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ray-project / ray

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[serve] Feature request: timeout or max_retries to limit the time spent waiting for a deployment to complete

edoakes
edoakes commented Sep 8, 2021

From a slack message:

Hi, So I observed that if you deploy a deployment with more replicas than the available resources serve keeps trying to allocate them waiting for autoscaler.

(pid=125021) 2021-09-07 20:52:42,899    INFO http_state.py:75 -- Starting HTTP proxy with name 'pfaUeM:SERVE_CONTROLLER_ACTOR:SERVE_PROXY_ACTOR-node:192.168.1.13-0' on node 'node:192.168.1.13-0' listening on '12
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good first issue P2 serve
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kmario23 / deep-learning-drizzle

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Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

machine-learning natural-language-processing deep-neural-networks reinforcement-learning computer-vision deep-learning optimization machine-translation deep-reinforcement-learning medical-imaging speech-recognition artificial-neural-networks pattern-recognition probabilistic-graphical-models bayesian-statistics artificial-intelligence-algorithms visual-recognition graph-neural-networks
  • Updated Sep 5, 2021
annotated_deep_learning_paper_implementations

labmlai / annotated_deep_learning_paper_implementations

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🧑‍🏫 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit), optimizers (adam, radam, adabelief), gans(dcgan, cyclegan, stylegan2), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, etc. 🧠

machine-learning reinforcement-learning deep-learning transformers pytorch transformer gan neural-networks deep-learning-tutorial optimizers
  • Updated Sep 8, 2021
  • Jupyter Notebook
stable-baselines

hill-a / stable-baselines

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Episode rewards not updated before being used by callback.on_step()

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calerc
calerc commented Nov 23, 2020

The following applies to DDPG and TD3, and possibly other models. The following libraries were installed in a virtual environment:

numpy==1.16.4
stable-baselines==2.10.0
gym==0.14.0
tensorflow==1.14.0

Episode rewards do not seem to be updated in model.learn() before callback.on_step(). Depending on which callback.locals variable is used, this means that:

  • episode rewards may n
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good first issue question

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