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'embeded/i.mx 8m plus'에 해당되는 글 31건
- 2026.02.10 g2d_surface g2d_blit()
- 2025.09.16 eiq 모델 정리
- 2025.09.05 eiq 데이터 구조
- 2025.09.04 ubuntu 22.04 + cuda + cudnn 설치
- 2025.09.04 import tensorflow illegal instruction
- 2025.09.03 eiq on windows with nvidia
- 2025.09.03 vainfo
- 2025.09.03 ubuntu nvidia 드라이버 설치
- 2025.08.26 eiq 에러들
- 2025.08.26 eiq 학습 시도
embeded/i.mx 8m plus2026. 2. 10. 12:45
embeded/i.mx 8m plus2025. 9. 16. 12:11
오디오와 비디오로 크게 나뉘고
비디오에서는 classification / obejct detection / segmentation 정도가 현재 관심사
sementic segmentation과 instance-segmentation 차이는 멀까?
| List of domains Audio anomaly detection command recognition speech recognition Vision classification face recognition object detection pose estimation semantic segmentation super resolution instance-segmentation low-light enhancement |
[링크 : https://github.com/NXP/eiq-model-zoo]
텍스트로 넣으니 css 때문에 깨져서 이미지로 복사 -_-
selfie-segmenter는 proprietary dataset이었군..
[링크 : https://github.com/NXP/eiq-model-zoo/tree/main/products]
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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. |
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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 |
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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
G4400T / 스카이레이크 펜티엄 / SSE4.2
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/]
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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://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]
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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]
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embeded/i.mx 8m plus2025. 9. 3. 10:41
| 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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embeded/i.mx 8m plus2025. 8. 26. 15:08
| FATAL:gpu_data_manager_impl_private.cc(415)] GPU process isn't usable. Goodbye. |
|
It is Electron issue, when Electron-libs don't match your system --in-process-gpu option helps as workaround.
Also --disable-gpu-sandbox or --no-sandbox options helps too |
[링크 : https://github.com/Automattic/simplenote-electron/issues/3096]
| $ sudo ./eiq-portal [37727:0826/154023.382498:FATAL:electron_main_delegate.cc(252)] Running as root without --no-sandbox is not supported. See https://crbug.com/638180. Trace/breakpoint trap |
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embeded/i.mx 8m plus2025. 8. 26. 11:53
cpu로 일단 굴리는 중 (g4400t야 힘내!!)
cpu라 학습도 느리고, 1000번 정도 돌린걸로는 0.1 정도 밖에 안되서
다시 0.9를 넘길때 까지 무한 뺑뻉이 돌리는 중
현재까진 윈도우에서만 되고
ubuntu 22.04 + eiq 1.16 실패
ubuntu 22.04 + eiq 1.16 실패.
전찬리에 실패중!
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