Closed jmacglashan closed 4 years ago
If you use reverb nightly; you probably have to use tf-nightly with it. We only guarantee compatibility of reverb releases with an associated tf release.
Specifically; reverb 0.1.0
is built to be compatible with tensorflow 2.3.0
and most likely when tensorflow 2.4.0
is released; we'll release an associated reverb 0.2.0
(or something like this). If you're using reverb nightlies; binary compatibility with TF releases is best effort; though we guarantee that reverb nightly is binary compatible with the tf nightly release from the same or previous night.
Interesting, thanks. I'll check this out later today. I thought the 0.2.0.x might have issues with TF builds, but 0.1.0.dev20200727
also didn't work with TF 2.3.0. Is the issue there that it may have depended on a specific tf-nightly of 2.3.0.x rather than release of 2.3.0?
You will need to find a version of tf-nightly either dev20200727 or dev20200726 - those should work.
As an action item we can see if we can rely on TF's C-API layer only - that one's ABI stable, but I think we have dependencies that the C-API layer doesn't cover.
On Wed, Aug 12, 2020 at 9:33 AM James MacGlashan notifications@github.com wrote:
Interesting, thanks. I'll check this out later today. I thought the 0.2.0 might have issues with TF buids, but 0.1.0.dev20200727 also didn't work with TF 2.3.0. Is the issue there that it may have depended on a specific tf-nightly of 2.3.0.x rather than release of 2.3.0?
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Sorry for getting back to this so late.
I can confirm that using the release 0.1.0 from dm-reverb instead of dm-reverb-nightly with the final tf 2.3.0 worked fine.
Closing.
If I use Tensorflow 2.3.0 and the latest reverb nightly, when I import reverb in Python 3.8, I get the following error.
The last Reverb version that works for me is
0.1.0.dev20200716
. Anything after that version fails in the same way.This is within a docker instance of Ubuntu 18.04 (with some other stuff built on top). Any thoughts?