ฐ€ ์—†์Šต๋‹ˆ๋‹ค.

์œˆ10
ํ…์„œํ”Œ๋กœ์šฐ GPU 1.11.0
ํ…์„œ๋ณด๋“œ 1.11.0
์ปค๋“œ 7.1.4
cuda9.0_0
ํŒŒ์ด์ฌ 3.6.3

๋‚ด ์„ค์ •:

Win10x64
ํ…์„œํ”Œ๋กœ์šฐ GPU 1.13.1
์ฟ ๋‹ค 10.1
cuda10.1์šฉ CUDNN 7.5
ํŒŒ์ด์ฌ 3.7.1

๊ทธ๋ฆฌ๊ณ  ๋‚˜๋Š” ๊ฐ™์€ ์˜ค๋ฅ˜๊ฐ€ ๋ฐœ์ƒํ–ˆ์Šต๋‹ˆ๋‹ค!

ํ…์„œ๋ณด๋“œ๋ฅผ ์‹คํ–‰ํ•˜๋ ค๊ณ  ํ•  ๋•Œ ๋™์ผํ•œ DLL ๋กœ๋“œ ์‹คํŒจ ์˜ค๋ฅ˜๊ฐ€ ๋ฐœ์ƒํ–ˆ์Šต๋‹ˆ๋‹ค. ๋‹ค๋ฅธ ํ•ญ๋ชฉ์„ ์‹คํ–‰ํ•˜๋Š” ๋ฐ ๋ฌธ์ œ๊ฐ€ ์—†์Šต๋‹ˆ๋‹ค.

์œˆ10
ํ…์„œํ”Œ๋กœ์šฐ GPU 1.11.0
ํ…์„œ๋ณด๋“œ 1.11.0
์ปค๋“œ 7.1.4
cuda9.0_0
ํŒŒ์ด์ฌ 3.6.3

cygrpc๋ฅผ ๊ฐ€์ ธ์˜ฌ ๋•Œ DLL ๋กœ๋“œ ๊ฐ€์ ธ์˜ค๊ธฐ ์˜ค๋ฅ˜๊ฐ€ ๋ฐœ์ƒํ•˜๋ฏ€๋กœ pip์—์„œ cygrpc๋ฅผ ์—…๊ทธ๋ ˆ์ด๋“œํ•˜์—ฌ ์˜ค๋ฅ˜๋ฅผ ์ˆ˜์ •ํ–ˆ์Šต๋‹ˆ๋‹ค.

๋‚ด ์„ค์ •:

Win10x64
ํ…์„œํ”Œ๋กœ์šฐ GPU 1.13.1
์ฟ ๋‹ค 10.1
cuda10.1์šฉ CUDNN 7.5
ํŒŒ์ด์ฌ 3.7.1

๊ทธ๋ฆฌ๊ณ  ๋‚˜๋Š” ๊ฐ™์€ ์˜ค๋ฅ˜๊ฐ€ ๋ฐœ์ƒํ–ˆ์Šต๋‹ˆ๋‹ค!

ํ™˜๊ฒฝ์„ ๋ณ€๊ฒฝํ–ˆ์Šต๋‹ˆ๋‹ค.
ยทํ…์„œํ”Œ๋กœ์šฐ GPU 1.12.0
ยท์ฟ ๋‹ค 9.0
ยทCUDA9.0์šฉ Cudnn 7.5
ยทํŒŒ์ด์ฌ3.6.8

๋งˆ์นจ๋‚ด ์ž‘๋™ํ•ฉ๋‹ˆ๋‹ค!

tf-gpu๋Š” 'NVIDIA' ์•ก์…€๋Ÿฌ๋ ˆ์ดํ„ฐ์—์„œ๋งŒ ์ž‘๋™ํ•ฉ๋‹ˆ๊นŒ?

'RADEON' - ๋‹ค๋ฅธ lib/build๋ฅผ ์‚ฌ์šฉํ•ด์•ผ ํ•ฉ๋‹ˆ๋‹ค!

https://github.com/fo40225/tensorflow-windows-wheel

๋‚˜์ด๊ฐ€ ๋“ค์—ˆ์ง€๋งŒ ๋งˆ์นจ๋‚ด ๋‚ด PC์—์„œ ์ด ๋ฌธ์ œ๋ฅผ ๋ถ„๋ฅ˜ํ–ˆ์Šต๋‹ˆ๋‹ค. ์˜ฌ๋ฐ”๋ฅธ cuDNN์ด ์„ค์น˜๋˜์ง€ ์•Š์€ ๊ฒƒ๊ณผ VS redist๊ฐ€ ํ˜ผํ•ฉ๋˜์–ด ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค. ์œ„ ๋งํฌ์—์„œ Python ๋ฒ„์ „, CPU ๋ฐ ๊ทธ๋ž˜ํ”ฝ ์นด๋“œ์— ๋Œ€ํ•œ ์˜ฌ๋ฐ”๋ฅธ ๋ฒ„์ „์„ ์ฐพ์œผ์‹ญ์‹œ์˜ค.

DTopping256 ๊ฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค!!!

๋‚˜๋Š” ๊ฐ™์€ ๋ฌธ์ œ๊ฐ€ ์žˆ์—ˆ๋‹ค. tensorflow-gpu๋ฅผ ์ œ๊ฑฐํ•˜๊ณ  conda๋ฅผ ํ†ตํ•ด ๋‹ค์‹œ ์„ค์น˜ํ•˜์—ฌ ํ•ด๊ฒฐํ–ˆ์Šต๋‹ˆ๋‹ค.

conda install tensorflow-gpu

๋‚˜๋Š” ์ƒˆ๋กœ์šด ํ™˜๊ฒฝ์„ ๋งŒ๋“ค๊ณ  ์—ฌ๊ธฐ(https://www.tensorflow.org/install/pip)์˜ ์ง€์‹œ์— ๋”ฐ๋ผ tensorflow-gpu๋ฅผ ๋‹ค์‹œ ๋‹ค์šด๋กœ๋“œํ–ˆ์Šต๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ตœ์‹  ์•ˆ์ • ๋ฒ„์ „(1.13)์„ ์„ค์น˜ํ•˜์—ฌ ๋ฌธ์ œ๋ฅผ ์ผ์œผ์ผฐ์Šต๋‹ˆ๋‹ค. conda๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ tf-gpu๋ฅผ ์„ค์น˜ํ–ˆ๊ณ  tf-gpu ๋ฒ„์ „ 1.12.0-h0d30ee6_0๊ณผ ํ•จ๊ป˜ ํŒจํ‚ค์ง€๋ฅผ ์„ค์น˜ํ–ˆ์Šต๋‹ˆ๋‹ค. ๋‚˜๋Š” 1.12v๊ฐ€ ์ ์–ด๋„ ๋‚ด ๋žฉํ†ฑ์—์„œ๋Š” ๋ฌธ์ œ๋ฅผ ์ผ์œผํ‚ค์ง€ ์•Š๋Š”๋‹ค๊ณ  ์ƒ๊ฐํ•ฉ๋‹ˆ๋‹ค.

์ฐธ๊ณ ๋กœ:
Win10x64
์ฟ ๋‹ค V10.1.105
ํŒŒ์ด์ฌ 3.6.5
์—”๋น„๋””์•„ GPU 1070 ๋งฅ์Šคํ

๊ฐ™์€ ๋ฌธ์ œ.
win10 x64
์ฟ ๋‹ค 9.0.176
์ปค๋“œ 7.0
ํŒŒ์ด์ฌ 3.6.0
ํ…์„œํ”Œ๋กœ์šฐ GPU 1.13.0


@2019/04/16
tensorflow-gpu-1.12๋ฅผ ์„ค์ •ํ•˜์—ฌ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ–ˆ์Šต๋‹ˆ๋‹ค. ์ตœ์‹  ๋ฒ„์ „ tensorflow-gpu-1.13์—๋Š” cuda-10.0์ด ํ•„์š”ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

์ œ ์š”์•ฝ ์ด์ง€๋งŒ ์–ธ์–ด๋Š” ์ค‘๊ตญ์–ด์ž…๋‹ˆ๋‹ค.^_^

๋‚˜๋Š” ๊ฐ™์€ ๋ฌธ์ œ๊ฐ€ ์žˆ์—ˆ๋‹ค. tensorflow-gpu๋ฅผ ์ œ๊ฑฐํ•˜๊ณ  conda๋ฅผ ํ†ตํ•ด ๋‹ค์‹œ ์„ค์น˜ํ•˜์—ฌ ํ•ด๊ฒฐํ–ˆ์Šต๋‹ˆ๋‹ค.

conda install tensorflow-gpu

์ด๊ฒƒ์€ ์ €์—๊ฒŒ๋„ ํšจ๊ณผ๊ฐ€ ์žˆ์—ˆ๊ณ  pip๋กœ tensorflow๋ฅผ ์„ค์น˜ํ•œ ๋‹ค์Œ pip uninstall tensorflow-gpu ์‚ฌ์šฉํ•˜์—ฌ ์ œ๊ฑฐํ•œ ๋‹ค์Œ conda install tensorflow-gpu ์‚ฌ์šฉํ•˜์—ฌ ๋‹ค์‹œ ์„ค์น˜ํ–ˆ์Šต๋‹ˆ๋‹ค.

๋งˆ์ดํฌ๋กœ์†Œํ”„ํŠธ ์œˆ๋„์šฐ[๋ฒ„์ „ 6.3.9600]
(c) 2013 Microsoft Corporation. ํŒ๊ถŒ ์†Œ์œ .

C:\Users\Dell>ํŒŒ์ด์ฌ
Python 3.7.1(๊ธฐ๋ณธ๊ฐ’, 2018๋…„ 12์›” 10์ผ, 22:54:23) [MSC v.1915 64๋น„ํŠธ(AMD64)] :: Ana
conda, Inc. on win32
์ž์„ธํ•œ ๋‚ด์šฉ์„ ๋ณด๋ ค๋ฉด "๋„์›€๋ง", "์ €์ž‘๊ถŒ", "ํฌ๋ ˆ๋”ง" ๋˜๋Š” "๋ผ์ด์„ผ์Šค"๋ฅผ ์ž…๋ ฅํ•˜์‹ญ์‹œ์˜ค.

iimrt ํ…์„œํ”Œ๋กœ
ํŒŒ์ผ "", 1ํ–‰
iimrt ํ…์„œํ”Œ๋กœ
^^
SyntaxError: ์ž˜๋ชป๋œ ๊ตฌ๋ฌธ
ํ…์„œํ”Œ๋กœ ๊ฐ€์ ธ์˜ค๊ธฐ
์—ญ์ถ”์ (๊ฐ€์žฅ ์ตœ๊ทผ ํ˜ธ์ถœ ๋งˆ์ง€๋ง‰):
ํŒŒ์ผ "C:\Users\Dell\Anaconda3\lib\site-packagestensorflow\python\pywrap_tenso
rflow.py", 58ํ–‰,
tensorflow.python.pywrap_tensorflow_internal ๊ฐ€์ ธ์˜ค๊ธฐ์—์„œ *
ํŒŒ์ผ "C:\Users\Dell\Anaconda3\lib\site-packagestensorflow\python\pywrap_tenso
rflow_internal.py", 28ํ–‰, in
_pywrap_tensorflow_internal = swig_import_helper()
ํŒŒ์ผ "C:\Users\Dell\Anaconda3\lib\site-packagestensorflow\python\pywrap_tenso
rflow_internal.py", 24ํ–‰, swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, ๊ฒฝ๋กœ ์ด๋ฆ„, ์„ค๋ช…
์ด์˜จ)
load_module์˜ ํŒŒ์ผ "C:\Users\Dell\Anaconda3\lib\imp.py", 242ํ–‰
return load_dynamic(์ด๋ฆ„, ํŒŒ์ผ ์ด๋ฆ„, ํŒŒ์ผ)
load_dynamic์˜ ํŒŒ์ผ "C:\Users\Dell\Anaconda3\lib\imp.py", ์ค„ 342
๋ฐ˜ํ™˜ _load(์‚ฌ์–‘)
ImportError: DLL ๋กœ๋“œ ์‹คํŒจ: ์ง€์ •๋œ ๋ชจ๋“ˆ์„ ์ฐพ์„ ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค.

์œ„์˜ ์˜ˆ์™ธ๋ฅผ ์ฒ˜๋ฆฌํ•˜๋Š” ๋™์•ˆ ๋‹ค๋ฅธ ์˜ˆ์™ธ๊ฐ€ ๋ฐœ์ƒํ–ˆ์Šต๋‹ˆ๋‹ค.

์—ญ์ถ”์ (๊ฐ€์žฅ ์ตœ๊ทผ ํ˜ธ์ถœ ๋งˆ์ง€๋ง‰):
ํŒŒ์ผ "", 1ํ–‰, ์—์„œ
ํŒŒ์ผ "C:\Users\Dell\Anaconda3\lib\site-packagestensorflow__init__.py", ์ค„
24, ์—์„œ
tensorflow.python์—์„œ import pywrap_tensorflow # pylint: disable=unused-im
ํฌํŠธ
ํŒŒ์ผ "C:\Users\Dell\Anaconda3\lib\site-packagestensorflow\python__init__.py"
, 49ํ–‰, ์—์„œ
tensorflow.python์—์„œ ๊ฐ€์ ธ์˜ค๊ธฐ pywrap_tensorflow
ํŒŒ์ผ "C:\Users\Dell\Anaconda3\lib\site-packagestensorflow\python\pywrap_tenso
rflow.py", 74ํ–‰,
ImportError(msg) ๋ฐœ์ƒ
ImportError: ์—ญ์ถ”์ (๊ฐ€์žฅ ์ตœ๊ทผ ํ˜ธ์ถœ ๋งˆ์ง€๋ง‰):
ํŒŒ์ผ "C:\Users\Dell\Anaconda3\lib\site-packagestensorflow\python\pywrap_tenso
rflow.py", 58ํ–‰,
tensorflow.python.pywrap_tensorflow_internal ๊ฐ€์ ธ์˜ค๊ธฐ์—์„œ *
ํŒŒ์ผ "C:\Users\Dell\Anaconda3\lib\site-packagestensorflow\python\pywrap_tenso
rflow_internal.py", 28ํ–‰, in
_pywrap_tensorflow_internal = swig_import_helper()
ํŒŒ์ผ "C:\Users\Dell\Anaconda3\lib\site-packagestensorflow\python\pywrap_tenso
rflow_internal.py", 24ํ–‰, swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, ๊ฒฝ๋กœ ์ด๋ฆ„, ์„ค๋ช…
์ด์˜จ)
load_module์˜ ํŒŒ์ผ "C:\Users\Dell\Anaconda3\lib\imp.py", 242ํ–‰
return load_dynamic(์ด๋ฆ„, ํŒŒ์ผ ์ด๋ฆ„, ํŒŒ์ผ)
load_dynamic์˜ ํŒŒ์ผ "C:\Users\Dell\Anaconda3\lib\imp.py", ์ค„ 342
๋ฐ˜ํ™˜ _load(์‚ฌ์–‘)
ImportError: DLL ๋กœ๋“œ ์‹คํŒจ: ์ง€์ •๋œ ๋ชจ๋“ˆ์„ ์ฐพ์„ ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค.

๊ธฐ๋ณธ TensorFlow ๋Ÿฐํƒ€์ž„์„ ๋กœ๋“œํ•˜์ง€ ๋ชปํ–ˆ์Šต๋‹ˆ๋‹ค.

https://www.tensorflow.org/install/errors ์ฐธ์กฐ

๋ช‡ ๊ฐ€์ง€ ์ผ๋ฐ˜์ ์ธ ์ด์œ ์™€ ์†”๋ฃจ์…˜ ๋•Œ๋ฌธ์ž…๋‹ˆ๋‹ค. ์ „์ฒด ์Šคํƒ ์ถ”์  ํฌํ•จ
๋„์›€์„ ์š”์ฒญํ•  ๋•Œ ์ด ์˜ค๋ฅ˜ ๋ฉ”์‹œ์ง€ ์œ„์— ํ‘œ์‹œ๋ฉ๋‹ˆ๋‹ค.

