Environment
os - ubuntu 16.04
cuda 10.0
GeForce GTX 1050
tensorflow version 1.13.1.
Description
i wish to use tensorrt with/in the environment described above. ( i can’t upgrade cuda at this point in time)
i have a trained frozen graph ( tf version 1.13.1)
i wish to convert it to uff .
i tried using ngs container - tensorRT:19.02-py2, ( tensorrRT version 5.0.2)
but uff-converter-tf is not installed there.
i’ve tried installing with apt-get install uff-converter-tf, this fails with E: Unable to locate package uff-converter-tf
i’ve found a few similar topics, in nvidia support while opening this ticket,
they suggest executing /opt/tensorrt/python/python_setup.sh,
but this leads to installation of tensorflow-2.1.0-cp27-cp27mu-manylinux2010_x86_64.whl which is not what i need/want ( = tf version 1.13.1)
( + if I’m not mistaken, uff_converter is not supported with tf 2.X, also seen this in various ngc tensorrt containers release notes)
furthermore,
the code for installation of uff-converter-tf in python_setup.sh is :
UFF_PATH=“$(python -c ‘import uff; print(uff.path[0])’)”
chmod +x ${UFF_PATH}/bin/convert_to_uff.py
ln -sf ${UFF_PATH}/bin/convert_to_uff.py /usr/local/bin/convert-to-uff
this will fail anyway since
( i have to other hosts that have tf 1.13.1 one i built manually, another pulled from docker hub,
both of them do not have the uff package )
please advise.
Omer
:-)