So, when I do the above items exactly, when I come to this item, when I type cd Linux_for_Tegra, it doesn’t go away because there is no such thing.
One question here. Did you ever know what is Linux_for_Tegra directory … or this is your first time knowing this thing…
I don’t know, I want you to help
When you install sdkmanager in the first comment, it will install Linux_for_Tegra to default path ~/nvidia on your host pc.
I’ll try it and come back again
What I don’t understand here is, should I plug the USB into the Jetson device or into my host machine?
host machine.
What should I write instead of here?
What should I write instead of <board> here?
You should fill in jetson-nano-devkit-emmc.
this is the problem
sudo rsync -axHAWX --numeric-ids --info=progress2 --exclude=/proc ./tmp_system/ /mnt
rsync: failed to set times on "/mnt/.": Read-only file system (30)
rsync: recv_generator: failed to stat "/mnt/README.txt": Input/output error (5)
rsync: recv_generator: mkdir "/mnt/bin" failed: Input/output error (5)
*** Skipping any contents from this failed directory ***
rsync: recv_generator: mkdir "/mnt/boot" failed: Input/output error (5)
*** Skipping any contents from this failed directory ***
rsync: recv_generator: mkdir "/mnt/dev" failed: Input/output error (5)
*** Skipping any contents from this failed directory ***
rsync: recv_generator: mkdir "/mnt/etc" failed: Input/output error (5)
*** Skipping any contents from this failed directory ***
0 0% 0.00kB/s 0:00:00 (xfr#0, ir-chk=1238/4001)
rsync: recv_generator: mkdir "/mnt/home" failed: Input/output error (5)
*** Skipping any contents from this failed directory ***
rsync: recv_generator: mkdir "/mnt/lib" failed: Input/output error (5)
*** Skipping any contents from this failed directory ***
0 0% 0.00kB/s 0:00:00 (xfr#0, ir-chk=2308/9618)
rsync: recv_generator: mkdir "/mnt/lost+found" failed: Input/output error (5)
*** Skipping any contents from this failed directory ***
rsync: recv_generator: mkdir "/mnt/media" failed: Input/output error (5)
*** Skipping any contents from this failed directory ***
rsync: recv_generator: mkdir "/mnt/mnt" failed: Input/output error (5)
*** Skipping any contents from this failed directory ***
rsync: recv_generator: mkdir "/mnt/opt" failed: Input/output error (5)
*** Skipping any contents from this failed directory ***
rsync: recv_generator: mkdir "/mnt/root" failed: Input/output error (5)
*** Skipping any contents from this failed directory ***
rsync: recv_generator: mkdir "/mnt/run" failed: Input/output error (5)
*** Skipping any contents from this failed directory ***
rsync: recv_generator: mkdir "/mnt/sbin" failed: Input/output error (5)
*** Skipping any contents from this failed directory ***
rsync: recv_generator: mkdir "/mnt/snap" failed: Input/output error (5)
*** Skipping any contents from this failed directory ***
rsync: recv_generator: mkdir "/mnt/srv" failed: Input/output error (5)
*** Skipping any contents from this failed directory ***
rsync: recv_generator: mkdir "/mnt/sys" failed: Input/output error (5)
*** Skipping any contents from this failed directory ***
rsync: recv_generator: mkdir "/mnt/tmp" failed: Input/output error (5)
*** Skipping any contents from this failed directory ***
rsync: recv_generator: mkdir "/mnt/usr" failed: Input/output error (5)
*** Skipping any contents from this failed directory ***
0 0% 0.00kB/s 0:00:00 (xfr#0, ir-chk=1726/155303)
rsync: recv_generator: mkdir "/mnt/var" failed: Input/output error (5)
*** Skipping any contents from this failed directory ***
0 0% 0.00kB/s 0:00:00 (xfr#0, to-chk=0/166860)
rsync error: some files/attrs were not transferred (see previous errors) (code 23) at main.c(1196) [sender=3.1.2]
Did you mount your USB drive on /mnt/?
