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[RLlib] Cleanup examples folder #13. Fix main examples docs page for RLlib. #45382

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@sven1977 sven1977 commented May 16, 2024

Cleanup examples folder #13. Fix main examples docs page for RLlib.

Why are these changes needed?

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  • I've signed off every commit(by using the -s flag, i.e., git commit -s) in this PR.
  • I've run scripts/format.sh to lint the changes in this PR.
  • I've included any doc changes needed for https://docs.ray.io/en/master/.
    • I've added any new APIs to the API Reference. For example, if I added a
      method in Tune, I've added it in doc/source/tune/api/ under the
      corresponding .rst file.
  • I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/
  • Testing Strategy
    • Unit tests
    • Release tests
    • This PR is not tested :(

Signed-off-by: sven1977 <svenmika1977@gmail.com>
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…p_examples_folder_11_fractional_gpus

# Conflicts:
#	rllib/utils/test_utils.py
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@sven1977 sven1977 added rllib RLlib related issues rllib-docs-or-examples Issues related to RLlib documentation or rllib/examples rllib-newstack rllib-oldstack-cleanup Issues related to cleaning up classes, utilities on the old API stack labels May 16, 2024
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Just some style nits and a few typos.

doc/source/rllib/rllib-advanced-api.rst Outdated Show resolved Hide resolved
doc/source/rllib/rllib-advanced-api.rst Outdated Show resolved Hide resolved
doc/source/rllib/rllib-advanced-api.rst Outdated Show resolved Hide resolved
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doc/source/rllib/rllib-advanced-api.rst Outdated Show resolved Hide resolved
`num_gpus_per_worker` to 0 (they may be set to 1 by default for your
particular RL algorithm)."""
machine does not have any GPUs, you should set the config keys
`num_gpus_per_learner` and `num_gpus_per_env_runner` to 0 (they may be set to
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`num_gpus_per_learner` and `num_gpus_per_env_runner` to 0 (they may be set to
`num_gpus_per_learner` and `num_gpus_per_env_runner` to 0. They may be set to

particular RL algorithm)."""
machine does not have any GPUs, you should set the config keys
`num_gpus_per_learner` and `num_gpus_per_env_runner` to 0 (they may be set to
1 by default for your particular RL algorithm)."""
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Suggested change
1 by default for your particular RL algorithm)."""
1 by default for your particular RL algorithm."""

particular RL algorithm)."""
machine does not have any GPUs, you should set the config keys
`num_gpus_per_learner` and `num_gpus_per_env_runner` to 0 (they may be set to
1 by default for your particular RL algorithm)."""

ERR_MSG_INVALID_ENV_DESCRIPTOR = """The env string you provided ('{}') is:
a) Not a supported/installed environment.
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a) Not a supported/installed environment.
a) Not a supported or installed environment.

@@ -1346,6 +1347,11 @@ def run_rllib_example_script_experiment(
tune_callbacks: A list of Tune callbacks to configure with the tune.Tuner.
In case `args.wandb_key` is provided, will append a WandB logger to this
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In case `args.wandb_key` is provided, will append a WandB logger to this
In case `args.wandb_key` is provided, appends a WandB logger to this

keep_config: Set this to True, if you don't want this utility to change the
given `base_config` in any way and leave it as-is. This is helpful
for example script that want to demonstrate how to set those settings
that are usually taken care of automatically in this function (e.g.
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that are usually taken care of automatically in this function (e.g.
that are usually taken care of automatically in this function (e.g.,

