strange issue with recognition using AlexNet on ACER B1-780

[gfursin]

I have a strange issue on a tablet ACER B1-780 (Android 6.0, ARM64). Recognition is fine on 3 first models (GoogleNet, SqueezeNet), but fails on CaffeNet and AlexNet. In fact it returns the following error:

__bionic_open_tzdata_path: ANDROID_DATA not set!
__bionic_open_tzdata_path: ANDROID_ROOT not set!

and empty recognition. I don't know if it will be easy to reproduce such issue, because all models work fine on my S7 ...

[DVEfremov]

I've got same warns (not error) on my Galaxy Note 4 but it works fine.

[DVEfremov]

@so after cmd excution on my android I've got stdouts like:

recognitionResult[0] = ""
recognitionResult[1] = "---------- Prediction for /sdcard/openscience/data/4a6e91d75d682cec/demo/mouse1.jpg ----------\n0.9003 - "n03793489 mouse, computer mouse"\n0.0118 - "n03929660 pick, plectrum, plectron"\n0.0081 - "n04317175 stethoscope"\n0.0058 - "n04548280 wall clock"\n0.0058 - "n04286575 spotlight, spot"\n"
recognitionResult[2] = "__bionic_open_tzdata_path: ANDROID_DATA not set!\n__bionic_open_tzdata_path: ANDROID_ROOT not set!\n__bionic_open_tzdata_path: ANDROID_DATA not set!\n__bionic_open_tzdata_path: ANDROID_ROOT not set!\n__bionic_open_tzdata_path: ANDROID_DATA not set!\n__bionic_open_tzdata_path: ANDROID_ROOT not set!\n"

Where output string list:

• [0] - error text
• [1] - stdout output
• [2] - stderr output

[gfursin]

Hmm, so it's not problem. But the thing is that I do not get any stdout (it's empty) and no further errors ... Need to check it deeper at some point ...

[gfursin]

I debugged new app on my cheap tablet and all models but AlexNet/CaffeNet work fine, but the latter ones do not work and do not give an error or output, though program clearly do something for about 7 secs... What I think is maybe there is not enough memory (these cheap devices has 1Gb of memory with 4 cores) while error just suppressed somewhere in classification bin ... Strange ... Anyway, we can leave it for now, or we can try to run it on a similar device with 1Gb of memory and later debug classification bin itself ...