Martin Krasser
Martin Krasser
See also http://blog.confluent.io/2014/12/02/whats-coming-in-apache-kafka-0-8-2/
- Stream stage that uses event handler to create and emit state snapshots and metadata at custom intervals - Initialize `EventSourcing` stage with state snapshot - Replay events from user-defined...
Use http://scalameta.org/scalafmt/
- `EventSourcing` stage must be able to consume events emitted by `PersistenceActor`. - `PersistenceActor` must be able to consume events emitted by `EventSourcing` stage (requires a special Akka Persistence `EventAdapter`...
Inspired by coordinate encoding done in https://arxiv.org/abs/2003.08934.
https://arxiv.org/abs/1912.08226
## Environment I installed Edward2 with `tf-nightly` as dependency ``` pip install edward2[tf-nightly]@"git+https://github.com/google/edward2.git#egg=edward2" ``` which set up the following dependencies: ``` tensorflow==2.4.0.dev20200926 tensorflow-probability==0.12.0.dev20200926 edward2==0.0.2 ... ``` Python version is 3.7.9....
In order to use `model.load_weights(..., by_name=True)` model layers should be named appropriately. Main use case is to initialize weights of x4 models with pre-trained weights from x2 models.