>

ํ˜„์žฌ ์„ค์น˜ ํ”„๋กœ์„ธ์Šค๊ฐ€ ์—‰๋ง์ž…๋‹ˆ๋‹ค!

์—ฌ๊ธฐ ๊ธฐ์—ฌ์ž๋“ค ๋•๋ถ„์— ๋งˆ์นจ๋‚ด ์ž‘๋™ํ•˜๊ฒŒ ๋˜์—ˆ์Šต๋‹ˆ๋‹ค(์ œ ์ƒ๊ฐ์—๋Š”!)

๋‚˜๋Š” tensorflow ํŽ˜์ด์ง€์—์„œ ๋ชจ๋“  ์ผ๋ฐ˜ PIP ์„ค์น˜ ํ”„๋กœ์„ธ์Šค๋ฅผ ๋”ฐ๋ž๊ณ  ์ƒˆ๋กœ์šด Python 3.6 ํ™˜๊ฒฝ์ด ์žˆ๋Š” ์ƒˆ๋กœ์šด Windows 10 ๋ฐ์Šคํฌํƒ‘(Nvid GTX 1660) ๋ฐ Ananconda์—์„œ ์ด ์กฐํ•ฉ์œผ๋กœ ๋๋‚ฌ์Šต๋‹ˆ๋‹ค.

์‹ญ: 1.13.1
์ฟ ๋‹ค: 10.1
cuDNN: 7.5

๋˜ํ•œ ํ•„์š”์— ๋”ฐ๋ผ ํ•ด๋‹น ๋ผ์ด๋ธŒ๋Ÿฌ๋ฆฌ๋ฅผ ์ถ”๊ฐ€ํ•˜๋„๋ก ๋‚ด ์‹œ์Šคํ…œ PATH๋ฅผ ์—…๋ฐ์ดํŠธํ–ˆ์Šต๋‹ˆ๋‹ค(์ผ๋ถ€ CUDA ๊ฒฝ๋กœ๊ฐ€ ์ด๋ฏธ ๊ฑฐ๊ธฐ์— ๋‚˜ํƒ€๋‚ฌ์ง€๋งŒ ์•„๋งˆ๋„ ์ง€๊ธˆ ์„ค์น˜์˜ ์ผ๋ถ€๋กœ ํ‘œ์‹œ๋˜์ง€๋งŒ ์—ฌ๊ธฐ์— ์„ค๋ช…๋œ ๋Œ€๋กœ ํ•„์š”์— ๋”ฐ๋ผ ๋” ๋งŽ์€ ๊ฒฝ๋กœ๊ฐ€ ์ถ”๊ฐ€๋จ).

jupyter์—์„œ ๋‹ค์Œ์„ ์‹œ๋„ํ–ˆ์Šต๋‹ˆ๋‹ค.
ํ…์„œํ”Œ๋กœ๋ฅผ tf๋กœ ๊ฐ€์ ธ์˜ค๊ธฐ

๋ชจ๋“  ์‚ฌ๋žŒ์ด ๋ณด๋Š” ์˜ค๋ฅ˜๊ฐ€ ๋ฐœ์ƒํ–ˆ์Šต๋‹ˆ๋‹ค.
ImportError: DLL ๋กœ๋“œ ์‹คํŒจ: ์ง€์ •๋œ ๋ชจ๋“ˆ์„ ์ฐพ์„ ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค.

์†”๋ฃจ์…˜์— ๋Œ€ํ•œ ๋‚˜์˜ ์ฒซ ๋ฒˆ์งธ ์‹œ๋„๋Š” ํšจ๊ณผ๊ฐ€ ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค!

์œ„์˜ @oshadaamila ์˜ ์กฐ์–ธ์— ๋”ฐ๋ผ PiP ํ…์„œํ”Œ๋กœ๋ฅผ ์ œ๊ฑฐํ•˜๊ณ  Conda๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๋‹ค์‹œ ์„ค์น˜ํ–ˆ์Šต๋‹ˆ๋‹ค.

Conda๋Š” ๋‹ค์Œ ๋ฒ„์ „์„ ๊ฐ€์ ธ์™”์Šต๋‹ˆ๋‹ค.
์‹ญ: 1.13.1
์ฟ ๋‹ค: 10.0.130
cuDNN: 7.3

์ด์ œ ๊ฐ€์ ธ์˜ค๊ธฐ๊ฐ€ ์ž‘๋™ํ•˜๊ณ  ์ž‘์€ ์ฝ”๋“œ ํ…Œ์ŠคํŠธ๊ฐ€ ์ •์ƒ์ ์œผ๋กœ ์‹คํ–‰๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

a= tf.constant(4)
b=tf.constant(5)
์„ธ์…˜=tf.์„ธ์…˜()
c= a+b
print('ํ•ฉ= ', sess.run(c))

9์˜ ๋‹ต์„ ์ค€๋‹ค.

์‹œ์Šคํ…œ PATH ํ™˜๊ฒฝ์—์„œ ์•„๋ฌด ๊ฒƒ๋„ ๋ณ€๊ฒฝํ•˜์ง€ ์•Š์•˜์Šต๋‹ˆ๋‹ค. ๋ชจ๋“  ์ƒˆ๋กœ์šด CUDA ๋ฐ cuDNN์ด ์ด์ œ Anaconda3/pkgs ํด๋”์— ์„ค์น˜๋˜์–ด ํŒŒ์ด์ฌ ํ™˜๊ฒฝ์—์„œ ์šฐ์„ ์ ์œผ๋กœ ์ฐธ์กฐ๋˜๋Š” ๊ฒƒ ๊ฐ™์Šต๋‹ˆ๋‹ค.

Ananconda ํ™˜๊ฒฝ ์™ธ๋ถ€์—์„œ ์ž‘์—…์„ ์‹œ๋„ํ•˜๋ฉด ์˜ค๋ฅ˜๊ฐ€ ๋ฐœ์ƒํ•  ์ˆ˜ ์žˆ์ง€๋งŒ ์ง€๊ธˆ์€ ๊ทธ๋ ‡๊ฒŒ ํ•˜๋ ค๊ณ  ํ•ฉ๋‹ˆ๋‹ค.

ํ…์„œํ”Œ๋กœ์šฐ 1.31.1์˜ ๊ฒฝ์šฐ

ํ…์„œํ”Œ๋กœ์šฐ/configure.py

_DEFAULT_CUDA_VERSION = '10.0'   // see here

_DEFAULT_CUDA_PATH_WIN = ('C:/Program Files/NVIDIA GPU Computing '
                          'Toolkit/CUDA/v%s' % _DEFAULT_CUDA_VERSION)

# ...

def set_tf_cuda_version(environ_cp):
  """Set CUDA_TOOLKIT_PATH and TF_CUDA_VERSION."""
  ask_cuda_version = (
      'Please specify the CUDA SDK version you want to use. '
      '[Leave empty to default to CUDA %s]: ') % _DEFAULT_CUDA_VERSION

  # ...

  for _ in range(_DEFAULT_PROMPT_ASK_ATTEMPTS):
    # Configure the Cuda SDK version to use.
    tf_cuda_version = get_from_env_or_user_or_default(
        environ_cp, 'TF_CUDA_VERSION', ask_cuda_version, _DEFAULT_CUDA_VERSION)

  # ...

  environ_cp['TF_CUDA_VERSION'] = tf_cuda_version

๋”ฐ๋ผ์„œ ํ˜„์žฌ CUDA ๋ฒ„์ „์€ 10.0์ด์ง€๋งŒ NVIDIA๋Š” 10.1์„ ์ œ๊ณต ํ•˜๊ณ  CUDA10.0 ๋ฐ cudnn10.0์„ ์„ค์น˜ํ•œ ๋‹ค์Œ cmd๋ฅผ ๋‹ค์‹œ ์‹œ์ž‘ํ•ฉ๋‹ˆ๋‹ค.

์ด์ „ ๋ฒ„์ „์˜ ๊ฒฝ์šฐ https://developer.nvidia.com/cuda-toolkit-archive

์„ธ๋ถ€ ์ •๋ณด: https://blog.kenorizon.cn/note/tensorflow-installation.html

RTX์— CUDA 10.0์„ ์‚ฌ์šฉํ•ด์•ผ ํ•˜๋Š” ๊ฒฝ์šฐ pip install tensorflow-gpu==1.13.1-rc2๋ฅผ ์‹œ๋„ํ•˜์‹ญ์‹œ์˜ค. CUDA 10.0, cuDNN 7.5.0, python 3.6์ด ์žˆ๊ณ  ์ž‘๋™ํ•ฉ๋‹ˆ๋‹ค!

๋‚˜๋Š” cuda 10.1 (๋‚˜๋Š” tensorflow 2.0alpha btw๊ฐ€ ์žˆ์Œ)๊ณผ cudnn 7.5.0.56์„ ์„ค์น˜ํ•˜์—ฌ ์ด๊ฒƒ์„ ๊ณ ์ณค์Šต๋‹ˆ๋‹ค.
์ปดํ“จํ„ฐ๋ฅผ ๋‹ค์‹œ ์‹œ์ž‘ํ•˜๊ฑฐ๋‚˜ tensorflow-gpu ๊ฐ€์ ธ์˜ค๊ธฐ๊ฐ€ ์ž‘๋™ํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค.

TF 1.13.1 ๋ฐ CUDA 10.1์—์„œ ์œ ์‚ฌํ•œ ๋ฌธ์ œ๋ฅผ ๊ด€์ฐฐํ–ˆ์Šต๋‹ˆ๋‹ค. CUDA 10.1์„ ์ œ๊ฑฐํ•˜๊ณ  CUDA 10.0์„ ์„ค์น˜ํ•˜์—ฌ ์ˆ˜์ •ํ–ˆ์Šต๋‹ˆ๋‹ค.

๋‚˜๋Š” ๊ฐ™์€ ๋ฌธ์ œ๊ฐ€ ์žˆ์—ˆ๊ณ  CUDA 10.0์œผ๋กœ ๋‹ค์šด ๊ทธ๋ ˆ์ด๋“œํ•˜๋ฉด ํ•ด๊ฒฐ๋˜์—ˆ์Šต๋‹ˆ๋‹ค (tensorflow 1.13.1, GTX 1080ti)

CUDA 10.0์˜ ๊ฒฝ์šฐ CUDA 10.0 ๋ฐ cuDNN 7.5๋กœ ๋‹ค์šด๊ทธ๋ ˆ์ด๋“œํ•˜์—ฌ ํ•ด๊ฒฐ๋จ

CUDA 10.0, cuDNN v7.5.0.56, Python 3.6.7 ๋ฐ tensorflow 1.13.1๋กœ ๋‹ค์šด๊ทธ๋ ˆ์ด๋“œํ•˜์—ฌ ํ•ด๊ฒฐ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

์ด ์กฐํ•ฉ์„ ์‚ฌ์šฉํ•˜๋ ค๋Š” ๊ฒฝ์šฐ ์ด์ „ ๋ฒ„์ „์˜ tensorflow ๋ฐ CUDA๋ฅผ ์ง€์šฐ๊ฑฐ๋‚˜ ์ œ๊ฑฐํ•˜๋Š” ๊ฒƒ์„ ์žŠ์ง€ ๋งˆ์‹ญ์‹œ์˜ค. Python 3.7์ด ์žˆ๊ณ  tensorflow 1.13.1 ๋˜๋Š” ๋” ๋‚ฎ์€ ๋ฒ„์ „์„ ์„ค์น˜ํ•˜๋ ค๊ณ  ํ•˜๋ฉด ํ˜„์žฌ๋กœ์„œ๋Š” Python 3.7์„ ์ง€์›ํ•˜๋Š” tensorflow ๋ฒ„์ „์ด ์—†๊ธฐ ๋•Œ๋ฌธ์— ์ž‘๋™ํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค. Python 3.7์„ ์ œ๊ฑฐํ•˜๊ณ  ์ƒˆ๋กœ ์‹œ์ž‘ํ•˜์‹ญ์‹œ์˜ค.

์•ˆ๋…•ํ•˜์„ธ์š”, @utkalsinha ์†Œ์Šค ์ฝ”๋“œ์—์„œ tensorflow๋ฅผ ์„ค์น˜ํ•˜์…จ์Šต๋‹ˆ๊นŒ? CUDA 10.0, cuDNN v7.5.0.56, Python 3.6.6 ๋ฐ tensorflow 1.13.1์—์„œ tensorflow ์†Œ์Šค ์ฝ”๋“œ๋ฅผ ์ปดํŒŒ์ผํ–ˆ์ง€๋งŒ ์‹คํŒจํ–ˆ์Šต๋‹ˆ๋‹ค. ์šฐ๋ฆฌ ์‚ฌ์ด์˜ ์œ ์ผํ•œ ์ฐจ์ด์ ์€ ๋‚˜๋Š” Python3.6.6์„ ์‚ฌ์šฉํ•˜๊ณ  ๋‹น์‹ ์€ Python3.6.7์„ ์‚ฌ์šฉํ•œ๋‹ค๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค.

CUDA ๋ฐ cuDNN์— ๋Œ€ํ•œ ํ™˜๊ฒฝ ๋ณ€์ˆ˜๋ฅผ ์ถ”๊ฐ€ํ•˜๋Š” ๊ฒƒ์„ ์žŠ์ง€ ๋งˆ์‹ญ์‹œ์˜ค.
SET ๊ฒฝ๋กœ=C:\Program Files\NVIDIA GPU ์ปดํ“จํŒ… ํˆดํ‚ท\CUDA\v10.0\bin;%PATH%
SET ๊ฒฝ๋กœ=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\extras\CUPTI\libx64;%PATH%
SET ๊ฒฝ๋กœ=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\include;%PATH%
SET ๊ฒฝ๋กœ=C:\toolscuda\bin;%PATH%

๊ฐ™์€ ๋ฌธ์ œ๊ฐ€ ๋ฐœ์ƒํ–ˆ์Šต๋‹ˆ๋‹ค. ์ผ์ฃผ์ผ ํ›„ ๋ชจ๋“  ํ›„ํฌ ๋ฐ ์‚ฌ๊ธฐ๊พผ์„ ์ ์šฉํ•œ ํ›„ ... Windows Defender๋ฅผ ๋น„ํ™œ์„ฑํ™”ํ•˜๊ณ  ์ž‘๋™ํ–ˆ์Šต๋‹ˆ๋‹ค.

์•ˆ๋…•ํ•˜์„ธ์š”, @utkalsinha ์†Œ์Šค ์ฝ”๋“œ์—์„œ tensorflow๋ฅผ ์„ค์น˜ํ•˜์…จ์Šต๋‹ˆ๊นŒ? CUDA 10.0, cuDNN v7.5.0.56, Python 3.6.6 ๋ฐ tensorflow 1.13.1์—์„œ tensorflow ์†Œ์Šค ์ฝ”๋“œ๋ฅผ ์ปดํŒŒ์ผํ–ˆ์ง€๋งŒ ์‹คํŒจํ–ˆ์Šต๋‹ˆ๋‹ค. ์šฐ๋ฆฌ ์‚ฌ์ด์˜ ์œ ์ผํ•œ ์ฐจ์ด์ ์€ ๋‚˜๋Š” Python3.6.6์„ ์‚ฌ์šฉํ•˜๊ณ  ๋‹น์‹ ์€ Python3.6.7์„ ์‚ฌ์šฉํ•œ๋‹ค๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค.

