update for v2.5.0 (#1121)

NervanaSystems · Dec 21, 2017 · 6577b78 · 6577b78
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diff --git a/ChangeLog b/ChangeLog
@@ -1,5 +1,15 @@
 # ChangeLog
 
+## v2.5.0 (2017-12-21):
+
+* 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
+
 ## v2.4.0 (2017-11-27):
 
 * Enabled pip install through pypi

diff --git a/README.md b/README.md
@@ -1,6 +1,6 @@
 # neon
 
-[neon](https://github.com/NervanaSystems/neon) is Intel Nervana's reference deep learning framework committed to [best performance](https://github.com/soumith/convnet-benchmarks) on all hardware. Designed for ease-of-use and extensibility.
+[neon](https://github.com/NervanaSystems/neon) is Intel's reference deep learning framework committed to [best performance](https://github.com/soumith/convnet-benchmarks) on all hardware. Designed for ease-of-use and extensibility.
 
 * [Tutorials](http://neon.nervanasys.com/docs/latest/tutorials.html) and [iPython notebooks](https://github.com/NervanaSystems/meetup) to get users started with using neon for deep learning.
 * Support for commonly used layers: convolution, RNN, LSTM, GRU, BatchNorm, and more.
@@ -34,13 +34,15 @@ neon (conda users see the [guide](http://neon.nervanasys.com/docs/latest/install
 
 Starting after neon v2.2.0, the master branch of neon will be updated weekly with work-in-progress toward the next release. Check out a release tag (e.g., "git checkout v2.2.0") for a stable release. Or simply check out the "latest" release tag to get the latest stable release (i.e., "git checkout latest")
 
+* [Install via pypi](https://pypi.python.org/pypi/nervananeon)
+
 From version 2.4.0, we re-enabled pip install. Neon can be installed using package name nervananeon. 
 
 ```bash
     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 v2.4.0 uses aeon v1.2.0.
+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.
 
 **Warning**
 

diff --git a/doc/source/index.rst b/doc/source/index.rst
@@ -36,30 +36,29 @@ Features include:
 
 New features in this release:
 
-* Enabled pip install through pypi
-* Updated MKLML to version 20171007 with up to 3X performance increase
-* Updated resnet model to optimize performance with MKLML 20171007
-* Updated Alexnet weight file and fixed bug for deep dream
-* Fixed faster-rcnn inference model loading issue
-* Added data_loading time measurement and enabled GAN networks benchmarking
-* Updated Aeon version to 1.2.0
-* Enabled neon build with mklEngine on Windows systems
+* 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
 * See more in the `change log`_.
 
-We use neon internally at Intel Nervana to solve our `customers' problems`_
+We use neon internally at Intel to solve our `customers' problems`_
 in many domains. Consider joining us. We are hiring across several
 roles. Apply here_!
 
 
 .. |(TM)| unicode:: U+2122
    :ltrim:
-.. _nervana: http://nervanasys.com
+.. _nervana: http://www.intelnervana.com
 .. |neo| replace:: neon
 .. _neo: https://github.com/nervanasystems/neon
 .. _model zoo: https://github.com/NervanaSystems/ModelZoo
 .. _state-of-the-art: https://github.com/soumith/convnet-benchmarks
 .. _customers' problems: http://www.nervanasys.com/solutions
-.. _here: http://www.nervanasys.com/careers
+.. _here: https://www.intelnervana.com/careers/
 .. _highest performance: https://github.com/soumith/convnet-benchmarks
 .. _change log: https://github.com/NervanaSystems/neon/blob/master/ChangeLog
 

diff --git a/doc/source/installation.rst b/doc/source/installation.rst
@@ -63,14 +63,6 @@ Or on Mac OS X:
 Installation
 ~~~~~~~~~~~~
 
