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This line: ``` pip3 install -U --force-reinstall xgboost xgboost_ray lightgbm_ray petastorm ``` also re-installs the dependencies of these packages, and the `--force-reinstall` means we overwrite existing ones. This leads us to re-install the latest ray release, overwriting the wheels to be tested: ``` [INFO] 5/31/2022, 12:12:16 AM: Successfully installed ... ray-1.12.1 ... [INFO] 5/31/2022, 12:12:17 AM: * Executed RUN pip3 install -U --force-reinstall xgboost xgboost_ray petastorm (ff6ae9f9) ``` Instead, we should use `--no-deps` to avoid re-installing dependencies. Also, the wheels sanity check is moved to after installing additional packages in order to catch these errors earlier. |
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| .. | ||
| learning_tests | ||
| multi_gpu_learning_tests | ||
| multi_gpu_with_attention_learning_tests | ||
| multi_gpu_with_lstm_learning_tests | ||
| stress_tests | ||
| unit_gpu_tests | ||
| 1gpu_4cpus.yaml | ||
| 2gpus_32cpus.yaml | ||
| 4gpus_64cpus.yaml | ||
| 4gpus_544_cpus.yaml | ||
| 8gpus_64cpus.yaml | ||
| 8gpus_96cpus.yaml | ||
| 12gpus_192cpus.yaml | ||
| app_config.yaml | ||
| 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.