029b84e2b7
* RL4J: Add generic update rule (#502) Signed-off-by: Alexandre Boulanger <aboulang2002@yahoo.com> * Shyrma reduce (#481) * - start working on improving of cpu legacy code for reduce ops Signed-off-by: Yurii <iuriish@yahoo.com> * - further work on improving legacy loops Signed-off-by: Yurii <iuriish@yahoo.com> * - still working on improving reduce ops Signed-off-by: Yurii <iuriish@yahoo.com> * - further work on improving reduce ops Signed-off-by: Yurii <iuriish@yahoo.com> * - testing speed run of new reduce op Signed-off-by: Yurii <iuriish@yahoo.com> * - working on improvement of default loop for reduce op Signed-off-by: Yurii <iuriish@yahoo.com> * - update signatures of stuff which calls reduce ops Signed-off-by: Yurii <iuriish@yahoo.com> * - make corrections in cuda reduce kernels Signed-off-by: Yurii <iuriish@yahoo.com> * - change loop for default case in broadcast legacy ops Signed-off-by: Yurii <iuriish@yahoo.com> * - comment some shape stuff Signed-off-by: Yurii <iuriish@yahoo.com> * - comment unnecessary prints in RNGtests Signed-off-by: Yurii <iuriish@yahoo.com> * - finish to resolve conflicts after master has been merged Signed-off-by: Yurii <iuriish@yahoo.com> * - get rid of some compilation mistakes of cuda stuff Signed-off-by: Yurii <iuriish@yahoo.com> * - minor changes Signed-off-by: Yurii <iuriish@yahoo.com> * - further search for bug causing crash on java test Signed-off-by: Yurii <iuriish@yahoo.com> * - add scalar case in reduce_ ... exec stuff Signed-off-by: Yurii <iuriish@yahoo.com> * - minor corrections in NAtiveOps.cu Signed-off-by: Yurii <iuriish@yahoo.com> * - add switch to scalar case execReduceXD functions Signed-off-by: Yurii <iuriish@yahoo.com> * - add support for vectors old shape in ConstantShapeHelper::createShapeInfoWithNoUnitiesForReduce Signed-off-by: Yurii <iuriish@yahoo.com> * - correct cuda mirrorPad Signed-off-by: Yurii <iuriish@yahoo.com> * - add support for vectors old shape in cuda createShapeInfoWithNoUnitiesForReduce Signed-off-by: Yurii <iuriish@yahoo.com> Co-authored-by: raver119 <raver119@gmail.com> * Add support for CUDA 11.0 (#492) * Add support for CUDA 11.0 * libnd4j tweaks for CUDA 11 Signed-off-by: raver119@gmail.com <raver119@gmail.com> * bindings update, again? Signed-off-by: raver119@gmail.com <raver119@gmail.com> * * Update versions of JavaCPP Presets for FFmpeg, OpenBLAS, and NumPy * update API to match CUDA 8 Signed-off-by: raver119@gmail.com <raver119@gmail.com> * * Update version of JavaCPP Presets for CPython * C++ updated for cuDNN 8.0 Signed-off-by: raver119@gmail.com <raver119@gmail.com> * one more test Signed-off-by: raver119@gmail.com <raver119@gmail.com> * one more test Signed-off-by: raver119@gmail.com <raver119@gmail.com> * one more test Signed-off-by: raver119@gmail.com <raver119@gmail.com> * 128-bit alignment for workspaces Signed-off-by: raver119@gmail.com <raver119@gmail.com> * change seed in 1 test Signed-off-by: raver119@gmail.com <raver119@gmail.com> * Fix dependecy duplication in python4j-parent pom * Fix group id for in python4j-numpy * few tests tweaked Signed-off-by: raver119@gmail.com <raver119@gmail.com> * Remove macosx-x86_64-gpu from nd4j-tests-tensorflow * few minor tweaks for IndexReduce Signed-off-by: raver119@gmail.com <raver119@gmail.com> * one test removed Signed-off-by: raver119@gmail.com <raver119@gmail.com> Co-authored-by: raver119@gmail.com <raver119@gmail.com> Co-authored-by: Serhii Shepel <9946053+sshepel@users.noreply.github.com> * RL4J: Add SyncTrainer and AgentLearnerBuilder for a few algorithms (#504) Signed-off-by: Alexandre Boulanger <aboulang2002@yahoo.com> Co-authored-by: Alexandre Boulanger <44292157+aboulang2002@users.noreply.github.com> Co-authored-by: Yurii Shyrma <iuriish@yahoo.com> Co-authored-by: raver119 <raver119@gmail.com> Co-authored-by: Serhii Shepel <9946053+sshepel@users.noreply.github.com>
434 lines
18 KiB
XML
434 lines
18 KiB
XML
<?xml version="1.0" encoding="UTF-8"?>
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<!--~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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~ Copyright (c) 2015-2018 Skymind, Inc.