@asa008 : ์•„๋‹ˆ์š”. pip๋ฅผ ํ†ตํ•ด tensorflow-gpu๋ฅผ pip install tensorflow-gpu==1.13.1 ๋กœ ์ง์ ‘ ์„ค์น˜ํ–ˆ์Šต๋‹ˆ๋‹ค.

์‹œ๊ฐ„์„ ๋ณด๋‚ธ ํ›„ tensorflow==2.0.0-alpha0 ์— ๋Œ€ํ•ด Windows 10์—์„œ ๋‹ค์Œ์„ ์„ค์น˜ํ•˜์‹ญ์‹œ์˜ค.

  1. ํŒŒ์ด์ฌ 3.6
  2. ์ฟ ๋‹ค v10.0
  3. ์ปค๋“œ 7.4.1.5

์‹œ๊ฐ„์„ ๋ณด๋‚ธ ํ›„ tensorflow==2.0.0-alpha0 ์— ๋Œ€ํ•ด Windows 10์—์„œ ๋‹ค์Œ์„ ์„ค์น˜ํ•˜์‹ญ์‹œ์˜ค.

  1. ํŒŒ์ด์ฌ 3.6
  2. ์ฟ ๋‹ค v10.0
  3. ์ปค๋“œ 7.4.1.5

๋™์ผํ•œ CUDA ๋ฐ cuDNN๊ณผ ํ•จ๊ป˜ Python 3.7.3์„ ์‚ฌ์šฉํ–ˆ์ง€๋งŒ ๋™์ผํ•œ DLL ์˜ค๋ฅ˜๊ฐ€ ๋ฐœ์ƒํ–ˆ์Šต๋‹ˆ๋‹ค.

๋‚ด ๊ฒฝํ—˜์— ๋”ฐ๋ฅด๋ฉด(๋งŽ์€ ์‹œํ–‰ ์ฐฉ์˜ค ๋์—) Windows์—์„œ GUI ๊ธฐ๋ฐ˜ ํŽธ์ง‘๊ธฐ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ CUDA ๊ฒฝ๋กœ๋ฅผ ์„ค์ •ํ•˜๋Š” ๊ฒƒ์ด ๊ฐ€์žฅ ์ข‹์Šต๋‹ˆ๋‹ค.

๋‚ด ์„ค์ •์€ ๋‹ค์Œ๊ณผ ๊ฐ™์Šต๋‹ˆ๋‹ค.

  1. ์ฟ ๋‹ค 10.0
  2. ์ตœ์‹  cudnn ์‚ฌ์šฉ ๊ฐ€๋Šฅ(Nvidia ์‚ฌ์ดํŠธ์˜ ์ง€์นจ์„ ๋”ฐ๋ฅด์‹ญ์‹œ์˜ค)
  3. Windows์—์„œ ํ™˜๊ฒฝ ๋ณ€์ˆ˜ ํŽธ์ง‘๊ธฐ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๊ฒฝ๋กœ ์„ค์ •.
    --> ๋‚ด ๊ฒฝํ—˜์ƒ ๋ช…๋ น์ค„์—์„œ "SET PATH..."๋ฅผ ์‚ฌ์šฉํ•˜๋ฉด ์—ฌ์ „ํžˆ ์ƒˆ ๊ฒฝ๋กœ๋ฅผ ์žŠ์–ด๋ฒ„๋ฆฝ๋‹ˆ๋‹ค.
    --> Tensorflow๋ฅผ ์„ค์น˜ํ•˜๊ธฐ ์ „์— PC๋„ ๋‹ค์‹œ ์‹œ์ž‘ํ–ˆ์Šต๋‹ˆ๋‹ค.
  4. ํ…์„œํ”Œ๋กœ v1.13
  5. Python 3.6์ด ์žˆ๋Š” conda ํ™˜๊ฒฝ

๋‚˜๋Š” tensorflow alpha์—์„œ ์ด๊ฒƒ์„ ์‹œ๋„ํ•˜์ง€ ์•Š์•˜์Šต๋‹ˆ๋‹ค. ๋ฐ”๋ผ๊ฑด๋Œ€ ๋™์ผํ•˜๊ฒŒ ์ž‘๋™ํ•ฉ๋‹ˆ๋‹ค.

๋‚ด Windows 10 ์ปดํ“จํ„ฐ์—์„œ ์—ฌ๋Ÿฌ ์กฐํ•ฉ์„ ํ…Œ์ŠคํŠธํ•œ ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™์Šต๋‹ˆ๋‹ค.
๋ถˆํ•ฉ๊ฒฉ
ํ…์„œํ”Œ๋กœ์šฐ-gpu==r1.13
ํŒŒ์ด์ฌ 3.7.3
์ฟ ๋‹ค v10.1
cudnn 7.5.0.56

๋ถˆํ•ฉ๊ฒฉ
ํ…์„œํ”Œ๋กœ์šฐ-gpu==2.0.0-alpha0
ํŒŒ์ด์ฌ 3.7.3
์ฟ ๋‹ค v10.1
cudnn 7.5.0.56

๋ถˆํ•ฉ๊ฒฉ
ํ…์„œํ”Œ๋กœ์šฐ-gpu==2.0.0-alpha0
ํŒŒ์ด์ฌ 3.6.8
์ฟ ๋‹ค v10.1
cudnn 7.5.0.56

์„ฑ๊ณต
ํ…์„œํ”Œ๋กœ์šฐ-gpu==2.0.0-alpha0
ํŒŒ์ด์ฌ 3.6.8
์ฟ ๋‹ค v10.0
์ปค๋“œ 7.4.1.5

์ด ๋ฌธ์ œ๊ฐ€ ์žˆ๋Š” ๊ฒฝ์šฐ lib๋ฅผ tensorflow-gpu==1.10.0์œผ๋กœ ๋‹ค์šด๊ทธ๋ ˆ์ด๋“œํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ํ˜„์žฌ ์ƒ์œ„ ๋ฒ„์ „์—๋Š” ๋ฌธ์ œ๊ฐ€ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด ๋ฌธ์ œ๋Š” Windows์—์„œ ์ผ๋ฐ˜์ ์ž…๋‹ˆ๋‹ค.
PD. ๊ทธ ํ›„์— ์ด ๋ผ์ด๋ธŒ๋Ÿฌ๋ฆฌ๋ฅผ ์˜ฌ๋ฐ”๋ฅด๊ฒŒ ์‚ฌ์šฉํ•˜๋ ค๋ฉด CUDA๊ฐ€ ํ•„์š”ํ•ฉ๋‹ˆ๋‹ค.

Linux์—์„œ๋Š” tensorflow ์ƒ์œ„ ๋ฒ„์ „์ด ํ›จ์”ฌ ๋” ์•ˆ์ •์ ์ž…๋‹ˆ๊นŒ?

๋„์™€์ฃผ์„ธ์š”

๊ฒฝ๊ณ :tensorflow :From C:\Users\HP\Anaconda3\envstensorflow\lib\site-packagestensorflow\python\training\saver.py:1266: checkpoint_exists(tensorflow.python.training.checkpoint_management์—์„œ)๋Š” ๋” ์ด์ƒ ์‚ฌ์šฉ๋˜์ง€ ์•Š์œผ๋ฉฐ ๋‹ค์Œ์—์„œ ์ œ๊ฑฐ๋ฉ๋‹ˆ๋‹ค. ๋ฏธ๋ž˜ ๋ฒ„์ „.

...\Python37\Lib\site-packagestensorflow\python\_pywrap_tensorflow_internal.pyd use Dependency Walker ๋ฅผ ์—ด๋ฉด DLL ์ข…์†์„ฑ ํŠธ๋ฆฌ๊ฐ€ ํ‘œ์‹œ๋˜๊ณ  ๋ฌธ์ œ๋ฅผ ์ผ์œผํ‚ค๋Š” DLL์„ ์ฐพ์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. TensorFlow๋Š” ํ•ญ์ƒ ํŠน์ • CUDA ๋ฒ„์ „์— ์—ฐ๊ฒฐ๋ฉ๋‹ˆ๋‹ค.

์—ฌ๊ธฐ๋„ ๋งˆ์ฐฌ๊ฐ€์ง€์ž…๋‹ˆ๋‹ค. Win10 Pro x64, Python 3.6.8, Tensorflow-gpu 1.13.1, cuDNN 7.5.1.10, CUDA 10.1, ๋“œ๋ผ์ด๋ฒ„ 430.64
image

๋‚ด ์„ค์น˜:

์œˆ๋„์šฐ 10.0.17763.134 x64
NVIDIA ๋“œ๋ผ์ด๋ฒ„ 416.92
์ฟ ๋‹ค 10.0.130
CUDA 10.0์šฉ CUDNN 7.4.1.5
ํŒŒ์ด์ฌ 3.6.7
์ง€ํฌ์Šค GTX 1080 Ti

์ด ์˜ค๋ฅ˜์˜ ์›์ธ์€ Tcl/Tk ์ง€์› ์—†์ด Python์„ ์„ค์น˜ํ•˜๋Š” ์‚ฌ๋žŒ๋“ค์ด SWIG ๋ฐ ๋ชจ๋“ˆ ๊ฐ€์ ธ์˜ค๊ธฐ์— Tcl์ด ํ•„์š”ํ•˜๋‹ค๋Š” ๊ฒƒ์„ ๊นจ๋‹ซ์ง€ ๋ชปํ•˜๋Š” ๊ฒƒ ๊ฐ™์Šต๋‹ˆ๋‹ค. ๋ฐฉ๊ธˆ ์ด๊ฒƒ์„ ํ…Œ์ŠคํŠธํ–ˆ๊ณ  ์ œ ๊ฒฝ์šฐ์—๋Š” Tcl/Tk๋ฅผ ์ถ”๊ฐ€ํ•˜๊ธฐ ์œ„ํ•ด Python ์„ค์น˜๋ฅผ ์ˆ˜์ •ํ•˜๋Š” ๊ฒƒ๋งŒ์œผ๋กœ๋Š” ์ถฉ๋ถ„ํ•˜์ง€ ์•Š์•˜์Šต๋‹ˆ๋‹ค. ๋ชจ๋“  ๊ฒƒ์„ ์‚ญ์ œํ•˜๊ณ  ์ฒ˜์Œ๋ถ€ํ„ฐ ์„ค์น˜ํ•ด์•ผ ํ–ˆ์ง€๋งŒ ์ด์ œ ๋” ์ด์ƒ ์˜ค๋ฅ˜๊ฐ€ ๋ฐœ์ƒํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค.

TL;DR -- Tcl/Tk ์˜ต์…˜์„ ์„ ํƒํ•œ ์ƒํƒœ์—์„œ Python์„ ์™„์ „ํžˆ ์ œ๊ฑฐํ•˜๊ณ  ๋‹ค์‹œ ์„ค์น˜ํ•˜์‹ญ์‹œ์˜ค.

@levicki cuda ๋ฐ cudnn ๋ฒ„์ „์„ ๊ธฐ๋ฐ˜์œผ๋กœ tf ๊ณต์‹ ์›น์‚ฌ์ดํŠธ์— ๋”ฐ๋ผ ๊ฒฝ๋กœ๋„ ์„ค์ •ํ–ˆ์Šต๋‹ˆ๋‹ค.
SET ๊ฒฝ๋กœ=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\bin;%PATH% SET ๊ฒฝ๋กœ=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\extras\CUPTI\libx64 ;%PATH% SET PATH=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\include;%PATH% SET PATH=C:\toolscuda\bin;%PATH% (C์—์„œ ๋„๊ตฌ๋ฅผ ์ฐพ์„ ์ˆ˜ ์—†์Œ , ์ด๊ฒƒ์„ ๋ฌด์‹œํ•˜์‹ญ์‹œ์˜ค)
๋‚ด ๊ตฌ์„ฑ์€ ๋‹ค์Œ๊ณผ ๊ฐ™์ด tensorflow2 alpha๋ฅผ ์„ฑ๊ณต์ ์œผ๋กœ ์„ค์น˜ํ–ˆ์Šต๋‹ˆ๋‹ค.

์œˆ๋„์šฐ 10.0.17763.134 x64
NVIDIA ๋“œ๋ผ์ด๋ฒ„ 416.92
์ฟ ๋‹ค 10.0.130
CUDA 10.0์šฉ CUDNN 7.4.1.5
ํŒŒ์ด์ฌ 3.5.2
์ง€ํฌ์Šค ํƒ€์ดํƒ„ x4

์—ฌ์ „ํžˆ ์ž‘๋™ํ•˜์ง€ ์•Š์œผ๋ฉด ๋ฒ ๊ฐœ๋„ ๋‹ค์‹œ ์„ค์น˜ํ•œ ๋‹ค์Œ tf2๋ฅผ ๋‹ค์‹œ ์„ค์น˜ํ•ฉ๋‹ˆ๋‹ค. ๋„์›€์ด ๋˜๊ธฐ๋ฅผ ๋ฐ”๋ž๋‹ˆ๋‹ค.

์—ฌ๊ธฐ๋„ ๋งˆ์ฐฌ๊ฐ€์ง€์ž…๋‹ˆ๋‹ค. Win10 Pro x64, Python 3.6.8, Tensorflow-gpu 1.13.1, cuDNN 7.5.1.10, CUDA 10.1, ๋“œ๋ผ์ด๋ฒ„ 430.64
image

10.1์ด ์•„๋‹Œ CUDA 10.0์„ ์‚ฌ์šฉํ•ด์•ผ ํ•  ์ˆ˜๋„ ์žˆ์Šต๋‹ˆ๋‹ค. ๋‚ด PC์—์„œ ์ด ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ–ˆ์Šต๋‹ˆ๋‹ค. ๋‹ค์Œ๊ณผ ๊ฐ™์ด Dependency Walker๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ํ™•์ธํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
image

์›๋ž˜ CUDA 9 ์ž‘๋™ํ•˜๊ณ  tensorflow-gpu 1.13.1 ์—…๋ฐ์ดํŠธํ–ˆ๋Š”๋ฐ DLL์„ ์ฐพ์„ ์ˆ˜ ์—†๋‹ค๊ณ  ๋ณด๊ณ ํ–ˆ์Šต๋‹ˆ๋‹ค.
๊ทธ๋Ÿฐ ๋‹ค์Œ tensorflow-gpu ๋ฅผ ์—ฌ๋Ÿฌ ๋ฒ„์ „์œผ๋กœ ๋‹ค์šด๊ทธ๋ ˆ์ด๋“œํ•˜๋ ค๊ณ  ์‹œ๋„ํ–ˆ์ง€๋งŒ ์—ฌ์ „ํžˆ DLL์„ ์ฐพ์„ ์ˆ˜ ์—†๋‹ค๊ณ  ๋ณด๊ณ ํ–ˆ์Šต๋‹ˆ๋‹ค.
๊ทธ๋Ÿฐ ๋‹ค์Œ CUDA10.1 update1 ๋ฐ cudnn 7.5.1.10 (๋‘˜ ๋‹ค ์ตœ์‹  ๋ฒ„์ „)๋ฅผ ์—…๋ฐ์ดํŠธํ–ˆ๋Š”๋ฐ DLL์„ ์ฐพ์„ ์ˆ˜ ์—†๋‹ค๊ณ  ๋ณด๊ณ ํ–ˆ์Šต๋‹ˆ๋‹ค.
๊ทธ๋Ÿฐ ๋‹ค์Œ tensorflow-gpu ๋‹ค์šด๊ทธ๋ ˆ์ด๋“œ๋ฅผ ์‹œ๋„ํ–ˆ์ง€๋งŒ ์—ฌ์ „ํžˆ DLL์„ ์ฐพ์„ ์ˆ˜ ์—†๋‹ค๊ณ  ๋ณด๊ณ ํ–ˆ์Šต๋‹ˆ๋‹ค.
๊ทธ๋Ÿฐ ๋‹ค์Œ dependency Walker ์„ ์‚ฌ์šฉํ•˜์ง€๋งŒ ์ด ์•ฑ์€ ์—ด ๋•Œ ๋ฉˆ์ท„์Šต๋‹ˆ๋‹ค(์ €๋Š” win10์„ ์‚ฌ์šฉํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค).
๊ทธ๋Ÿผ ๋ณต์‚ฌ dependency Walker ๋ฐ _pywrap_tensorflow_internal.pyd ํ•˜๋Š” WIN7 ์žฅ์น˜๊ฐ€์— ์ข…์†์„ฑ์„ ํ•„์š”๋กœ ํ™•์ธ CUBLAXX_100.DLL .
๊ทธ๋Ÿฐ ๋‹ค์Œ CUDA10.0์„ ์„ค์น˜ํ–ˆ๊ณ  ์ž‘๋™ํ•ฉ๋‹ˆ๋‹ค.

