'잡동사니'에 해당되는 글 13653건

  1. 2025.09.04 ubuntu 22.04 + cuda + cudnn 설치
  2. 2025.09.04 import tensorflow illegal instruction
  3. 2025.09.03 eiq on windows with nvidia
  4. 2025.09.03 vainfo
  5. 2025.09.03 popos
  6. 2025.09.03 ubuntu nvidia 드라이버 설치
  7. 2025.09.02 gemini + blender / freecad token
  8. 2025.09.01 csm.ai
  9. 2025.09.01 GNS3
  10. 2025.09.01 gemini + ubuntu + uvx 등등등.. 뻘기록
embeded/i.mx 8m plus2025. 9. 4. 12:36

ubuntu 22.04 + cuda + cudnn 설치

 

압도적 감사!

그런데 비교해보니 환경변수가 필수였나.. 싶네

export PATH=/usr/local/cuda/bin:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH

[링크 : https://starlane.tistory.com/1]

[링크 : https://bo-10000.tistory.com/209]

 

 

+

하드웨어

i7-10700F / 3070 8GB

 

명령어. 나중에 nouveau 쪽 수행하지 말고 바로 nvidia-driver 설치해봐야 겠다. 그러면 제법 시간이 단축될 듯

sudo apt install build-essential gcc ubuntu-drivers-common dkms vim nvidia-modprobe
sudo apt-get update; sudo apt-get upgrade -y
sudo bash -c "echo blacklist nouveau > /etc/modprobe.d/blacklist-nvidia-nouveau.conf"
sudo bash -c "echo options nouveau modeset=0 >> /etc/modprobe.d/blacklist-nvidia-nouveau.conf"
cat /etc/modprobe.d/blacklist-nvidia-nouveau.conf 
sudo update-initramfs -u

# after reboot
lsmod | grep nouveau
ubuntu-drivers devices
sudo apt install nvidia-driver-575

# add environment variables
echo export PATH=/usr/local/cuda/bin:$PATH > ~/.bashrc
echo export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH > ~/.bashrc

wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-ubuntu2204.pin
sudo mv cuda-ubuntu2204.pin /etc/apt/preferences.d/cuda-repository-pin-600
wget https://developer.download.nvidia.com/compute/cuda/13.0.0/local_installers/cuda-repo-ubuntu2204-13-0-local_13.0.0-580.65.06-1_amd64.deb
sudo dpkg -i cuda-repo-ubuntu2204-13-0-local_13.0.0-580.65.06-1_amd64.deb
sudo cp /var/cuda-repo-ubuntu2204-13-0-local/cuda-BE1CC667-keyring.gpg /usr/share/keyrings/

sudo apt-get update
sudo apt-get -y install cuda-toolkit-13-0
sudo apt-get install -y cuda-drivers

# for test
nvcc -V


wget wget https://developer.download.nvidia.com/compute/cudnn/9.12.0/local_installers/cudnn-local-repo-ubuntu2204-9.12.0_1.0-1_amd64.deb
sudo dpkg -i cudnn-local-repo-ubuntu2204-9.12.0_1.0-1_amd64.deb
sudo cp /var/cudnn-local-repo-ubuntu2204-9.12.0/cudnn-*-keyring.gpg /usr/share/keyrings/

 

eIQ 설치를 위한 준비

sudo apt-get install libffi7

 

저작자표시 (새창열림)

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Posted by 구차니
embeded/i.mx 8m plus2025. 9. 4. 10:32

import tensorflow illegal instruction

신형을 쓰면 모를수도 있지만..

아무생각 없이 구형에 펜티엄 cpu를 쓰다보니 이 사단이 나버리는 구먼.. -_-

조사를 해보니 숫자가 비슷하긴 한데.. 세대가 많이 차이가 났구먼..

 

G3460 / 하스웰 펜티엄 / SSE4.2

[링크 : https://www.intel.co.kr/content/www/kr/ko/products/sku/83428/intel-pentium-processor-g3460-3m-cache-3-50-ghz/specifications.html]

 

G4400T / 스카이레이크 펜티엄 / SSE4.2

[링크 : https://www.intel.co.kr/content/www/kr/ko/products/sku/90614/intel-pentium-processor-g4400t-3m-cache-2-90-ghz/specifications.html]

 

치사(?)하게 셀러론과 펜티엄은 뺐고, 타이거레이크(11세대) 이후 부터 펜티엄과 셀러론에도 넣어주었다고

CPUs with AVX
Intel
Sandy Bridge processors (Q1 2011) and newer, except models branded as Celeron and Pentium.[9]
Pentium and Celeron branded processors starting with Tiger Lake (Q3 2020) and newer.[10]
AMD:
Bulldozer processors (Q4 2011) and newer.[11]
Issues regarding compatibility between future Intel and AMD processors are discussed under XOP instruction set.

