Avijit

We are working on a new version of ngraph (nGraph++) which is being implemented in C++ and the performance issue you are observing will be addressed in the forthcoming release.

@shubhamn94 We do have a C++ implementation for nGraph: https://github.com/NervanaSystems/ngraph.git The TensorFlow bridge is here: https://github.com/NervanaSystems/ngraph-tf.git To get started, please clone the nGraph-TensrFlow bridge and run `build_ngtf.py` to build the...

@shubhamn94 We recently moved the nGraph bridge repository to TensorFlow organization. Here's the new URL: https://github.com/tensorflow/ngraph-bridge (The nGraph library remains in the same location: https://github.com/NervanaSystems/ngraph.git) Please update your bookmarks.

TESTNOW

What DL model you tried for this test?

Yes - we will definitely consider this. What flags do you want to be parametrizable?

nGraph won't work with TensorFlow built for GPU. It will only work with TensorFlow built for CPU.

This is related to the version of the virtualenv installed on your system. The version needs to be 1.16.0 or less. Please let us know if you still have issues

Thanks for reporting this issue and providing the details. We will reproduce this and get back to you.

Comments below. From: Sayantan Sarkar Reply-To: NervanaSystems/ngraph-tf Date: Monday, September 3, 2018 at 1:05 PM To: NervanaSystems/ngraph-tf Cc: "Chakraborty, Avijit" , Mention Subject: Re: [NervanaSystems/ngraph-tf] Sarkars/builder (#176) I think most...