๋‚˜๋Š” tensorflow-gpu๋ฅผ ์„ค์น˜ํ•  ๋•Œ๋งˆ๋‹ค ์ข‹์€ ๊ฒฝํ—˜์ด ์•„๋‹ˆ๋ผ๊ณ  ๋งํ•  ๊ฒƒ์ž…๋‹ˆ๋‹ค.
๋‹จ์ˆœํ•œ DLL missing ๊ฐ€ ์•„๋‹Œ ๋ช…ํ™•ํ•œ ๋ฉ”์‹œ์ง€์™€ ์ œ์•ˆ์ด ํ•„์š”ํ•ฉ๋‹ˆ๋‹ค

+1. qinst64์™€ ๊ฐ™์€ ๋ฌธ์ œ์ž…๋‹ˆ๋‹ค.

์•„๋ฌด๋„ ๋‚˜์—๊ฒŒ cuda 10.0 ์‚ฌ๋ณธ์„ ์ค„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๊นŒ? cuda 10.0์€ ์‚ญ์ œ๋˜์—ˆ์œผ๋ฉฐ ๊ณต์‹ ์‚ฌ์ดํŠธ์—์„œ๋Š” 10.1 ๋ฒ„์ „๋งŒ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.๊ฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค!

๋‚ด ์‹œ์Šคํ…œ์ด windows10์ด๋ผ๋Š” ๊ฒƒ์„ ์žŠ์ง€ ๋งˆ์‹ญ์‹œ์˜ค. ๊ฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค!

์˜ค, ์ฐพ์•˜์Šต๋‹ˆ๋‹ค. ๋ˆ„๊ตฌ๋“ ์ง€ ๋„์›€์„ ๋ฐ›์„ ์ˆ˜ ์žˆ๊ธฐ๋ฅผ ๋ฐ”๋ž๋‹ˆ๋‹ค!
https://developer.nvidia.com/cuda-toolkit-archive

๋‚˜๋Š” ๊ฐ™์€ ๋ฌธ์ œ์— ์ง๋ฉดํ•˜์—ฌ ๋‹จ์ˆœํžˆ cudnn์„ ์„ค์น˜ํ•˜์ง€ ์•Š์€ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ์Šต๋‹ˆ๋‹ค (CUDA๋ฅผ ์„ค์น˜ํ•˜๋ฉด ํฌํ•จ๋  ๊ฒƒ์ด๋ผ๊ณ  ์ƒ๊ฐํ–ˆ์ง€๋งŒ ๊ทธ๋ ‡์ง€ ์•Š์€ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ์Šต๋‹ˆ๋‹ค)
์„ค์น˜ ๊ฐ€์ด๋“œ๋Š” ์—ฌ๊ธฐ ์—์„œ ์ฐพ์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค

@ymodak ๊ฐ€๋Šฅํ•œ ๋ชจ๋“  Python+CUDA+cuDNN ๋ฒ„์ „์— ๋Œ€ํ•ด tensorflow ๋นŒ๋“œ๋ฅผ ์ œ๊ณตํ•˜๋Š” ๊ฒƒ์ด ๋ถˆ๊ฐ€๋Šฅํ•ด ๋ณด์ด๊ธฐ ๋•Œ๋ฌธ์— ์ตœ์†Œํ•œ ๋‹ค์Œ์„ ํฌํ•จํ•˜๋„๋ก ์˜ค๋ฅ˜ ๋ฉ”์‹œ์ง€๋ฅผ ๊ฐœ์„ ํ•˜๋Š” ๊ฒƒ์„ ๊ณ ๋ คํ•˜์‹œ๊ฒ ์Šต๋‹ˆ๊นŒ?

  1. ๋™์ ์œผ๋กœ ๋กœ๋“œํ•˜๋Š” ๊ฒฝ์šฐ ์ฐพ์„ ์ˆ˜ ์—†๋Š” DLL์˜ ์ด๋ฆ„

๋˜๋Š”:

  1. ๋ถˆ๋งŒ์กฑ์Šค๋Ÿฌ์šด ์ข…์†์„ฑ ์ฒด์ธ์œผ๋กœ ์ธํ•ด ๋กœ๋“œ์— ์‹คํŒจํ•œ ์ •์ ์œผ๋กœ ๋กœ๋“œ๋œ DLL์˜ ์ด๋ฆ„์€ ๋ฌด์—‡์ž…๋‹ˆ๊นŒ?

์„ฑ๊ณต
ํ…์„œํ”Œ๋กœ์šฐ-gpu==1.10.0
ํŒŒ์ด์ฌ 3.6.8
์ฟ ๋‹ค v9.0
์ปค๋“œ 7.6.0
์ด๊ฒƒ์€ ๋งˆ์นจ๋‚ด ๋‚ด autokeras ์„ค์น˜ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ–ˆ์Šต๋‹ˆ๋‹ค.

์„ฑ๊ณต

Radeon ๊ทธ๋ž˜ํ”ฝ ์นด๋“œ์— cuda์™€ cudnn์„ ์„ค์น˜ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๊นŒ?

2019๋…„ 4์›” 6์ผ ํ† ์š”์ผ ์˜คํ›„ 10์‹œ 22๋ถ„ Jed Baxter, ์•Œ๋ฆผ @github.com ์ž‘์„ฑ:

ํ˜„์žฌ ์„ค์น˜ ํ”„๋กœ์„ธ์Šค๊ฐ€ ์—‰๋ง์ž…๋‹ˆ๋‹ค!

์—ฌ๊ธฐ ๊ธฐ์—ฌ์ž ๋•๋ถ„์— ๋งˆ์นจ๋‚ด ์ž‘๋™ํ•˜๊ฒŒ ๋˜์—ˆ์Šต๋‹ˆ๋‹ค(๋‚˜๋Š”
์ƒ๊ฐํ•œ๋‹ค!)

tensorflow์˜ ๋ชจ๋“  ์ผ๋ฐ˜ PIP ์„ค์น˜ ํ”„๋กœ์„ธ์Šค๋ฅผ ๋”ฐ๋ž์Šต๋‹ˆ๋‹ค.
ํŽ˜์ด์ง€์— ์žˆ์—ˆ๊ณ  ๋‚ด ์ƒˆ Windows 10 ๋ฐ์Šคํฌํƒ‘์—์„œ ์ด ์กฐํ•ฉ์œผ๋กœ ๋๋‚ฌ์Šต๋‹ˆ๋‹ค.
(Nvid GTX 1660):

์‹ญ: 1.13.1
์ฟ ๋‹ค: 10.1
cuDNN: 7.5

๋˜ํ•œ ํ•„์š”์— ๋”ฐ๋ผ ํ•ด๋‹น ๋ผ์ด๋ธŒ๋Ÿฌ๋ฆฌ๋ฅผ ์ถ”๊ฐ€ํ•˜๋„๋ก ๋‚ด ์‹œ์Šคํ…œ PATH๋ฅผ ์—…๋ฐ์ดํŠธํ–ˆ์Šต๋‹ˆ๋‹ค(๋น„๋ก
์ผ๋ถ€ CUDA ๊ฒฝ๋กœ๋Š” ์ด๋ฏธ ๊ฑฐ๊ธฐ์— ๋‚˜ํƒ€๋‚ฌ์Šต๋‹ˆ๋‹ค.
์ง€๊ธˆ ์„ค์น˜ํ•˜์ง€๋งŒ ์—ฌ๊ธฐ์— ์„ค๋ช…๋œ ๋Œ€๋กœ ํ•„์š”์— ๋”ฐ๋ผ ๋” ๋งŽ์€ ๊ฒฝ๋กœ๊ฐ€ ์ถ”๊ฐ€๋˜์—ˆ์Šต๋‹ˆ๋‹ค.
https://www.tensorflow.org/install/gpu#windows_setup ).

jupyter์—์„œ ๋‹ค์Œ์„ ์‹œ๋„ํ–ˆ์Šต๋‹ˆ๋‹ค.
ํ…์„œํ”Œ๋กœ๋ฅผ tf๋กœ ๊ฐ€์ ธ์˜ค๊ธฐ

๋ชจ๋“  ์‚ฌ๋žŒ์ด ๋ณด๋Š” ์˜ค๋ฅ˜๊ฐ€ ๋ฐœ์ƒํ–ˆ์Šต๋‹ˆ๋‹ค.
ImportError: DLL ๋กœ๋“œ ์‹คํŒจ: ์ง€์ •๋œ ๋ชจ๋“ˆ์„ ์ฐพ์„ ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค.

์†”๋ฃจ์…˜์— ๋Œ€ํ•œ ๋‚˜์˜ ์ฒซ ๋ฒˆ์งธ ์‹œ๋„๋Š” ํšจ๊ณผ๊ฐ€ ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค!

@oshadaamila https://github.com/oshadaamila ์˜ ์กฐ์–ธ์— ๋”ฐ๋ผ
~ ์œ„์—
https://github.com/tensorflow/tensorflow/issues/22794#issuecomment-478855387
PiP tensorflow๋ฅผ ์ œ๊ฑฐํ•˜๊ณ  Conda๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๋‹ค์‹œ ์„ค์น˜ํ–ˆ์Šต๋‹ˆ๋‹ค.

Conda๋Š” ๋‹ค์Œ ๋ฒ„์ „์„ ๊ฐ€์ ธ์™”์Šต๋‹ˆ๋‹ค.
์‹ญ: 1.13.1
์ฟ ๋‹ค: 10.0.130
cuDNN: 7.3

์ด์ œ ๊ฐ€์ ธ์˜ค๊ธฐ๊ฐ€ ์ž‘๋™ํ•˜๊ณ  ์ž‘์€ ์ฝ”๋“œ ํ…Œ์ŠคํŠธ๊ฐ€ ์ •์ƒ์ ์œผ๋กœ ์‹คํ–‰๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

a= tf.constant(4)
b=tf.constant(5)
์„ธ์…˜=tf.์„ธ์…˜()
c= a+b
print('ํ•ฉ= ', sess.run(c))

9์˜ ๋‹ต์„ ์ค€๋‹ค.

์‹œ์Šคํ…œ PATH ํ™˜๊ฒฝ์—์„œ ์•„๋ฌด ๊ฒƒ๋„ ๋ณ€๊ฒฝํ•˜์ง€ ์•Š์•˜์Šต๋‹ˆ๋‹ค. ๋ชจ๋“  ๊ฒƒ์ด ์ƒˆ๋กœ์›Œ์กŒ์Šต๋‹ˆ๋‹ค.
CUDA ๋ฐ cuDNN์€ ์ด์ œ Anaconda3/pkgs ํด๋”์— ์„ค์น˜๋˜์–ด
ํŒŒ์ด์ฌ ํ™˜๊ฒฝ์—์„œ ์šฐ์„ ์ ์œผ๋กœ ์ฐธ์กฐ๋ฉ๋‹ˆ๋‹ค.

์™ธ๋ถ€์—์„œ ์ž‘์—…์„ ์‹œ๋„ํ•˜๋ฉด ์˜ค๋ฅ˜๊ฐ€ ๋ฐœ์ƒํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
Ananconda ํ™˜๊ฒฝ์ด์ง€๋งŒ ์ง€๊ธˆ์€ ๊ทธ๋ ‡๊ฒŒํ•˜๋ ค๊ณ ํ•ฉ๋‹ˆ๋‹ค.

โ€”
๋‹น์‹ ์ด ๋Œ“๊ธ€์„ ๋‹ฌ์•˜๊ธฐ ๋•Œ๋ฌธ์— ์ด๊ฒƒ์„ ๋ฐ›๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค.
์ด ์ด๋ฉ”์ผ์— ์ง์ ‘ ๋‹ต์žฅํ•˜๊ณ  GitHub์—์„œ ํ™•์ธํ•˜์„ธ์š”.
https://github.com/tensorflow/tensorflow/issues/22794#issuecomment-480519001 ,
๋˜๋Š” ์Šค๋ ˆ๋“œ ์Œ์†Œ๊ฑฐ
https://github.com/notifications/unsubscribe-auth/Auda9lPIPF0BJa_NUNfnkhqoHPcvmTwCks5veNC2gaJpZM4XLOd-
.

๋ผ๋ฐ์˜จ ๊ทธ๋ž˜ํ”ฝ ์นด๋“œ์— cuda๋ฅผ ์„ค์น˜ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๊นŒ?

2019๋…„ 4์›” 14์ผ ์ผ์š”์ผ, ์˜ค์ „ 8:38 Utkal Sinha, [email protected]
์ผ๋‹ค:

CUDA 10.0, cuDNN v7.5.0.56, Python 3.6.7 ๋ฐ
ํ…์„œํ”Œ๋กœ 1.13.1.

tensorflow์˜ ์ด์ „ ๋ฒ„์ „์„ ์ง€์šฐ๊ฑฐ๋‚˜ ์ œ๊ฑฐํ•˜๋Š” ๊ฒƒ์„ ์žŠ์ง€ ๋งˆ์‹ญ์‹œ์˜ค.
์ด ์กฐํ•ฉ์„ ์‹œ๋„ํ•˜๋Š” ๊ฒฝ์šฐ CUDA. Python 3.7์ด ์žˆ๊ณ 
tensorflow 1.13.1 ๋˜๋Š” ๋” ๋‚ฎ์€ ๋ฒ„์ „์„ ์„ค์น˜ํ•˜๋ ค๊ณ  ํ•˜๋ฉด ์„ค์น˜๋˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค.
ํ˜„์žฌ๋กœ์„œ๋Š” Python 3.7์„ ์ง€์›ํ•˜๋Š” tensorflow ๋ฒ„์ „์ด ์—†๊ธฐ ๋•Œ๋ฌธ์— ์ž‘๋™ํ•ฉ๋‹ˆ๋‹ค.
Python 3.7์„ ์ œ๊ฑฐํ•˜๊ณ  ์ƒˆ๋กœ ์‹œ์ž‘ํ•˜์‹ญ์‹œ์˜ค.

โ€”
๋‹น์‹ ์ด ๋Œ“๊ธ€์„ ๋‹ฌ์•˜๊ธฐ ๋•Œ๋ฌธ์— ์ด๊ฒƒ์„ ๋ฐ›๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค.
์ด ์ด๋ฉ”์ผ์— ์ง์ ‘ ๋‹ต์žฅํ•˜๊ณ  GitHub์—์„œ ํ™•์ธํ•˜์„ธ์š”.
https://github.com/tensorflow/tensorflow/issues/22794#issuecomment-482915167 ,
๋˜๋Š” ์Šค๋ ˆ๋“œ ์Œ์†Œ๊ฑฐ
https://github.com/notifications/unsubscribe-auth/Auda9j9qH1-Z_UgS8jT6-hZZD4xwlzISks5vgpuugaJpZM4XLOd-
.

