Recent content by imao

@Andrey Ignatov def vgg_quant(pretrained_weights = None,input_size = (256,256,1)): inputs = Input(input_size) conv1 = Conv2D(64, 3, activation = 'relu', padding = 'same',bias_initializer='he_normal', kernel_initializer = 'he_normal')(inputs) conv1 = Conv2D(64, 3, activation =...

@Andrey Ignatov Thanks for the reply! Yes I am using same script as you mentioned. How about model (assets/models/vgg_quant.tflite) in your apk? Model I shareed above has same structure as that one(vgg_quant). This (vgg_quant.tflite) model packed in apk seems work fine, and the runtime is...

Hello @Andrey Ignatov I've been struggling with testing my custom model on exynos 2100 using NNAPI accelerator. In my case, models listed on site seem to work fine. this model shows ~8ms on exynos 2100. def unet(pretrained_weights = None,input_size = (256,256,1)): inputs =...