node core dumps with illegal instruction

[rlmcclain]

Hello. I really like the idea of this project. Trying to follow your non-Docker instructions.
Here is the result of install.sh
rich@myarch:~/bin/webcam-virtual-background-master$ ./install.sh
Defaulting to user installation because normal site-packages is not writeable
Collecting numpy==1.18.2
Using cached numpy-1.18.2-cp38-cp38-manylinux1_x86_64.whl (20.6 MB)
Collecting opencv-python==4.2.0.32
Using cached opencv_python-4.2.0.32-cp38-cp38-manylinux1_x86_64.whl (28.2 MB)
Requirement already satisfied: requests==2.23.0 in /usr/lib/python3.8/site-packages (from -r fakecam/requirements.txt (line 3)) (2.23.0)
Collecting pyfakewebcam==0.1.0
Using cached pyfakewebcam-0.1.0.tar.gz (12 kB)
Requirement already satisfied: chardet>=3.0.2 in /usr/lib/python3.8/site-packages (from requests==2.23.0->-r fakecam/requirements.txt (line 3)) (3.0.4)
Requirement already satisfied: idna>=2.5 in /usr/lib/python3.8/site-packages (from requests==2.23.0->-r fakecam/requirements.txt (line 3)) (2.9)
Requirement already satisfied: urllib3>=1.21.1 in /usr/lib/python3.8/site-packages (from requests==2.23.0->-r fakecam/requirements.txt (line 3)) (1.25.9)
Installing collected packages: numpy, opencv-python, pyfakewebcam
Running setup.py install for pyfakewebcam ... done
Successfully installed numpy-1.18.2 opencv-python-4.2.0.32 pyfakewebcam-0.1.0
npm WARN [email protected] No description
npm WARN [email protected] No repository field.
npm WARN [email protected] No license field.
audited 167 packages in 1.536s
1 package is looking for funding
run npm fund for details
found 0 vulnerabilities

I created my v4l2loopback on /dev/video20 and modified fake.py line 24.
I get this error when attempting to run 'node app.js':
rich@myarch:/bin/webcam-virtual-background-master/bodypix$ node --version
v14.1.0
rich@myarch:/bin/webcam-virtual-background-master/bodypix$ node app.js
Illegal instruction (core dumped)

I've never used node.js or Docker before. Any guidance on debugging this? Any commands I could issue to give you more information?
Regards,
RichM

[fiblan]

Hi @rlmcclain, thanks for your interest.

As suggest by ianni67 in #1, it is better to use nvm and change nodejs version

curl -o- https://raw.githubusercontent.com/creationix/nvm/v0.34.0/install.sh | bash
nvm install node v10.16.3

then check node version with

node --version

As soon as you give me feedback, I update the README with this hint.

[ianni67]

The comment referred by Fiblan has changed, now it is number #3:
All the best.

[rlmcclain]

Thanks for the reply. I managed to run these command and get version 10.16.3 installed and do the npm rebuild:

curl -o- https://raw.githubusercontent.com/creationix/nvm/v0.34.0/install.sh | bash
nvm install node 10.16.3

then rebuild the tensorflow module for node.js:

cd bodypix
npm rebuild @tensorflow/tfjs-node build-addon-from-source

Then I opened a new terminal session and did this:

$ cd ~/bin/webcam-virtual-background-master
$ nvm use 10.16.3
Now using node v10.16.3 (npm v6.9.0)
$ node --version
v10.16.3
$ cd bodypix
$ node app.js
node-pre-gyp info This Node instance does not support builds for N-API version 5
node-pre-gyp info This Node instance does not support builds for N-API version 5
Illegal instruction (core dumped)

Similar result - still core dumped.

[ianni67]

For some reason, nvm installed a newer version than 10.16.3.
In my pc I have:

node --version
v14.1.0

So, please run
nvm install node v14.1.0, then re-build the tensorflow node again. Sorry for the issue.

