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bump version to 1.5.1 (#16072)
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R-package/DESCRIPTION

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Package: mxnet
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Type: Package
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Title: MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems
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Version: 1.5.0
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Version: 1.5.1
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Date: 2017-06-27
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Author: Tianqi Chen, Qiang Kou, Tong He, Anirudh Acharya <https://github.com/anirudhacharya>
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Maintainer: Qiang Kou <[email protected]>

contrib/clojure-package/examples/bert/project.clj

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;;; so if you run into trouble please delete the `lein-juptyter` plugin
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[lein-jupyter "0.1.16" :exclusions [org.clojure/tools.nrepl org.clojure/clojure org.codehaus.plexus/plexus-utils org.clojure/tools.reader]]]
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:dependencies [[org.clojure/clojure "1.9.0"]
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[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]
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[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.1-SNAPSHOT"]
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[cheshire "5.8.1"]
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[clojure-csv/clojure-csv "2.0.1"]]
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:pedantic? :skip

contrib/clojure-package/examples/captcha/project.clj

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:description "Captcha recognition via multi-label classification"
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:plugins [[lein-cljfmt "0.5.7"]]
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:dependencies [[org.clojure/clojure "1.9.0"]
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[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]]
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[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.1-SNAPSHOT"]]
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:main ^:skip-aot captcha.train-ocr
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:profiles {:train {:main captcha.train-ocr}
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:infer {:main captcha.infer-ocr}

contrib/clojure-package/examples/cnn-text-classification/project.clj

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:description "CNN text classification with MXNet"
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:plugins [[lein-cljfmt "0.5.7"]]
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:dependencies [[org.clojure/clojure "1.9.0"]
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[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]]
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[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.1-SNAPSHOT"]]
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:pedantic? :skip
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:main cnn-text-classification.classifier)

contrib/clojure-package/examples/gan/project.clj

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:plugins [[lein-cljfmt "0.5.7"]]
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:repositories [["vendredi" {:url "https://repository.hellonico.info/repository/hellonico/"}]]
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:dependencies [[org.clojure/clojure "1.9.0"]
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[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]
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[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.1-SNAPSHOT"]
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[origami "4.0.0-3"]
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]
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:main gan.gan-mnist)
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:main gan.gan-mnist)

contrib/clojure-package/examples/imclassification/project.clj

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:description "Clojure examples for image classification"
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:plugins [[lein-cljfmt "0.5.7"]]
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:dependencies [[org.clojure/clojure "1.9.0"]
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[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]]
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[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.1-SNAPSHOT"]]
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:pedantic? :skip
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:main imclassification.train-mnist)

contrib/clojure-package/examples/infer/imageclassifier/project.clj

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:plugins [[lein-cljfmt "0.5.7"]]
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:dependencies [[org.clojure/clojure "1.9.0"]
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[org.clojure/tools.cli "0.4.1"]
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[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]]
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[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.1-SNAPSHOT"]]
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:main ^:skip-aot infer.imageclassifier-example
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:profiles {:uberjar {:aot :all}})

contrib/clojure-package/examples/infer/objectdetector/project.clj

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:aliases {"run-detector" ["run" "--" "-m" "models/resnet50_ssd/resnet50_ssd_model" "-i" "images/dog.jpg" "-d" "images/"]}
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:dependencies [[org.clojure/clojure "1.9.0"]
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[org.clojure/tools.cli "0.4.1"]
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[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]]
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[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.1-SNAPSHOT"]]
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:main ^:skip-aot infer.objectdetector-example
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:profiles {:uberjar {:aot :all}})

contrib/clojure-package/examples/infer/predictor/project.clj

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:plugins [[lein-cljfmt "0.5.7"]]
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:dependencies [[org.clojure/clojure "1.9.0"]
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[org.clojure/tools.cli "0.4.1"]
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[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]]
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[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.1-SNAPSHOT"]]
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:main ^:skip-aot infer.predictor-example
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:profiles {:uberjar {:aot :all}})

contrib/clojure-package/examples/module/project.clj

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:description "Clojure examples for module"
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:plugins [[lein-cljfmt "0.5.7"]]
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:dependencies [[org.clojure/clojure "1.9.0"]
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[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]]
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[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.1-SNAPSHOT"]]
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:pedantic? :skip
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:main mnist-mlp)
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contrib/clojure-package/examples/multi-label/project.clj

