Acquire worker lock when importing actor. #1783
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pcmoritz
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Mar 27, 2018
royf
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Apr 22, 2018
* commit 'f69cbd35d4e86f2a3c2ace875aaf8166edb69f5d': (64 commits) Bump version to 0.4.0. (ray-project#1745) Fix monitor.py bottleneck by removing excess Redis queries. (ray-project#1786) Convert the ObjectTable implementation to a Log (ray-project#1779) Acquire worker lock when importing actor. (ray-project#1783) Introduce a log interface for the new GCS (ray-project#1771) [tune] Fix linting error (ray-project#1777) [tune] Added pbt with keras on cifar10 dataset example (ray-project#1729) Add a GCS table for the xray task flatbuffer (ray-project#1775) [tune] Change tune resource request syntax to be less confusing (ray-project#1764) Remove from X import Y convention in RLlib ES. (ray-project#1774) Check if the provider is external before getting the config. (ray-project#1743) Request and cancel notifications in the new GCS API (ray-project#1758) Fix resource bookkeeping for blocked actor methods. (ray-project#1766) Fix bug when connecting another driver in local case. (ray-project#1760) Define string prefixes for all tables in the new GCS API (ray-project#1755) [rllib] Update RLlib to work with new actor scheduling behavior (ray-project#1754) Redirect output of all processes by default. (ray-project#1752) Add API for getting total cluster resources. (ray-project#1736) Always send actor creation tasks to the global scheduler. (ray-project#1757) Print error when actor takes too long to start, and refactor error me… (ray-project#1747) ... # Conflicts: # python/ray/rllib/__init__.py # python/ray/rllib/dqn/dqn.py # python/ray/rllib/dqn/dqn_evaluator.py # python/ray/rllib/dqn/dqn_replay_evaluator.py # python/ray/rllib/optimizers/__init__.py # python/ray/rllib/tuned_examples/pong-dqn.yaml
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This probably fixes #1773. Without grabbing the lock, we may try to import and unpickle two things at the same time, which may cause issues.