VIA:
Nano QuadCore
Eden X4
Zhaoxin:
WuDaoKou-based processors (KX-5000 and KH-20000)

[링크 : https://en.wikipedia.org/wiki/Advanced_Vector_Extensions]

 

텐서플로우 릴리즈 노트 찾아보니 1.5.0 rc 부터 AVX 넣어놔서 안될수도 있다고 한다.

TensorFlow 1.5.1
Release 1.5.1
Bug Fixes and Other Changes
Fixes a potential security vulnerability where on-the-fly changes to the dtype of a tensor reference may lead to undefined behavior.
Linux binaries on pypi are built with AVX. Please use GCS binaries for non-AVX machines.

TensorFlow 1.5.0
Release 1.5.0
Breaking Changes
Prebuilt binaries are now built against CUDA 9 and cuDNN 7.
Starting from 1.6 release, our prebuilt binaries will use AVX instructions.
This may break TF on older CPUs.

[링크 : https://github.com/tensorflow/tensorflow/releases?q=avx&expanded=true]

[링크 : https://github.com/tensorflow/tensorflow/issues/17411]

[링크 : https://m.blog.naver.com/kimground/221552744535]

[링크 : https://hiseon.me/data-analytics/tensorflow/tensorflow-errors/]

저작자표시 (새창열림)

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Posted by 구차니
embeded/i.mx 8m plus2025. 9. 3. 17:41

eiq on windows with nvidia

G3460 / win 10 클린설치하고

nvidia 580.97 드라이버

cuda 13.0.0.0

cudnn 9.12.0 설치하고

eiq 1.16.0.106_b250703 을 설치하고 실행하는데 아래와 같이 뜨길래

해보니 결론은.. 

msvc++ redist 2015-2011 14.44.35211 설치하고 해결 -_-

 

그런데 왜 학습할 때 gpu 0% 뜨냐 -_-

 

C:\nxp\eIQ_Toolkit_v1.16.0>
]eIQ Portal version 2.16.0
------------------------------------------------
C:\nxp\eIQ_Toolkit_v1.16.0\resources\app.asar
------------------------------------------------
Launch -> C:\nxp\eIQ_Toolkit_v1.16.0
16:08:22.435 > Launching Application
Display size is 1920x1080
[2025-09-03T07:08:22.572Z] ExtensionHostController running as pid 7112

