APKPure Appを使用する
TFProfilerの旧いバージョンをダウンロードすることが可能
さまざまなオプションを使用して、デバイス上でTensorflowLiteモデルのプロファイルを作成します
TFProfiler is an app that aims to profile TensorFlow Lite model or OpenCV DNN supported ones (*.onnx, *.caffemodel, *.pb, *.weights, *.t7, *.net, etc). Measure model performance with FPS, model initialization time, inference time, memory consumption, etc. You can tweak model inferences on Android smartphone with different accelerators:
• CPU
• GPU
• NNAPI
• HEXAGON
• XNNPACK
The app has a built-in subset of public available image dataset Caltech 101 (http://www.vision.caltech.edu/Image_Datasets/Caltech101/). It may be used for testing model inferences.
Source code of the app can be found here: https://github.com/iglaweb/TFProfiler
The app is intended only for testing and conducting experiments on your Android smartphone.
最新バージョン 1.2.0 の更新情報
Last updated on 2022年06月09日
Fixes and improvements
翻訳中...
TFProfiler
1.2.0 by FRUCT
2022年06月09日