I really think you should do some basic Googling instead of putting everything you get here and asking for a step-by-step tutorial.
hi again,
my jetson nano is succesfully boot from usb and now I’m wathing this course
https://courses.nvidia.com/courses/course-v1:DLI+S-RX-02+V2/course/
but this command ı use
# create a reusable script
echo "sudo docker run --runtime nvidia -it --rm --network host \
--volume ~/nvdli-data:/nvdli-nano/data \
--device /dev/video0 \
nvcr.io/nvidia/dli/dli-nano-ai:v2.0.2-r32.7.1" > docker_dli_run.sh
# make the script executable
chmod +x docker_dli_run.sh
# run the script
./docker_dli_run.sh
my jetson nano is the result error code :
sudo docker run --runtime nvidia -it --rm --network host \
> --volume ~/nvdli-data:/nvdli-nano/data \
> --device /dev/video0 \
unexpected fault address 0x2400212fc28
fatal error: fault
[signal SIGSEGV: segmentation violation code=0x1 addr=0x2400212fc28 pc=0x55650a0944]
goroutine 1 [running, locked to thread]:
runtime.throw({0x556619ecb6?, 0x5565de4d60?})
/usr/lib/go-1.18/src/runtime/panic.go:992 +0x50 fp=0x400059f5e0 sp=0x400059f5b0 pc=0x5565090840
runtime.sigpanic()
/usr/lib/go-1.18/src/runtime/signal_unix.go:825 +0x1a4 fp=0x400059f610 sp=0x400059f5e0 pc=0x55650a6e34
runtime: unexpected return pc for runtime.doInit called from 0x5566723580
stack: frame={sp:0x400059f620, fp:0x400059f760} stack=[0x4000580000,0x40005a0000)
0x000000400059f520: 0x0000000000000001 0x000000400059f568
0x000000400059f530: 0x0000005565092890 <runtime.printstring+0x0000000000000050> 0x0000005566431ba8
0x000000400059f540: 0x0000000000000001 0x0000000000000001
0x000000400059f550: 0x00000055650a6e1c <runtime.sigpanic+0x000000000000018c> 0x000000400059f568
0x000000400059f560: 0x0000005565090a20 <runtime.fatalthrow+0x0000000000000040> 0x000000400059f5a8
0x000000400059f570: 0x0000005565090840 <runtime.throw+0x0000000000000050> 0x000000400059f588
0x000000400059f580: 0x0000000000000001 0x0000005565090a40 <runtime.fatalthrow.func1+0x0000000000000000>
0x000000400059f590: 0x00000040000021a0 0x0000005565090840 <runtime.throw+0x0000000000000050>
0x000000400059f5a0: 0x000000400059f5b0 0x000000400059f5d8
0x000000400059f5b0: 0x00000055650a6e34 <runtime.sigpanic+0x00000000000001a4> 0x000000400059f5c0
0x000000400059f5c0: 0x0000005565090860 <runtime.throw.func1+0x0000000000000000> 0x000000556619ecb6
0x000000400059f5d0: 0x0000000000000005 0x000000400059f568
0x000000400059f5e0: 0x00000055650a0944 <runtime.doInit+0x0000000000000064> 0x000000556619ecb6
0x000000400059f5f0: 0x0000005565de4d60 <github.com/docker/cli/vendor/github.com/googleapis/gnostic/OpenAPIv2.init.1+0x0000000000000070> 0x000002400212fc28
0x000000400059f600: 0x00000040000021a0 0x000000400059f688
0x000000400059f610: 0x00000055650a0950 <runtime.doInit+0x0000000000000070> 0xd100005566831cf8
0x000000400059f620: <0x0000005566723580 0xd1b06b3f72b8598e
0x000000400059f630: 0x000000556681c4f8 0x0000005566723580
0x000000400059f640: 0x0000000000000000 0x0000005566723580
0x000000400059f650: 0x00000040000fdb80 0x000000400059f6a8
0x000000400059f660: 0x00000055650a0a18 <runtime.doInit+0x0000000000000138> 0x00000055665c0000
