It’s CUDA: 11.4.315 on Jetpack 5.1.4 [L4T 35.6.0].
How to install CUDA 11.8 on Jetpack 5.1.4 L4T 35.6, which is stable CUDA for pytorch?
Hi,
Please find below link:
Thanks.
Thanks @AastaLLL, Ubuntu 20.04 only supports CUDA up to version 12.3. Starting from CUDA 12.4, it requires Ubuntu 22.04.
@AastaLLL After install CUDA 11.8, I found “NVIDIA CUDA: YES (ver 11.4, CUFFT CUBLAS FAST_MATH)”. Why it’s 11.4?
Software part of jetson-stats 4.2.12 - (c) 2024, Raffaello Bonghi
Model: NVIDIA Orin Nano Developer Kit - Jetpack 5.1.4 [L4T 35.6.0]
NV Power Mode[0]: 15W
Serial Number: [XXX Show with: jetson_release -s XXX]
Hardware:
- P-Number: p3767-0005
- Module: NVIDIA Jetson Orin Nano (Developer kit)
Platform:
- Distribution: Ubuntu 20.04 focal
- Release: 5.10.216-tegra
jtop:
- Version: 4.2.12
- Service: Active
Libraries:
- CUDA: 11.8.89
- cuDNN: 8.6.0.166
- TensorRT: 8.5.2.2
- VPI: 2.4.8
- Vulkan: 1.3.204
- OpenCV: 4.9.0 - with CUDA: YES
DeepStream C/C++ SDK version: 6.3
Python Environment:
Python 3.8.10
GStreamer: YES (1.16.3)
NVIDIA CUDA: YES (ver 11.4, CUFFT CUBLAS FAST_MATH)
OpenCV version: 4.9.0 CUDA True
YOLO version: 8.3.33
Torch version: 2.5.1+l4t35.6
Torchvision version: 0.20.1a0+3ac97aa
DeepStream SDK version: 1.1.8
Hi,
It looks like CUDA is 11.8 in your environment:
...
Libraries:
- CUDA: 11.8.89
Thanks
But it’s 11.4 in python environment, why 11.4 not 11.8?
$ python3 -c "import cv2; print(cv2.getBuildInformation())"|grep CUDA
NVIDIA CUDA: YES (ver 11.4, CUFFT CUBLAS FAST_MATH)
Hi,
Does it indicate pycuda?
If yes, have you built it with CUDA 11.8?
Usually, it builds the library from the source when installing.
Thanks.
But there is no pycuda version here, which version should I use to build with 11.8, any recommendation?
I think pycuda repo is here: GitHub - inducer/pycuda: CUDA integration for Python, plus shiny features
$ python3 -c "import cv2; print(cv2.getBuildInformation())"
General configuration for OpenCV 4.9.0 =====================================
Version control: 4.9.0
Extra modules:
Location (extra): /tmp/build_opencv/opencv_contrib/modules
Version control (extra): 4.9.0
Platform:
Timestamp: 2024-11-20T00:58:27Z
Host: Linux 5.10.216-tegra aarch64
CMake: 3.31.0
CMake generator: Unix Makefiles
CMake build tool: /usr/bin/make
Configuration: RELEASE
CPU/HW features:
Baseline: NEON FP16
required: NEON
Dispatched code generation: NEON_DOTPROD NEON_FP16
requested: NEON_FP16 NEON_BF16 NEON_DOTPROD
NEON_DOTPROD (1 files): + NEON_DOTPROD
NEON_FP16 (2 files): + NEON_FP16
C/C++:
Built as dynamic libs?: YES
C++ standard: 11
C++ Compiler: /usr/bin/c++ (ver 9.4.0)
C++ flags (Release): -fsigned-char -W -Wall -Wreturn-type -Wnon-virtual-dtor -Waddress -Wsequence-point -Wformat -Wformat-security -Wmissing-declarations -Wundef -Winit-self -Wpointer-arith -Wshadow -Wsign-promo -Wuninitialized -Wsuggest-override -Wno-delete-non-virtual-dtor -Wno-comment -Wimplicit-fallthrough=3 -Wno-strict-overflow -fdiagnostics-show-option -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -fvisibility=hidden -fvisibility-inlines-hidden -O3 -DNDEBUG -DNDEBUG
C++ flags (Debug): -fsigned-char -W -Wall -Wreturn-type -Wnon-virtual-dtor -Waddress -Wsequence-point -Wformat -Wformat-security -Wmissing-declarations -Wundef -Winit-self -Wpointer-arith -Wshadow -Wsign-promo -Wuninitialized -Wsuggest-override -Wno-delete-non-virtual-dtor -Wno-comment -Wimplicit-fallthrough=3 -Wno-strict-overflow -fdiagnostics-show-option -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -fvisibility=hidden -fvisibility-inlines-hidden -g -O0 -DDEBUG -D_DEBUG
C Compiler: /usr/bin/cc
C flags (Release): -fsigned-char -W -Wall -Wreturn-type -Waddress -Wsequence-point -Wformat -Wformat-security -Wmissing-declarations -Wmissing-prototypes -Wstrict-prototypes -Wundef -Winit-self -Wpointer-arith -Wshadow -Wuninitialized -Wno-comment -Wimplicit-fallthrough=3 -Wno-strict-overflow -fdiagnostics-show-option -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -fvisibility=hidden -O3 -DNDEBUG -DNDEBUG
