'잡동사니'에 해당되는 글 13659건

  1. 2025.09.05 nnstreamer ubuntu package
  2. 2025.09.05 gemini + claude MCP
  3. 2025.09.05 mean Average Precision(mAP)
  4. 2025.09.05 내장 그래픽으로 ROCm?
  5. 2025.09.05 eiq 데이터 구조
  6. 2025.09.04 ai 모델들 조사
  7. 2025.09.04 ubuntu 22.04 + cuda + cudnn 설치
  8. 2025.09.04 import tensorflow illegal instruction
  9. 2025.09.03 eiq on windows with nvidia
  10. 2025.09.03 vainfo

mobivius 가 있긴한데.. 해봐? ㅋㅋㅋ

 

Getting Started: Ubuntu-PPA Install
Install via PPA repository (Ubuntu)
The nnstreamer releases are at a PPA repository. In order to install it, use:

$ sudo apt-add-repository ppa:nnstreamer
$ sudo apt install nnstreamer

Additional plugins available
nnstreamer-caffe2 : Allows to use caffe2 models in a pipeline. (From pytorch 1.3.1 by default)
nnstreamer-cpp : Allows to use C++ classes as filters of a pipeline.
nnstreamer-cpp-dev : Required to build C++ class-filters.
nnstreamer-dev : Required to build C function-filters and to build your own nnstreamer plugins.
nnstreamer-edgetpu : Allows to use edge-TPU in a pipeline.
nnstreamer-flatbuf : Allows to convert-from and decode-to flatbuf streams.
nnstreamer-misc: Provides additional gstreamer plugins for nnstreamer pipelines. Included plugins: join.
nnstreamer-openvino : Allows to use OpenVINO (Intel), enabling Movidius-X.
nnstreamer-protobuf : Allows to convert-from and decode-to protobuf streams.
nnstreamer-python2 : Allows to use python2 classes as filters of a pipeline.
nnstreamer-python3 : Allows to use python3 classes as filters of a pipeline.
nnstreamer-pytorch : Allows to use Pytorch models in a pipeline. (From pytorch 1.3.1 by default)
nnstreamer-tensorflow : Allows to use TensorFlow models in a pipeline. (From tensorflow 1.13.1 by default)
nnstreamer-tensorflow-lite : Allows to use TensorFlow-lite models in a pipeline. (From tensorflow 1.13.1 by default)

[링크 : https://nnstreamer.github.io/getting-started-ubuntu-ppa.html]

 

대행으로 하나 살거 알리에서 x4 x1 하나씩 사도 되겠네?!

[링크 : https://ko.aliexpress.com/item/1005005293216124.html]

[링크 : http://itempage3.auction.co.kr/DetailView.aspx?itemno=D855895973]

'프로그램 사용 > intel ncs2' 카테고리의 다른 글

movidius MyriadX * 2  (1) 2025.01.08
innodisk egpa-i201-c1 Movidius Myriad X  (0) 2025.01.06
openvino myriad  (2) 2025.01.04
intel NCS2 ubuntu 설치?  (0) 2020.10.21
intel ncs2 설치  (0) 2020.10.21
Posted by 구차니

claude 에 gemini를 넣어서 하는건데 한번 시도해봐야겠다.

 

[링크 : https://toyourlight.tistory.com/152]

[링크 : https://apidog.com/kr/blog/gemini-mcp-claude-code-kr/]

'프로그램 사용 > MCP ai' 카테고리의 다른 글

gemini + blender / freecad token  (0) 2025.09.02
csm.ai  (0) 2025.09.01
gemini + ubuntu + uvx 등등등.. 뻘기록  (0) 2025.09.01
claude desktop  (0) 2025.08.31
Posted by 구차니

eIQ에서 학습하는데 train mean Average Precision 라고 써있어서 먼가 했는데

학습시에 얼마나 잘 배우고 있냐 라는 지표중에 하나라고 한다.

