Comments (7)
Sadly, no.
from fast-style-transfer-deeplearnjs.
This is an issue I am not sure how to resolve as I cannot reproduce it myself. It would be helpful if people who face this issue post their browser + system specs. It seems to affect Linux users, but this is weird, since I'm on Ubuntu 14 and don't face this issue.
I will do my best to resolve this but for now, the workaround is to just try it on another machine. Sorry. :(
from fast-style-transfer-deeplearnjs.
uname -a
Linux phoebox 4.11.0-1-amd64 #1 SMP Debian 4.11.6-1 (2017-06-19) x86_64 GNU/Linux
lscpu
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Byte Order: Little Endian
CPU(s): 4
On-line CPU(s) list: 0-3
Thread(s) per core: 2
Core(s) per socket: 2
Socket(s): 1
NUMA node(s): 1
Vendor ID: GenuineIntel
CPU family: 6
Model: 60
Model name: Intel(R) Core(TM) i3-4100M CPU @ 2.50GHz
Stepping: 3
CPU MHz: 1448.364
CPU max MHz: 2500.0000
CPU min MHz: 800.0000
BogoMIPS: 4988.01
Virtualization: VT-x
L1d cache: 32K
L1i cache: 32K
L2 cache: 256K
L3 cache: 3072K
NUMA node0 CPU(s): 0-3
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 monitor ds_cpl vmx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid sse4_1 sse4_2 movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm epb tpr_shadow vnmi flexpriority ept vpid fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid xsaveopt dtherm arat pln pts
What else do you need?
from fast-style-transfer-deeplearnjs.
Thanks!
I think we could stop at uname
and lscpu
. I really can't give a timeline for fixing this, as I have no idea what's wrong. If enough people post their specs, I'll bring it up with the guys at the deeplearnjs repository.
from fast-style-transfer-deeplearnjs.
It seems to affect Linux users, but this is weird, since I'm on Ubuntu 14 and don't face this issue.
FYI: works well on Arch for me
Firefox 55.0.3
Inox 59.0.3071.115 (https://aur.archlinux.org/packages/inox/)
Inox 61.0.3163.100
uname -a
Linux ltp 4.13.3-1-ARCH #1 SMP PREEMPT Thu Sep 21 20:33:16 CEST 2017 x86_64 GNU/Linux
lscpu
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Byte Order: Little Endian
CPU(s): 8
On-line CPU(s) list: 0-7
Thread(s) per core: 2
Core(s) per socket: 4
Socket(s): 1
NUMA node(s): 1
Vendor ID: GenuineIntel
CPU family: 6
Model: 42
Model name: Intel(R) Core(TM) i7-2760QM CPU @ 2.40GHz
Stepping: 7
CPU MHz: 2392.318
CPU max MHz: 3500.0000
CPU min MHz: 800.0000
BogoMIPS: 4786.99
Virtualization: VT-x
L1d cache: 32K
L1i cache: 32K
L2 cache: 256K
L3 cache: 6144K
NUMA node0 CPU(s): 0-7
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx rdtscp lm constant_tsc arch_perfmon pebs bts nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 cx16 xtpr pdcm pcid sse4_1 sse4_2 x2apic popcnt tsc_deadline_timer aes xsave avx lahf_lm epb tpr_shadow vnmi flexpriority ept vpid xsaveopt dtherm ida arat pln pts
from fast-style-transfer-deeplearnjs.
I also encounter this issue on 64-bit Google Chrome (Version 61.0.3163.100):
uname -a
Linux 4.10.0-35-generic #39~16.04.1-Ubuntu SMP x86_64 x86_64 x86_64 GNU/Linux
lscpu
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Byte Order: Little Endian
CPU(s): 4
On-line CPU(s) list: 0-3
Thread(s) per core: 2
Core(s) per socket: 2
Socket(s): 1
NUMA node(s): 1
Vendor ID: GenuineIntel
CPU family: 6
Model: 60
Model name: Intel(R) Core(TM) i5-4200M CPU @ 2.50GHz
Stepping: 3
CPU MHz: 1188.354
CPU max MHz: 3100,0000
CPU min MHz: 800,0000
BogoMIPS: 4988.95
Virtualization: VT-x
L1d cache: 32K
L1i cache: 32K
L2 cache: 256K
L3 cache: 3072K
NUMA node0 CPU(s): 0-3
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc aperfmperf pni pclmulqdq dtes64 monitor ds_cpl vmx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid sse4_1 sse4_2 movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm epb tpr_shadow vnmi flexpriority ept vpid fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid xsaveopt dtherm ida arat pln pts
from fast-style-transfer-deeplearnjs.
@phoe @utkuufuk, the newest version of deeplearn.js is used now in the website. I have no idea if it'll fix the error you had previously, but could you give it a shot? Thanks!
from fast-style-transfer-deeplearnjs.
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