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ray/release/rllib_tests
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Kai Fricke 9352cb781c
[release tests] Fix microbenchmark base image, network overhead cluster wait time, add long running tests (#16355)
2021-06-16 21:37:17 +01:00
..
learning_tests [RLlib] Upgrade RLlib regression test scripts to new testing tool - RLlib release logs for 1.4. (#16080) 2021-06-01 17:39:18 +02:00
stress_tests [RLlib] Upgrade RLlib regression test scripts to new testing tool - RLlib release logs for 1.4. (#16080) 2021-06-01 17:39:18 +02:00
unit_gpu_tests [RLlib] Upgrade RLlib regression test scripts to new testing tool - RLlib release logs for 1.4. (#16080) 2021-06-01 17:39:18 +02:00
1gpu_4cpus.yaml [RLlib] Upgrade RLlib regression test scripts to new testing tool - RLlib release logs for 1.4. (#16080) 2021-06-01 17:39:18 +02:00
4gpus_544_cpus.yaml [RLlib] Upgrade RLlib regression test scripts to new testing tool - RLlib release logs for 1.4. (#16080) 2021-06-01 17:39:18 +02:00
8gpus_64cpus.yaml [RLlib] Upgrade RLlib regression test scripts to new testing tool - RLlib release logs for 1.4. (#16080) 2021-06-01 17:39:18 +02:00
app_config.yaml [RLlib] Upgrade RLlib regression test scripts to new testing tool - RLlib release logs for 1.4. (#16080) 2021-06-01 17:39:18 +02:00
README.rst [RLlib] Upgrade RLlib regression test scripts to new testing tool - RLlib release logs for 1.4. (#16080) 2021-06-01 17:39:18 +02:00
rllib_tests.yaml [release tests] Fix microbenchmark base image, network overhead cluster wait time, add long running tests (#16355) 2021-06-16 21:37:17 +01:00

README.rst 

RLlib Tests
===========

This directory contains various RLlib release tests.

You should run these tests with the `releaser <https://github.com/ray-project/releaser>`_ tool.

Overview
--------
Currently, there are 3 RLlib tests:

1. ``learning_tests`` - Tests, whether major algos (tf+torch) can learn in Atari or PyBullet envs in ~30-60min.
1. ``stress_tests`` - Runs 4 IMPALA Atari jobs, each one using 1GPU and 128CPUs (needs autoscaling to succeed).
1. ``unit_gpu_tests`` - Tests, whether all of RLlib's example scripts can be run on a GPU.

Generally the releaser tool will run all tests in parallel.

Acceptance criteria
-------------------
These tests are considered passing when they throw no error at the end of the output log.