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:description "Example of multi-label classification"
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:plugins [[lein-cljfmt "0.5.7"]]
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:dependencies [[org.clojure/clojure "1.9.0"]
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[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]]
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[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.1-SNAPSHOT"]]
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:main multi-label.core)

contrib/clojure-package/examples/neural-style/project.clj

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:plugins [[lein-cljfmt "0.5.7"]]
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:repositories [["vendredi" {:url "https://repository.hellonico.info/repository/hellonico/"}]]
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:dependencies [[org.clojure/clojure "1.9.0"]
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[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]
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[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.1-SNAPSHOT"]
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[origami "4.0.0-3"]]
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:main neural-style.core)
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:main neural-style.core)

contrib/clojure-package/examples/pre-trained-models/project.clj

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:repositories [["vendredi" {:url "https://repository.hellonico.info/repository/hellonico/"}]]
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:aliases {"predict-image" ["run" "-m" "pre-trained-models.predict-image" ]}
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:dependencies [[org.clojure/clojure "1.9.0"]
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[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]
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[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.1-SNAPSHOT"]
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[origami "4.0.0-3"]]
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:main pre-trained-models.fine-tune)

contrib/clojure-package/examples/profiler/project.clj

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(defproject profiler "0.1.0-SNAPSHOT"
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:plugins [[lein-cljfmt "0.5.7"]]
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:dependencies [[org.clojure/clojure "1.9.0"]
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[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]]
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[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.1-SNAPSHOT"]]
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:main profiler.core)

contrib/clojure-package/examples/rnn/project.clj

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:description "RNN example"
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:plugins [[lein-cljfmt "0.5.7"]]
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:dependencies [[org.clojure/clojure "1.9.0"]
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[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]]
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[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.1-SNAPSHOT"]]
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:main rnn.train-char-rnn)

contrib/clojure-package/examples/tutorial/project.clj

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:description "MXNET tutorials"
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:plugins [[lein-cljfmt "0.5.7"]]
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:dependencies [[org.clojure/clojure "1.9.0"]
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[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]
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[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.1-SNAPSHOT"]
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;; Uncomment the one appropriate for your machine & configuration:
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#_[org.apache.mxnet.contrib.clojure/clojure-mxnet-linux-cpu "1.4.0"]

contrib/clojure-package/examples/visualization/project.clj

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:description "Visualization example"
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:plugins [[lein-cljfmt "0.5.7"]]
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:dependencies [[org.clojure/clojure "1.9.0"]
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[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"]]
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[org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.1-SNAPSHOT"]]
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:main visualization.core)

contrib/clojure-package/project.clj

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;; limitations under the License.
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;;
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(defproject org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.0-SNAPSHOT"
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(defproject org.apache.mxnet.contrib.clojure/clojure-mxnet "1.5.1-SNAPSHOT"
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:description "Clojure package for MXNet"
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:url "https://github.com/apache/incubator-mxnet"
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:license {:name "Apache License"

contrib/clojure-package/scripts/update_versions.sh

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# Run this from the main Clojure project directory with 2 arguments
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# old-version and new-version
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# Ex: scripts/update_version 1.5.0-SNAPSHOT 1.5.0-SNAPSHOT
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# Ex: scripts/update_version 1.5.1-SNAPSHOT 1.5.1-SNAPSHOT
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set -evx
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echo "Replacing $2 with $2 in the directory $PWD "

docs/tutorials/scala/mxnet_scala_on_intellij.md

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<groupId>org.apache.mxnet</groupId>
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<artifactId>mxnet-core_${scala.version}-${platform}-sources</artifactId>
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<scope>system</scope>
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<systemPath>/PathToMXNetSource/incubator-mxnet/scala-package/assembly/osx-x86_64-cpu/target/mxnet-full_${scala.version}-osx-x86_64-cpu-1.5.0-SNAPSHOT-sources.jar</systemPath>
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<systemPath>/PathToMXNetSource/incubator-mxnet/scala-package/assembly/osx-x86_64-cpu/target/mxnet-full_${scala.version}-osx-x86_64-cpu-1.5.1-SNAPSHOT-sources.jar</systemPath>
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</dependency>
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<dependency>
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<groupId>org.apache.mxnet</groupId>
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<artifactId>mxnet-full_${scala.version}-${platform}</artifactId>
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<scope>system</scope>
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<systemPath>/PathToMXNetSource/incubator-mxnet/scala-package/assembly/osx-x86_64-cpu/target/mxnet-full_${scala.version}-osx-x86_64-cpu-1.5.0-SNAPSHOT.jar</systemPath>
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<systemPath>/PathToMXNetSource/incubator-mxnet/scala-package/assembly/osx-x86_64-cpu/target/mxnet-full_${scala.version}-osx-x86_64-cpu-1.5.1-SNAPSHOT.jar</systemPath>
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</dependency>
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```
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include/mxnet/base.h

