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bump version to 1.5.1 (#16072)
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TaoLv authored Sep 4, 2019
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2 changes: 1 addition & 1 deletion R-package/DESCRIPTION
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Package: mxnet
Type: Package
Title: MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems
Version: 1.5.0
Version: 1.5.1
Date: 2017-06-27
Author: Tianqi Chen, Qiang Kou, Tong He, Anirudh Acharya <https://github.com/anirudhacharya>
Maintainer: Qiang Kou <[email protected]>
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2 changes: 1 addition & 1 deletion contrib/clojure-package/examples/bert/project.clj
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Expand Up @@ -23,7 +23,7 @@
;;; so if you run into trouble please delete the `lein-juptyter` plugin
[lein-jupyter "0.1.16" :exclusions [org.clojure/tools.nrepl org.clojure/clojure org.codehaus.plexus/plexus-utils org.clojure/tools.reader]]]
:dependencies [[org.clojure/clojure "1.9.0"]
[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]
[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.1-SNAPSHOT"]
[cheshire "5.8.1"]
[clojure-csv/clojure-csv "2.0.1"]]
:pedantic? :skip
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2 changes: 1 addition & 1 deletion contrib/clojure-package/examples/captcha/project.clj
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:description "Captcha recognition via multi-label classification"
:plugins [[lein-cljfmt "0.5.7"]]
:dependencies [[org.clojure/clojure "1.9.0"]
[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]]
[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.1-SNAPSHOT"]]
:main ^:skip-aot captcha.train-ocr
:profiles {:train {:main captcha.train-ocr}
:infer {:main captcha.infer-ocr}
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:description "CNN text classification with MXNet"
:plugins [[lein-cljfmt "0.5.7"]]
:dependencies [[org.clojure/clojure "1.9.0"]
[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]]
[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.1-SNAPSHOT"]]
:pedantic? :skip
:main cnn-text-classification.classifier)
4 changes: 2 additions & 2 deletions contrib/clojure-package/examples/gan/project.clj
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:plugins [[lein-cljfmt "0.5.7"]]
:repositories [["vendredi" {:url "https://repository.hellonico.info/repository/hellonico/"}]]
:dependencies [[org.clojure/clojure "1.9.0"]
[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]
[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.1-SNAPSHOT"]
[origami "4.0.0-3"]
]
:main gan.gan-mnist)
:main gan.gan-mnist)
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:description "Clojure examples for image classification"
:plugins [[lein-cljfmt "0.5.7"]]
:dependencies [[org.clojure/clojure "1.9.0"]
[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]]
[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.1-SNAPSHOT"]]
:pedantic? :skip
:main imclassification.train-mnist)
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:plugins [[lein-cljfmt "0.5.7"]]
:dependencies [[org.clojure/clojure "1.9.0"]
[org.clojure/tools.cli "0.4.1"]
[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]]
[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.1-SNAPSHOT"]]
:main ^:skip-aot infer.imageclassifier-example
:profiles {:uberjar {:aot :all}})
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:aliases {"run-detector" ["run" "--" "-m" "models/resnet50_ssd/resnet50_ssd_model" "-i" "images/dog.jpg" "-d" "images/"]}
:dependencies [[org.clojure/clojure "1.9.0"]
[org.clojure/tools.cli "0.4.1"]
[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]]
[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.1-SNAPSHOT"]]
:main ^:skip-aot infer.objectdetector-example
:profiles {:uberjar {:aot :all}})
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:plugins [[lein-cljfmt "0.5.7"]]
:dependencies [[org.clojure/clojure "1.9.0"]
[org.clojure/tools.cli "0.4.1"]
[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]]
[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.1-SNAPSHOT"]]
:main ^:skip-aot infer.predictor-example
:profiles {:uberjar {:aot :all}})
2 changes: 1 addition & 1 deletion contrib/clojure-package/examples/module/project.clj
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:description "Clojure examples for module"
:plugins [[lein-cljfmt "0.5.7"]]
:dependencies [[org.clojure/clojure "1.9.0"]
[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]]
[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.1-SNAPSHOT"]]
:pedantic? :skip
:main mnist-mlp)