is-elevated: false
[2025-09-03T07:08:24.417Z] Socket.io logging server connected to socket 9rpMJdiuTUcknHa9AAAB
[2025-09-03T07:08:24.443Z] InstalledExtensionsReady barrier opened
(buffered) [2025-09-03T07:08:23.262Z] ExtensionHost running as pid 8976
(buffered) [2025-09-03T07:08:23.474Z] Connected to sqlite://C:\Users\user\AppData\Roaming\eiqportal-nodejs\Config\state.sqlite
(buffered) [2025-09-03T07:08:24.425Z] Preparing Python environment...
(buffered) [2025-09-03T07:08:24.426Z] Installing Flask@3.0.3
(buffered) [2025-09-03T07:08:24.427Z] Activated 5 extensions
- NXP.eiqtlk-ext-armvela version 1.3.1
   from C:\Users\user\.eiqportal\extensions\eiqtlk-ext-armvela
- nxp.explainability version 0.4.0
   from C:\Users\user\.eiqportal\extensions\eiqtlk-ext-explainability
- NXP.eiqtlk-ext-tao version 0.0.1
   from C:\Users\user\.eiqportal\extensions\eiqtlk-ext-tao
- NXP.eiqtlk-ext-vision-pipeline version 1.4.0-rc2
   from C:\Users\user\.eiqportal\extensions\eiqtlk-ext-vision-pipeline
- NXP.eiqtlk-ext-watermarking version 1.2.3
   from C:\Users\user\.eiqportal\extensions\eiqtlk-ext-watermarking
16:08:27.202 > [CONVERTER] failed to import eiq.modelserver
16:08:27.227 > [CONVERTER] Traceback (most recent call last):
  File "C:\nxp\eIQ_Toolkit_v1.16.0\python\Lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 70, in <module>
    from tensorflow.python._pywrap_tensorflow_internal import *
ImportError: DLL load failed while importing _pywrap_tensorflow_internal: DLL 占십깍옙화 占쏙옙틴占쏙옙 占쏙옙占쏙옙占쏙옙 占쏙옙 占쏙옙占쏙옙占싹댐옙.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:\nxp\eIQ_Toolkit_v1.16.0\python\Lib\site-packages\eiq\modelserver\__init__.py", line 4, in <module>
    import tensorflow as tf
  File "C:\nxp\eIQ_Toolkit_v1.16.0\python\Lib\site-packages\tensorflow\__init__.py", line 40, in <module>
    from tensorflow.python import pywrap_tensorflow as _pywrap_tensorflow  # pylint: disable=unused-import
  File "C:\nxp\eIQ_Toolkit_v1.16.0\python\Lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 85, in <module>
    raise ImportError(
ImportError: Traceback (most recent call last):
  File "C:\nxp\eIQ_Toolkit_v1.16.0\python\Lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 70, in <module>
    from tensorflow.python._pywrap_tensorflow_internal import *
ImportError: DLL load failed while importing _pywrap_tensorflow_internal: DLL 占십깍옙화 占쏙옙틴占쏙옙 占쏙옙占쏙옙占쏙옙 占쏙옙 占쏙옙占쏙옙占싹댐옙.


Failed to load the native TensorFlow runtime.
See https://www.tensorflow.org/install/errors for some common causes and solutions.
If you need help, create an issue at https://github.com/tensorflow/tensorflow/issues and include the entire stack trace above this error message.

16:08:27.280 > [TRAINER] failed to import eiq.trainer.server.__main__Traceback (most recent call last):
  File "C:\nxp\eIQ_Toolkit_v1.16.0\python\Lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 70, in <module>
    from tensorflow.python._pywrap_tensorflow_internal import *
ImportError: DLL load failed while importing _pywrap_tensorflow_internal: DLL 占십깍옙화 占쏙옙틴占쏙옙 占쏙옙占쏙옙占쏙옙 占쏙옙 占쏙옙占쏙옙占싹댐옙.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:\nxp\eIQ_Toolkit_v1.16.0\python\Lib\site-packages\eiq\trainer\server\__main__.py", line 3, in <module>

16:08:27.299 > [TRAINER] LOADING PYTHON -> C:\nxp\eIQ_Toolkit_v1.16.0\python\python310.dll
PYTHONPATH: C:\nxp\eIQ_Toolkit_v1.16.0\python;C:\nxp\eIQ_Toolkit_v1.16.0\python\DLLs;C:\nxp\eIQ_Toolkit_v1.16.0\python\Lib;C:\nxp\eIQ_Toolkit_v1.16.0\python\Lib\site-packages

16:08:27.323 > eiq-converter terminated
16:08:27.352 > [TRAINER]     from eiq.trainer.utils.messenger import ColoredPrint
  File "eiq/trainer/utils/messenger.py", line 3, in init eiq.trainer.utils.messenger
  File "C:\nxp\eIQ_Toolkit_v1.16.0\python\Lib\site-packages\tensorflow\__init__.py", line 40, in <module>
    from tensorflow.python import pywrap_tensorflow as _pywrap_tensorflow  # pylint: disable=unused-import
  File "C:\nxp\eIQ_Toolkit_v1.16.0\python\Lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 85, in <module>
    raise ImportError(
ImportError: Traceback (most recent call last):
  File "C:\nxp\eIQ_Toolkit_v1.16.0\python\Lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 70, in <module>
    from tensorflow.python._pywrap_tensorflow_internal import *
ImportError: DLL load failed while importing _pywrap_tensorflow_internal: DLL 占십깍옙화 占쏙옙틴占쏙옙 占쏙옙占쏙옙占쏙옙 占쏙옙 占쏙옙占쏙옙占싹댐옙.


Failed to load the native TensorFlow runtime.
See https://www.tensorflow.org/install/errors for some common causes and solutions.
If you need help, create an issue at https://github.com/tensorflow/tensorflow/issues and include the entire stack trace above this error message.