@roopahtshree GPU

์•„๋ž˜ ๋งํฌ๋ฅผ ํ™•์ธํ•˜์„ธ์š”. CUDAยฎ Compute Capability 3.5 ์ด์ƒ์˜ NVIDIAยฎ GPU ์นด๋“œ
https://developer.nvidia.com/cuda-gpus

๊ฐ™์€ ๋ฌธ์ œ๊ฐ€ ์žˆ์—ˆ์ง€๋งŒ CUDA 10.0, CUDNN 7, Python 3.6.8 ๋ฐ TensorFlow 1.13์„ ์‚ฌ์šฉํ•˜๋ฉด ์ด์ œ ์ž‘๋™ํ•ฉ๋‹ˆ๋‹ค.

https://docs.nvidia.com/deeplearning/sdk/cudnn-support-matrix/index.html

์œˆ๋„์šฐ 10
cuDNN 7.5.0
์ฟ ๋‹ค 9.0.176
ํ…์„œํ”Œ๋กœ์šฐ GPU 1.10.0
์•„๋‚˜์ฝ˜๋‹ค ํŒŒ์ด์ฌ 3.6.2

์ข‹์•„์š”!!!

์œˆ๋„์šฐ 8.1
CUDA 10.0์šฉ cuDNN 7.6.0
Windows 7์šฉ CUDA 10.0
ํ…์„œํ”Œ๋กœ์šฐ GPU 1.13.1
์•„๋‚˜์ฝ˜๋‹ค ํŒŒ์ด์ฌ 3.7+

์ข‹์•„์š”!!!!

@pishangujeniya

์ง€๋‚œ ๋ฉฐ์น  ๋™์•ˆ tensorflow๋ฅผ ์„ค์น˜ํ•˜๋ ค๊ณ  ์‹œ๋„ํ–ˆ์œผ๋ฉฐ ์ด๋Ÿฌํ•œ ๊ตฌ์„ฑ์„ ๊ฑฐ์˜ ๋ชจ๋‘ ์‹œ๋„ํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด๊ฒƒ์€ ๋‚˜๋ฅผ ์œ„ํ•ด ์ผํ–ˆ์Šต๋‹ˆ๋‹ค. ์ •๋ง ๊ณ ๋ง™์Šต๋‹ˆ๋‹ค.

์—ฌ๊ธฐ์— ๋‚ด ์†”๋ฃจ์…˜์„ ๊ฒŒ์‹œํ•ฉ๋‹ˆ๋‹ค.
๋˜ํ•œ pip isntall(tensorflow1.13.1)์„ ์ง์ ‘ ์‚ฌ์šฉํ•˜๋Š” ๋™์•ˆ ๋ฌธ์ œ( ImportError: DLL ๋กœ๋“œ ์‹คํŒจ: ๆ‰พไธๅˆฐๆŒ‡ๅฎš็š„ๆจกๅ—ใ€‚Failed to load native TensorFlow runtime .)๊ฐ€ ๋ฐœ์ƒํ–ˆ์Šต๋‹ˆ๋‹ค. lfd.uci ๋กœ ์ „ํ™˜ํ•˜์—ฌ ๋‹ค๋ฅธ ์ปดํŒŒ์ผ๋œ ์ด์ „ ๋ฒ„์ „ tensorflow1.9๋ฅผ ๋‹ค์šด๋กœ๋“œํ•œ ๋‹ค์Œ ๋กœ์ปฌ์— ์„ค์น˜ํ–ˆ์Šต๋‹ˆ๋‹ค. ํšจ๊ณผ๊ฐ€์žˆ๋‹ค .

  • win10 x64
  • cuda10.1 cudnn 7.5
  • python3.7์ด ํฌํ•จ๋œ anaconda3 2019.3

TensorFlow 1.13.1์—์„œ๋Š” CUDA 10๋งŒ ์ž‘๋™ํ•˜๋Š” ๊ฒƒ์ฒ˜๋Ÿผ ๋ณด์ž…๋‹ˆ๋‹ค(CUDA 10.1์€ ์ž‘๋™ํ•˜์ง€ ์•Š์Œ). @pishangujeniya๊ฐ€ ๊ณต์œ ํ•œ ๊ตฌ์„ฑ์ด ์ž‘๋™ํ–ˆ์Šต๋‹ˆ๋‹ค.

CUDA ํˆดํ‚ท 10.0(2018๋…„ 9์›”)
CUDA 10.0์šฉ cuDNN v7.6.0(2019๋…„ 5์›” 20์ผ) ๋‹ค์šด๋กœ๋“œ

๋‚ด ๊ตฌ์„ฑ์€ ๋‹ค์Œ๊ณผ ํ•จ๊ป˜ ์ž‘๋™ํ•ฉ๋‹ˆ๋‹ค.

ํ…์„œํ”Œ๋กœ์šฐ-gpu==1.14.0
ํŒŒ์ด์ฌ 3.6.8
์ฟ ๋‹ค v10.0
์ปค๋“œ 7.4.1.5

์ €๋Š” Anaconda์—์„œ TensorFlow๋ฅผ ์‹คํ–‰ ์ค‘์ด๋ฉฐ ์ด ๋ฌธ์ œ๋„ ๊ฒช์—ˆ์Šต๋‹ˆ๋‹ค. TensorFlow, CUDA ๋ฐ cuDNN ๋ฒ„์ „ ๊ฐ„์˜ ํ˜ธํ™˜์„ฑ ๋ฌธ์ œ์™€ ๊ด€๋ จ์ด ์žˆ์Šต๋‹ˆ๋‹ค. Anaconda์˜ ์ตœ์‹  cudatoolkit์€ TF v1.13์šฉ CUDA ๋ฐ cuDNN์˜ ์˜ฌ๋ฐ”๋ฅธ ๋ฒ„์ „์„ ์ž๋™์œผ๋กœ ๋‹ค์šด๋กœ๋“œํ•˜์—ฌ ์„ค์น˜ํ•ฉ๋‹ˆ๋‹ค. CUDA ๋ฐ cuDNN์„ ์ˆ˜๋™์œผ๋กœ ์„ค์น˜ํ•˜๋Š” ๋Œ€์‹  cudatoolkit์„ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

๋‹ค์Œ์„ ํ†ตํ•ด ์ด ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•  ์ˆ˜ ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค.
1) Anaconda๋ฅผ ์ œ๊ฑฐํ•œ ํ›„ ์ตœ์‹  ๋ฒ„์ „์˜ Anaconda๋ฅผ ๋‹ค์šด๋กœ๋“œํ•˜์—ฌ ์„ค์น˜ํ•ฉ๋‹ˆ๋‹ค.
2) ์ƒˆ๋กœ์šด ๊ฐ€์ƒ ํ™˜๊ฒฝ ์ƒ์„ฑ ๋ฐ "conda install tensorflow-gpu" ์‚ฌ์šฉ(CUDA ๋ฐ cuDNN๋„ ์ž๋™์œผ๋กœ ์„ค์น˜)
3) ํ”„๋กœ์ ํŠธ๋ฅผ ์œ„ํ•ด ์ด ํ™˜๊ฒฝ ๋‚ด์—์„œ ์ž‘์—…

๊ฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค. 10.1 ํˆดํ‚ท์€ ๊ฐ™์€ ์˜ค๋ฅ˜๋กœ ๊ณ„์† ์‹คํŒจํ–ˆ์ง€๋งŒ 10.0์€ ๋งค๋ ฅ์ฒ˜๋Ÿผ ์ž‘๋™ํ–ˆ์Šต๋‹ˆ๋‹ค.

cuda10.1์„ ์ œ๊ฑฐํ•˜๊ณ  cuda 10.0์„ ์„ค์น˜ํ•˜์—ฌ ์ˆ˜์ •ํ–ˆ์Šต๋‹ˆ๋‹ค.

์ €๋Š” Anaconda์—์„œ TensorFlow๋ฅผ ์‹คํ–‰ ์ค‘์ด๋ฉฐ ์ด ๋ฌธ์ œ๋„ ๊ฒช์—ˆ์Šต๋‹ˆ๋‹ค. TensorFlow, CUDA ๋ฐ cuDNN ๋ฒ„์ „ ๊ฐ„์˜ ํ˜ธํ™˜์„ฑ ๋ฌธ์ œ์™€ ๊ด€๋ จ์ด ์žˆ์Šต๋‹ˆ๋‹ค. Anaconda์˜ ์ตœ์‹  cudatoolkit์€ TF v1.13์šฉ CUDA ๋ฐ cuDNN์˜ ์˜ฌ๋ฐ”๋ฅธ ๋ฒ„์ „์„ ์ž๋™์œผ๋กœ ๋‹ค์šด๋กœ๋“œํ•˜์—ฌ ์„ค์น˜ํ•ฉ๋‹ˆ๋‹ค. CUDA ๋ฐ cuDNN์„ ์ˆ˜๋™์œผ๋กœ ์„ค์น˜ํ•˜๋Š” ๋Œ€์‹  cudatoolkit์„ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

๋‹ค์Œ์„ ํ†ตํ•ด ์ด ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•  ์ˆ˜ ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค.

  1. Anaconda ์ œ๊ฑฐ ํ›„ ์ตœ์‹  ๋ฒ„์ „์˜ Anaconda ๋‹ค์šด๋กœ๋“œ ๋ฐ ์„ค์น˜
  2. ์ƒˆ๋กœ์šด ๊ฐ€์ƒ ํ™˜๊ฒฝ ์ƒ์„ฑ ๋ฐ "conda install tensorflow-gpu" ์‚ฌ์šฉ(CUDA ๋ฐ cuDNN๋„ ์ž๋™์œผ๋กœ ์„ค์น˜)
  3. ํ”„๋กœ์ ํŠธ๋ฅผ ์œ„ํ•ด ์ด ํ™˜๊ฒฝ ๋‚ด์—์„œ ์ž‘์—…

๋ชจ๋“  ์‹œ๋ จ ๋์—์ด ๋‹ต๋ณ€์ด ๋‚ด ํ•˜๋ฃจ๋ฅผ ๋งŒ๋“ค์—ˆ์Šต๋‹ˆ๋‹ค. 'conda install tensorflow-gpu'๋Š” 1.12์—์„œ tensorflow๋ฅผ ์ž ๊ทธ๊ณ  ๋ชจ๋“  ์ข…์†์„ฑ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ–ˆ์Šต๋‹ˆ๋‹ค.

๋‚˜๋Š” ๊ฐ™์€ ๋ฌธ์ œ์— ์ง๋ฉดํ–ˆ๋‹ค .....

C:\Anaconda3>ํŒŒ์ด์ฌ
Python 3.7.1(๊ธฐ๋ณธ๊ฐ’, 2018๋…„ 10์›” 28์ผ, 08:39:03) [MSC v.1912 64๋น„ํŠธ(AMD64)] :: Anaconda, Inc. on win32
์ž์„ธํ•œ ๋‚ด์šฉ์„ ๋ณด๋ ค๋ฉด "๋„์›€๋ง", "์ €์ž‘๊ถŒ", "ํฌ๋ ˆ๋”ง" ๋˜๋Š” "๋ผ์ด์„ผ์Šค"๋ฅผ ์ž…๋ ฅํ•˜์‹ญ์‹œ์˜ค.

ํ…์„œํ”Œ๋กœ๋ฅผ tf๋กœ ๊ฐ€์ ธ์˜ค๊ธฐ
์—ญ์ถ”์ (๊ฐ€์žฅ ์ตœ๊ทผ ํ˜ธ์ถœ ๋งˆ์ง€๋ง‰):
ํŒŒ์ผ "C:\Anaconda3\lib\site-packagestensorflow\python\pywrap_tensorflow.py", 58ํ–‰,
tensorflow.python.pywrap_tensorflow_internal ๊ฐ€์ ธ์˜ค๊ธฐ์—์„œ *
ํŒŒ์ผ "C:\Anaconda3\lib\site-packagestensorflow\python\pywrap_tensorflow_internal.py", 28ํ–‰,
_pywrap_tensorflow_internal = swig_import_helper()
ํŒŒ์ผ "C:\Anaconda3\lib\site-packagestensorflow\python\pywrap_tensorflow_internal.py", 24ํ–‰, swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, ๊ฒฝ๋กœ ์ด๋ฆ„, ์„ค๋ช…)
load_module์˜ ํŒŒ์ผ "C:\Anaconda3\lib\imp.py", 242ํ–‰
return load_dynamic(์ด๋ฆ„, ํŒŒ์ผ ์ด๋ฆ„, ํŒŒ์ผ)
load_dynamic์˜ ํŒŒ์ผ "C:\Anaconda3\lib\imp.py", 342ํ–‰
๋ฐ˜ํ™˜ _load(์‚ฌ์–‘)
ImportError: DLL ๋กœ๋“œ ์‹คํŒจ: DLL(๋™์  ์—ฐ๊ฒฐ ๋ผ์ด๋ธŒ๋Ÿฌ๋ฆฌ) ์ดˆ๊ธฐํ™” ๋ฃจํ‹ด์ด ์‹คํŒจํ–ˆ์Šต๋‹ˆ๋‹ค.

์œ„์˜ ์˜ˆ์™ธ๋ฅผ ์ฒ˜๋ฆฌํ•˜๋Š” ๋™์•ˆ ๋‹ค๋ฅธ ์˜ˆ์™ธ๊ฐ€ ๋ฐœ์ƒํ–ˆ์Šต๋‹ˆ๋‹ค.

์—ญ์ถ”์ (๊ฐ€์žฅ ์ตœ๊ทผ ํ˜ธ์ถœ ๋งˆ์ง€๋ง‰):
ํŒŒ์ผ "", 1ํ–‰, ์—์„œ
ํŒŒ์ผ "C:\Anaconda3\lib\site-packagestensorflow__init__.py", 28ํ–‰,
from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import
ํŒŒ์ผ "C:\Anaconda3\lib\site-packagestensorflow\python__init__.py", 49ํ–‰,
tensorflow.python์—์„œ ๊ฐ€์ ธ์˜ค๊ธฐ pywrap_tensorflow
ํŒŒ์ผ "C:\Anaconda3\lib\site-packagestensorflow\python\pywrap_tensorflow.py", 74ํ–‰,
ImportError(msg) ๋ฐœ์ƒ
ImportError: ์—ญ์ถ”์ (๊ฐ€์žฅ ์ตœ๊ทผ ํ˜ธ์ถœ ๋งˆ์ง€๋ง‰):
ํŒŒ์ผ "C:\Anaconda3\lib\site-packagestensorflow\python\pywrap_tensorflow.py", 58ํ–‰,
tensorflow.python.pywrap_tensorflow_internal ๊ฐ€์ ธ์˜ค๊ธฐ์—์„œ *
ํŒŒ์ผ "C:\Anaconda3\lib\site-packagestensorflow\python\pywrap_tensorflow_internal.py", 28ํ–‰,
_pywrap_tensorflow_internal = swig_import_helper()
ํŒŒ์ผ "C:\Anaconda3\lib\site-packagestensorflow\python\pywrap_tensorflow_internal.py", 24ํ–‰, swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, ๊ฒฝ๋กœ ์ด๋ฆ„, ์„ค๋ช…)
load_module์˜ ํŒŒ์ผ "C:\Anaconda3\lib\imp.py", 242ํ–‰
return load_dynamic(์ด๋ฆ„, ํŒŒ์ผ ์ด๋ฆ„, ํŒŒ์ผ)
load_dynamic์˜ ํŒŒ์ผ "C:\Anaconda3\lib\imp.py", 342ํ–‰
๋ฐ˜ํ™˜ _load(์‚ฌ์–‘)
ImportError: DLL ๋กœ๋“œ ์‹คํŒจ: DLL(๋™์  ์—ฐ๊ฒฐ ๋ผ์ด๋ธŒ๋Ÿฌ๋ฆฌ) ์ดˆ๊ธฐํ™” ๋ฃจํ‹ด์ด ์‹คํŒจํ–ˆ์Šต๋‹ˆ๋‹ค.

