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Posted to commits@mxnet.apache.org by zh...@apache.org on 2018/08/24 22:46:53 UTC

[incubator-mxnet] branch v1.3.x updated: update announcements (#12344)

This is an automated email from the ASF dual-hosted git repository.

zhasheng pushed a commit to branch v1.3.x
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git


The following commit(s) were added to refs/heads/v1.3.x by this push:
     new 89674b7  update announcements (#12344)
89674b7 is described below

commit 89674b7d6fc7d3eccca341621e8baacfc6a586af
Author: Sheng Zha <sz...@users.noreply.github.com>
AuthorDate: Fri Aug 24 15:46:44 2018 -0700

    update announcements (#12344)
---
 NEWS.md | 22 +++++++++-------------
 1 file changed, 9 insertions(+), 13 deletions(-)

diff --git a/NEWS.md b/NEWS.md
index 925c63a..db98684 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -18,19 +18,6 @@ MXNet Change Log
   pretrained models.
 - Updated pre-trained models provide state-of-the-art performance on all resnetv1, resnetv2, and vgg16, vgg19, vgg16_bn, vgg19_bn models (#11327 #11860 #11830).
 
-### New Features - Scala API Improvements
-- Improvements to MXNet Scala API usability([#10660](https://github.com/apache/incubator-mxnet/pull/10660), [#10787](https://github.com/apache/incubator-mxnet/pull/10787), [#10991](https://github.com/apache/incubator-mxnet/pull/10991))
-- Symbol.api and NDArray.api would bring new set of functions that have complete definition for all arguments.
-- Please see this [Type safe API design document](https://cwiki.apache.org/confluence/display/MXNET/Scala+Type-safe+API+Design+Doc) for more details.
-
-### New Features - Scala examples
-- Refurnished Scala Examples with improved API, documentation and CI test coverage. ([#11753](https://github.com/apache/incubator-mxnet/pull/11753), [#11621](https://github.com/apache/incubator-mxnet/pull/11621) )
-- Now all Scala examples have:
-  - No bugs block in the middle
-  - Good Readme to start with
-  - with Type-safe API usage inside
-  - monitored in CI in each PR runs
-
 ### New Features - Clojure package (experimental)
 - MXNet now supports the Clojure programming language. The MXNet Clojure package brings flexible and efficient GPU computing and state-of-art deep learning to Clojure. It enables you to write seamless tensor/matrix computation with multiple GPUs in Clojure. It also lets you construct and customize the state-of-art deep learning models in Clojure, and apply them to tasks, such as image classification and data science challenges.([#11205](https://github.com/apache/incubator-mxnet/pull/11205))
 - Checkout examples and API documentation [here](http://mxnet.incubator.apache.org/api/clojure/index.html).
@@ -65,6 +52,14 @@ MXNet Change Log
 - This feature in MXNet now introduces runtime integration of TensorRT into MXNet, in order to accelerate inference.([#11325](https://github.com/apache/incubator-mxnet/pull/11325))
 - Currently, its in contrib package.
 
+### New Examples - Scala
+- Refurnished Scala Examples with improved API, documentation and CI test coverage. ([#11753](https://github.com/apache/incubator-mxnet/pull/11753), [#11621](https://github.com/apache/incubator-mxnet/pull/11621) )
+- Now all Scala examples have:
+  - No bugs block in the middle
+  - Good Readme to start with
+  - with Type-safe API usage inside
+  - monitored in CI in each PR runs
+
 ### Maintenance - Flaky Tests improvement effort
 - Fixed 130 flaky tests on CI. Tracked progress of the project [here](https://github.com/apache/incubator-mxnet/projects/9).
 - Add flakiness checker (#11572)
@@ -157,6 +152,7 @@ MXNet Change Log
 - Add DataDesc type for the Scala Package (#11844)
 
 ### Usability Improvements
+- Improvements to MXNet Scala API usability([#10660](https://github.com/apache/incubator-mxnet/pull/10660), [#10787](https://github.com/apache/incubator-mxnet/pull/10787), [#10991](https://github.com/apache/incubator-mxnet/pull/10991))
 - Added docs for mx.initializer.Constant (#10637)
 - Added build from souce instructions on windows (#11276)
 - Added a tutorial explaining how to use the profiler (#11274)