16:08:27.402 > eiq-trainer terminated
16:08:27.599 > [IMPORTER] Traceback (most recent call last):

16:08:27.622 > [IMPORTER]   File "C:\nxp\eIQ_Toolkit_v1.16.0\python\Lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 70, in <module>
    from tensorflow.python._pywrap_tensorflow_internal import *
ImportError: DLL load failed while importing _pywrap_tensorflow_internal: DLL 占십깍옙화 占쏙옙틴占쏙옙 占쏙옙占쏙옙占쏙옙 占쏙옙 占쏙옙占쏙옙占싹댐옙.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:\nxp\eIQ_Toolkit_v1.16.0\python\Lib\runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "C:\nxp\eIQ_Toolkit_v1.16.0\python\Lib\runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "C:\nxp\eIQ_Toolkit_v1.16.0\python\Lib\site-packages\eiq\importer\server\__main__.py", line 11, in <module>

16:08:27.653 > [IMPORTER]     from eiq.importer.datasets.TFDS_importer import TFDSDataset
  File "C:\nxp\eIQ_Toolkit_v1.16.0\python\Lib\site-packages\eiq\importer\datasets\TFDS_importer.py", line 1, in <module>
    import tensorflow as tf
  File "C:\nxp\eIQ_Toolkit_v1.16.0\python\Lib\site-packages\tensorflow\__init__.py", line 40, in <module>
    from tensorflow.python import pywrap_tensorflow as _pywrap_tensorflow  # pylint: disable=unused-import
  File "C:\nxp\eIQ_Toolkit_v1.16.0\python\Lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 85, in <module>
    raise ImportError(
ImportError: Traceback (most recent call last):
  File "C:\nxp\eIQ_Toolkit_v1.16.0\python\Lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 70, in <module>
    from tensorflow.python._pywrap_tensorflow_internal import *
ImportError: DLL load failed while importing _pywrap_tensorflow_internal: DLL 占십깍옙화 占쏙옙틴占쏙옙 占쏙옙占쏙옙占쏙옙 占쏙옙 占쏙옙占쏙옙占싹댐옙.


Failed to load the native TensorFlow runtime.
See https://www.tensorflow.org/install/errors for some common causes and solutions.
If you need help, create an issue at https://github.com/tensorflow/tensorflow/issues and include the entire stack trace above this error message.

16:08:27.802 > eiq-importer terminated
[2025-09-03T07:08:29.389Z] Extension host terminating: eIQ Portal shutdown
[2025-09-03T07:08:29.392Z] Deactivated all extensions
[2025-09-03T07:08:29.392Z] Backing up to C:\Users\user\AppData\Roaming\eiqportal-nodejs\Config\state.sqlite.backup
[TRAINER] Invalid Path
[DATASTORE] Shutting down...
TRAINER STOP ERROR: FetchError: request to http://127.0.0.1:10821/validate/stop failed, reason: connect ECONNREFUSED 127.0.0.1:10821
Uninstalled console patch
16:08:29.415 > eiq-validator terminated
16:08:29.426 > modelrunner client terminated
16:08:29.436 > modelrunner terminated
16:08:29.444 > modeleditor terminated
[2025-09-03T07:08:29.523Z] Extension host with pid 8976 exiting with code 0
[2025-09-03T07:08:29.577Z] ExtensionHost terminated with code 0 and signal null.
[2025-09-03T07:08:29.578Z] Closed Socket.io logging server
16:08:30.395 > eiq-datastore terminated
eIQ Portal Shutting Down...

 

 

[링크 : https://blog.naver.com/daebarq/222109221303]

[링크 : https://stackoverflow.com/questions/67259900/tensorflow-installation-on-windows-dll-load-failed-while-importing-pywrap-tens]

[링크 : https://blog.naver.com/se0_y/221986584579]

[링크 : https://learn.microsoft.com/en-us/cpp/windows/latest-supported-vc-redist?view=msvc-170]

[링크 : https://github.com/tensorflow/tensorflow/issues/22512]

 

저작자표시 (새창열림)

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Posted by 구차니
embeded/i.mx 8m plus2025. 9. 3. 11:06

vainfo

eiq 에서 libva 에러가 났는데

wayland에서 x.org로 바꾸니 에러가 발생하지 않는다. 중요한(?) 에러는 아니었는 듯.

