Kim Sardine

It seems like `tfrs.Model` do not use multi gpus. so I've changed `tfrs.Model` to `tf.keras.Model` by referring to [official doc](https://www.tensorflow.org/recommenders/examples/basic_retrieval), and it just worked well. all my gpus shows high...

> Add following flags/feature gates in you API Server. In the file /etc/kubernetes/manifests/kube-apiserver.yaml > > ``` > - --feature-gates=TokenRequest=true > - --feature-gates=TokenRequestProjection=true > ``` > > It should look something...

it says `ScaNN supports Linux environments running Python versions 3.6-3.9` I found it works on docker with python 3.6-3.9

There's a conflict between this regex pattern and [manual-profile-creation](https://www.kubeflow.org/docs/components/multi-tenancy/getting-started/#manual-profile-creation). "manual-profile-creation" have no validation on email. It's just a string. on centraldashboard's "Manage Contributors" page, I can't remove manually-created contributor(static user)...

I just wondered if I can save model in Google Storage in one line. so for now, I have to do this by overriding ModelCheckpoint callback function and making new...

BTW, It won't be easy because `MoodelCheckpoint` is using not only `save()`, but also `load_weights`, `save_weights`.

Same issue here with `kfctl_aws_cognito.v1.2.0.yaml`!! infinite loop when user click logout button. [This youtube link](https://youtu.be/cAEtjMI1KcQ?t=2128) says that two steps are required to logout. 1. set expiration time of the authentication...