+1 for this RC1. Thanks Kevin drive this release and everyone for the great works. I've done the following tests: 1. Install the helm charts against the minikube 2. Install the helm charts against the kind 3. Check the UI's features, create the notebook/experiment and run work
BR, Wanqiang Ji On Wed, Oct 28, 2020 at 4:52 PM Zhankun Tang <[email protected]> wrote: > Thanks for the great efforts! Kevin! > I've done the below testing > 1. Verify the signatures (I signed Kevin's key and updated the KEYS file) > 2. Build from source > 3. Install the helm charts against Docker desktop k8s (v1.14.8) > 4. Check basic UI's experiment and notebook features > > And I like the built-in examples in our notebook image. It's > straightforward for beginners to get familiar with our SDK. > One minor suggestion is that we can add a link in parent readme > < > https://github.com/apache/submarine/blob/master/docs/userdocs/k8s/README.md > > > to our notebook.md doc. But this is not a blocker, we can improve docs > later since it's in GitHub for now. > > I'll give my *+1(binding)* to this RC1. > > @Wei-Chiu Chuang <[email protected]> BTW, I can download the > "apache/submarine:mini-0.5.0-RC1" image on my laptop. > > BR, > Zhankun > > On Mon, 26 Oct 2020 at 10:21, Wei-Chiu Chuang <[email protected] > > > wrote: > > > Curious -- I see mini-0.5.0-RC1 and RC0 docker images, however, the > > operator, server, database and jupyter-notebook docker images are all > > tagged version 0.5.0. Was this intentional? > > > > I kept getting disk full error trying to pull the RC1 minisubmarine > > image: docker pull apache/submarine:mini-0.5.0-RC1 > > > > failed to register layer: Error processing tar file(exit status 1): write > > > > > /home/yarn/submarine/tf2-venv/lib/python3.6/site-packages/tensorflow_core/python/_pywrap_tensorflow_internal.so: > > no space left on device > > > > I've already run docker system prune to remove unnecessary volumes and > > images, and my local disk has more than 200GB of space. > > > > After the release, we should update the release information in the Apache > > system: https://reporter.apache.org/addrelease.html?submarine (I believe > > the access is restricted to PMCs) > > > > The docker images should be regarded as convenience binary, and our vote > is > > for the source code. So if you need to update the images, no need to > > bote again. > > > > On Sun, Oct 25, 2020 at 12:46 PM Wei-Chiu Chuang <[email protected]> > > wrote: > > > > > Not a blocker, but I do notice our doc has lots of "TODO" and "FIXME" > and > > > then realized our doc is a WIP from SUBMARINE-518. > > > I'd like to find a time to contribute to the docs later. > > > > > > On Thu, Oct 22, 2020 at 4:16 AM Kevin Su <[email protected]> wrote: > > > > > >> Hi folks, > > >> > > >> > > >> Thanks to everyone's help on this release. Special thanks to Wangda, > > >> > > >> Zhankun, Xun, Wei-Chiu, Wanqiang, Ryan, Manikandan, and JohnTing! > > >> > > >> I've created a release candidate (RC1) for submarine 0.5.0. The > > >> highlighted > > >> > > >> features are as follows: > > >> > > >> 1. Submarine Experiments: Redefined the experiment spec, sync up code > > from > > >> Git, it could be https and ssh > > >> > > >> 2. Predefined experiment template: Register A experiment template and > > >> submit related parameter to run an experiment using Rest API > > >> > > >> 3. Environment profile: Users could easily manage their docker image > and > > >> conda environment > > >> > > >> 4. Jupyter Notebook: Spawn a jupyter notebook using Rest API, and > > execute > > >> ML code on K8s, or submit an experiment to submarine server > > >> > > >> 5. Submarine Workbench UI: CRUD Experiment, Environment, Notebook > > through > > >> the UI > > >> > > >> The RC tag in git is here: > > >> https://github.com/apache/submarine/releases/tag/release-0.5.0-RC1 > > >> The RC release artifacts are available at: > > >> http://home.apache.org/~pingsutw/submarine-0.5.0-RC1 > > >> > > >> The mini-submarine image is here: > > >> > > >> > > > https://hub.docker.com/layers/apache/submarine/mini-0.5.0-RC1/images/sha256-b8bc864a9a6409361de96d93e467c6458c96f6d2d85c74639a201b1c1b9af3a0?context=explore > > >> > > >> The server image is here: > > >> > > >> > > > https://hub.docker.com/layers/apache/submarine/server-0.5.0/images/sha256-3c197696a773cebf3409acc5ed89504e9f56240a1748b107031bf32a4ba79e40?context=explore > > >> > > >> The database image is here: > > >> > > >> > > > https://hub.docker.com/layers/apache/submarine/database-0.5.0/images/sha256-fcf72289e0aa46e83fc8e65c8aca79be4bba96ec9813d54568e5679925cdc94f?context=explore > > >> > > >> The Jupyter Notebook image is here: > > >> > > >> > > > https://hub.docker.com/layers/apache/submarine/jupyter-notebook-0.5.0/images/sha256-1e05cdd3c814063b3cac9de12bdecd70475d38d708c06794c2d3b55ef97de82a?context=explore > > >> > > >> The Maven staging repository is here: > > >> > > > https://repository.apache.org/content/repositories/orgapachesubmarine-1015 > > >> > > >> My public key is here: > > >> https://dist.apache.org/repos/dist/release/submarine/KEYS > > >> > > >> *This vote will run for 7 days, ending on Oct 29, 2020, at 11:59 pm > > PST.* > > >> > > >> For the testing, I have verified the > > >> > > >> 1. Build from source, Run the mnist on Hadoop > > >> > > >> 2. Example with mini-submarine(both local and remote mode) > > >> > > >> 3. Verified the experiment operations to K8s by Submarine Server REST > > and > > >> PySubmarine. > > >> > > >> 4. Workbench UI (experiment, environment, notebook) > > >> > > >> 5. HTTP sync code in the experiment > > >> > > >> 6. Environment profile REST API > > >> > > >> 7. Notebook REST API > > >> > > >> > > >> Please follow the document to test these features. > > >> * > > >> > > > https://github.com/apache/submarine/tree/master/dev-support/mini-submarine > > >> * > > https://github.com/apache/submarine/blob/master/docs/user-guide-home.md > > >> > > >> My +1 to start. Thanks! > > >> > > >> BR, > > >> Kevin Su > > >> > > > > > >
