I am currently running a regression Tensorflow model in the Jetson TX2. but the frame rate is very low.
I speed up the jetson with:
sudo nvpmodel -m 0 sudo ./jetson_clocks.sh
When running the model Tegrastats gives me this:
RAM 1971/7851MB (lfb 812x4MB) cpu [1%@2035,0%@2035,100%@2035,0%@2035,0%@2036,1%@2034] EMC 2%@1866 APE 150 GR3D 0%@1300
I am using python 3 and Tensorflow from: https://github.com/jetsonhacks/installTensorFlowJetsonTX/blob/master/TX2/tensorflow-1.3.0-cp35-cp35m-linux_aarch64.whl
I installed everything in Jetpack 3.1
I am assuming that there are bugs in CUDA to Tensorflow link in this wheel.
I understand that TensorRT will increase the Fps. but i can’t find examples of TensorRT and the main issue is that Tensorflow is not using GPU in the Jetson.
So am i doing something wrong? Should i build Tensorflow from scratch? Should i install CUDA or cuDNN? Is there any hidden dependencies for Tensorflow? How can i increase Performance in terms of Fps? Where can i find the examples for TensorRT?
Thank you in advance!