Update release notes and version for TFMOT release 0.8.0.

PiperOrigin-RevId: 605154755

Author: Xhark

RELEASE.md

@@ -32,6 +32,15 @@ Keras pruning API:
 
 # TensorFlow Model Optimization next release TBD
 
+# TensorFlow Model Optimization 0.8.0
+
+TFMOT 0.8.0 forces users to use the keras v2 version.
+ * Fix structural pruning sparsity notebook
+ * Remove private Keras imports.
+ * Redirect TF references.
+ * Fix broken tests.
+ * Tested against TensorFlow 2.14.1, and nightly on Python 3.
+
 # TensorFlow Model Optimization 0.7.5
 
 TFMOT 0.7.5 fixes compatibility issues with new keras.

pip_pkg.sh

@@ -34,7 +34,7 @@ mkdir -p "$1"
 DEST=$(dirname "${1}/does_not_exist")
 DEST=$(cd "$DEST" && pwd)
 
-cd bazel-bin/pip_pkg.runfiles/tensorflow_model_optimization
+cd bazel-bin/pip_pkg.runfiles/_main
 
 # Pass through remaining arguments (following the first argument, which
 # specifies the output dir) to setup.py, e.g.,

tensorflow_model_optimization/python/core/version.py

@@ -16,15 +16,15 @@
 
 # We follow Semantic Versioning (https://semver.org/)
 _MAJOR_VERSION = '0'
-_MINOR_VERSION = '7'
-_PATCH_VERSION = '5'
+_MINOR_VERSION = '8'
+_PATCH_VERSION = '0'
 
 # When building releases, we can update this value on the release branch to
 # reflect the current release candidate ('rc0', 'rc1') or, finally, the official
 # stable release (indicated by `_VERSION_SUFFIX = ''`). Outside the context of a
 # release branch, the current version is by default assumed to be a
 # 'development' version, labeled 'dev'.
-_VERSION_SUFFIX = 'dev'
+_VERSION_SUFFIX = ''
 
 # Example, '0.4.0-dev'
 __version__ = '.'.join([