๊ธฐ๋ณธ TensorFlow ๋Ÿฐํƒ€์ž„์„ ๋กœ๋“œํ•˜์ง€ ๋ชปํ–ˆ์Šต๋‹ˆ๋‹ค.

https://www.tensorflow.org/install/errors ์ฐธ์กฐ

๋ช‡ ๊ฐ€์ง€ ์ผ๋ฐ˜์ ์ธ ์ด์œ ์™€ ์†”๋ฃจ์…˜ ๋•Œ๋ฌธ์ž…๋‹ˆ๋‹ค. ์ „์ฒด ์Šคํƒ ์ถ”์  ํฌํ•จ
๋„์›€์„ ์š”์ฒญํ•  ๋•Œ ์ด ์˜ค๋ฅ˜ ๋ฉ”์‹œ์ง€ ์œ„์— ํ‘œ์‹œ๋ฉ๋‹ˆ๋‹ค.

์•„๋‚˜์ฝ˜๋‹ค๋ฅผ ์‚ฌ์šฉํ•˜๋Š” ๋ถ„๋“ค์—๊ฒŒ ๋„์›€์ด ๋  ํฅ๋ฏธ๋กœ์šด ๊ฒƒ์„ ๋ฐœ๊ฒฌํ–ˆ์Šต๋‹ˆ๋‹ค.

์‹œ์Šคํ…œ ์‚ฌ์–‘:
์œ„๋„์šฐ์ฆˆ 10
ํŒŒ์ด์ฌ 3.7.3
์ฟ ๋‹ค 10.0
conda์™€ ํ•จ๊ป˜ ์„ค์น˜๋œ cudnn ๋ฐ cupti

์„ค์น˜ํ•˜๋Š” ๋™์•ˆ ์‹œ์Šคํ…œ ๊ฒฝ๋กœ์— ์•„๋‚˜์ฝ˜๋‹ค๋ฅผ ์ถ”๊ฐ€ํ•˜์—ฌ(๊ถŒ์žฅํ•˜์ง€ ์•Š์Œ/๊ธฐ๋ณธ ์„ค์ •) tf๋ฅผ ์‹คํ–‰ํ•  ์ˆ˜ ์—†์—ˆ์Šต๋‹ˆ๋‹ค. ์˜ต์…˜์„ ์„ ํƒํ•˜์ง€ ์•Š๊ณ  ๋‹ค์‹œ ์„ค์น˜ํ•˜๋ฉด ์ด ๋ฌธ์ œ๊ฐ€ ํ•ด๊ฒฐ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

์ด๊ฒƒ์€ cudnn64_7.dll ํŒŒ์ผ์„ ๊ฐ€๋ฆฌํ‚ค๋Š” ๊ฒƒ๊ณผ ๊ด€๋ จ์ด ์žˆ๋‹ค๊ณ  ์ƒ๊ฐํ•ฉ๋‹ˆ๋‹ค. Windows์— ์„ค์น˜ํ•œ ํ›„์—๋Š” cuDNN64_7.dll์„ ๊ฐ€๋ฆฌ์ผœ์•ผ ํ•ฉ๋‹ˆ๋‹ค. ์•„๋ž˜์— ์ถ”๊ฐ€ํ•˜๋Š” ๋ฐฉ๋ฒ•:

  • Windows 10 ๊ฒ€์ƒ‰์ฐฝ์— ๊ฒฝ๋กœ ์ž…๋ ฅ
  • ์„ค์ • ์—ด๊ธฐ: ์ œ์–ดํŒ์—์„œ ์‹œ์Šคํ…œ ํ™˜๊ฒฝ ๋ณ€์ˆ˜ ํŽธ์ง‘
  • ๊ณ ๊ธ‰ ํƒญ์—์„œ ํ™˜๊ฒฝ ๋ณ€์ˆ˜...๋ฅผ ํด๋ฆญํ•ฉ๋‹ˆ๋‹ค.
  • ์‚ฌ์šฉ์ž ์ด๋ฆ„์— ๋Œ€ํ•œ ์‚ฌ์šฉ์ž ๋ณ€์ˆ˜์—์„œ ๊ฒฝ๋กœ๋ฅผ ์„ ํƒํ•˜๊ณ  ํŽธ์ง‘...์„ ํด๋ฆญํ•ฉ๋‹ˆ๋‹ค.
  • ํ™˜๊ฒฝ ๋ณ€์ˆ˜ ํŽธ์ง‘ ์ƒˆ ์ฐฝ์—์„œ ์ƒˆ๋กœ ๋งŒ๋“ค๊ธฐ๋ฅผ ํด๋ฆญํ•˜๊ณ  ๋‹ค์Œ ๊ฒฝ๋กœ๋ฅผ ํ…์ŠคํŠธ ์ƒ์ž์— ๋ถ™์—ฌ๋„ฃ์Šต๋‹ˆ๋‹ค.
  • (๊ท€ํ•˜์˜ CUDNN64_7.dll ์œ„์น˜) (์˜ˆ: ๊ด‘์‚ฐ - C:\cudnn-10.0-windows10-x64-v7.6.0.64cuda\bin)
  • ํ™•์ธ์„ ํด๋ฆญํ•˜์—ฌ ์ฐฝ์„ ๋‹ซ๊ณ  ํ™•์ธ์„ ๋‹ค์‹œ ํด๋ฆญํ•˜์—ฌ ํ™˜๊ฒฝ ๋ณ€์ˆ˜ ์ฐฝ๊ณผ ์‹œ์Šคํ…œ - ์†์„ฑ ์ฐฝ์„ ๋‹ซ์Šต๋‹ˆ๋‹ค.
    -Anaconda Prompt๋ฅผ ์—ด๊ณ  echo %PATH% ๋ฅผ ์ž…๋ ฅํ•˜๋ฉด ์ถœ๋ ฅ์—์„œ โ€‹โ€‹์ƒˆ๋กœ ์ถ”๊ฐ€๋œ ๊ฒฝ๋กœ๋ฅผ ๋ณผ ์ˆ˜ ์žˆ์–ด์•ผ ํ•ฉ๋‹ˆ๋‹ค.

๋‚˜๋Š” ๊ทธ๋ ‡๊ฒŒ ์˜์‹ฌํ•œ๋‹ค. ๋˜๋Š” ์ ์–ด๋„ ๊ทธ๊ฒƒ์€ ๋‚˜๋ฅผ ์œ„ํ•œ ์›์ธ์ด ์•„๋‹™๋‹ˆ๋‹ค. ์ˆ˜๋™์œผ๋กœ ๊ฒฝ๋กœ๋ฅผ ์ถ”๊ฐ€ํ–ˆ์ง€๋งŒ ์‹œ์Šคํ…œ์—์„œ ๊ฒฝ๋กœ๋ฅผ ๊ฐ์ง€ํ•  ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค.

๋‚˜๋Š” ๋˜ํ•œ ๊ฐ™์€ ์˜ค๋ฅ˜๊ฐ€ ๋ฐœ์ƒํ•ฉ๋‹ˆ๋‹ค.
์–ด๋–ป๊ฒŒ๋“  TensorFlow๋ฅผ version1.14.0์œผ๋กœ ์—…๊ทธ๋ ˆ์ด๋“œํ•˜๋ฉด ๋ฌธ์ œ๊ฐ€ ํ•ด๊ฒฐ๋ฉ๋‹ˆ๋‹ค. :)

conda ํ™˜๊ฒฝ์— ์„ค์น˜๋˜๊ณ  win10 + gtx1060(nb ๋ฒ„์ „)์—์„œ ์ž˜ ์ž‘๋™ํ•ฉ๋‹ˆ๋‹ค.
ํ…์„œํ”Œ๋กœ 1.13.1
ํ…์„œํ”Œ๋กœ์šฐ GPU 1.13.1
ํ…์„œํ”Œ๋กœ ๋ฐ์ดํ„ฐ ์„ธํŠธ 1.0.1
์ผ€๋ผ์Šค 2.2.3
์ฟ ๋‹คํˆดํ‚ท 9.0
์ปค๋“œ 7.6.4
ํŒŒ์ด์ฌ 3.6.7

๋‚˜๋Š” ์˜ค๋Š˜ ํ•˜๋ฃจ ์ข…์ผ ์ด ๋ฌธ์ œ์— ๋งค๋‹ฌ๋ ธ๋‹ค.
๊ฐ€์ƒ ํ™˜๊ฒฝ์—์„œ Tensorflow 2๋ฅผ ์„ฑ๊ณต์ ์œผ๋กœ ๊ฐ€์ ธ์˜ฌ ์ˆ˜ ์žˆ์ง€๋งŒ Visual Studio Jupyter ๋…ธํŠธ๋ถ ๋‚ด์—์„œ ์•„๋ž˜ ์˜ค๋ฅ˜๊ฐ€ ๋ฐœ์ƒํ•ฉ๋‹ˆ๋‹ค.

_mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
File "C:\Users\IT\envs\tf1env\lib\imp.py", line 242, in load_module
return load_dynamic(name, filename, file)
File "C:\Users\IT\envs\tf1env\lib\imp.py", line 342, in load_dynamic
return _load(spec)
ImportError: DLL load failed: The specified module could not be found.

Tensorflow 2, CUDA 10.1 ๋ฐ cuDNN 7.6.5๋ฅผ ์‚ฌ์šฉํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

์ด๊ฒƒ์€ ์Šค์Šค๋กœ ์•Œ์•„๋‚ด๊ฑฐ๋‚˜ ํ•ด๊ฒฐํ•˜๊ธฐ ์‰ฌ์šด ๋ฌธ์ œ๊ฐ€ ์•„๋‹™๋‹ˆ๋‹ค.

์‰ฌ์šด ๋ฒ„ํŠผ์€ ์ด ๊ฒŒ์‹œ๋ฌผ์˜ ์ง€์นจ์„ ๋”ฐ๋ฅด๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค.
https://www.pugetsystems.com/labs/hpc/How-to-Install-TensorFlow-with-GPU-Support-on-Windows-10-Without-Installing-CUDA-UPDATED-1419

๋˜๋Š” Google Colab์„ ์‚ฌ์šฉํ•˜์„ธ์š”. ์ด ๋ชจ๋“  ๊ฒƒ์„ ์ฒ˜๋ฆฌํ•ด ๋“œ๋ฆฝ๋‹ˆ๋‹ค.

"ImportError: DLL ๋กœ๋“œ ์‹คํŒจ:"์—์„œ ๋ˆ„๋ฝ๋œ DLL์— ๋Œ€ํ•ด ์–ธ๊ธ‰ํ•˜์ง€ ์•Š์Šต๋‹ˆ๊นŒ? ์ด๊ฒƒ์€ ์žฌ๋ฏธ์žˆ์„ ๊ฒƒ์ด๋‹ค

๊ฐ™์€ ๋ฌธ์ œ
conda lsit์—์„œ ์ด๋ฏธ ํŒจํ‚ค์ง€๋ฅผ ์„ค์น˜ํ–ˆ๋‹ค๊ณ  ๋งํ–ˆ์Šต๋‹ˆ๋‹ค.
๊ทธ๋Ÿฐ๋ฐ ์‹คํ–‰ํ•ด ๋ณด๋‹ˆ ์˜ค๋ฅ˜๊ฐ€ ๋งŽ์ด ๋‚˜๋„ค์š”.

๋ญ๊ฐ€ ์ž˜๋ชป๋๋Š”์ง€ ๋ชจ๋ฅด๊ฒ ์–ด

Tensorflow 2.1.0(CPU ๋ฒ„์ „)์—์„œ ์ด ๋ฌธ์ œ๊ฐ€ ๋ฐœ์ƒํ–ˆ์Šต๋‹ˆ๋‹ค. Tensorflow 2.0.0์œผ๋กœ ๋‹ค์šด๊ทธ๋ ˆ์ด๋“œํ•˜์—ฌ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ–ˆ์Šต๋‹ˆ๋‹ค.

pip install tensorflow==2.0.0

2.1.0 ์ดํ›„์— ์ด ๋ฌธ์ œ๊ฐ€ ๋ฐœ์ƒํ•œ๋‹ค๋ฉด ๊ธฐ๋ณธ์ ์œผ๋กœ GPU ์ง€์›์ด ํ•จ๊ป˜ ์ œ๊ณต๋˜๊ธฐ ๋•Œ๋ฌธ์ผ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๊ทธ๋ฆฌ๊ณ  ์›น์‚ฌ์ดํŠธ์˜ ์„ค์น˜ ๋‹จ๊ณ„ #1์— ํ‘œ์‹œ๋œ ๋Œ€๋กœ _Visual Studio 2015์šฉ Microsoft Visual C++ ์žฌ๋ฐฐํฌ ๊ฐ€๋Šฅ ํŒจํ‚ค์ง€_๊ฐ€ ํ•„์š”ํ•ฉ๋‹ˆ๋‹ค.

image

๋ฆด๋ฆฌ์Šค ์ •๋ณด์—์„œ:

image

@abdulrahman-khankan ์Šคํฌ๋ฆฐ์ƒท์ด ์œ„์— ์žˆ๋Š” ๋ฆด๋ฆฌ์Šค ๋…ธํŠธ๋ฅผ ์ฐพ์•˜์Šต๋‹ˆ๋‹ค. https://github.com/tensorflow/tensorflow/releases/tag/v2.1.0

๋‹ค์Œ์€ ํ•ด๋‹น ๋ฌธ์„œ์˜ Visual Studio 2015, 2017 ๋ฐ 2019์šฉ Microsoft Visual C++ ์žฌ๋ฐฐํฌ ๊ฐ€๋Šฅ ํŒจํ‚ค์ง€์ž…๋‹ˆ๋‹ค . ์Šคํฌ๋ฆฐ์ƒท์˜ ํ…์ŠคํŠธ๋Š” ํด๋ฆญ, ๋ณต์‚ฌ, ๋ฒˆ์—ญ, ์Šคํฌ๋ฆฐ ๋ฆฌ๋”๋กœ ์ฝ์„ ์ˆ˜ ์—†์Œ์„ ๊ธฐ์–ตํ•˜์‹ญ์‹œ์˜ค!

๋‚˜๋Š” ๋ชจ๋‘๊ฐ€ ๋ฆด๋ฆฌ์Šค ํŽ˜์ด์ง€๋กœ ์ด๋™ํ•˜๊ฑฐ๋‚˜ MS ์„ค์น˜ ํ”„๋กœ๊ทธ๋žจ์„ ๊ตฌ๊ธ€๋งํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์•Œ๊ณ  ์žˆ๋‹ค๊ณ  ๊ฐ€์ •ํ–ˆ์Šต๋‹ˆ๋‹ค. ๋งํฌ๋ฅผ ๊ณต์œ ํ•ด ์ฃผ์…”์„œ ๊ฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค!

PyInstaller์˜ ์ถ”๊ฐ€ ๋ฌธ์ œ ๋•Œ๋ฌธ์— tensorflow == 1.14.0 ๋‹ค์šด๊ทธ๋ ˆ์ด๋“œํ–ˆ์Šต๋‹ˆ๋‹ค.

