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Setup log of Jetson Nano
nvidia@nvidia-nano:~$ cat /proc/cpuinfo
processor : 0
model name : ARMv8 Processor rev 1 (v8l)
BogoMIPS : 38.40
Features : fp asimd evtstrm aes pmull sha1 sha2 crc32
CPU implementer : 0x41
CPU architecture: 8
CPU variant : 0x1
CPU part : 0xd07
CPU revision : 1
processor : 1
model name : ARMv8 Processor rev 1 (v8l)
BogoMIPS : 38.40
Features : fp asimd evtstrm aes pmull sha1 sha2 crc32
CPU implementer : 0x41
CPU architecture: 8
CPU variant : 0x1
CPU part : 0xd07
CPU revision : 1
processor : 2
model name : ARMv8 Processor rev 1 (v8l)
BogoMIPS : 38.40
Features : fp asimd evtstrm aes pmull sha1 sha2 crc32
CPU implementer : 0x41
CPU architecture: 8
CPU variant : 0x1
CPU part : 0xd07
CPU revision : 1
processor : 3
model name : ARMv8 Processor rev 1 (v8l)
BogoMIPS : 38.40
Features : fp asimd evtstrm aes pmull sha1 sha2 crc32
CPU implementer : 0x41
CPU architecture: 8
CPU variant : 0x1
CPU part : 0xd07
CPU revision : 1
nvidia@nvidia-nano:~$ lscpu
Architecture: aarch64
Byte Order: Little Endian
CPU(s): 4
On-line CPU(s) list: 0-3
Thread(s) per core: 1
Core(s) per socket: 4
Socket(s): 1
Vendor ID: ARM
Model: 1
Model name: Cortex-A57
Stepping: r1p1
CPU max MHz: 1428.0000
CPU min MHz: 102.0000
BogoMIPS: 38.40
L1d cache: 32K
L1i cache: 48K
L2 cache: 2048K
Flags: fp asimd evtstrm aes pmull sha1 sha2 crc32
nvidia@nvidia-nano:~$ ls
Desktop Documents Downloads examples.desktop Music Pictures Public Templates Videos
nvidia@nvidia-nano:~$ cat /sys/bus/cpu/devices/cpu?/cpufreq/cpuinfo_max_freq
1428000
1428000
1428000
1428000
nvidia@nvidia-nano:~$ uname -a
Linux nvidia-nano 4.9.140-tegra #1 SMP PREEMPT Tue Jul 16 17:04:49 PDT 2019 aarch64 aarch64 aarch64 GNU/Linux
nvidia@nvidia-nano:~$ lsb_release -a
No LSB modules are available.
Distributor ID: Ubuntu
Description: Ubuntu 18.04.2 LTS
Release: 18.04
Codename: bionic
nvidia@nvidia-nano:~$ gcc -v
Using built-in specs.
COLLECT_GCC=gcc
COLLECT_LTO_WRAPPER=/usr/lib/gcc/aarch64-linux-gnu/7/lto-wrapper
Target: aarch64-linux-gnu
Configured with: ../src/configure -v --with-pkgversion='Ubuntu/Linaro 7.4.0-1ubuntu1~18.04.1' --with-bugurl=file:///usr/share/doc/gcc-7/README.Bugs --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++ --prefix=/usr --with-gcc-major-version-only --program-suffix=-7 --program-prefix=aarch64-linux-gnu- --enable-shared --enable-linker-build-id --libexecdir=/usr/lib --without-included-gettext --enable-threads=posix --libdir=/usr/lib --enable-nls --with-sysroot=/ --enable-clocale=gnu --enable-libstdcxx-debug --enable-libstdcxx-time=yes --with-default-libstdcxx-abi=new --enable-gnu-unique-object --disable-libquadmath --disable-libquadmath-support --enable-plugin --enable-default-pie --with-system-zlib --enable-multiarch --enable-fix-cortex-a53-843419 --disable-werror --enable-checking=release --build=aarch64-linux-gnu --host=aarch64-linux-gnu --target=aarch64-linux-gnu
Thread model: posix
gcc version 7.4.0 (Ubuntu/Linaro 7.4.0-1ubuntu1~18.04.1)
nvidia@nvidia-nano:~$ nvcc -v
-bash: nvcc: command not found
nvidia@nvidia-nano:~$ /usr/local/cuda
cuda/ cuda-10.0/
nvidia@nvidia-nano:~$ /usr/local/cuda-10.0/bin/nvcc -v
nvcc fatal : No input files specified; use option --help for more information
nvidia@nvidia-nano:~$ /usr/local/cuda-10.0/bin/nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2019 NVIDIA Corporation
Built on Mon_Mar_11_22:13:24_CDT_2019
Cuda compilation tools, release 10.0, V10.0.326
nvidia@nvidia-nano:~$ xxd -e -g8 /proc/self/auxv
00000000: 0000000000000021 0000007f92ef4000 !........@......
