horovod_user_test_master is failing with recent horovod release[[link](https://buildkite.com/ray-project/periodic-ci/builds/2960#61dabda8-eea0-4b7b-93bf-9e341926d3fd)].
Error message is saying:
```
AttributeError: Can't get attribute '_ExecutorDriver' on <module 'horovod.ray.runner' from '/home/ray/anaconda3/lib/python3.7/site-packages/horovod/ray/runner.py'>
```
The horovod test is set up in such a way that it has the "driver" (a.k.a. client) part (which is the code that runs in a buildkite agent) and the "cluster" (a.k.a. server) part (which runs in Anyscale cluster). Driver's dependency is specified by `release/ml_user_tests/horovod/driver_setup_master.sh` while cluster's dependency is specified by `release/horovod_tests/app_config_master.yaml`.
The two communicate via Anyscale client.
The above error message is complaining that while client's horovod version has _ExecutorDriver in runner.py, the server's horovod doesn't. This is due to the version mismatch of the above two files. This PR brings the two horovod dependency to both point to horovod master.
Passing tests: https://buildkite.com/ray-project/periodic-ci/builds/2560#_
Add an echo timestamp to the post build commands of the ray lightning release tests to trigger a cluster env rebuild and get the latest versions of ray lightning. Without this, the cluster env gets cached so an outdated version is installed on the cluster that is different than the one on the driver, resulting in the below failures.
Closes#21871Closes#21863
Also reinstalls the dependencies in the post build commands so old versions are not cached in the Docker images
This fixes the previous problems from team column revert.
This has 2 additional changes;
alert handler receives the team argument, which was the root cause of breakage; https://github.com/ray-project/ray/pull/21289
Previously, tests without a team column were raising an exception, but I made the condition weaker (warning logs). I will eventually change it to raise an exception, but for smoother transition, we will log warning instead for a short time
Please review **e2e.py and test_suite belonging to your team**!
This is the first part of https://docs.google.com/document/d/16IrwerYi2oJugnRf5hvzukgpJ6FAVEpB6stH_CiNMjY/edit#
This PR adds a team name to each test suite.
If the name is not specified, it will be reported as unspecified.
If you are running a local test, and if the new test suite doesn't have a team name specified, it will raise an exception (in this way, we can avoid missing team names in the future).
Note that we will aggregate all of test config into a single file, nightly_test.yaml.
Instead of wrapping the whole training run in a remote call, we only query the files on the node in a remote call. XGBoost-Ray is then started from the local node.
* [xgboost] Fix release test app configs
* Revert full app config
* Update base docker image
* Only change cpu base image
* default
* Pin xgboost to 1.5. in cpu tests
* Remove numpy hack
* Revert one line
Co-authored-by: Amog Kamsetty <amogkamsetty@yahoo.com>
* use nightly
* switch ml cpu to ray cpu
* fix
* add pytest
* add more pytest
* add constraint
* add tensorflow
* fix merge conflict
* add tblib
* fix
* add back uninstall
