Assigned
Status Update
Comments
mp...@google.com <mp...@google.com>
mp...@google.com <mp...@google.com> #2
Hello,
Thank you for reaching out.
This issue was forwarded to our product team. Please keep in mind that this issue has to be analyzed and considered by the product team and I can't provide you ETA for it to be delivered. However, you can keep track of the status by following this thread.
Kind Regards
rz...@lyft.com <rz...@lyft.com> #3
Is there any update on this issue?
[Deleted User] <[Deleted User]> #4
Hello,
Thank you for your patience.
Our product team is currently working on it. Once there will be an update it will be shared in this thread.
Kind Regards
al...@supersolid.com <al...@supersolid.com> #5
Are there any alternative solutions or workarounds that would allow us to access the pipeline run id? This functionality is useful for us to be able to correlate our predictions with the pipeline runs that created them. And that in turn can help analysis/troubleshooting.
ya...@healx.io <ya...@healx.io> #6
Hello,
Thank you for reaching out. Our internal team is handling the case. Unfortunately there are no updates about it. For now, please stay tune to this thread for updates.
Regards,
Description
The current runtime versions [1] doesn't support TensorFlow-GPU 2.0 as the latest is 1.14.
[1]