๊ท€ํ•˜์˜ ๋งํฌ๋ฅผ ์‚ฌ์šฉํ•˜๋Š” @ERDataDoc

์‰ฌ์šด ๋ฒ„ํŠผ์€ ์ด ๊ฒŒ์‹œ๋ฌผ์˜ ์ง€์นจ์„ ๋”ฐ๋ฅด๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค.
https://www.pugetsystems.com/labs/hpc/How-to-Install-TensorFlow-with-GPU-Support-on-Windows-10-Without-Installing-CUDA-UPDATED-1419

์œ ์šฉํ•˜์ง€๋งŒ ๋•Œ๋กœ๋Š” ์•„์ง ์ง€์›๋˜์ง€ ์•Š๋Š” CUDA 10.2๋กœ ๋“œ๋ผ์ด๋ฒ„๋ฅผ ์—…๊ทธ๋ ˆ์ด๋“œํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
(๋‚ด ๊ฒฝ์šฐ์— ์ผ์–ด๋‚œ ์ผ)

์ด๊ฒƒ์ด ๋„์›€์ด ๋˜์ง€ ์•Š๋Š”๋‹ค๋Š” ๊ฒƒ์„ ์•Œ๊ณ  ์ฃ„์†กํ•˜์ง€๋งŒ ์ด์ œ Windows์—์„œ Python์œผ๋กœ ์ง„์ง€ํ•œ ์ž‘์—…์„ ์‹œ๋„ํ•˜๋Š” ๊ฒƒ์„ ํฌ๊ธฐํ–ˆ์Šต๋‹ˆ๋‹ค. 3์ฃผ๊ฐ€ ์ง€๋‚ฌ์ง€๋งŒ ์—ฌ์ „ํžˆ ์ฒซ ๋ฒˆ์งธ ํŠœํ† ๋ฆฌ์–ผ์— ํ•„์š”ํ•œ ๋ชจ๋“  ๊ฒƒ์„ ์„ค์น˜ํ•˜๋ ค๊ณ  ๋…ธ๋ ฅํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

https://github.com/tensorflow/tensorflow/issues/22512#issuecomment -572603142
์ด๊ฒƒ์€ ๋‚˜๋ฅผ ์œ„ํ•ด ๊ทธ๊ฒƒ์„ ํ•ด๊ฒฐํ–ˆ์Šต๋‹ˆ๋‹ค.
(tensorflow 2.0.0์œผ๋กœ ๋‹ค์šด๊ทธ๋ ˆ์ด๋“œ)
pip install tensorflow==2.0.0

https://github.com/tensorflow/tensorflow/issues/22794#issuecomment -580329356

์žฌ๋ฐฐํฌ ๊ฐ€๋Šฅ ํŒŒ์ผ์„ ์„ค์น˜ํ–ˆ๊ณ  msvcp140.dll์„ ๋‚ด ํŒŒ์ผ ์‹œ์Šคํ…œ์—์„œ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

๊ทธ๋Ÿฌ๋‚˜ ์—ฌ์ „ํžˆ ์˜ค๋ฅ˜๊ฐ€ ๋ฐœ์ƒํ•ฉ๋‹ˆ๋‹ค. ๋‹ค์šด๊ทธ๋ ˆ์ด๋“œ๊ฐ€ ๋„์›€์ด ๋˜์ง€๋งŒ 2.0.0์— ์ˆ˜์ •๋˜์ง€ ์•Š์€ ๋ฒ„๊ทธ๊ฐ€ ์žˆ์œผ๋ฏ€๋กœ ๋ฒ„์ „์„ ์—…๊ทธ๋ ˆ์ด๋“œํ•ด์•ผ ํ•ฉ๋‹ˆ๋‹ค.

๊ฐœ๋ฐœ์ž๋“ค์ด ์ด ์ž‘์—…์„ ํ•˜๊ณ  ์žˆ๋‹ค๋Š” ํ†ต์ง€๊ฐ€ ์žˆ์Šต๋‹ˆ๊นŒ?

๋‚˜๋Š” ๊ทธ๊ฒƒ์„ ๊ณ ์ณค๋‹ค.
๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด ๋ฉฐ์น ์„ ๋ณด๋‚ด์‹ญ์‹œ์˜ค.

pip install tensorflow-cpu๋กœ ์„ค์น˜๋œ tensorflow
์—…๋ฐ์ดํŠธ๋œ Visual C++ 2015-2019

๋ฌธ์ œ๋Š” ๋‚ด๊ฐ€ Raedon vega 8 ๊ทธ๋ž˜ํ”ฝ์„ ์‚ฌ์šฉํ•˜๊ธฐ ๋•Œ๋ฌธ์— cpu ๋ฒ„์ „์œผ๋กœ ์„ค์น˜ํ•ด์•ผ ํ•˜๋Š” nvidia ๊ทธ๋ž˜ํ”ฝ์ด ์—†์—ˆ๊ธฐ ๋•Œ๋ฌธ์ž…๋‹ˆ๋‹ค.

๋„์›€์ด ๋˜๊ธฐ๋ฅผ ๋ฐ”๋ž๋‹ˆ๋‹ค.

์ œ ๊ฒฝ์šฐ์—๋Š” Python 3.6์„ ์‚ฌ์šฉํ•˜๊ณ  ์žˆ์—ˆ๋Š”๋ฐ ์˜ค๋ฅ˜๊ฐ€ ๋ฐœ์ƒํ–ˆ์Šต๋‹ˆ๋‹ค. ๊ทธ๋ž˜์„œ 3.6.8๋กœ ์—…๊ทธ๋ ˆ์ด๋“œ ํ•œ ๋‹ค์Œ tensorflow 2.0.0์—์„œ ์ž‘๋™ํ–ˆ์Šต๋‹ˆ๋‹ค.

๊ทธ๊ฒƒ์€ ๋‚˜๋ฅผ ์œ„ํ•ด ์ผํ•ฉ๋‹ˆ๋‹ค ํŒŒ์ด์ฌ : 3.7.6
pip ์„ค์น˜ tensorflow==2.0
Tensoflow-gpu๋ฅผ ์‚ฌ์šฉํ•˜๋Š” ๊ฒฝ์šฐ
pip install --upgrade tensorflow-gpu==2.0

๋‚˜๋Š” ์„ค์น˜ํ–ˆ๋‹ค

  • python 3.6.2(<-- ๋‚ด python ๋ฒ„์ „์„ ๋ณ€๊ฒฝํ•˜๊ณ  64๋น„ํŠธ๋กœ ๋ณ€๊ฒฝํ•ด์•ผ ํ•จ)
  • ๋‚ด System32/์— ์ด๋ฏธ msvcp140.dll ๋ฐ msvcp140_1.dll์ด ์žˆ์Šต๋‹ˆ๋‹ค.
  • Cuda 10.0(ํ•„์š”ํ•œ์ง€ ํ™•์‹คํ•˜์ง€ ์•Š์Œ).
  • pip install tensorflow==2.0 (<-- 2.1.0์€ ์ž‘๋™ํ•˜์ง€ ์•Š์•˜์Šต๋‹ˆ๋‹ค!)
    ๊ทธ๋Ÿฐ ๋‹ค์Œ ์ž‘๋™ํ–ˆ์Šต๋‹ˆ๋‹ค :)

์ด๊ฒƒ์€ ์ด ์Šค๋ ˆ๋“œ์˜ ์ตœ์ข… ๋‹ต๋ณ€์ž…๋‹ˆ๋‹ค. https://github.com/tensorflow/tensorflow/issues/22794#issuecomment -573297027

"ํ•ด๊ฒฐํ–ˆ์Šต๋‹ˆ๋‹ค!"๋ผ๊ณ  ์ŠคํŒธ ๋ฉ”์ผ์„ ๋ณด๋‚ด์ง€ ๋งˆ์„ธ์š”. ๋ฐ ๋งž์ถคํ˜• ์†”๋ฃจ์…˜.

์•ˆ๋…•ํ•˜์„ธ์š” @mihaimaruseac

  1. ์‚ฌ์ดํŠธ์˜ ์ง€์นจ ์— AVX ๋ช…๋ น์— ๋Œ€ํ•œ ์ง€์› ๋ถ€์กฑ์œผ๋กœ ์ธํ•ด ๋ฐœ์ƒํ•  ์ˆ˜ ์žˆ๋Š” ๋ฌธ์ œ์— ๋Œ€ํ•œ ์„ค๋ช…๊ณผ ํ•จ๊ป˜ ์ƒˆ ํ•ญ๋ชฉ์„ ์ถ”๊ฐ€ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๊นŒ?
  2. ์ด ๋งํฌ ๋ฅผ __์˜ค๋ฅ˜ ๋ฉ”์‹œ์ง€__๊ฐ€ ๋™์ผํ•œ ๋ฌธ์ œ ๋ชฉ๋ก์— ์ถ”๊ฐ€ํ•˜์‹œ๊ฒ ์Šต๋‹ˆ๊นŒ? _"๊ฐ€์ ธ์˜ค๊ธฐ ์˜ค๋ฅ˜: DLL ๋กœ๋“œ ์‹คํŒจ: ์ง€์ •๋œ ๋ชจ๋“ˆ์„ ์ฐพ์„ ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค."_
  3. AVX๋ฅผ ์ง€์›ํ•˜์ง€ ์•Š๋Š” ์ž์ฒด ๋ฐ”์ด๋„ˆ๋ฆฌ๋ฅผ ๋งŒ๋“œ๋Š” ๋ฐฉ๋ฒ•์„ ์•Œ๊ณ  ์žˆ์Šต๋‹ˆ๊นŒ?

์–ด๋–ค ์‚ฌ๋žŒ์ด AVX ์ง€์› ์—†์ด tensorflow whl์ด ํ•„์š”ํ•œ ๊ฒฝ์šฐ ์ด ์ €์žฅ์†Œ ์—์„œ ์ฐพ์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ž‘์„ฑ์ž์—๊ฒŒ ๋งŽ์€ ๊ฐ์‚ฌ๋ฅผ ๋“œ๋ฆฝ๋‹ˆ๋‹ค. ๋˜๋Š” Intel ์†Œํ”„ํŠธ์›จ์–ด ๊ฐœ๋ฐœ ์—๋ฎฌ๋ ˆ์ดํ„ฐ ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ AVX๋ฅผ ์ง€์›ํ•˜๋Š” ์›๋ณธ ํ…์„œํ”Œ๋กœ๋ฅผ ์‹คํ–‰ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

AVX ์ง€์›์„ ํ…Œ์ŠคํŠธํ•˜๋ ค๋ฉด Coreinfo๋ฅผ ์‚ฌ์šฉ

ERROR:root : inspect ๋ชจ๋“ˆ์˜ ๋‚ด๋ถ€ Python ์˜ค๋ฅ˜์ž…๋‹ˆ๋‹ค.
์•„๋ž˜๋Š” ์ด ๋‚ด๋ถ€ ์˜ค๋ฅ˜์˜ ์—ญ์ถ”์ ์ž…๋‹ˆ๋‹ค.

์—ญ์ถ”์ (๊ฐ€์žฅ ์ตœ๊ทผ ํ˜ธ์ถœ ๋งˆ์ง€๋ง‰):
run_code์˜ "C:\Users\Pankaj\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py" ํŒŒ์ผ, 3331ํ–‰
exec(code_obj, self.user_global_ns, self.user_ns)
ํŒŒ์ผ "", 1ํ–‰, ์—์„œ
flair_data, ot_data =load_dataset(๊ฒฝ๋กœ)
ํŒŒ์ผ "", 64ํ–‰, load_dataset
train_ot = np.vstack(train_ot)
ํŒŒ์ผ "<__array_function__ internals>", 6ํ–‰, vstack
ํŒŒ์ผ "C:\Users\Pankaj\Anaconda3\lib\site-packages\numpy\core\shape_base.py", 283ํ–‰, vstack
๋ฐ˜ํ™˜ _nx.concatenate(arrs, 0)
ํŒŒ์ผ "<__array_function__ internals>", 6ํ–‰, ์—ฐ๊ฒฐ
ValueError: ์—ฐ๊ฒฐํ•  ๋ฐฐ์—ด์ด ํ•˜๋‚˜ ์ด์ƒ ํ•„์š”ํ•ฉ๋‹ˆ๋‹ค.

์œ„์˜ ์˜ˆ์™ธ๋ฅผ ์ฒ˜๋ฆฌํ•˜๋Š” ๋™์•ˆ ๋‹ค๋ฅธ ์˜ˆ์™ธ๊ฐ€ ๋ฐœ์ƒํ–ˆ์Šต๋‹ˆ๋‹ค.

์—ญ์ถ”์ (๊ฐ€์žฅ ์ตœ๊ทผ ํ˜ธ์ถœ ๋งˆ์ง€๋ง‰):
showtraceback์—์„œ ํŒŒ์ผ "C:\Users\Pankaj\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py", ๋ผ์ธ 2044
stb = ๊ฐ’._render_traceback_()
AttributeError: 'ValueError' ๊ฐœ์ฒด์— '_render_traceback_' ์†์„ฑ์ด ์—†์Šต๋‹ˆ๋‹ค.

์œ„์˜ ์˜ˆ์™ธ๋ฅผ ์ฒ˜๋ฆฌํ•˜๋Š” ๋™์•ˆ ๋‹ค๋ฅธ ์˜ˆ์™ธ๊ฐ€ ๋ฐœ์ƒํ–ˆ์Šต๋‹ˆ๋‹ค.

์—ญ์ถ”์ (๊ฐ€์žฅ ์ตœ๊ทผ ํ˜ธ์ถœ ๋งˆ์ง€๋ง‰):
ํŒŒ์ผ "C:\Users\Pankaj\Anaconda3\lib\site-packagestensorflow_core\python\pywrap_tensorflow.py", 58ํ–‰,
tensorflow.python.pywrap_tensorflow_internal ๊ฐ€์ ธ์˜ค๊ธฐ์—์„œ *
ํŒŒ์ผ "C:\Users\Pankaj\Anaconda3\lib\site-packagestensorflow_core\python\pywrap_tensorflow_internal.py", 28ํ–‰,
_pywrap_tensorflow_internal = swig_import_helper()
ํŒŒ์ผ "C:\Users\Pankaj\Anaconda3\lib\site-packagestensorflow_core\python\pywrap_tensorflow_internal.py", 24ํ–‰, swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, ๊ฒฝ๋กœ ์ด๋ฆ„, ์„ค๋ช…)
load_module์˜ ํŒŒ์ผ "C:\Users\Pankaj\Anaconda3\lib\imp.py", 242ํ–‰
return load_dynamic(์ด๋ฆ„, ํŒŒ์ผ ์ด๋ฆ„, ํŒŒ์ผ)
load_dynamic์˜ ํŒŒ์ผ "C:\Users\Pankaj\Anaconda3\lib\imp.py", 342ํ–‰
๋ฐ˜ํ™˜ _load(์‚ฌ์–‘)
ImportError: DLL ๋กœ๋“œ ์‹คํŒจ: ์ง€์ •๋œ ๋ชจ๋“ˆ์„ ์ฐพ์„ ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค.

์œ„์˜ ์˜ˆ์™ธ๋ฅผ ์ฒ˜๋ฆฌํ•˜๋Š” ๋™์•ˆ ๋‹ค๋ฅธ ์˜ˆ์™ธ๊ฐ€ ๋ฐœ์ƒํ–ˆ์Šต๋‹ˆ๋‹ค.

