pytorch-android
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How to improve the performance on Android?
Thanks a lot for the overall android project the author posted, it has saved the time for me to compile from source. I use the caffe2 MobilenetV1-ssd model for object detection and it works. However, the same model costs about 2.2s to infer an image in my android phone (although with a cpu that is not good enough--qualcomm snapdragon 616), whereas it costs 500ms to infer an image on Window 7 with CPU. I wonder if the caffe2::predictor is running using multithreads or not?If no, how to configure it ? Is there any way to improve the performance on android ?
Thanks a lot if someone could help me about this.