0x000000400059f670: 0x0000004000372091 0x00000055661c0d01
0x000000400059f680: 0x0000000000000019 0x000000556681c4f8
0x000000400059f690: 0x000000556754d7e8 0x000000556754d7e8
0x000000400059f6a0: 0x000000556757c580 0x000000400059f7e8
0x000000400059f6b0: 0x00000055650a0950 <runtime.doInit+0x0000000000000070> 0x000000556754d780
0x000000400059f6c0: 0x000000400059f6f8 0x0000000000000003
0x000000400059f6d0: 0x0000004000570af0 0x0000005566810e40
0x000000400059f6e0: 0x00000040003842a0 0x0000000000000000
0x000000400059f6f0: 0x0000004000570af0 0x0000000000000002
0x000000400059f700: 0x0000000000000002 0x0000000000000000
0x000000400059f710: 0x0000000000000000 0x0000005566810d50
0x000000400059f720: 0x000000400057e580 0x000000400059f768
0x000000400059f730: 0x000000556594dde4 <github.com/docker/cli/vendor/k8s.io/apimachinery/pkg/runtime.(*SchemeBuilder).AddToScheme-fm+0x0000000000000034> 0x0000004000570af0
0x000000400059f740: 0x0000004000534400 0x0000000000000000
0x000000400059f750: 0x0000000000000001 0x0000004000010640
0x000000400059f760: >0x0000004000570af0 0x000000400059f788
0x000000400059f770: 0x0000005565d7a194 <github.com/docker/cli/vendor/github.com/docker/compose-on-kubernetes/api/client/clientset/scheme.AddToScheme+0x0000000000000064> 0x00000055668143b0
0x000000400059f780: 0x00000040000a9f40 0x000000400025f7a8
0x000000400059f790: 0x0000005565d7a110 <github.com/docker/cli/vendor/github.com/docker/compose-on-kubernetes/api/client/clientset/scheme.init.0+0x0000000000000050> 0x0000005566814518
0x000000400059f7a0: 0x0000004000570af0 0x000000400025f7e8
0x000000400059f7b0: 0x00000055650a0a18 <runtime.doInit+0x0000000000000138> 0x000000400000f0b0
0x000000400059f7c0: 0x0000000000000000 0x0000000000000003
0x000000400059f7d0: 0x000000556754a960 0x000000556754a950
0x000000400059f7e0: 0x000000400009db00 0x000000400059f928
0x000000400059f7f0: 0x00000055650a0950 <runtime.doInit+0x0000000000000070> 0x0000005567559640
0x000000400059f800: 0x47000055665c11a0 0x000000400025f8c8
0x000000400059f810: 0x0000005565068ac0 <runtime.mallocgc+0x0000000000000640> 0x510000400025f858
0x000000400059f820: 0x00000055653928d0 <github.com/docker/cli/vendor/github.com/gogo/protobuf/proto.RegisterType+0x0000000000000180> 0x0000000000000000
0x000000400059f830: 0x0000004000549545 0x0000000000000001
0x000000400059f840: 0x0000000000000010 0x0000000000000000
0x000000400059f850: 0x0000000000000000 0x000000400025f918
runtime.doInit(0x400059f788)
/usr/lib/go-1.18/src/runtime/proc.go:6198 +0x64 fp=0x400059f760 sp=0x400059f620 pc=0x55650a0944
goroutine 5 [chan receive]:
github.com/docker/cli/vendor/k8s.io/klog.(*loggingT).flushDaemon(0x0?)
/build/docker.io-eV7TtD/docker.io-20.10.21/.gopath/src/github.com/docker/cli/vendor/k8s.io/klog/klog.go:1010 +0x60
created by github.com/docker/cli/vendor/k8s.io/klog.init.0
/build/docker.io-eV7TtD/docker.io-20.10.21/.gopath/src/github.com/docker/cli/vendor/k8s.io/klog/klog.go:411 +0x148
Please file a new topic if it’s not related to the original issue.
okay thanks
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