 

$ cat /proc/cpuinfo 
model name : Intel(R) Core(TM) i7-10510U CPU @ 1.80GHz

$ vainfo
libva info: VA-API version 1.14.0
libva info: Trying to open /usr/lib/x86_64-linux-gnu/dri/iHD_drv_video.so
libva info: Found init function __vaDriverInit_1_14
libva info: va_openDriver() returns 0
vainfo: VA-API version: 1.14 (libva 2.12.0)
vainfo: Driver version: Intel iHD driver for Intel(R) Gen Graphics - 22.3.1 ()
vainfo: Supported profile and entrypoints
      VAProfileMPEG2Simple            : VAEntrypointVLD
      VAProfileMPEG2Main              : VAEntrypointVLD
      VAProfileH264Main               : VAEntrypointVLD
      VAProfileH264Main               : VAEntrypointEncSliceLP
      VAProfileH264High               : VAEntrypointVLD
      VAProfileH264High               : VAEntrypointEncSliceLP
      VAProfileJPEGBaseline           : VAEntrypointVLD
      VAProfileJPEGBaseline           : VAEntrypointEncPicture
      VAProfileH264ConstrainedBaseline: VAEntrypointVLD
      VAProfileH264ConstrainedBaseline: VAEntrypointEncSliceLP
      VAProfileVP8Version0_3          : VAEntrypointVLD
      VAProfileHEVCMain               : VAEntrypointVLD
      VAProfileHEVCMain10             : VAEntrypointVLD
      VAProfileVP9Profile0            : VAEntrypointVLD
      VAProfileVP9Profile2            : VAEntrypointVLD

 

G3460 + nvidia 1060

$ cat /proc/cpuinfo 
model name : Intel(R) Pentium(R) CPU G3460 @ 3.50GHz

$ cat log 
$ vainfo
libva info: VA-API version 1.14.0
libva info: Trying to open /usr/lib/x86_64-linux-gnu/dri/nvidia_drv_video.so
libva info: va_openDriver() returns -1
vaInitialize failed with error code -1 (unknown libva error),exit

 

$ LIBVA_DRIVER_NAME=iHD vainfo 
libva info: VA-API version 1.14.0
libva info: User environment variable requested driver 'iHD'
libva info: Trying to open /usr/lib/x86_64-linux-gnu/dri/iHD_drv_video.so
libva info: Found init function __vaDriverInit_1_14
DRM_IOCTL_I915_GEM_APERTURE failed: Invalid argument
Assuming 131072kB available aperture size.
May lead to reduced performance or incorrect rendering.
get chip id failed: -1 [22]
param: 4, val: 0
libva error: /usr/lib/x86_64-linux-gnu/dri/iHD_drv_video.so init failed
libva info: va_openDriver() returns 18
vaInitialize failed with error code 18 (invalid parameter),exit

 

G3460 

$ vainfo
libva info: VA-API version 1.14.0
libva info: Trying to open /usr/lib/x86_64-linux-gnu/dri/iHD_drv_video.so
libva info: Found init function __vaDriverInit_1_14
libva error: /usr/lib/x86_64-linux-gnu/dri/iHD_drv_video.so init failed
libva info: va_openDriver() returns 1
libva info: Trying to open /usr/lib/x86_64-linux-gnu/dri/i965_drv_video.so
libva info: Found init function __vaDriverInit_1_10
libva info: va_openDriver() returns 0
vainfo: VA-API version: 1.14 (libva 2.12.0)
vainfo: Driver version: Intel i965 driver for Intel(R) Haswell Desktop - 2.4.1
vainfo: Supported profile and entrypoints
      VAProfileMPEG2Simple            : VAEntrypointVLD
      VAProfileMPEG2Simple            : VAEntrypointEncSlice
      VAProfileMPEG2Main              : VAEntrypointVLD
      VAProfileMPEG2Main              : VAEntrypointEncSlice
      VAProfileH264ConstrainedBaseline: VAEntrypointVLD
      VAProfileH264ConstrainedBaseline: VAEntrypointEncSlice
      VAProfileH264Main               : VAEntrypointVLD
      VAProfileH264Main               : VAEntrypointEncSlice
      VAProfileH264High               : VAEntrypointVLD
      VAProfileH264High               : VAEntrypointEncSlice
      VAProfileH264MultiviewHigh      : VAEntrypointVLD
      VAProfileH264MultiviewHigh      : VAEntrypointEncSlice
      VAProfileH264StereoHigh         : VAEntrypointVLD
      VAProfileH264StereoHigh         : VAEntrypointEncSlice
      VAProfileVC1Simple              : VAEntrypointVLD
      VAProfileVC1Main                : VAEntrypointVLD
      VAProfileVC1Advanced            : VAEntrypointVLD
      VAProfileNone                   : VAEntrypointVideoProc
      VAProfileJPEGBaseline           : VAEntrypointVLD

