[RLlib] Cleanup examples folder vol 32: Enable RLlib + Serve example in CI and translate to new API stack. #48687
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sven1977
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serve
simonsays1980
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Nov 11, 2024
| action = self.algo.compute_single_action(obs) | ||
| # Compute and return the action for the given observation (create a batch | ||
| # with B=1 and convert to torch). | ||
| output = self.rl_module.forward_inference( |
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For a better practical usability we might need to enlarge this example by a connector run. This might be the default we will see in practice.
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Yeah, makes sense!
Maybe add another example where we restore the EnvToModule pipeline + the RLModule.
Like we do in the ray.rllib.examples.inference.policy_inference_after_training_w_connector.py script.
| episode_return += reward | ||
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| # If episode done -> reset to get initial observation of new episode. | ||
| if done: | ||
| if terminated or truncated: |
…le_rllib_plus_serve_example_in_ci
JP-sDEV
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Nov 14, 2024
…in CI and translate to new API stack. (ray-project#48687) Signed-off-by: JP-sDEV <jon.pablo80@gmail.com>
mohitjain2504
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Nov 15, 2024
…in CI and translate to new API stack. (ray-project#48687) Signed-off-by: mohitjain2504 <mohit.jain@dream11.com>
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Cleanup examples folder vol 32: Enable RLlib + Serve example in CI and translate to new API stack.
Why are these changes needed?
Related issue number
Checks
git commit -s) in this PR.scripts/format.shto lint the changes in this PR.method in Tune, I've added it in
doc/source/tune/api/under thecorresponding
.rstfile.