Kristian Hartikainen

Apologies, right after posting this and looking at the `reverb_benchmark.py` closer, I see that the dataset is sampled 1000 times, making the first script's throughput some *tens of thousands* of...

Comparing my environments, the main difference was that the former (slower) had `grpcio==1.51.1` and `libgrpc==1.51.1` installed from through `conda`, whereas the latter (faster) had `grpcio==1.54.2` and `libgrpc==1.54.2` installed from `pip`....

I just tested this and can confirm that this works as expected at least with the default parameters taken from `dm_control/utils/inverse_kinematics_test.py`. One thing I noticed is that, when using `joint_names`...

Yeah `tensorflow==2.12` or `tensorflow==2.13` wheel would be much appreciated. If possible, for `python==3.10` 🙂

`reverb` just [released v0.12.0](https://pypi.org/project/dm-reverb/0.12.0/) which [supports `tensorflow==2.13`](https://github.com/deepmind/reverb/commit/14cf1831110ab7db4a2fc494335a0e467beb0253#diff-b335630551682c19a781afebcf4d07bf978fb1f8ac04c6bf87428ed5106870f5R95). If the latest launchpad release is still in progress, it would be really neat to get it published with `tensorflow==2.13`.

Any update on this? I'm happy to help e.g. testing this if that's useful.

Fixed 🙂