I have recently fresh flashed the Jetson TX2 with JetPack 3.1 and tried proceeded installing caffe2 on it.
Prior to installing caffe2 I followed as the guide flashing complete new build with all included dependencies in JetPack(opencv4tegra etc) and the followed installing opencv 3.3:
After that I followed the guide to installe caffe2 on tegra: Install | Caffe2 (building from source)
and now I am succesful in importing the caffe2 for regular testing but it seems the GPU is not working. Is it common or is that I am missing something?
I tested it out and seems to be working!
sudo /tegrastats and GR3D seems to be getting some load! I am wondering if there is some scripts to restore the normal state after using the ./jetson_clocks?
and another question whether it is possible to get even more juice out of the TX2, even if all the 6 cores are up and running the jetson_clocks ( juice from GPU)
EDIT: found some answers already:
sudo /home/ubuntu/jetson_clocks.sh --store # save clocks config into l4t_dfs.conf file
sudo /home/ubuntu/jetson_clocks.sh # boost clocks
sudo /home/ubuntu/jetson_clocks.sh --restore # restore clocks config from l4t_dfs.conf file
For maximizing the TX2 performance,
You can rewrite all the configuration to the max with nvpmodel and lock the frequency to maximal via jetson_clocks:
Hi, I use Jetpack 3.2.1, build caffe2 from source (tag v0.4.1), cuda9, cudnn7 on TX1.
I compiled and installed caffe2 successfully, and I run python caffe2 works well with GPU. Then I try to run caffe2 in C++ with GPU support, but c++ app runs ok, but no GPU usage. This code works well on my laptop with GPU support, I don’t know why, here is my code([url]https://github.com/zacario-li/caffe2_Cpp_example[/url]), hope anyone could help me. Many thanks.