2 changes: 1 addition & 1 deletion contrib/clojure-package/examples/multi-label/project.clj
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:description "Example of multi-label classification"
:plugins [[lein-cljfmt "0.5.7"]]
:dependencies [[org.clojure/clojure "1.9.0"]
[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]]
[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.1-SNAPSHOT"]]
:main multi-label.core)
4 changes: 2 additions & 2 deletions contrib/clojure-package/examples/neural-style/project.clj
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:plugins [[lein-cljfmt "0.5.7"]]
:repositories [["vendredi" {:url "https://repository.hellonico.info/repository/hellonico/"}]]
:dependencies [[org.clojure/clojure "1.9.0"]
[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]
[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.1-SNAPSHOT"]
[origami "4.0.0-3"]]
:main neural-style.core)
:main neural-style.core)
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:repositories [["vendredi" {:url "https://repository.hellonico.info/repository/hellonico/"}]]
:aliases {"predict-image" ["run" "-m" "pre-trained-models.predict-image" ]}
:dependencies [[org.clojure/clojure "1.9.0"]
[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]
[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.1-SNAPSHOT"]
[origami "4.0.0-3"]]
:main pre-trained-models.fine-tune)
2 changes: 1 addition & 1 deletion contrib/clojure-package/examples/profiler/project.clj
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(defproject profiler "0.1.0-SNAPSHOT"
:plugins [[lein-cljfmt "0.5.7"]]
:dependencies [[org.clojure/clojure "1.9.0"]
[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]]
[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.1-SNAPSHOT"]]
:main profiler.core)
2 changes: 1 addition & 1 deletion contrib/clojure-package/examples/rnn/project.clj
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:description "RNN example"
:plugins [[lein-cljfmt "0.5.7"]]
:dependencies [[org.clojure/clojure "1.9.0"]
[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]]
[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.1-SNAPSHOT"]]
:main rnn.train-char-rnn)
2 changes: 1 addition & 1 deletion contrib/clojure-package/examples/tutorial/project.clj
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:description "MXNET tutorials"
:plugins [[lein-cljfmt "0.5.7"]]
:dependencies [[org.clojure/clojure "1.9.0"]
[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]
[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.1-SNAPSHOT"]

;; Uncomment the one appropriate for your machine & configuration:
#_[org.apache.mxnet.contrib.clojure/clojure-mxnet-linux-cpu "1.4.0"]
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2 changes: 1 addition & 1 deletion contrib/clojure-package/examples/visualization/project.clj
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:description "Visualization example"
:plugins [[lein-cljfmt "0.5.7"]]
:dependencies [[org.clojure/clojure "1.9.0"]
[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]]
[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.1-SNAPSHOT"]]
:main visualization.core)
2 changes: 1 addition & 1 deletion contrib/clojure-package/project.clj
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;; limitations under the License.
;;

(defproject org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"
(defproject org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.1-SNAPSHOT"
:description "Clojure package for MXNet"
:url "https://github.com/apache/incubator-mxnet"
:license {:name "Apache License"
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2 changes: 1 addition & 1 deletion contrib/clojure-package/scripts/update_versions.sh
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# Run this from the main Clojure project directory with 2 arguments
# old-version and new-version
# Ex: scripts/update_version 1.5.0-SNAPSHOT 1.5.0-SNAPSHOT
# Ex: scripts/update_version 1.5.1-SNAPSHOT 1.5.1-SNAPSHOT

