bhack
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Also we had an old thread about multi-class precision recall at https://github.com/tensorflow/addons/issues/1753
@tatatodd @joker-eph @MarkDaoust Do you know who is going to re-generate the tables mentioned by @tatatodd? It seems that last time they were updated in 2018.
It seems it was introduced many years ago by @caisq with https://github.com/caisq/tensorflow/commit/4b0a23684852fe68ac2248fe2e04e118a6173848
@lamberta @mihaimaruseac Do you know what kind of internal infra is going to "regularly" run https://github.com/tensorflow/tensorflow/blob/07c2bcc534a6b41c4953a1db70f6386b144cc5b7/tensorflow/compiler/tf2xla/tf2xla_supported_ops_main.cc#L20 to update the Markdown tables?
> One solution would be to integrate this into api-reference generator, add an XLA column to the https://www.tensorflow.org/api_docs/python/tf/raw_ops page: https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/docs/generate2.py#L104 Is this orchestrated by public available Github actions or with...
At least can we reopen this ticket adding also the XLA label?
> t's an internal tool that runs those.\nThey're run from the target version's github branch, with bazel available, so just calling that bazel command and Thanks so probably It Is...
I meant could it be tested locally when we have no visibility of the CI logs?
Yes when we don't have or we want to have the orchestration/environment with public visibility we need to have exrta docs on how to test this locally if we want...
Can we find an owner? As I don't know if @tatatodd is still on this project.