Android – Robin on Linux

Fix the launching problem of Android Studio on Macbook

After I installed two versions of JDK (17 and 21) and uninstalled them, I saw this error when trying to launch my Android Studio. This error is hard to fix. Reinstalling Android Studio won’t fix it. And even after I searched google and asked chatGPT and try all the suggestion they give, the problem continued for two days.

The eventual solution is from a StackOverflow article (sorry I forget the url):

# firstly, manually uninstall Android Studio
# then
rm -rf /Library/Java/JavaVirtualMachines/*
# then
rm ~/Library/Application\ Support/Google/AndroidStudio*
# then
rm  -rf ~/Library/Caches/
# now install the Android Studio and it could be launched correctly

The nn.Sigmoid() of PyTorch on Android device

I have trained an EfficientNet model to classify more than ten thousand different categories of birds, by using PyTorch. To run this model on the mobile device, I built a program by learning the PyTorch iOS demo at first, make sure it runs well, and then try to build another Android program by learning the PyTorch Android demo. But after replacing the demo model with my model, the Android program prints out the result as all ‘NaN’.
To figure out the reason step by step. I tested a few widely used deep learning models:

Model Name	Result on Android demo
EfficientNet	Nan
ResNet-50	Normal
ResNet-101	Normal
RegNet+SE	NaN
RegNet	Normal

Seems that the only difference between ‘Nan’ and ‘Normal’ is the Squeeze-Excitation module. But Squeeze-Excitation module is quite simple. It’s just:

        self.f_ex = nn.Sequential(
            nn.Conv2d(w_in, w_se, 1, bias=True),
            nn.ReLU(inplace=cfg.MEM.RELU_INPLACE),
            nn.Conv2d(w_se, w_in, 1, bias=True),
            nn.Sigmoid(),
        )

Aha, I saw the nn.Sigmoid. That’s the only layer which haven’t been used in ResNet.
Let’s dive into Sigmoid function

Looks the $e^{-x}$ is the problem: it will became underflow if the X is too big!
Until now, I still have another question: why the ‘NaN’ appears in the Android program but not the iOS program. Perhaps it’s about JVM or the emulator that Android Studio used.