set -evx
echo "Replacing $2 with $2 in the directory $PWD "
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4 changes: 2 additions & 2 deletions docs/tutorials/scala/mxnet_scala_on_intellij.md
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Expand Up @@ -403,14 +403,14 @@ If you chose to "Build from Source" when following the [install instructions](ht
<groupId>org.apache.mxnet</groupId>
<artifactId>mxnet-core_${scala.version}-${platform}-sources</artifactId>
<scope>system</scope>
<systemPath>/PathToMXNetSource/incubator-mxnet/scala-package/assembly/osx-x86_64-cpu/target/mxnet-full_${scala.version}-osx-x86_64-cpu-1.5.0-SNAPSHOT-sources.jar</systemPath>
<systemPath>/PathToMXNetSource/incubator-mxnet/scala-package/assembly/osx-x86_64-cpu/target/mxnet-full_${scala.version}-osx-x86_64-cpu-1.5.1-SNAPSHOT-sources.jar</systemPath>
</dependency>
<dependency>
<groupId>org.apache.mxnet</groupId>
<artifactId>mxnet-full_${scala.version}-${platform}</artifactId>
<scope>system</scope>
<systemPath>/PathToMXNetSource/incubator-mxnet/scala-package/assembly/osx-x86_64-cpu/target/mxnet-full_${scala.version}-osx-x86_64-cpu-1.5.0-SNAPSHOT.jar</systemPath>
<systemPath>/PathToMXNetSource/incubator-mxnet/scala-package/assembly/osx-x86_64-cpu/target/mxnet-full_${scala.version}-osx-x86_64-cpu-1.5.1-SNAPSHOT.jar</systemPath>
</dependency>
```

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2 changes: 1 addition & 1 deletion include/mxnet/base.h
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/*! \brief minor version */
#define MXNET_MINOR 5
/*! \brief patch version */
#define MXNET_PATCH 0
#define MXNET_PATCH 1
/*! \brief mxnet version */
#define MXNET_VERSION (MXNET_MAJOR*10000 + MXNET_MINOR*100 + MXNET_PATCH)
/*! \brief helper for making version number */
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2 changes: 1 addition & 1 deletion julia/Project.toml
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name = "MXNet"
uuid = "a7949054-b901-59c6-b8e3-7238c29bf7f0"
authors = ["Chiyuan Zhang <[email protected]>", "Valentin Churavy <[email protected]>", "Iblis Lin <[email protected]>"]
version = "1.5.0"
version = "1.5.1"

[deps]
BinDeps = "9e28174c-4ba2-5203-b857-d8d62c4213ee"
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2 changes: 1 addition & 1 deletion python/mxnet/libinfo.py
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Expand Up @@ -111,4 +111,4 @@ def find_include_path():


# current version
__version__ = "1.5.0"
__version__ = "1.5.1"
10 changes: 5 additions & 5 deletions scala-package/README.md
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Expand Up @@ -101,7 +101,7 @@ Also, add the dependency which corresponds to your platform to the ```dependenci
<dependency>
<groupId>org.apache.mxnet</groupId>
<artifactId>mxnet-full_2.11-linux-x86_64-gpu</artifactId>
<version>[1.5.0-SNAPSHOT,)</version>
<version>[1.5.1-SNAPSHOT,)</version>
</dependency>
```

Expand All @@ -113,7 +113,7 @@ Also, add the dependency which corresponds to your platform to the ```dependenci
<dependency>
<groupId>org.apache.mxnet</groupId>
<artifactId>mxnet-full_2.11-linux-x86_64-cpu</artifactId>
<version>[1.5.0-SNAPSHOT,)</version>
<version>[1.5.1-SNAPSHOT,)</version>
</dependency>
```

Expand All @@ -124,11 +124,11 @@ Also, add the dependency which corresponds to your platform to the ```dependenci
<dependency>
<groupId>org.apache.mxnet</groupId>
<artifactId>mxnet-full_2.11-osx-x86_64-cpu</artifactId>
<version>[1.5.0-SNAPSHOT,)</version>
<version>[1.5.1-SNAPSHOT,)</version>
</dependency>
```

**Note:** ```<version>[1.5.0-SNAPSHOT,)</version>``` indicates that we will fetch packages with version 1.5.0 or higher. This will always ensure that the pom.xml is able to fetch the latest and greatest jar files from Maven Snapshot repository.
**Note:** ```<version>[1.5.1-SNAPSHOT,)</version>``` indicates that we will fetch packages with version 1.5.1 or higher. This will always ensure that the pom.xml is able to fetch the latest and greatest jar files from Maven Snapshot repository.