[링크 : https://github.com/elFarto/nvidia-vaapi-driver/issues/272]

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파일방2025. 9. 3. 10:49

popos

이사님께서 nvidia 드라이버 깔기 짜증나는데 신경안써도 되는 좋은(!) OS가 있다고 해서 찾아봄

system76 이라는 하드웨어 생산업체가 ubuntu를 기반으로 rust로 갈아 엎었다는데 잘 모르겠네

 

[링크 : https://system76.com/pop/?srsltid=AfmBOory8SE6glZ2D4ND5kih8A5wB-pJnSS6SXs-5mfQwRsNyX-AJ4mo]

[링크 : https://system76.com/]

[링크 : https://ko.wikipedia.org/wiki/Pop!_OS]

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embeded/i.mx 8m plus2025. 9. 3. 10:41

ubuntu nvidia 드라이버 설치

 

sudo add-apt-repository ppa:graphics-drivers/ppa
ubuntu-drivers devices
sudo ubuntu-drivers autoinstall

 

$ ubuntu-drivers devices
== /sys/devices/pci0000:00/0000:00:01.0/0000:01:00.0 ==
modalias : pci:v000010DEd00001C03sv000010DEsd00000000bc03sc00i00
vendor   : NVIDIA Corporation
model    : GP106 [GeForce GTX 1060 6GB]
driver   : nvidia-driver-550 - distro non-free
driver   : nvidia-driver-470 - distro non-free
driver   : nvidia-driver-450-server - distro non-free
driver   : nvidia-driver-565 - third-party non-free
driver   : nvidia-driver-575 - distro non-free recommended
driver   : nvidia-driver-580 - third-party non-free
driver   : nvidia-driver-470-server - distro non-free
driver   : nvidia-driver-575-server - distro non-free
driver   : nvidia-driver-570 - third-party non-free
driver   : nvidia-driver-545 - distro non-free
driver   : nvidia-driver-535 - distro non-free
driver   : nvidia-driver-418-server - distro non-free
driver   : nvidia-driver-390 - distro non-free
driver   : nvidia-driver-570-server - distro non-free
driver   : nvidia-driver-535-server - distro non-free
driver   : xserver-xorg-video-nouveau - distro free builtin

 

sudo apt-get install nvidia-driver-580

 

리부팅 이후

$ nvidia-smi
Wed Sep  3 10:53:56 2025       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 580.76.05              Driver Version: 580.76.05      CUDA Version: 13.0     |
+-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA GeForce GTX 1060 6GB    Off |   00000000:01:00.0  On |                  N/A |
| 42%   38C    P8              6W /  120W |     172MiB /   6144MiB |      1%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
|        ID   ID                                                               Usage      |
|=========================================================================================|
|    0   N/A  N/A             976      G   /usr/lib/xorg/Xorg                       73MiB |
|    0   N/A  N/A            1271      G   /usr/bin/gnome-shell                     86MiB |
+-----------------------------------------------------------------------------------------+

[링크 : https://2dudwns.tistory.com/20]

 

cuda 설치도 패키지로..!

sudo apt-get install nvidia-cuda-toolkit
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프로그램 사용/MCP ai2025. 9. 2. 11:12

gemini + blender / freecad token

gemini를 MCP 로 연동해서 핸드폰 거치대를 만드는데

사용되는 토큰이 많이 차이나서 신기해 하는 중.

조작하는 문법이 많이 달라서 그런가?