-Neon v2.4.0 and after is pip installable through pypi with package name nervananeon.
-
-.. code-block:: bash
-
-    pip install nervananeon
-
-It is noted `aeon <https://aeon.nervanasys.com/index.html/getting_started.html>`__ needs to be installed separately. The latest release v2.4.0 uses aeon v1.2.0.
-
 We recommend installing neon within a `virtual
 environment <http://docs.python-guide.org/en/latest/dev/virtualenvs/>`__
 to ensure a self-contained environment. To install neon within an
@@ -84,7 +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 v2.4.0) and build neon.
+The above checks out the latest stable release (e.g. a tagged release version v2.5.0) and build neon.
 Alternatively, you can check out and build the latest master branch:
 
 .. code-block:: bash
@@ -167,6 +159,17 @@ To install neon in a previously existing virtual environment, first activate
 that environment, then run ``make sysinstall``. Neon will install the
 dependencies in your virtual environment's python folder.
 
+Pip install
+~~~~~~~~~~~~~~~~
+
+Neon v2.4.0 and after is pip installable via pypi with package name nervananeon.
+
+.. code-block:: bash
+
+    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.
+
 Anaconda install
 ~~~~~~~~~~~~~~~~
 
@@ -200,10 +203,10 @@ Docker
 
 If you would prefer having a containerized installation of neon and its
 dependencies, the open source community has contributed the following
-Docker images (note that these are not supported/maintained by Intel Nervana):
+Docker images:
 
 -  `neon (CPU only) <https://hub.docker.com/r/kaixhin/neon/>`__
--  `neon (MKL) <https://hub.docker.com/r/aminaka/mkl-neon/>`__
+-  `neon (MKL) <https://hub.docker.com/r/nervananeon/neon-mkl/>`__
 -  `neon (GPU) <https://hub.docker.com/r/kaixhin/cuda-neon/>`__
 -  `neon (CPU with Jupyter Notebook) <https://hub.docker.com/r/sofianhw/docker-neon-ipython/>`__
 

diff --git a/doc/source/previous_versions.rst b/doc/source/previous_versions.rst
@@ -16,6 +16,20 @@
 
 Previous Versions
 =================
+neon v2.4.0
+-----------
+
+|Docs240|_
+
+* Enabled pip install through pypi
+* Updated MKLML to version 20171007 with performance improve of ~3X for mnist datalayer/nondatalayer and ~1.6X for DCGAN/WGAN datalayer
+* Updated resnet model to optimize performance with MKLML 20171007
+* Updated Alexnet weight file and fixed bug for deep dream
+* Fixed faster-rcnn inference model loading issue
+* Added data_loading time measurement and enabled GAN networks benchmarking
+* Updated to Aeon version 1.2.0
+* Enabled neon build with mklEngine on Windows systems
+
 neon v2.3.0
 -----------
 
@@ -484,6 +498,7 @@ neon v0.8.1
 
 Initial public release of neon.
 
+.. |Docs240| replace:: Docs
 .. |Docs230| replace:: Docs
 .. |Docs220| replace:: Docs
 .. |Docs200| replace:: Docs
@@ -513,6 +528,7 @@ Initial public release of neon.
 .. |Docs9| replace:: Docs
 .. |Docs8| replace:: Docs
 .. _cudanet: https://github.com/NervanaSystems/cuda-convnet2
+.. _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
 .. _Docs200: http://neon.nervanasys.com/docs/2.0.0

diff --git a/setup.py b/setup.py
@@ -18,7 +18,7 @@
 import subprocess
 
 # Define version information
-VERSION = '2.4.0'
+VERSION = '2.5.0'
 FULLVERSION = VERSION
 write_version = True
 
@@ -96,9 +96,9 @@
 
 setup(name='nervananeon',
       version=VERSION,
-      description="Intel Nervana's deep learning framework",
+      description="Intel's deep learning framework",
       long_description=readme_file,
-      author='Intel Nervana Systems',
+      author='Intel Deep Learning System',
       author_email='intelnervana@intel.com',
       url='http://www.intelnervana.com',
       license='License :: OSI Approved :: Apache Software License',