[rlmcclain]

Thanks for your continued assistance.
14.1.0 is where I originally started:

rich@myarch:~/bin/webcam-virtual-background-master/bodypix$ nvm use 14.1.0
Now using node v14.1.0 (npm v6.14.4)
rich@myarch:~/bin/webcam-virtual-background-master/bodypix$ node --version
v14.1.0
rich@myarch:~/bin/webcam-virtual-background-master/bodypix$ npm rebuild @tensorflow/tfjs-node build-addon-from-source

> @tensorflow/[email protected] install /home/rich/bin/webcam-virtual-background-master/bodypix/node_modules/@tensorflow/tfjs-node
> node scripts/install.js

CPU-linux-1.7.4.tar.gz
* Building TensorFlow Node.js bindings
@tensorflow/[email protected] /home/rich/bin/webcam-virtual-background-master/bodypix/node_modules/@tensorflow/tfjs-node
rich@myarch:~/bin/webcam-virtual-background-master/bodypix$ node app.js
Illegal instruction (core dumped)

Back to where we started.

[ianni67]

I'm very sorry. Looks like your issue is not the same as mine, and I made you waste time.
@fiblan will probably take care of this

[fiblan]

Please, try this:

rm -fr node_modules
npm install
node app.js

[rlmcclain]

Here we go.

rich@myarch:~/bin/webcam-virtual-background-master/bodypix$ rm -rf node_modules
rich@myarch:~/bin/webcam-virtual-background-master/bodypix$ npm install

> @tensorflow/[email protected] install /home/rich/bin/webcam-virtual-background-master/bodypix/node_modules/@tensorflow/tfjs-node
> node scripts/install.js

CPU-linux-1.7.4.tar.gz
* Downloading libtensorflow
[==============================] 9019249/bps 100% 0.0s
* Building TensorFlow Node.js bindings
npm WARN [email protected] No description
npm WARN [email protected] No repository field.
npm WARN [email protected] No license field.

added 94 packages from 100 contributors and audited 167 packages in 19.268s

1 package is looking for funding
  run `npm fund` for details

found 0 vulnerabilities

rich@myarch:~/bin/webcam-virtual-background-master/bodypix$ ll
total 56
drwxr-xr-x  3 rich rich  4096 May  2 13:26 ./
drwxr-xr-x  4 rich rich  4096 Apr 26 15:57 ../
-rw-r--r--  1 rich rich  1046 Apr 26 15:57 app.js
-rw-r--r--  1 rich rich   319 Apr 26 15:57 Dockerfile
drwxr-xr-x 87 rich rich  4096 May  2 13:26 node_modules/
-rw-r--r--  1 rich rich   170 Apr 26 15:57 package.json
-rw-r--r--  1 rich rich 30823 May  1 13:53 package-lock.json
rich@myarch:~/bin/webcam-virtual-background-master/bodypix$ node --version
v14.1.0
rich@myarch:~/bin/webcam-virtual-background-master/bodypix$ node app.js
Illegal instruction (core dumped)

Same result. I really appreciate your continued help.

[ianni67]

Sorry for commenting again, but it really looks like an issue with tensorflow-js (tfjs). It relies on some pre-compiled stuff that might have some compatibility issues with your pc.

[fiblan]

https://www.gitmemory.com/issue/tensorflow/tfjs/2631/572279598

[rlmcclain]

Here it is. I don't see 'avx':

$ cat /proc/cpuinfo
processor       : 0
vendor_id       : AuthenticAMD
cpu family      : 16
model           : 4
model name      : AMD Phenom(tm) II X4 905e Processor
stepping        : 2
microcode       : 0x10000db
cpu MHz         : 800.000
cache size      : 512 KB
physical id     : 0
siblings        : 4
core id         : 0
cpu cores       : 4
apicid          : 0
initial apicid  : 0
fpu             : yes
fpu_exception   : yes
cpuid level     : 5
wp              : yes
flags           : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm 3dnowext 3dnow constant_tsc rep_good nopl nonstop_tsc cpuid extd_apicid pni monitor cx16 popcnt lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs skinit wdt hw_pstate vmmcall npt lbrv svm_lock nrip_save
bugs            : tlb_mmatch fxsave_leak sysret_ss_attrs null_seg amd_e400 spectre_v1 spectre_v2
bogomips        : 5016.05
TLB size        : 1024 4K pages
clflush size    : 64
cache_alignment : 64
address sizes   : 48 bits physical, 48 bits virtual
power management: ts ttp tm stc 100mhzsteps hwpstate

