v2.6.0 release update (#1127)

NervanaSystems · Jan 5, 2018 · f9d771b · f9d771b
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diff --git a/ChangeLog b/ChangeLog
@@ -1,5 +1,11 @@
 # ChangeLog
 
+## v2.6.0 (2018-01-05):
+
+* Further optimized MKL backend performance for SSD inference
+* Updated MKLML to version 20171227
+* Enabled neon install with MKLML on Mac OSX
+
 ## v2.5.0 (2017-12-21):
 
 * Optimized SSD MKL backend performance (~3X boost version over version)

diff --git a/README.md b/README.md
@@ -42,7 +42,7 @@ From version 2.4.0, we re-enabled pip install. Neon can be installed using packa
     pip install nervananeon
 ```
 
-It is noted that [aeon](https://aeon.nervanasys.com/index.html/getting_started.html) needs to be installed separately. The latest release v2.5.0 uses aeon v1.3.0.
+It is noted that [aeon](https://aeon.nervanasys.com/index.html/getting_started.html) needs to be installed separately. The latest release v2.6.0 uses aeon v1.3.0.
 
 **Warning**
 

diff --git a/doc/source/index.rst b/doc/source/index.rst
@@ -36,13 +36,9 @@ Features include:
 
 New features in this release:
 
-* Optimized SSD MKL backend performance (~3X boost version over version)
-* Bumped aeon version to v1.3.0
-* Fixed inference performance issue of MKL batchnorm
-* Fixed batch prediction issue for gpu backend
-* Enabled subset_pct for MNIST_DCGAN example
-* Updated "make clean" to clean up mkl artifacts
-* Added dockerfile for IA mkl
+* Further optimized MKL backend performance for SSD inference
+* Updated MKLML to version 20171227
+* Enabled neon install with MKLML on Mac OSX
 * See more in the `change log`_.
 
 We use neon internally at Intel to solve our `customers' problems`_

diff --git a/doc/source/installation.rst b/doc/source/installation.rst
@@ -76,7 +76,7 @@ setup neon in this manner, run the following commands:
     git clone https://github.com/NervanaSystems/neon.git
     cd neon; git checkout latest; make
 
-The above checks out the latest stable release (e.g. a tagged release version v2.5.0) and build neon.
+The above checks out the latest stable release (e.g. a tagged release version v2.6.0) and build neon.
 Alternatively, you can check out and build the latest master branch:
 
 .. code-block:: bash
@@ -168,7 +168,7 @@ Neon v2.4.0 and after is pip installable via pypi with package name nervananeon.
 
     pip install nervananeon
 
-It is noted `aeon <https://aeon.nervanasys.com/index.html/getting_started.html>`__ needs to be installed separately. The latest release v2.5.0 uses aeon v1.3.0.
+It is noted `aeon <https://aeon.nervanasys.com/index.html/getting_started.html>`__ needs to be installed separately. The latest release v2.6.0 uses aeon v1.3.0.
 
 Anaconda install
 ~~~~~~~~~~~~~~~~

diff --git a/doc/source/previous_versions.rst b/doc/source/previous_versions.rst
@@ -16,6 +16,19 @@
 
 Previous Versions
 =================
+neon v2.5.0
+-----------
+
+|Docs250|_
+
+* Optimized SSD MKL backend performance (~3X boost version over version)
+* Bumped aeon version to v1.3.0
+* Fixed inference performance issue of MKL batchnorm
+* Fixed batch prediction issue for gpu backend
+* Enabled subset_pct for MNIST_DCGAN example
+* Updated "make clean" to clean up mkl artifacts
+* Added dockerfile for IA mkl
+
 neon v2.4.0
 -----------
 
@@ -498,6 +511,7 @@ neon v0.8.1
 
 Initial public release of neon.
 
+.. |Docs250| replace:: Docs
 .. |Docs240| replace:: Docs
 .. |Docs230| replace:: Docs
 .. |Docs220| replace:: Docs
@@ -528,6 +542,7 @@ Initial public release of neon.
 .. |Docs9| replace:: Docs
 .. |Docs8| replace:: Docs
 .. _cudanet: https://github.com/NervanaSystems/cuda-convnet2
+.. _Docs250: http://neon.nervanasys.com/docs/2.5.0
 .. _Docs240: http://neon.nervanasys.com/docs/2.4.0
 .. _Docs230: http://neon.nervanasys.com/docs/2.3.0
 .. _Docs220: http://neon.nervanasys.com/docs/2.2.0

diff --git a/setup.py b/setup.py
@@ -18,7 +18,7 @@
 import subprocess
 
 # Define version information
-VERSION = '2.5.0'
+VERSION = '2.6.0'
 FULLVERSION = VERSION
 write_version = True