ROI가 얼마나 정확하게 모든 이미지에 대해서 측정하고 평균내면 그게 mAP 라고

 

[링크 : https://ctkim.tistory.com/entry/mAPMean-Average-Precision-정리]

[링크 : https://wikidocs.net/162466]

[링크 : https://littlefoxdiary.tistory.com/126]

 

그런데 학습시키면서 0.2 정도에서 수렴을 하면서 학습이 중단되는데 머가 잘못설정되서 그런걸까?

몇개글을 찾아봐도 eIQ에서 설정 가능한 항목들이 아닌것 같은데

python으로 직접 학습시켜봐야하나...

[링크 : https://github.com/ultralytics/ultralytics/issues/10226]

[링크 : https://stackoverflow.com/questions/78558728/yolo-training-with-low-precision-and-low-map]

[링크 : https://stackoverflow.com/questions/48595240/map-decreasing-with-training-tensorflow-object-detection-ssd]

'프로그램 사용 > yolo_tensorflow' 카테고리의 다른 글

내장 그래픽으로 ROCm?  (0) 2025.09.05
ai 모델들 조사  (0) 2025.09.04
NMS, soft-NMS  (0) 2024.01.15
VGG-16 / VGG-19  (0) 2024.01.11
MobileNetV2 SSD FPN-Lite  (0) 2024.01.11
Posted by 구차니

tensorflow 보면 대개 nvidia만 쓰게 되어있는데, 어떻게 tensorflow에서 AMD 쓸수 있대서 찾아보는 중

[링크 : https://yhu0409.tistory.com/14]

 

nartmada
on Mar 22, 2024
Collaborator
Hi @CardLin, unfortunately 5700G APU is not a supported HW and the workaround environment flags will have performance impact. Sorry, there will be no fix in future ROCm release for this Cezanne APU issue. Closing the ticket.

[링크 : https://github.com/ROCm/ROCm/issues/2964]

 

AMD "Vega" Architecture Gets No More ROCm Updates After Release 5.6
by btarunr Jul 3rd, 2023 14:55 Discuss (42 Comments)

[링크 : https://www.techpowerup.com/310764/amd-vega-architecture-gets-no-more-rocm-updates-after-release-5-6]

 

우분투에서 ROCm 지원하다가 vega 에 대해서는 추가 지원이 없다고 한다.

현재 최신이 6.4.3인데 5.6까지 밖에 지원안한다라..(혹은 더이상의 버그 픽스만 없다면 쓸수는 있다는건가?)

[링크 : https://rocm.docs.amd.com/en/latest/release/versions.html]

 

그럼.. 이걸 해보려면 노트북을 밀어야겠...네?!

윈도우 11도 마음에 안드는데 이 기회에?!?! ㅋㅋ

'프로그램 사용 > yolo_tensorflow' 카테고리의 다른 글

mean Average Precision(mAP)  (0) 2025.09.05
ai 모델들 조사  (0) 2025.09.04
NMS, soft-NMS  (0) 2024.01.15
VGG-16 / VGG-19  (0) 2024.01.11
MobileNetV2 SSD FPN-Lite  (0) 2024.01.11
Posted by 구차니
embeded/i.mx 8m plus2025. 9. 5. 10:39

크게 세 가지가 가능한데

VOC dataset은 detection을 위한 것이고

structured folder는 classification

tfds는 classification과 detection 모두를 위한 것인데...

 

3.3.1 VOC dataset
VOC datasets are introduced in Pascal Visual Object Classes Challenge. This format is also used by the ImageNet
datasets. Images and labels in this dataset can be used to train detection models.

 

3.3.2 Structured folders dataset
Using the Import dataset screen, you can also import datasets that have a specific folder structure. These datasets do
not have to be compressed into TAR files as with VOC datasets. The only requirement is that the images are saved in
specific folders. The datasets created this way can be used to train models for classification tasks.