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~
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~ This program and the accompanying materials are made available under the
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~ terms of the Apache License, Version 2.0 which is available at
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~ https://www.apache.org/licenses/LICENSE-2.0.
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~
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~ Unless required by applicable law or agreed to in writing, software
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~ distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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~ WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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~ License for the specific language governing permissions and limitations
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~ under the License.
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~
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~ SPDX-License-Identifier: Apache-2.0
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~-->
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<project xmlns="http://maven.apache.org/POM/4.0.0"
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xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
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xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
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<modelVersion>4.0.0</modelVersion>
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<parent>
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<groupId>org.deeplearning4j</groupId>
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<artifactId>deeplearning4j</artifactId>
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<version>1.0.0-SNAPSHOT</version>
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</parent>
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<groupId>org.nd4j</groupId>
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<artifactId>libnd4j</artifactId>
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<packaging>pom</packaging>
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<name>libnd4j</name>
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<description>The C++ engine that powers the scientific computing library ND4J - n-dimensional
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arrays for Java
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</description>
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<url>http://nd4j.org/</url>
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<developers>
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<developer>
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<id>agibsonccc</id>
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<name>Adam Gibson</name>
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<email>adam@skymind.io</email>
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</developer>
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<developer>
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<id>raver119</id>
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<name>raver119</name>
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</developer>
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<developer>
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<id>saudet</id>
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<name>Samuel Audet</name>
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</developer>
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</developers>
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<properties>
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<!-- CUDA version is linked with the artifact name so cannot move to parent pom.xml -->
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<cuda.version>11.0</cuda.version>
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<cudnn.version>8.0</cudnn.version>
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<libnd4j.build>release</libnd4j.build>
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<libnd4j.chip>cpu</libnd4j.chip>
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<libnd4j.platform>${javacpp.platform}</libnd4j.platform>
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<libnd4j.extension></libnd4j.extension>
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<libnd4j.cuda></libnd4j.cuda>
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<libnd4j.compute></libnd4j.compute>
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<libnd4j.classifier>${libnd4j.platform}</libnd4j.classifier>
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<libnd4j.buildthreads></libnd4j.buildthreads>
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<libnd4j.helper></libnd4j.helper>
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<libnd4j.buildprogram>bash</libnd4j.buildprogram>
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</properties>
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<build>
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<extensions>
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<extension>
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<groupId>org.kuali.maven.wagons</groupId>
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<artifactId>maven-s3-wagon</artifactId>
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<version>1.2.1</version>
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</extension>
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</extensions>
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<plugins>
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<!-- Infer the number of CPU cores and put it in the cpu.core.count property -->
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<plugin>
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<groupId>org.codehaus.mojo</groupId>
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<artifactId>build-helper-maven-plugin</artifactId>
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<version>${maven-build-helper-plugin.version}</version>
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<executions>
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<execution>
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<id>get-cpu-count</id>
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<goals>
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<goal>cpu-count</goal>
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</goals>
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<configuration>
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<cpuCount>cpu.core.count</cpuCount>
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</configuration>
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</execution>
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</executions>
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</plugin>
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<plugin>
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<groupId>org.bytedeco</groupId>
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<artifactId>javacpp</artifactId>
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<version>${javacpp.version}</version>
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<dependencies>
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<dependency>
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<groupId>org.bytedeco</groupId>
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<artifactId>openblas-platform</artifactId>
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<version>${openblas.version}-${javacpp-presets.version}</version>
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</dependency>
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</dependencies>
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<configuration>
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<properties>${libnd4j.platform}</properties>
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<buildResources>
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<buildResource>/${javacpp.platform.library.path}/</buildResource>
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<buildResource>/org/bytedeco/openblas/${libnd4j.platform}/</buildResource>
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</buildResources>
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<includeResources>
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<includeResource>/${javacpp.platform.library.path}/include/
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</includeResource>
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<includeResource>/org/bytedeco/openblas/${libnd4j.platform}/include/
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</includeResource>
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</includeResources>
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<linkResources>
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<linkResource>/${javacpp.platform.library.path}/</linkResource>
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<linkResource>/${javacpp.platform.library.path}/lib/</linkResource>
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<linkResource>/org/bytedeco/openblas/${libnd4j.platform}/</linkResource>
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<linkResource>/org/bytedeco/openblas/${libnd4j.platform}/lib/</linkResource>
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</linkResources>
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</configuration>
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<executions>
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<execution>
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<id>javacpp-cppbuild-validate</id>
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<phase>validate</phase>
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<goals>
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<goal>build</goal>
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</goals>
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</execution>
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<execution>
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<id>javacpp-cppbuild-compile</id>
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<phase>compile</phase>
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<goals>
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<goal>build</goal>
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</goals>
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<configuration>
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<skip>${libnd4j.cpu.compile.skip}</skip>
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<buildCommand>
