Hi,
I have some difficulties to play with this tutorial.
My laptop is on Ubuntu 18.4 Bionic. Is it good for this tutorial?
Should I use python2.7 instead python3 for Digits?
Lastly, this ‘sudo apt-get install caffe-cuda’ doesn’t work for me.
fyi : I have installed cuda driver, cuda, Jetpack without problems.
Hi Dusty,
Thanks for your reply.
My laptop has GTX1600-6Go and it works well with CUDA Driver version 410.66.
Should I downgrade my laptop to Ubuntu 16.04 for this tutorial?
Hi Dusty,
Under CUDA 10 and cuDNN 7.3, CAFFE works great with DIGITS.
As you know, currently DIGITS targets tensorflow v1.2.1, CUDA 9 and cuDNN 5.1. So could you tell me if there is a plan/roadmap for CUDA 10 and cuDNN 7.3? Because I would like to make a little try with Tensorflow, too.
Btw, could you share your experiences/recommendations about CAFFE and Tensorflow? In the case of the Jetson Xavier, which one will be better?
Thanks in advance.
This particular tutorial uses Caffe for ease-of-use with DIGITS, however here are some other repos that show importing TensorFlow model into TensorRT on Jetson:
Note that on the Jetson side for Jetson Xavier, they are all using CUDA 10 / cuDNN 7.3 with JetPack 4.x.
The CUDA9 version is for the host training with DIGITS, although it may be possible to upgrade that.
Ok, me to I’m trying to use on Xavier the tf_trt_models and tf_to_trt_image classification.
But, may not directily related to Xavier new Ubuntu 18.04 version and DevKit component version (CUDA 10, cuDNN 7.3), I’m not able to use them, in particular: