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* remove hard tf dep * add test * comment fix * fix test
* fix clip_by_value issue * fix typo
* Add a SWAP TaskQueue so that we can keep track of tasks that are temporarily dequeued * Fix bug where tasks that fail to be forwarded don't appear to be local by adding them to SWAP queue * cleanups * updates * updates
…n user thread. (ray-project#4798) * Add WorkerUncaughtExceptionHandler * Fix * revert bazel and pom
* Update README.rst, index.rst, tutorial.rst and _config.yml
Introduces a minimally invasive utility for logging experiment results. A broad requirement for this tool is that it should integrate seamlessly with Tune execution.
… support (ray-project#4795) * dynamic graph * wip * clean up * fix * document trainer * wip * initialize the graph using a fake batch * clean up dynamic init * wip * spelling * use builder for ppo pol graph * add ppo graph * fix naming * order * docs * set class name correctly * add torch builder * add custom model support in builder * cleanup * remove underscores * fix py2 compat * Update dynamic_tf_policy_graph.py * Update tracking_dict.py * wip * rename * debug level * rename policy_graph -> policy in new classes * fix test * rename ppo tf policy * port appo too * forgot grads * default policy optimizer * make default config optional * add config to optimizer * use lr by default in optimizer * update * comments * remove optimizer * fix tuple actions support in dynamic tf graph
ray-project#4819) This implements some of the renames proposed in ray-project#4813 We leave behind backwards-compatibility aliases for *PolicyGraph and SampleBatch.
* add integration, iris, ASHA, recursive changes, set reuse_actors=True, and enable Analysis as a return object * docstring * fix up example * fix * cleanup tests * experiment analysis
* Add fields for fbs * WIP * Fix complition errors * Add java part * FIx * Fix * Fix * Fix lint * Refine API * address comments and add test * Fix * Address comment. * Address comments. * Fix linting * Refine * Fix lint * WIP: address comment. * Fix java * Fix py * Refin * Fix * Fix * Fix linting * Fix lint * Address comments * WIP * Fix * Fix * minor refine * Fix lint * Fix raylet test. * Fix lint * Update src/ray/raylet/worker_pool.h Co-Authored-By: Hao Chen <chenh1024@gmail.com> * Update java/runtime/src/main/java/org/ray/runtime/AbstractRayRuntime.java Co-Authored-By: Hao Chen <chenh1024@gmail.com> * Address comments. * Address comments. * Fix test. * Update src/ray/raylet/worker_pool.h Co-Authored-By: Hao Chen <chenh1024@gmail.com> * Address comments. * Address comments. * Fix * Fix lint * Fix lint * Fix * Address comments. * Fix linting
* Instructions for running Tensorboard without sudo When we run Tensorboard to visualize the results of Ray outputs on multi-user clusters where we don't have sudo access, such as RISE clusters, a few commands need to first be run to make sure tensorboard can edit the tmp directory. This is a pretty common usecase so I figured we may as well put it in the documentation for Tune. * Update tune-usage.rst
* conda3 * integration * add nevergrad, remotedata * pytest 0.3.1 * otherdockers * setup * tune
…t#5014) * add mixer params * Update qmix_policy.py
…project#5000) * give error if sample_async is used with pytorch * update * Update a3c.py
This reverts commit 92c0f88.
nikola-j
approved these changes
Jun 26, 2019
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Merge with ray master
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