00000010: 0000000000000010 00000000000000ff ................
00000020: 0000000000000006 0000000000001000 ................
00000030: 0000000000000011 0000000000000064 ........d.......
00000040: 0000000000000003 00000055859d9040 ........@...U...
00000050: 0000000000000004 0000000000000038 ........8.......
00000060: 0000000000000005 0000000000000008 ................
00000070: 0000000000000007 0000007f92ec9000 ................
00000080: 0000000000000008 0000000000000000 ................
00000090: 0000000000000009 00000055859db1a4 ............U...
000000a0: 000000000000000b 00000000000003e8 ................
000000b0: 000000000000000c 00000000000003e8 ................
000000c0: 000000000000000d 00000000000003e8 ................
000000d0: 000000000000000e 00000000000003e8 ................
000000e0: 0000000000000017 0000000000000000 ................
000000f0: 0000000000000019 0000007fe8d6d208 ................
00000100: 000000000000001f 0000007fe8d6dfeb ................
00000110: 000000000000000f 0000007fe8d6d218 ................
00000120: 0000000000000000 0000000000000000 ................
nvidia@nvidia-nano:~$ ccache --version
-bash: ccache: command not found
nvidia@nvidia-nano:~$ cmake --version
-bash: cmake: command not found
nvidia@nvidia-nano:~$ cd /usr/local/cuda-10.0/samples/1_Utilities/deviceQuery
nvidia@nvidia-nano:/usr/local/cuda-10.0/samples/1_Utilities/deviceQuery$ sudo -E make
[sudo] password for nvidia:
/usr/local/cuda-10.0/bin/nvcc -ccbin g++ -I../../common/inc -m64 -gencode arch=compute_30,code=sm_30 -gencode arch=compute_32,code=sm_32 -gencode arch=compute_53,code=sm_53 -gencode arch=compute_61,code=sm_61 -gencode arch=compute_62,code=sm_62 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_72,code=sm_72 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_75,code=compute_75 -o deviceQuery.o -c deviceQuery.cpp
/usr/local/cuda-10.0/bin/nvcc -ccbin g++ -m64 -gencode arch=compute_30,code=sm_30 -gencode arch=compute_32,code=sm_32 -gencode arch=compute_53,code=sm_53 -gencode arch=compute_61,code=sm_61 -gencode arch=compute_62,code=sm_62 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_72,code=sm_72 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_75,code=compute_75 -o deviceQuery deviceQuery.o
mkdir -p ../../bin/aarch64/linux/release
cp deviceQuery ../../bin/aarch64/linux/release
nvidia@nvidia-nano:/usr/local/cuda-10.0/samples/1_Utilities/deviceQuery$ ./deviceQuery
./deviceQuery Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)
Detected 1 CUDA Capable device(s)
Device 0: "NVIDIA Tegra X1"
CUDA Driver Version / Runtime Version 10.0 / 10.0
CUDA Capability Major/Minor version number: 5.3
Total amount of global memory: 3956 MBytes (4148543488 bytes)
( 1) Multiprocessors, (128) CUDA Cores/MP: 128 CUDA Cores
GPU Max Clock rate: 922 MHz (0.92 GHz)
Memory Clock rate: 13 Mhz
Memory Bus Width: 64-bit
L2 Cache Size: 262144 bytes
Maximum Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536, 65536), 3D=(4096, 4096, 4096)
Maximum Layered 1D Texture Size, (num) layers 1D=(16384), 2048 layers
Maximum Layered 2D Texture Size, (num) layers 2D=(16384, 16384), 2048 layers
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 49152 bytes
Total number of registers available per block: 32768
Warp size: 32
Maximum number of threads per multiprocessor: 2048
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 1 copy engine(s)
Run time limit on kernels: Yes
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 Compute Preemption: No
Supports Cooperative Kernel Launch: No
Supports MultiDevice Co-op Kernel Launch: No
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 = 10.0, CUDA Runtime Version = 10.0, NumDevs = 1
Result = PASS
nvidia@nvidia-nano:~$ ssh-keygen -t ecdsa
nvidia@nvidia-nano:~$ time sudo apt update && time sudo apt upgrade
189 packages can be upgraded. Run 'apt list --upgradable' to see them.
real 0m14.716s
user 0m10.680s
sys 0m1.776s
nvidia@nvidia-nano:~$ time git clone git@github.com:opencv/opencv.git opencv-fork
nvidia@nvidia-nano:~$ time git clone git@github.com:opencv/opencv_contrib.git
nvidia@nvidia-nano:~$ time git clone git@github.com:opencv/opencv_extra.git
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