 

3.3.3 TFDS datasets
TFDS datasets allow you to import some of the datasets provided by tensorflow in their catalog here. The tool allows
you to download datasets for image classification and object detection.

 

그러면 segmentation은 누구냐..

문서 상에서는 cli를 통해서 직접해야 하는건가..

7.1 Image segmentation
The following models target the image segmentation use case:
• deeplab_v3
To run the “deeplab” model, the workspace\models\deeplab_v3\runner_demo.py script runs the inference using the
converted model on the target device and decodes the output. You may also inspect the Python code. The script sends
a simple HTTP request to the device and the rest of the script decodes the output. There are also a few images available
for testing in the imgs folder.

'embeded > i.mx 8m plus' 카테고리의 다른 글

ubuntu 22.04 + cuda + cudnn 설치  (0) 2025.09.04
import tensorflow illegal instruction  (0) 2025.09.04
eiq on windows with nvidia  (0) 2025.09.03
vainfo  (0) 2025.09.03
ubuntu nvidia 드라이버 설치  (0) 2025.09.03
Posted by 구차니

1060 6GB 가 내가 가진 가장 좋은(?) 녀석이라

이것에서 돌릴만한 LLM 이나 모델들 찾아보는 중.

 

3070 6GB로 돌리는 GAN 모델

[링크 : https://marcus-story.tistory.com/170]

 

gtx1060 6GB로 돌릴만한 LLM 모델

[링크 : https://www.virtualizationhowto.com/2025/05/still-worth-it-running-ai-workloads-on-a-gtx-1060-in-2025/]

 

 

'프로그램 사용 > yolo_tensorflow' 카테고리의 다른 글

mean Average Precision(mAP)  (0) 2025.09.05
내장 그래픽으로 ROCm?  (0) 2025.09.05
NMS, soft-NMS  (0) 2024.01.15
VGG-16 / VGG-19  (0) 2024.01.11
MobileNetV2 SSD FPN-Lite  (0) 2024.01.11
Posted by 구차니
embeded/i.mx 8m plus2025. 9. 4. 12:36

 

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

 

'embeded > i.mx 8m plus' 카테고리의 다른 글

eiq 데이터 구조  (0) 2025.09.05
import tensorflow illegal instruction  (0) 2025.09.04
eiq on windows with nvidia  (0) 2025.09.03
vainfo  (0) 2025.09.03
ubuntu nvidia 드라이버 설치  (0) 2025.09.03
Posted by 구차니
embeded/i.mx 8m plus2025. 9. 4. 10:32

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 newerexcept 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/]

'embeded > i.mx 8m plus' 카테고리의 다른 글

eiq 데이터 구조  (0) 2025.09.05
ubuntu 22.04 + cuda + cudnn 설치  (0) 2025.09.04
eiq on windows with nvidia  (0) 2025.09.03
vainfo  (0) 2025.09.03
ubuntu nvidia 드라이버 설치  (0) 2025.09.03
Posted by 구차니
embeded/i.mx 8m plus2025. 9. 3. 17:41

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]

 

'embeded > i.mx 8m plus' 카테고리의 다른 글

ubuntu 22.04 + cuda + cudnn 설치  (0) 2025.09.04
import tensorflow illegal instruction  (0) 2025.09.04
vainfo  (0) 2025.09.03
ubuntu nvidia 드라이버 설치  (0) 2025.09.03
eiq 에러들  (0) 2025.08.26
Posted by 구차니
embeded/i.mx 8m plus2025. 9. 3. 11:06

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]

'embeded > i.mx 8m plus' 카테고리의 다른 글

import tensorflow illegal instruction  (0) 2025.09.04
eiq on windows with nvidia  (0) 2025.09.03
ubuntu nvidia 드라이버 설치  (0) 2025.09.03
eiq 에러들  (0) 2025.08.26
eiq 학습 시도  (0) 2025.08.26
Posted by 구차니