TFProfiler

FRUCT

2022年06月09日

154.4 MB
ファイルサイズ
Android 5.0+
Android OS

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このTFProfilerについて

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.