…nup_examples_folder_13_folder_readme

Signed-off-by: sven1977 <svenmika1977@gmail.com>

# Conflicts:
#	doc/source/rllib/rllib-advanced-api.rst
#	doc/source/rllib/rllib-learner.rst
#	rllib/BUILD
#	rllib/algorithms/algorithm.py
#	rllib/algorithms/algorithm_config.py
#	rllib/algorithms/dreamerv3/tests/test_dreamerv3.py
#	rllib/core/learner/learner.py
#	rllib/core/learner/scaling_config.py
#	rllib/examples/checkpoints/restore_1_of_n_agents_from_checkpoint.py
#	rllib/examples/gpus/fractional_gpus_per_learner.py
#	rllib/tuned_examples/dreamerv3/atari_100k.py
#	rllib/tuned_examples/dreamerv3/atari_200M.py
#	rllib/tuned_examples/dreamerv3/dm_control_suite_vision.py
#	rllib/utils/test_utils.py
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sven1977 and others added 12 commits June 10, 2024 12:21
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Co-authored-by: angelinalg <122562471+angelinalg@users.noreply.github.com>
Signed-off-by: Sven Mika <sven@anyscale.io>
Co-authored-by: angelinalg <122562471+angelinalg@users.noreply.github.com>
Signed-off-by: Sven Mika <sven@anyscale.io>
Co-authored-by: angelinalg <122562471+angelinalg@users.noreply.github.com>
Signed-off-by: Sven Mika <sven@anyscale.io>
Signed-off-by: sven1977 <svenmika1977@gmail.com>
…r_readme' into cleanup_examples_folder_13_folder_readme
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@sven1977 sven1977 changed the title [RLlib] Cleanup examples folder 13: Add READMEs to folder and all sub-folders. [RLlib] Cleanup examples folder #13. Fix main examples docs page for RLlib. Jun 11, 2024
Signed-off-by: sven1977 <svenmika1977@gmail.com>
…nup_examples_folder_13_folder_readme

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# Conflicts:
#	rllib/examples/inference/policy_inference_after_training.py
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@sven1977 sven1977 enabled auto-merge (squash) June 11, 2024 13:52
@github-actions github-actions bot added the go add ONLY when ready to merge, run all tests label Jun 11, 2024
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LGTM.

@@ -114,7 +114,7 @@ The following figure shows *synchronous sampling*, the simplest of `these patter

RLlib uses `Ray actors <actors.html>`__ to scale training from a single core to many thousands of cores in a cluster.
You can `configure the parallelism <rllib-training.html#specifying-resources>`__ used for training by changing the ``num_env_runners`` parameter.
Check out our `scaling guide <rllib-training.html#scaling-guide>`__ for more details here.
See this `scaling guide <rllib-training.html#scaling-guide>`__ for more details here.
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The scaling guide also needs to be overhauled.

CUDA devices. For example if `os.environ["CUDA_VISIBLE_DEVICES"] = "1"`
then a `local_gpu_idx` of 0 will use the GPU with ID=1 on the node.
and `local_gpu_idx=0`, RLlib uses the GPU with ID=1 on the node.
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This feels counterintuitive. The GPU index 0 does not equal the environment variable 1 and we have two or more GPUs for a single learner. A user would expect a single GPU for a single learner when multiple GPUs are available on a node to be indicated with an ID or index. Do I misunderstand sth here?

`num_learners` x `train_batch_size_per_learner` and can
be accessed via the property `AlgorithmConfig.total_train_batch_size`.
`num_learners` x `train_batch_size_per_learner` and you can
access it with the property `AlgorithmConfig.total_train_batch_size`.
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We should refer hereto in the scaling guide ~ if not done yet.

@github-actions github-actions bot disabled auto-merge June 12, 2024 10:03
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@sven1977 sven1977 enabled auto-merge (squash) June 12, 2024 11:21
@sven1977 sven1977 merged commit c84bf37 into ray-project:master Jun 12, 2024
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@sven1977 sven1977 deleted the cleanup_examples_folder_13_folder_readme branch June 12, 2024 12:59
richardsliu pushed a commit to richardsliu/ray that referenced this pull request Jun 12, 2024
…s page for RLlib. (ray-project#45382)

Signed-off-by: Richard Liu <ricliu@google.com>
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