I tried both approaches, but getting the same status for cuda:
nvidia@ubuntu:~/Desktop$ jetson_release -v
NVIDIA Jetson UNKNOWN
Jetpack UNKNOWN [L4T 34.1.1]
NV Power Mode: MAXN - Type: 0
jetson_stats.service: active
Board info:
Type: UNKNOWN
SOC Family: tegra23x - ID:
Module: UNKNOWN - Board: P3737-000
Code Name: concord
CUDA GPU architecture (ARCH_BIN): NONE
Serial Number: 1421622124328
Libraries:
CUDA: NOT_INSTALLED
cuDNN: 8.3.2.49
TensorRT: 8.4.0.11
Visionworks: NOT_INSTALLED
OpenCV: 4.5.4 compiled CUDA: NO
VPI: ii libnvvpi2 2.0.14 arm64 NVIDIA Vision Programming Interface library
Vulkan: 1.3.203
jetson-stats:
Version 3.1.4
Works on Python 3.8.10
in the sdkmanager, all the packages installed successfully.
I tried to flash the jetson orin with jetpack version 5.0 but still the same status for cuda.
This is the output of nvcc --version:
nvidia@ubuntu:~/Desktop$ nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2021 NVIDIA Corporation
Built on Thu_Nov_11_23:44:05_PST_2021
Cuda compilation tools, release 11.4, V11.4.166
Build cuda_11.4.r11.4/compiler.30645359_0
nvidia@ubuntu:~/Desktop$ python3
Python 3.8.10 (default, Jun 22 2022, 20:18:18)
[GCC 9.4.0] on linux
Type “help”, “copyright”, “credits” or “license” for more information.
import torch
torch.cuda.is_available()
False
This is the output of sudo apt install cuda-toolkit-11-4
Are you able to use CUDA or not? I mean currently it looks like the issue is “jetson_release -v” cannot tell you whether the CUDA is installed or not.
But nvcc is already installed and gave you ther version number. The issue looks like just “jetson_release” does not work well but not “cuda cannot be installed”.
Also, just in case you don’t know, this “jetson_release” is not an official tool released by us, so we are not sure whether it has problem in detecting or not.
I believe that jetson_stats has not been released by @rbonghi for JetPack 5.0 yet, so that may explain why jetson_release tool isn’t reporting correctly. If CUDA Toolkit can be found under /usr/local/cuda, then it should already be installed.
$ cd /usr/local/cuda/samples/1_Utilities/deviceQuery
$ sudo make
$ ./deviceQuery
./deviceQuery Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)
Detected 1 CUDA Capable device(s)
Device 0: "Orin"
CUDA Driver Version / Runtime Version 11.4 / 11.4
CUDA Capability Major/Minor version number: 8.7
Total amount of global memory: 30623 MBytes (32110190592 bytes)
(008) Multiprocessors, (128) CUDA Cores/MP: 1024 CUDA Cores
GPU Max Clock rate: 1300 MHz (1.30 GHz)
Memory Clock rate: 1300 Mhz
Memory Bus Width: 128-bit
L2 Cache Size: 4194304 bytes
Maximum Texture Dimension Size (x,y,z) 1D=(131072), 2D=(131072, 65536), 3D=(16384, 16384, 16384)
Maximum Layered 1D Texture Size, (num) layers 1D=(32768), 2048 layers
Maximum Layered 2D Texture Size, (num) layers 2D=(32768, 32768), 2048 layers
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 49152 bytes
Total shared memory per multiprocessor: 167936 bytes
Total number of registers available per block: 65536
Warp size: 32
Maximum number of threads per multiprocessor: 1536
Maximum number of threads per block: 1024
Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
Max dimension size of a grid size (x,y,z): (2147483647, 65535, 65535)
Maximum memory pitch: 2147483647 bytes
Texture alignment: 512 bytes
Concurrent copy and kernel execution: Yes with 2 copy engine(s)
Run time limit on kernels: No
Integrated GPU sharing Host Memory: Yes
Support host page-locked memory mapping: Yes
Alignment requirement for Surfaces: Yes
Device has ECC support: Disabled
Device supports Unified Addressing (UVA): Yes
Device supports Managed Memory: Yes
Device supports Compute Preemption: Yes
Supports Cooperative Kernel Launch: Yes
Supports MultiDevice Co-op Kernel Launch: Yes
Device PCI Domain ID / Bus ID / location ID: 0 / 0 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 11.4, CUDA Runtime Version = 11.4, NumDevs = 1
Result = PASS
If that works, then your CUDA driver should be fine.