Allows users of the HyperOptSearch suggestion algorithm to specify initial experiment values to run (typically already known good baseline parameters within the domain specified)
* added store_client_ to object_manager and node_manager
* half through...
* all code in, and compiling! Nothing tested though...
* something is working ;-)
* added a few more comments
* now, add only one entry to the in GCS for inlined objects
* more comments
* remove a spurious todo
* some comment updates
* add test
* added support for meta data for inline objects
* avoid some copies
* Initialize plasma client in tests
* Better comments. Enable configuring nline_object_max_size_bytes.
* Update src/ray/object_manager/object_manager.cc
Co-Authored-By: istoica <istoica@cs.berkeley.edu>
* Update src/ray/raylet/node_manager.cc
Co-Authored-By: istoica <istoica@cs.berkeley.edu>
* Update src/ray/raylet/node_manager.cc
Co-Authored-By: istoica <istoica@cs.berkeley.edu>
* fiexed comments
* fixed various typos in comments
* updated comments in object_manager.h and object_manager.cc
* addressed all comments...hopefully ;-)
* Only add eviction entries for objects that are not inlined
* fixed a bunch of comments
* Fix test
* Fix object transfer dump test
* lint
* Comments
* Fix test?
* Fix test?
* lint
* fix build
* Fix build
* lint
* Use const ref
* Fixes, don't let object manager hang
* Increase object transfer retry time for travis?
* Fix test
* Fix test?
* Add internal config to java, fix PlasmaFreeTest
## What do these changes do?
* Improved --no-cuda handling
* Removed deprecated Variable usage
## Related issue number
Fixes#3873
<!-- Are there any issues opened that will be resolved by merging this change? -->
Breaks the node provider node getter into cached and non-cached versions.
Fixes#3930 by updating the node label finger print before updating labels.
Fixes#3935 by refreshing node cache if node ip is not found.
- NodeUpdater gets its' IP in parallel now (no longer in __init__)
- We use persistent connections in SSH (temp folder created only for ray; ControlMaster)
- hash_runtime_conf was performing a pointless hexlify step, wasting time on large files
- We use NodeUpdaterThreads and share the NodeProvider; NodeUpdaterProcess is removed
- AWSNodeProvider caches nodes more aggressively
- NodeProvider now has a shim batch terminate_nodes() call; AWSNodeProvider parallelises it; the autoscaler uses it
- AWSNodeProvider batches EC2 update_tags calls
- Logging changes throughout to provide standardised timing information for profiling
- Pulled out a few unnecessary is_running calls (NodeUpdater will loop waiting for SSH anyway)
## Related issue number
Issue #3599
In earlier PRs, PR#3585 and PR#3637, export_policy_model and export_policy_checkpoint were introduced for users to export TensorFlow model and checkpoint.
For Ray Tune users, these APIs are not accessible through YAML configurations.
In this pull request, export_formats option is provided to enable users to choose the desired export format.
