Merge pull request RasaHQ#5532 from RasaHQ/merge-1.9.4-master

Merge 1.9.4 into master

Author: dakshvar22

CHANGELOG.rst

@@ -17,6 +17,14 @@ This project adheres to `Semantic Versioning`_ starting with version 1.0.
 
 .. towncrier release notes start
 
+[1.9.4] - 2020-03-30
+^^^^^^^^^^^^^^^^^^^^
+
+Bugfixes
+--------
+- `#5529 <https://github.com/rasahq/rasa/issues/5529>`_: Fix memory leak problem on increasing number of calls to ``/model/parse`` endpoint.
+
+
 [1.9.3] - 2020-03-27
 ^^^^^^^^^^^^^^^^^^^^
 

README.md

@@ -156,7 +156,10 @@ Releasing a new version is quite simple, as the packages are build and distribut
 
 *Release steps*:
 1. Make sure all dependencies are up to date (**especially Rasa SDK**)
+    - For Rasa SDK that means first creating a [new Rasa SDK release](https://github.com/RasaHQ/rasa-sdk#steps-to-release-a-new-version) (make sure the version numbers between the new Rasa and Rasa SDK releases match)
+    - Once the tag with the new Rasa SDK release is pushed and the package appears on [pypi](https://pypi.org/project/rasa-sdk/), the dependency in the rasa repository can be resolved (see below).
 2. Switch to the branch you want to cut the release from (`master` in case of a major / minor, the current feature branch for patch releases) 
+    - Update the `rasa-sdk` entry in `pyproject.toml` with the new release version and run `poetry update`. This creates a new `poetry.lock` file with all dependencies resolved.
 3. Run `make release`
 4. Create a PR against master or the release branch (e.g. `1.2.x`)
 5. Once your PR is merged, tag a new release (this SHOULD always happen on master or release branches), e.g. using

pyproject.toml

@@ -9,7 +9,7 @@ exclude = "((.eggs | .git | .pytype | .pytest_cache | build | dist))"
 
 [tool.poetry]
 name = "rasa"
-version = "1.9.3"
+version = "1.9.4"
 description = "Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants"
 authors = [ "Rasa Technologies GmbH <[email protected]>",]
 maintainers = [ "Tom Bocklisch <[email protected]>",]

rasa/utils/tensorflow/models.py

@@ -206,8 +206,8 @@ def predict(self, predict_data: RasaModelData) -> Dict[Text, tf.Tensor]:
             logger.debug("There is no tensorflow prediction graph.")
             self.build_for_predict(predict_data)
 
-        predict_dataset = predict_data.as_tf_dataset(batch_size=1)
-        batch_in = next(iter(predict_dataset))
+        # Prepare a single batch of size 1
+        batch_in = predict_data.prepare_batch(start=0, end=1)
 
         self._training = False  # needed for eager mode
         return self._predict_function(batch_in)

rasa/version.py

@@ -1,3 +1,3 @@
 # this file will automatically be changed,
 # do not add anything but the version number here!
-__version__ = "1.9.3"
+__version__ = "1.9.4"