C flags (Debug): -fsigned-char -W -Wall -Wreturn-type -Waddress -Wsequence-point -Wformat -Wformat-security -Wmissing-declarations -Wmissing-prototypes -Wstrict-prototypes -Wundef -Winit-self -Wpointer-arith -Wshadow -Wuninitialized -Wno-comment -Wimplicit-fallthrough=3 -Wno-strict-overflow -fdiagnostics-show-option -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -fvisibility=hidden -g -O0 -DDEBUG -D_DEBUG
Linker flags (Release): -Wl,--gc-sections -Wl,--as-needed -Wl,--no-undefined
Linker flags (Debug): -Wl,--gc-sections -Wl,--as-needed -Wl,--no-undefined
ccache: YES
Precompiled headers: NO
Extra dependencies: m pthread cudart_static dl rt nppc nppial nppicc nppidei nppif nppig nppim nppist nppisu nppitc npps cublas cudnn cufft -L/usr/local/cuda/lib64 -L/usr/lib/aarch64-linux-gnu
3rdparty dependencies:
OpenCV modules:
To be built: alphamat aruco bgsegm bioinspired calib3d ccalib core cudaarithm cudabgsegm cudacodec cudafeatures2d cudafilters cudaimgproc cudalegacy cudaobjdetect cudaoptflow cudastereo cudawarping cudev datasets dnn dnn_objdetect dnn_superres dpm face features2d flann freetype fuzzy hfs highgui img_hash imgcodecs imgproc intensity_transform line_descriptor mcc ml objdetect optflow phase_unwrapping photo plot python3 quality rapid reg rgbd saliency sfm shape stereo stitching structured_light superres surface_matching text tracking video videoio videostab wechat_qrcode xfeatures2d ximgproc xobjdetect xphoto
Disabled: world
Disabled by dependency: -
Unavailable: cannops cvv gapi hdf java julia matlab ovis python2 ts viz
Applications: apps
Documentation: NO
Non-free algorithms: YES
GUI: GTK3
GTK+: YES (ver 3.24.20)
GThread : YES (ver 2.64.6)
GtkGlExt: NO
OpenGL support: NO
VTK support: NO
Media I/O:
ZLib: /usr/lib/aarch64-linux-gnu/libz.so (ver 1.2.11)
JPEG: /usr/lib/aarch64-linux-gnu/libjpeg.so (ver 80)
WEBP: build (ver encoder: 0x020f)
PNG: /usr/lib/aarch64-linux-gnu/libpng.so (ver 1.6.37)
TIFF: /usr/lib/aarch64-linux-gnu/libtiff.so (ver 42 / 4.1.0)
JPEG 2000: build (ver 2.5.0)
OpenEXR: build (ver 2.3.0)
HDR: YES
SUNRASTER: YES
PXM: YES
PFM: YES
Video I/O:
DC1394: YES (2.2.6)
FFMPEG: YES
avcodec: YES (58.54.100)
avformat: YES (58.29.100)
avutil: YES (56.31.100)
swscale: YES (5.5.100)
avresample: YES (4.0.0)
GStreamer: YES (1.16.3)
v4l/v4l2: YES (linux/videodev2.h)
Parallel framework: pthreads
Trace: YES (with Intel ITT)
Other third-party libraries:
Lapack: YES (/usr/lib/aarch64-linux-gnu/liblapack.so /usr/lib/aarch64-linux-gnu/libcblas.so /usr/lib/aarch64-linux-gnu/libatlas.so)
Eigen: YES (ver 3.3.7)
Custom HAL: YES (carotene (ver 0.0.1, Auto detected))
Protobuf: build (3.19.1)
Flatbuffers: builtin/3rdparty (23.5.9)
NVIDIA CUDA: YES (ver 11.4, CUFFT CUBLAS FAST_MATH)
NVIDIA GPU arch: 53 62 72 87
NVIDIA PTX archs:
cuDNN: YES (ver 8.6.0)
OpenCL: YES (no extra features)
Include path: /tmp/build_opencv/opencv/3rdparty/include/opencl/1.2
Link libraries: Dynamic load
Python 3:
Interpreter: /usr/bin/python3 (ver 3.8.10)
Libraries: /usr/lib (ver 3.8.10)
numpy: /usr/local/lib/python3.8/dist-packages/numpy/core/include (ver 1.23.5)
install path: /usr/local/lib/python3.8/dist-packages/cv2/python-3.8
Python (for build): /usr/bin/python3
Java:
ant: NO
Java: NO
JNI: NO
Java wrappers: NO
Java tests: NO
Install to: /usr/local
-----------------------------------------------------------------
Hi,
Have you tried the OpenCV GPU functionality?
If it can work as expected, you may just ignore the message.
Thanks.
1 Like
Thanks @AastaLLL
YES, I just found out: It’s OpenCV version issue not pyCUDA. Anyway, I have got pyCUDA upgraded.
NVIDIA CUDA: YES (ver 11.4, CUFFT CUBLAS FAST_MATH) It comes from OpenCV.