From fe14415097ec77b660483826b63d4c7ba5c34b2d Mon Sep 17 00:00:00 2001
From: willgraf <7930703+willgraf@users.noreply.github.com>
Date: Wed, 25 Aug 2021 17:12:28 -0700
Subject: [PATCH] Bump version to 0.10.0. (#530)

* Bump version to 0.10.0.

* Bump version in README too
---
 README.md            | 2 +-
 deepcell/_version.py | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 0a3e7994..541417b9 100644
--- a/README.md
+++ b/README.md
@@ -67,7 +67,7 @@ docker run --gpus '"device=0"' -it --rm \
     -p 8888:8888 \
     -v $PWD/notebooks:/notebooks \
     -v $PWD/data:/data \
-    vanvalenlab/deepcell-tf:0.9.0-gpu
+    vanvalenlab/deepcell-tf:0.10.0-gpu
 ```
 
 This will spin up a docker container with `deepcell-tf` installed and start a jupyter session using the default port 8888. This command also mounts a data folder (`$PWD/data`) and a notebooks folder (`$PWD/notebooks`) to the docker container so it can access data and Juyter notebooks stored on the host workstation. For any saved data or models to persist once the container is shut down, or be accessible outside of the container in general, it must be saved in these mounted directories. The default port can be changed to any non-reserved port by updating `-p 8888:8888` to, e.g., `-p 8080:8888`. If you run across any errors getting started, you should either refer to the `deepcell-tf` for developers section or raise an issue on GitHub.
diff --git a/deepcell/_version.py b/deepcell/_version.py
index a4209ed1..42fdce38 100644
--- a/deepcell/_version.py
+++ b/deepcell/_version.py
@@ -27,7 +27,7 @@
 __title__ = 'DeepCell'
 __description__ = 'Deep learning for single cell image segmentation'
 __url__ = 'https://github.com/vanvalenlab/deepcell-tf'
-__version__ = '0.10.0-rc.3'
+__version__ = '0.10.0'
 __download_url__ = '{}/tarball/{}'.format(__url__, __version__)
 __author__ = 'The Van Valen Lab'
 __author_email__ = 'vanvalen@caltech.edu'