ray/release/ml_user_tests/horovod/driver_setup_master.sh

#!/bin/bash

sudo apt update
sudo apt -y install build-essential
pip install cmake

pip install -U -r ./driver_requirements.txt

HOROVOD_WITH_GLOO=1 HOROVOD_WITHOUT_MPI=1 HOROVOD_WITHOUT_TENSORFLOW=1 HOROVOD_WITHOUT_MXNET=1 HOROVOD_WITH_PYTORCH=1 pip install -U git+https://github.com/horovod/horovod.git
[Release] Refactor User Tests (#20028) * wip * add directory * wip * try again * Revert "try again" This reverts commit 82d33ccea6f92848df025e019b87df73cea49e5d. * finish * formatting * fix merge * fix path * chmod * check * sudo * wip * update * fix horovod * try * typo * reduce num workers 2021-11-05 17:28:37 -07:00			`#!/bin/bash`

			`sudo apt update`
			`sudo apt -y install build-essential`
			`pip install cmake`

			`pip install -U -r ./driver_requirements.txt`

[release test] fix horovod release test. (#22781) 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. 2022-03-03 08:24:26 -08:00			`HOROVOD_WITH_GLOO=1 HOROVOD_WITHOUT_MPI=1 HOROVOD_WITHOUT_TENSORFLOW=1 HOROVOD_WITHOUT_MXNET=1 HOROVOD_WITH_PYTORCH=1 pip install -U git+https://github.com/horovod/horovod.git`