* Cross language serialization for Java and Python
* Use strict types when Python serializing
* Handle recursive objects in Python; Pin msgpack >= 0.6.0, < 1.0.0
* Disable gc for optimizing msgpack loads
* Fix merge bug
* Java call Python use returnType; Fix ClassLoaderTest
* Fix RayMethodsTest
* Fix checkstyle
* Fix lint
* prepare_args raises exception if try to transfer a non-deserializable object to another language
* Fix CrossLanguageInvocationTest.java, Python msgpack treat float as double
* Minor fixes
* Fix compile error on linux
* Fix lint in java/BUILD.bazel
* Fix test_failure
* Fix lint
* Class<?> to Class<T>; Refine metadata bytes.
* Rename FST to Fst; sort java dependencies
* Change Class<?>[] to Optional<Class<?>>; sort requirements in setup.py
* Improve CrossLanguageInvocationTest
* Refactor MessagePackSerializer.java
* Refactor MessagePackSerializer.java; Refine CrossLanguageInvocationTest.java
* Remove unnecessary dependencies for Java; Add getReturnType() for RayFunction in Java
* Fix bug
* Remove custom cross language type support
* Replace Serializer.Meta with MutableBoolean
* Remove @SuppressWarnings support from checkstyle.xml; Add null test in CrossLanguageInvocationTest.java
* Refine MessagePackSerializer.pack
* Ray.get support RayObject as input
* Improve comments and error info
* Remove classLoader argument from serializer
* Separate msgpack from pickle5 in Python
* Pair<byte[], MutableBoolean> to Pair<byte[], Boolean>
* Remove public static <T> T get(RayObject<T> object), use RayObject.get() instead
* Refine test
* small fixes
Co-authored-by: 刘宝 <po.lb@antfin.com>
Co-authored-by: Hao Chen <chenh1024@gmail.com>
* switch to ARM templates for config and VMs
* switch to ARM templates for config and VMs
* auto-formatting
* addressed Scotts comment
* added missing imports
* fixed gpu templates
fixed wheel reference
* added missing reference
* cleanup wording and yamls
* Update doc/source/autoscaling.rst
Co-Authored-By: Scott Graham <5720537+gramhagen@users.noreply.github.com>
Co-authored-by: Ubuntu <marcozo@marcozodev2.zqvgrdyupqrudayw1il1agipig.jx.internal.cloudapp.net>
Co-authored-by: Scott Graham <5720537+gramhagen@users.noreply.github.com>
Why are these changes needed?
Running a worker on head (locally, not as a Ray actor) allows for easier handling of stateful stuff like logging and for easier debugging.
* Update issue templates
* Init fp16
* fp16 and schedulers
* scheduler linking and fp16
* to fp16
* loss scaling and documentation
* more documentation
* add tests, refactor config
* moredocs
* more docs
* fix logo, add test mode, add fp16 flag
* fix tests
* fix scheduler
* fix apex
* improve safety
* fix tests
* fix tests
* remove pin memory default
* rm
* fix
* Update doc/examples/doc_code/raysgd_torch_signatures.py
* fix
* migrate changes from other PR
* ok thanks
* pass
* signatures
* lint'
* Update python/ray/experimental/sgd/pytorch/utils.py
* Apply suggestions from code review
Co-Authored-By: Edward Oakes <ed.nmi.oakes@gmail.com>
* should address most comments
* comments
* fix this ci
* first_pass
* add overrides
* override
* fixing up operators
* format
* sgd
* constants
* rm
* revert
* Checkpoint the basics
* End of day checkpoint
* Checkpoint log-to-head implementation
* Checkpoint
* Add actor-based batch log reporting, currently segfaults
* Work around progress segfault
* Fix some stuff in quicktorch
* Make things more customizable
* Quality of life fixes
* More quality of life
* Move tqdm logic to training_operator
* Update examples
* Fix some minor bugs
* Fix merge
* Fix small things, add pbar to dcgan
* Run format.sh
* Fix missing epoch number for batch pbar
* Address PR comments
* Fix float is not subscriptable
* Add train_loss to pbar by default
* Isolate tqdm code into a handler system
* Format
* Remove the batch_logs_reporter from distributed runner as well
* Check if the train_loss is avaialbale before using it
* Enable tqdm in the dcgan example
* Fix a crash in no-handler trainers
* Fix
* Allow not calling set_reporters for tests
Co-authored-by: Philipp Moritz <pcmoritz@gmail.com>
Co-authored-by: Richard Liaw <rliaw@berkeley.edu>
Co-authored-by: Edward Oakes <ed.nmi.oakes@gmail.com>
