TFProfiler

FRUCT
2022年06月09日
  • 154.4 MB

    文件大小

  • Android 5.0+

    Android OS

关于TFProfiler

使用不同的选项在设备上配置Tensorflow Lite模型

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.

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最新版本1.2.0的更新日志

Last updated on 2022年06月09日
Fixes and improvements

TFProfiler历史版本

TFProfiler 1.2.0

2022年06月09日154.4 MB
下载

TFProfiler 0.93

2020年12月30日64.4 MB
下载

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