I have been trying to install TensorRT python bindings along with the Tensorflow r1.15.
This is how I am proceeding with (on host PC with existing installations from SDK for development)
Firstly I get checkout my tensorflow to older versions because the Drive 5.0.10.3 comes with Cuda9.2, CUDNN 7.1.3 and TensorRT 4.0.0 on
I am proceeding ahead with the tensorflow installation using cudnn support however without TensorRT support.
Then after I install this, I tend to install the wheel which is already located at /usr/local/cuda-9.2/dl/tensorrt35.whl file
Kindly throw some light if this is the right way.
I am finding it really hard to proceed any further as the support seems to be very limited with legacy version.
Also a quick question, has the support to the PX2 been stopped already ?
Does it support TensorRT5+, Cuda 10* and CUDNN latest versions for that matter ?
Also a quick question, has the support to the PX2 been stopped already ?
Does it support TensorRT5+, Cuda 10* and CUDNN latest versions for that matter ?
Yes. There is more DRIVE SW releases targeted for DRIVE PX2.
My method was found to be unstable and threw run time errors very, eventually I switched to yours. I guess I missed few corrections in the bazel.build.
Another quick question, does driveworks support UFF files, because most of your examples use caffee support. We have a code in tensorflow and we would like to port it to using UFF file to access lidar based data. Just an important note: the parsed UFF file will not have any external layer added over to it later using TensorRT inside the program.