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/*! \brief minor version */
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#define MXNET_MINOR 5
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/*! \brief patch version */
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#define MXNET_PATCH 0
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#define MXNET_PATCH 1
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/*! \brief mxnet version */
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#define MXNET_VERSION (MXNET_MAJOR*10000 + MXNET_MINOR*100 + MXNET_PATCH)
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/*! \brief helper for making version number */

julia/Project.toml

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name = "MXNet"
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uuid = "a7949054-b901-59c6-b8e3-7238c29bf7f0"
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authors = ["Chiyuan Zhang <[email protected]>", "Valentin Churavy <[email protected]>", "Iblis Lin <[email protected]>"]
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version = "1.5.0"
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version = "1.5.1"
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[deps]
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BinDeps = "9e28174c-4ba2-5203-b857-d8d62c4213ee"

python/mxnet/libinfo.py

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# current version
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__version__ = "1.5.0"
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__version__ = "1.5.1"

scala-package/README.md

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<artifactId>mxnet-full_2.11-linux-x86_64-gpu</artifactId>
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<version>[1.5.0-SNAPSHOT,)</version>
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<version>[1.5.1-SNAPSHOT,)</version>
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</dependency>
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```
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<dependency>
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<groupId>org.apache.mxnet</groupId>
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<artifactId>mxnet-full_2.11-linux-x86_64-cpu</artifactId>
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<version>[1.5.0-SNAPSHOT,)</version>
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<version>[1.5.1-SNAPSHOT,)</version>
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</dependency>
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```
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<artifactId>mxnet-full_2.11-osx-x86_64-cpu</artifactId>
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<version>[1.5.0-SNAPSHOT,)</version>
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<version>[1.5.1-SNAPSHOT,)</version>
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**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.
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**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.
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Build From Source
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-----------------
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<artifactId>mxnet-full_2.11-INTERNAL</artifactId>
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<version>1.5.0</version>
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<version>1.5.1</version>
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<scope>system</scope>
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<systemPath>path_to_jar/mxnet-full_2.11-INTERNAL.jar</systemPath>
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scala-package/mxnet-demo/java-demo/README.md

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Is there any other version available?
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You can find nightly release version from [here](https://repository.apache.org/#nexus-search;gav~org.apache.mxnet~~1.5.0-SNAPSHOT~~).
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You can find nightly release version from [here](https://repository.apache.org/#nexus-search;gav~org.apache.mxnet~~1.5.1-SNAPSHOT~~).
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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.

scala-package/mxnet-demo/java-demo/pom.xml

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<properties>
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<maven.compiler.source>1.8</maven.compiler.source>
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<maven.compiler.target>1.8</maven.compiler.target>
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<mxnet.version>[1.5.0-SNAPSHOT, )</mxnet.version>
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<mxnet.version>[1.5.1-SNAPSHOT, )</mxnet.version>
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</repository>
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<properties>
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<mxnet.version>[1.5.0-SNAPSHOT, )</mxnet.version>
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<mxnet.version>[1.5.1-SNAPSHOT, )</mxnet.version>
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</project>
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</project>

scala-package/mxnet-demo/scala-demo/pom.xml

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</repository>
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<properties>
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<mxnet.version>[1.5.0-SNAPSHOT, )</mxnet.version>
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<mxnet.version>[1.5.1-SNAPSHOT, )</mxnet.version>
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scala-package/pom.xml

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<scala.version>2.11.8</scala.version>
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<build.platform/>
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<scala.binary.version>2.11</scala.binary.version>
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<base.revision>1.5.0</base.revision>
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<base.revision>1.5.1</base.revision>
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<build.platform />
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<cxx>g++</cxx>
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<dollar>$</dollar>

snapcraft.yaml

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# under the License.
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name: mxnet
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version: '1.5.0'
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version: '1.5.1'
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summary: MXNet is a deep learning framework designed for efficiency and flexibility.
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description: |
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MXNet is a deep learning framework designed for both efficiency and

tests/nightly/model_backwards_compatibility_check/train_mxnet_legacy_models.sh

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## This list is sorted in descending order chronologically.
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## Sample output for the below git tag command is : 1.2.0 utils 1.1.0 1.0.0 0.12.1
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## so from this sample, we will pick up all the versions matching with the current latest version
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## Now while performing inference the latest version could be 1.4.0, which will help in validating models trained
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## on 1.1.0 and 1.2.0 by loading them on the latest version (1.4.0)
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## Now while performing inference the latest version could be 1.5.1, which will help in validating models trained
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## on 1.1.0 and 1.2.0 by loading them on the latest version (1.5.1)
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## Over a period of time, the model repository will grow since with every new release we
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## upload models trained on newer versions as well through this script
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previous_versions=($(git tag --sort=-creatordate | grep --invert-match rc))

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