processor       : 1
vendor_id       : AuthenticAMD
cpu family      : 16
model           : 4
model name      : AMD Phenom(tm) II X4 905e Processor
stepping        : 2
microcode       : 0x10000db
cpu MHz         : 800.000
cache size      : 512 KB
physical id     : 0
siblings        : 4
core id         : 1
cpu cores       : 4
apicid          : 1
initial apicid  : 1
fpu             : yes
fpu_exception   : yes
cpuid level     : 5
wp              : yes
flags           : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm 3dnowext 3dnow constant_tsc rep_good nopl nonstop_tsc cpuid extd_apicid pni monitor cx16 popcnt lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs skinit wdt hw_pstate vmmcall npt lbrv svm_lock nrip_save
bugs            : tlb_mmatch fxsave_leak sysret_ss_attrs null_seg amd_e400 spectre_v1 spectre_v2
bogomips        : 5016.05
TLB size        : 1024 4K pages
clflush size    : 64
cache_alignment : 64
address sizes   : 48 bits physical, 48 bits virtual
power management: ts ttp tm stc 100mhzsteps hwpstate

processor       : 2
vendor_id       : AuthenticAMD
cpu family      : 16
model           : 4
model name      : AMD Phenom(tm) II X4 905e Processor
stepping        : 2
microcode       : 0x10000db
cpu MHz         : 800.000
cache size      : 512 KB
physical id     : 0
siblings        : 4
core id         : 2
cpu cores       : 4
apicid          : 2
initial apicid  : 2
fpu             : yes
fpu_exception   : yes
cpuid level     : 5
wp              : yes
flags           : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm 3dnowext 3dnow constant_tsc rep_good nopl nonstop_tsc cpuid extd_apicid pni monitor cx16 popcnt lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs skinit wdt hw_pstate vmmcall npt lbrv svm_lock nrip_save
bugs            : tlb_mmatch fxsave_leak sysret_ss_attrs null_seg amd_e400 spectre_v1 spectre_v2
bogomips        : 5016.05
TLB size        : 1024 4K pages
clflush size    : 64
cache_alignment : 64
address sizes   : 48 bits physical, 48 bits virtual
power management: ts ttp tm stc 100mhzsteps hwpstate

processor       : 3
vendor_id       : AuthenticAMD
cpu family      : 16
model           : 4
model name      : AMD Phenom(tm) II X4 905e Processor
stepping        : 2
microcode       : 0x10000db
cpu MHz         : 800.000
cache size      : 512 KB
physical id     : 0
siblings        : 4
core id         : 3
cpu cores       : 4
apicid          : 3
initial apicid  : 3
fpu             : yes
fpu_exception   : yes
cpuid level     : 5
wp              : yes
flags           : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm 3dnowext 3dnow constant_tsc rep_good nopl nonstop_tsc cpuid extd_apicid pni monitor cx16 popcnt lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs skinit wdt hw_pstate vmmcall npt lbrv svm_lock nrip_save
bugs            : tlb_mmatch fxsave_leak sysret_ss_attrs null_seg amd_e400 spectre_v1 spectre_v2
bogomips        : 5016.05
TLB size        : 1024 4K pages
clflush size    : 64
cache_alignment : 64
address sizes   : 48 bits physical, 48 bits virtual
power management: ts ttp tm stc 100mhzsteps hwpstate

[ianni67]

I do have avx in flags. It looks like your cpu is missing avx extensions and the Tensorflow js runtime is compiled to use those extensions.
I hope this link from Tensorflow github can help.

[rlmcclain]

Thanks for all the guidance and research. You learn something new everyday. I built my desktop in 2009 and it has been my 'work at everyday' desktop for 11 years with no issues. Although I've changed the Linux distro a few times. I'm not into gaming, so I had no need to upgrade. It has worked fine for all that I need to do. Guess I got my moneys worth. But I think it may be time to upgrade. Seems like a good quarantine project. Again, thanks for the help. You have both been very generous with your time and knowledge. Best Wishes, RichM