 

blender

╭─────────────────────────────────────────────────────────────────────╮
│  > blender로 핸드폰 거치대를 그려줘 크기는 갤럭시 S25 에 맞게 해줘  │
╰─────────────────────────────────────────────────────────────────────╯

╭────────────────────────────────────────────────────────────╮
│  > 데모용으로 사용할 제품 동영상을 만들어줘 30초 분량으로  │
╰────────────────────────────────────────────────────────────╯

 

 

freecad

╭────────────────────────────────────────────────────────────────╮
│  > freecad 에서 갤럭시 S23 거치대를 만들어줘. 색상은 화이트로  │
╰────────────────────────────────────────────────────────────────╯
╭──────────────────────────────────────────────╮
│  > 색상을 빨간색-주황색으로 그라데이션 해줘  │
╰──────────────────────────────────────────────╯

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프로그램 사용/MCP ai2025. 9. 1. 23:24

csm.ai

csm.ai 판촉(?)을 위한 blender MCP 였나.. 아무튼 csm.ai 보니

샘플로 간단한거 5개 뽑는게 한계일 것 같고, 결국에는 월 결제 해야지 멀 해먹을 수 있을 듯

 

[링크 : https://www.csm.ai/blog/csm-blender-mcp]

[링크 : https://www.csm.ai/]

 

free only 5 credit 이라고 되어있는데 이게 매달 차는것 같긴한데..

 

하단의 FAQ를 보면 swift re-topology 부터는 써보지도 못하는 수준.

[링크 : https://3d.csm.ai/pricing]

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파일방2025. 9. 1. 22:36

GNS3

시스코 스위치랑 라우터 사서 공부해볼까 하다가

프로그램으로도 웬만큼 해볼수 있다고 해서 고민중

그래도 실장비가 있는게 기분이 조크든요~ ㅋㅋ

 

Packet Tracer나 GNS3

[링크 : https://www.reddit.com/r/ccna/comments/i2e56g/best_router_switch_combination_for_ccnaccnp/?tl=ko]

[링크 : https://www.gns3.com/]

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프로그램 사용/MCP ai2025. 9. 1. 16:26

gemini + ubuntu + uvx 등등등.. 뻘기록

gemini 매번 켜서 확인하기 귀찮아서 찾는데, mcp만 확인할 수 있는 명령이 있는 것 같다.

$ gemini mcp
gemini mcp

Manage MCP servers

명령:
  gemini mcp add   [args...]  Add a server
  gemini mcp remove                         Remove a server
  gemini mcp list                                 List all configured MCP servers

옵션:
  -h, --help  도움말 표시                                                                                                                                                      [불리언]

You need at least one command before continuing.

 

아무튼 도대체 저 uvx freecad-mcp는 왜 안돼냐??!

$ gemini mcp list
Configured MCP servers:

✓ freecad: /usr/bin/python3 /home/user/.FreeCAD/Mod/freecad_mcp/src/freecad_bridge.py (stdio) - Connected
✗ freecad2: /snap/bin/uvx freecad-mcp (stdio) - Disconnected

 

그래서 pypi에서 찾으니.. 어...

ubuntu 22.04 사용중이라 python이 3.10.. 흐음.. 설치하면 안되는거고..

$ pip3 install freecad-mcp
Defaulting to user installation because normal site-packages is not writeable
ERROR: Ignored the following versions that require a different python version: 0.1.0 Requires-Python >=3.12; 0.1.1 Requires-Python >=3.12; 0.1.10 Requires-Python >=3.12; 0.1.11 Requires-Python >=3.12; 0.1.12 Requires-Python >=3.12; 0.1.13 Requires-Python >=3.12; 0.1.2 Requires-Python >=3.12; 0.1.3 Requires-Python >=3.12; 0.1.4 Requires-Python >=3.12; 0.1.5 Requires-Python >=3.12; 0.1.6 Requires-Python >=3.12; 0.1.7 Requires-Python >=3.12; 0.1.8 Requires-Python >=3.12; 0.1.9 Requires-Python >=3.12; 0.1.9.1 Requires-Python >=3.12
ERROR: Could not find a version that satisfies the requirement freecad-mcp (from versions: none)
ERROR: No matching distribution found for freecad-mcp

[링크 : https://pypi.org/project/freecad-mcp/]

 

python3.12를 추가로 설치하고 해도 안되는건 매한가지인데..

[링크 : https://blog.naver.com/chandong83/223339889839]

 

3.12가 기본인 배포판 가면 좀 편하게 가능하려나?

 

 

+

[링크 : https://blog.choonzang.com/it/python/2733/]

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