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Update for v2.1.0 (#917)
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Jennifer Myers committed Aug 2, 2017
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9 changes: 9 additions & 0 deletions ChangeLog
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# ChangeLog

## v2.1.0 (2017-08-02):

* Set MKL backend (-b mkl) as the default CPU backend on Linux (use -b cpu to specify original CPU backend)
* Update MKLML version 20170720 (AVX512 code paths enabled by default and conversion optimizations)
* Simplify ResNet example
* Makefiles now check for virtualenv and pkg-config (NervanaSystems/neon#383)
* Fix Deep Speech2 model on MKL backend
* Fix MKL installation for "make sysinstall"

## v2.0.0 (2017-06-27):

* Added support for MKL backend (-b mkl) on Linux, which boosts neon CPU performance significantly
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12 changes: 6 additions & 6 deletions doc/source/index.rst
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New features in this release:

* Added support for MKL backend (-b mkl) on Linux, which boosts neon CPU performance significantly
* Added WGAN model examples for LSUN and MNIST data
* Enabled WGAN and DCGAN model examples for Python3
* Added fix (using file locking) to prevent race conditions running multiple jobs on the same machine with multiple GPUs
* Added functionality to display some information about hardware, OS and model used
* Updated appdirs to 1.4.3 to be compatibile on Centos 7.3 for appliance
* Set MKL backend (-b mkl) as the default CPU backend on Linux (use -b cpu to specify original CPU backend)
* Update MKLML version 20170720 (AVX512 code paths enabled by default and conversion optimizations)
* Simplify ResNet example
* Makefiles now check for virtualenv and pkg-config (NervanaSystems/neon#383)
* Fix Deep Speech2 model on MKL backend
* Fix MKL installation for "make sysinstall"
* See more in the `change log`_.

We use neon internally at Intel Nervana to solve our `customers' problems`_
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16 changes: 16 additions & 0 deletions doc/source/previous_versions.rst
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Previous Versions
=================

neon v2.0.0
-----------

|Docs200|_

neon v2.0.0 released June 27, 2017 supporting:

* Added support for MKL backend (-b mkl) on Linux, which boosts neon CPU performance significantly
* Added WGAN model examples for LSUN and MNIST data
* Enabled WGAN and DCGAN model examples for Python3
* Added fix (using file locking) to prevent race conditions running multiple jobs on the same machine with multiple GPUs
* Added functionality to display some information about hardware, OS and model used
* Updated appdirs to 1.4.3 to be compatibile on Centos 7.3 for appliance

neon v1.9.0
-----------

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Initial public release of neon.

.. |Docs200| replace:: Docs
.. |Docs190| replace:: Docs
.. |Docs182| replace:: Docs
.. |Docs181| replace:: Docs
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.. |Docs9| replace:: Docs
.. |Docs8| replace:: Docs
.. _cudanet: https://github.com/NervanaSystems/cuda-convnet2
.. _Docs200: http://neon.nervanasys.com/docs/2.0.0
.. _Docs190: http://neon.nervanasys.com/docs/1.9.0
.. _Docs182: http://neon.nervanasys.com/docs/1.8.2
.. _Docs181: http://neon.nervanasys.com/docs/1.8.1
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2 changes: 1 addition & 1 deletion setup.py
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import subprocess

# Define version information
VERSION = '2.0.0'
VERSION = '2.1.0'
FULLVERSION = VERSION
write_version = True

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