์—ญ์ถ”์ (๊ฐ€์žฅ ์ตœ๊ทผ ํ˜ธ์ถœ ๋งˆ์ง€๋ง‰):
get_records์˜ "C:\Users\Pankaj\Anaconda3\lib\site-packages\IPython\core\ultratb.py" ํŒŒ์ผ, 1151ํ–‰
๋ฐ˜ํ™˜ _fixed_getinnerframes(etb, number_of_lines_of_context, tb_offset)
ํŒŒ์ผ "C:\Users\Pankaj\Anaconda3\lib\site-packages\IPython\core\ultratb.py", ์ค„ 319, ๋ž˜ํ•‘
๋ฐ˜ํ™˜ f( ์ธ์ˆ˜, * kwargs)
ํŒŒ์ผ "C:\Users\Pankaj\Anaconda3\lib\site-packages\IPython\core\ultratb.py", ๋ผ์ธ 353, _fixed_getinnerframes
๋ ˆ์ฝ”๋“œ = fix_frame_records_filenames(inspect.getinnerframes(etb, ์ปจํ…์ŠคํŠธ))
getinnerframes์˜ ํŒŒ์ผ "C:\Users\Pankaj\Anaconda3\lib\inspect.py", ๋ผ์ธ 1502
frameinfo = (tb.tb_frame,) + getframeinfo(tb, ์ปจํ…์ŠคํŠธ)
getframeinfo์˜ ํŒŒ์ผ "C:\Users\Pankaj\Anaconda3\lib\inspect.py", 1460ํ–‰
ํŒŒ์ผ ์ด๋ฆ„ = getsourcefile(ํ”„๋ ˆ์ž„) ๋˜๋Š” getfile(ํ”„๋ ˆ์ž„)
getsourcefile์˜ "C:\Users\Pankaj\Anaconda3\lib\inspect.py" ํŒŒ์ผ, 696ํ–‰
getattr(getmodule(object, filename), '__loader__', None)์ด None์ด ์•„๋‹Œ ๊ฒฝ์šฐ:
getmodule์˜ "C:\Users\Pankaj\Anaconda3\lib\inspect.py" ํŒŒ์ผ, 733ํ–‰
ismodule(module) ๋ฐ hasattr(module, '__file__'):
ํŒŒ์ผ "C:\Users\Pankaj\Anaconda3\lib\site-packagestensorflow__init__.py", 50ํ–‰, __getattr__
๋ชจ๋“ˆ = self._load()
ํŒŒ์ผ "C:\Users\Pankaj\Anaconda3\lib\site-packagestensorflow__init__.py", 44ํ–‰, _load
๋ชจ๋“ˆ = _importlib.import_module(self.__name__)
import_module์˜ ํŒŒ์ผ "C:\Users\Pankaj\Anaconda3\lib\importlib__init__.py", 127ํ–‰
return _bootstrap._gcd_import(์ด๋ฆ„[๋ ˆ๋ฒจ:], ํŒจํ‚ค์ง€, ๋ ˆ๋ฒจ)
ํŒŒ์ผ "", 1006ํ–‰, _gcd_import
ํŒŒ์ผ "", 983ํ–‰, _find_and_load
ํŒŒ์ผ "", 953ํ–‰, _find_and_load_unlocked
ํŒŒ์ผ "", 219ํ–‰, _call_with_frames_removed
ํŒŒ์ผ "", 1006ํ–‰, _gcd_import
ํŒŒ์ผ "", 983ํ–‰, _find_and_load
ํŒŒ์ผ "", 967ํ–‰, _find_and_load_unlocked
ํŒŒ์ผ "", 677ํ–‰, _load_unlocked
ํŒŒ์ผ "", exec_module์˜ 728ํ–‰
ํŒŒ์ผ "", 219ํ–‰, _call_with_frames_removed
ํŒŒ์ผ "C:\Users\Pankaj\Anaconda3\lib\site-packagestensorflow_core__init__.py", ๋ผ์ธ 42,
์—์„œ . _api.v2 ์˜ค๋””์˜ค ๊ฐ€์ ธ์˜ค๊ธฐ
ํŒŒ์ผ "C:\Users\Pankaj\Anaconda3\lib\site-packagestensorflow_core_api\v2\audio__init__.py", ๋ผ์ธ 10,
tensorflow.python.ops.gen_audio_ops์—์„œ import decode_wav
ํŒŒ์ผ "C:\Users\Pankaj\Anaconda3\lib\site-packagestensorflow_core\python\ops\gen_audio_ops.py", ๋ผ์ธ 9,
tensorflow.python์—์„œ pywrap_tensorflow๋ฅผ _pywrap_tensorflow๋กœ ๊ฐ€์ ธ์˜ต๋‹ˆ๋‹ค.
ํŒŒ์ผ "C:\Users\Pankaj\Anaconda3\lib\site-packagestensorflow__init__.py", 50ํ–‰, __getattr__
๋ชจ๋“ˆ = self._load()
ํŒŒ์ผ "C:\Users\Pankaj\Anaconda3\lib\site-packagestensorflow__init__.py", 44ํ–‰, _load
๋ชจ๋“ˆ = _importlib.import_module(self.__name__)
import_module์˜ ํŒŒ์ผ "C:\Users\Pankaj\Anaconda3\lib\importlib__init__.py", 127ํ–‰
return _bootstrap._gcd_import(์ด๋ฆ„[๋ ˆ๋ฒจ:], ํŒจํ‚ค์ง€, ๋ ˆ๋ฒจ)
ํŒŒ์ผ "C:\Users\Pankaj\Anaconda3\lib\site-packagestensorflow_core\python__init__.py", ๋ผ์ธ 49,
tensorflow.python์—์„œ ๊ฐ€์ ธ์˜ค๊ธฐ pywrap_tensorflow
ํŒŒ์ผ "C:\Users\Pankaj\Anaconda3\lib\site-packagestensorflow_core\python\pywrap_tensorflow.py", ๋ผ์ธ 74,
ImportError(msg) ๋ฐœ์ƒ
ImportError: ์—ญ์ถ”์ (๊ฐ€์žฅ ์ตœ๊ทผ ํ˜ธ์ถœ ๋งˆ์ง€๋ง‰):
run_code์˜ "C:\Users\Pankaj\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py" ํŒŒ์ผ, 3331ํ–‰
exec(code_obj, self.user_global_ns, self.user_ns)
ํŒŒ์ผ "", 1ํ–‰, ์—์„œ
flair_data, ot_data =load_dataset(๊ฒฝ๋กœ)
ํŒŒ์ผ "", 64ํ–‰, load_dataset
train_ot = np.vstack(train_ot)
ํŒŒ์ผ "<__array_function__ internals>", 6ํ–‰, vstack
ํŒŒ์ผ "C:\Users\Pankaj\Anaconda3\lib\site-packages\numpy\core\shape_base.py", 283ํ–‰, vstack
๋ฐ˜ํ™˜ _nx.concatenate(arrs, 0)
ํŒŒ์ผ "<__array_function__ internals>", 6ํ–‰, ์—ฐ๊ฒฐ
ValueError: ์—ฐ๊ฒฐํ•  ๋ฐฐ์—ด์ด ํ•˜๋‚˜ ์ด์ƒ ํ•„์š”ํ•ฉ๋‹ˆ๋‹ค.

์œ„์˜ ์˜ˆ์™ธ๋ฅผ ์ฒ˜๋ฆฌํ•˜๋Š” ๋™์•ˆ ๋‹ค๋ฅธ ์˜ˆ์™ธ๊ฐ€ ๋ฐœ์ƒํ–ˆ์Šต๋‹ˆ๋‹ค.

์—ญ์ถ”์ (๊ฐ€์žฅ ์ตœ๊ทผ ํ˜ธ์ถœ ๋งˆ์ง€๋ง‰):
showtraceback์—์„œ ํŒŒ์ผ "C:\Users\Pankaj\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py", ๋ผ์ธ 2044
stb = ๊ฐ’._render_traceback_()
AttributeError: 'ValueError' ๊ฐœ์ฒด์— '_render_traceback_' ์†์„ฑ์ด ์—†์Šต๋‹ˆ๋‹ค.

์œ„์˜ ์˜ˆ์™ธ๋ฅผ ์ฒ˜๋ฆฌํ•˜๋Š” ๋™์•ˆ ๋‹ค๋ฅธ ์˜ˆ์™ธ๊ฐ€ ๋ฐœ์ƒํ–ˆ์Šต๋‹ˆ๋‹ค.

์—ญ์ถ”์ (๊ฐ€์žฅ ์ตœ๊ทผ ํ˜ธ์ถœ ๋งˆ์ง€๋ง‰):
ํŒŒ์ผ "C:\Users\Pankaj\Anaconda3\lib\site-packagestensorflow_core\python\pywrap_tensorflow.py", 58ํ–‰,
tensorflow.python.pywrap_tensorflow_internal ๊ฐ€์ ธ์˜ค๊ธฐ์—์„œ *
ํŒŒ์ผ "C:\Users\Pankaj\Anaconda3\lib\site-packagestensorflow_core\python\pywrap_tensorflow_internal.py", 28ํ–‰,
_pywrap_tensorflow_internal = swig_import_helper()
ํŒŒ์ผ "C:\Users\Pankaj\Anaconda3\lib\site-packagestensorflow_core\python\pywrap_tensorflow_internal.py", 24ํ–‰, swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, ๊ฒฝ๋กœ ์ด๋ฆ„, ์„ค๋ช…)
load_module์˜ ํŒŒ์ผ "C:\Users\Pankaj\Anaconda3\lib\imp.py", 242ํ–‰
return load_dynamic(์ด๋ฆ„, ํŒŒ์ผ ์ด๋ฆ„, ํŒŒ์ผ)
load_dynamic์˜ ํŒŒ์ผ "C:\Users\Pankaj\Anaconda3\lib\imp.py", 342ํ–‰
๋ฐ˜ํ™˜ _load(์‚ฌ์–‘)
ImportError: DLL ๋กœ๋“œ ์‹คํŒจ: ์ง€์ •๋œ ๋ชจ๋“ˆ์„ ์ฐพ์„ ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค.

๊ธฐ๋ณธ TensorFlow ๋Ÿฐํƒ€์ž„์„ ๋กœ๋“œํ•˜์ง€ ๋ชปํ–ˆ์Šต๋‹ˆ๋‹ค.

https://www.tensorflow.org/install/errors ์ฐธ์กฐ

๋ช‡ ๊ฐ€์ง€ ์ผ๋ฐ˜์ ์ธ ์ด์œ ์™€ ์†”๋ฃจ์…˜ ๋•Œ๋ฌธ์ž…๋‹ˆ๋‹ค. ์ „์ฒด ์Šคํƒ ์ถ”์  ํฌํ•จ
๋„์›€์„ ์š”์ฒญํ•  ๋•Œ ์ด ์˜ค๋ฅ˜ ๋ฉ”์‹œ์ง€ ์œ„์— ํ‘œ์‹œ๋ฉ๋‹ˆ๋‹ค.

2019 ๋ฐ ๊ทธ ์ด์ „ ๋ฒ„์ „์„ ์„ค์น˜ํ•˜๋Š” ๊ฒฝ์šฐ Visual Studio์šฉ ์ตœ์‹  Microsoft Visual C++ ์žฌ๋ฐฐํฌ ๊ฐ€๋Šฅ ๋ฒ„์ „์„ ์ œ๊ฑฐํ•˜์‹ญ์‹œ์˜ค.

์ด ์›น ์‚ฌ์ดํŠธ์—์„œ ์‹œ์Šคํ…œ์— ๋”ฐ๋ผ Visual Studio 2015, 2017 ๋ฐ 2019์šฉ Microsoft Visual C++ ์žฌ๋ฐฐํฌ ๊ฐ€๋Šฅ ํŒจํ‚ค์ง€๋ฅผ x64 ๋˜๋Š” x86์œผ๋กœ ๋‹ค์šด๋กœ๋“œํ•˜์‹ญ์‹œ์˜ค.

https://support.microsoft.com/en-my/help/2977003/the-latest-supported-visual-c-downloads

2019 ๋ฐ ๊ทธ ์ด์ „ ๋ฒ„์ „์„ ์„ค์น˜ํ•˜๋Š” ๊ฒฝ์šฐ Visual Studio์šฉ ์ตœ์‹  Microsoft Visual C++ ์žฌ๋ฐฐํฌ ๊ฐ€๋Šฅ ๋ฒ„์ „์„ ์ œ๊ฑฐํ•˜์‹ญ์‹œ์˜ค.

์ด ์›น ์‚ฌ์ดํŠธ์—์„œ ์‹œ์Šคํ…œ์— ๋”ฐ๋ผ Visual Studio 2015, 2017 ๋ฐ 2019์šฉ Microsoft Visual C++ ์žฌ๋ฐฐํฌ ๊ฐ€๋Šฅ ํŒจํ‚ค์ง€๋ฅผ x64 ๋˜๋Š” x86์œผ๋กœ ๋‹ค์šด๋กœ๋“œํ•˜์‹ญ์‹œ์˜ค.

https://support.microsoft.com/en-my/help/2977003/the-latest-supported-visual-c-downloads

์•ˆ๋…•ํ•˜์„ธ์š” fitrialif๋‹˜,
๋‚˜๋Š” ๊ทธ Micrsoft Visual C++๋ฅผ ์„ค์น˜ํ–ˆ์Šต๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๋™์ผํ•œ ์˜ค๋ฅ˜๊ฐ€ ์ง€์†๋ฉ๋‹ˆ๋‹ค. ์„ค์น˜ํ•œ ํ›„ ๋‹ค๋ฅธ ์ž‘์—…(ํŒŒ์ผ ์ด๋™ ๋“ฑ)์„ ์ˆ˜ํ–‰ํ•ด์•ผ ํ•ฉ๋‹ˆ๊นŒ?

TF2.1์— ๋ฌธ์ œ๊ฐ€ ์žˆ๋Š” ๊ฒƒ ๊ฐ™์Šต๋‹ˆ๋‹ค.

TF2.0์œผ๋กœ ๋‹ค์šด ๊ทธ๋ ˆ์ด๋“œํ•˜๋ฉด ์ €์—๊ฒŒ ํšจ๊ณผ์ ์ด์—ˆ์Šต๋‹ˆ๋‹ค. pip install tensorflow==2.0

@pallyndr https://github.com/tensorflow/tensorflow/issues/22794#issuecomment -573297027์— ์–ธ๊ธ‰๋œ ๋Œ€๋กœ 2.1์šฉ ์ตœ์‹  MSVC ์žฌ๋ฐฐํฌ ๊ฐ€๋Šฅ ํŒจํ‚ค์ง€๋ฅผ ๋‹ค์šด๋กœ๋“œํ•ด์•ผ ํ•˜๊ธฐ ๋•Œ๋ฌธ์ž…๋‹ˆ๋‹ค.

๋ถˆํ–‰ํžˆ๋„ ์‚ฌ๋žŒ๋“ค์ด "๊ทธ๊ฒƒ์€ ์ €์—๊ฒŒ ํšจ๊ณผ์ ์ž…๋‹ˆ๋‹ค"/"๋‚˜๋Š” ๊ฐ™์€ ๋ฌธ์ œ๋ฅผ ๊ฒช๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค"/"์ด ๋‹ค๋ฅธ ์ผ์„ ํ•˜์—ฌ ํ•ด๊ฒฐํ–ˆ์Šต๋‹ˆ๋‹ค"๋กœ ์Šค๋ ˆ๋“œ๋ฅผ ๊ณ„์† ์Œ“์œผ๋ฉด์„œ ์œ„ ๋Œ“๊ธ€์˜ ์‹ค์ œ ์†”๋ฃจ์…˜์€ ๋ฌปํ˜”์Šต๋‹ˆ๋‹ค.

MSVC ๋ฐ CUDA(NVIDIA ์นด๋“œ ์‚ฌ์šฉ) ๋ฐ cuDNN์„ ๋‹ค์šด๋กœ๋“œํ•œ ํ›„ ์ž‘๋™ํ–ˆ์Šต๋‹ˆ๋‹ค.

์†”๋ฃจ์…˜์„ ์Œ์†Œ๊ฑฐํ•˜๋Š” ๋Œ“๊ธ€์„ ๋” ์ด์ƒ ๋ฐ›์ง€ ์•Š๋„๋ก ๋Œ€ํ™” ์ž ๊ธˆ

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