eIQ Toolkit 1.16 does not work in Ubuntu 22.04

deneriz — Fri, 01 Aug 2025 07:56:04 GMT

I've downloaded eIQ Toolkit 1.16.0.106 Ubuntu Installer and installed it with:

chmod +x eiq-toolkit-v1.16.0.106-1_amd64_b250703.deb.bin sudo ./eiq-toolkit-v1.16.0.106-1_amd64_b250703.deb.bin

If I launch the eIQ Toolkit portal I get the following:

source /opt/nxp/eIQ_Toolkit_v1.16.0/bin/eiqenv.sh && /opt/nxp/eIQ_Toolkit_v1.16.0/eiq-portal eIQ Portal version 2.16.0 ------------------------------------------------ /opt/nxp/eIQ_Toolkit_v1.16.0/resources/app.asar ------------------------------------------------ Launch -> /opt/nxp/eIQ_Toolkit_v1.16.0 is-elevated: false 09:36:34.254 › Launching Application Display size is 1920x1080 [2025-08-01T07:36:34.582Z] ExtensionHostController running as pid 23867 [2025-08-01T07:36:35.018Z] InstalledExtensionsReady barrier opened [2025-08-01T07:36:35.049Z] Socket.io logging server connected to socket COKliSleb6yc_PxXAAAB (buffered) [2025-08-01T07:36:34.906Z] ExtensionHost running as pid 23976 (buffered) [2025-08-01T07:36:35.036Z] Connected to sqlite:///home/deneriz/.config/eiqportal-nodejs/state.sqlite 09:36:35.133 › [CONVERTER] 2025-08-01 09:36:35.129579: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:477] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered 09:36:35.144 › [CONVERTER] WARNING: All log messages before absl::InitializeLog() is called are written to STDERR E0000 00:00:1754033795.144002 24023 cuda_dnn.cc:8310] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered 09:36:35.148 › [CONVERTER] E0000 00:00:1754033795.148069 24023 cuda_blas.cc:1418] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered 09:36:35.162 › [CONVERTER] 2025-08-01 09:36:35.161826: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 AVX_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. 09:36:35.238 › [TRAINER] 2025-08-01 09:36:35.237425: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:477] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered 09:36:35.253 › [TRAINER] WARNING: All log messages before absl::InitializeLog() is called are written to STDERR E0000 00:00:1754033795.252816 24037 cuda_dnn.cc:8310] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered 09:36:35.257 › [TRAINER] E0000 00:00:1754033795.257420 24037 cuda_blas.cc:1418] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered 09:36:35.273 › [TRAINER] 2025-08-01 09:36:35.273235: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 AVX_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. 09:36:35.319 › [IMPORTER] 2025-08-01 09:36:35.318661: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:477] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered 09:36:35.335 › [IMPORTER] WARNING: All log messages before absl::InitializeLog() is called are written to STDERR E0000 00:00:1754033795.335405 24038 cuda_dnn.cc:8310] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered 09:36:35.340 › [IMPORTER] E0000 00:00:1754033795.340386 24038 cuda_blas.cc:1418] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered 09:36:35.355 › [IMPORTER] 2025-08-01 09:36:35.354815: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 AVX_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. [2025-08-01T07:36:35.435Z] Socket.io logging server connected to socket qQ74H5beOrLxNSpSAAAD libva error: vaGetDriverNameByIndex() failed with unknown libva error, driver_name = (null) libva error: vaGetDriverNameByIndex() failed with unknown libva error, driver_name = (null) libva error: vaGetDriverNameByIndex() failed with unknown libva error, driver_name = (null) libva error: vaGetDriverNameByIndex() failed with unknown libva error, driver_name = (null) 0%| | 0/1 [00:00<?, ?it/s] [23867:0801/093636.004460:FATAL:gpu_data_manager_impl_private.cc(415)] GPU process isn't usable. Goodbye.

However, my GPU is CUDA usable:

I'm on Ubuntu 22.04:

lsb_release -a No LSB modules are available. Distributor ID: Ubuntu Description: Ubuntu 22.04.5 LTS Release: 22.04 Codename: jammy

Where can I find the official installation instructions for eIQ Toolkit 1.16? Is there a way to launch the eIQ Toolkit without GPU? Why the eIQ Toolkit Portal not booting?

Re: eIQ Toolkit 1.16 does not work in Ubuntu 22.04

deneriz — Thu, 11 Sep 2025 10:28:14 GMT

Duplicate of https://community.nxp.com/t5/Other-NXP-Products/eIQ-Toolkit-does-not-work-in-Ubuntu-22-04/m-p/2167348

topic eIQ Toolkit 1.16 does not work in Ubuntu 22.04 in Other NXP Products

eIQ Toolkit 1.16 does not work in Ubuntu 22.04

Re: eIQ Toolkit 1.16 does not work in Ubuntu 22.04