Build From Source
-----------------
Expand Down Expand Up @@ -186,7 +186,7 @@ Adding the following configuration in `pom.xml`
<dependency>
<groupId>org.apache.mxnet</groupId>
<artifactId>mxnet-full_2.11-INTERNAL</artifactId>
<version>1.5.0</version>
<version>1.5.1</version>
<scope>system</scope>
<systemPath>path_to_jar/mxnet-full_2.11-INTERNAL.jar</systemPath>
</dependency>
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2 changes: 1 addition & 1 deletion scala-package/mxnet-demo/java-demo/README.md
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Expand Up @@ -120,5 +120,5 @@ sudo apt install libopencv-imgcodecs3.4

Is there any other version available?

You can find nightly release version from [here](https://repository.apache.org/#nexus-search;gav~org.apache.mxnet~~1.5.0-SNAPSHOT~~).
You can find nightly release version from [here](https://repository.apache.org/#nexus-search;gav~org.apache.mxnet~~1.5.1-SNAPSHOT~~).
Please keep the same version in the pom file or [other versions in here](https://repository.apache.org/#nexus-search;gav~org.apache.mxnet~~~~) to run this demo.
6 changes: 3 additions & 3 deletions scala-package/mxnet-demo/java-demo/pom.xml
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Expand Up @@ -27,7 +27,7 @@
<properties>
<maven.compiler.source>1.8</maven.compiler.source>
<maven.compiler.target>1.8</maven.compiler.target>
<mxnet.version>[1.5.0-SNAPSHOT, )</mxnet.version>
<mxnet.version>[1.5.1-SNAPSHOT, )</mxnet.version>
<mxnet.scalaprofile>2.11</mxnet.scalaprofile>
</properties>

Expand All @@ -41,7 +41,7 @@
</repository>
</repositories>
<properties>
<mxnet.version>[1.5.0-SNAPSHOT, )</mxnet.version>
<mxnet.version>[1.5.1-SNAPSHOT, )</mxnet.version>
</properties>
</profile>
<profile>
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</plugins>
</build>

</project>
</project>
2 changes: 1 addition & 1 deletion scala-package/mxnet-demo/scala-demo/pom.xml
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Expand Up @@ -35,7 +35,7 @@
</repository>
</repositories>
<properties>
<mxnet.version>[1.5.0-SNAPSHOT, )</mxnet.version>
<mxnet.version>[1.5.1-SNAPSHOT, )</mxnet.version>
</properties>
</profile>
<profile>
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2 changes: 1 addition & 1 deletion scala-package/pom.xml
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Expand Up @@ -57,7 +57,7 @@
<scala.version>2.11.8</scala.version>
<build.platform/>
<scala.binary.version>2.11</scala.binary.version>
<base.revision>1.5.0</base.revision>
<base.revision>1.5.1</base.revision>
<build.platform />
<cxx>g++</cxx>
<dollar>$</dollar>
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2 changes: 1 addition & 1 deletion snapcraft.yaml
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Expand Up @@ -16,7 +16,7 @@
# under the License.

name: mxnet
version: '1.5.0'
version: '1.5.1'
summary: MXNet is a deep learning framework designed for efficiency and flexibility.
description: |
MXNet is a deep learning framework designed for both efficiency and
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Expand Up @@ -62,8 +62,8 @@ echo `pwd`
## This list is sorted in descending order chronologically.
## Sample output for the below git tag command is : 1.2.0 utils 1.1.0 1.0.0 0.12.1
## so from this sample, we will pick up all the versions matching with the current latest version
## Now while performing inference the latest version could be 1.4.0, which will help in validating models trained
## on 1.1.0 and 1.2.0 by loading them on the latest version (1.4.0)
## Now while performing inference the latest version could be 1.5.1, which will help in validating models trained
## on 1.1.0 and 1.2.0 by loading them on the latest version (1.5.1)
## Over a period of time, the model repository will grow since with every new release we
## upload models trained on newer versions as well through this script
previous_versions=($(git tag --sort=-creatordate | grep --invert-match rc))
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