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<program>${libnd4j.buildprogram}</program>
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<argument>buildnativeoperations.sh</argument>
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<argument>--build-type</argument>
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<argument>${libnd4j.build}</argument>
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<argument>--chip</argument>
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<argument>${libnd4j.chip}</argument>
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<argument>--platform</argument>
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<argument>${libnd4j.platform}</argument>
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<argument>--chip-extension</argument>
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<argument>${libnd4j.extension}</argument>
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<argument>--chip-version</argument>
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<argument>${cuda.version}</argument>
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<argument>--compute</argument>
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<argument>${libnd4j.compute}</argument>
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<argument>${libnd4j.tests}</argument>
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<argument>-j</argument>
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<argument>${libnd4j.buildthreads}</argument>
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<argument>-h</argument>
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<argument>${libnd4j.helper}</argument>
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</buildCommand>
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<workingDirectory>${project.basedir}</workingDirectory>
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</configuration>
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</execution>
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<execution>
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<id>libnd4j-test-run</id>
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<phase>test</phase>
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<goals>
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<goal>build</goal>
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</goals>
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<configuration>
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<skip>${libnd4j.test.skip}</skip>
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<workingDirectory>${basedir}/tests_cpu</workingDirectory>
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<buildCommand>
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<program>bash</program>
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<argument>run_tests.sh</argument>
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<argument>--chip</argument>
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<argument>${libnd4j.chip}</argument>
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</buildCommand>
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</configuration>
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</execution>
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</executions>
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</plugin>
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<plugin>
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<artifactId>maven-clean-plugin</artifactId>
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<version>2.6</version>
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<executions>
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<execution>
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<id>javacpp-cppbuild-clean</id>
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<phase>clean</phase>
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<goals>
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<goal>clean</goal>
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</goals>
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<configuration>
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<filesets>
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<fileset>
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<directory>blasbuild</directory>
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</fileset>
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</filesets>
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</configuration>
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</execution>
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</executions>
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</plugin>
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<plugin>
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<artifactId>maven-assembly-plugin</artifactId>
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<version>3.0.0</version>
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<configuration>
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<descriptors>
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<descriptor>assembly.xml</descriptor>
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</descriptors>
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</configuration>
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<executions>
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<execution>
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<phase>package</phase>
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<goals>
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<goal>single</goal>
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</goals>
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</execution>
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</executions>
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</plugin>
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</plugins>
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</build>
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<profiles>
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<!-- Build on windows can use sh rather than bash due to WSL clashing with msys2 -->
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<profile>
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<id>build-windows</id>
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<activation>
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<os>
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<family>Windows</family>
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</os>
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</activation>
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<properties>
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<libnd4j.buildprogram>sh</libnd4j.buildprogram>
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</properties>
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</profile>
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<!-- Default build program should be bash on non windows platforms -->
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<profile>
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<id>build-unix</id>
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<activation>
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<activeByDefault>true</activeByDefault>
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</activation>
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<properties>
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<libnd4j.buildprogram>bash</libnd4j.buildprogram>
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</properties>
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</profile>
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<!-- Use -Dlibnd4j.singlethread to use single threaded build (multi-threaded by default) -->
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<profile>
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<id>libnd4j-single-thread</id>
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<activation>
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<property>
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<name>libnd4j.singlethread</name>
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</property>
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</activation>
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<properties>
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<libnd4j.buildthreads>1</libnd4j.buildthreads>
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</properties>
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</profile>
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<profile>
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<id>libnd4-multi-thread</id>
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<activation>
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<property>
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<name>!libnd4j.singlethread</name>
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</property>
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</activation>
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<properties>
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<!-- Note: CPU core count is from build helper plugin -->
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<libnd4j.buildthreads>${cpu.core.count}</libnd4j.buildthreads>
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</properties>
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</profile>
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<profile>
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<id>chip</id>
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<activation>
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<property>
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<name>libnd4j.chip</name>
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</property>
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</activation>
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<properties>
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<libnd4j.classifier>${libnd4j.platform}-${libnd4j.chip}-${cuda.version}
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</libnd4j.classifier>
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</properties>
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</profile>
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<profile>
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<id>extension</id>
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<activation>
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<property>
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<name>libnd4j.extension</name>
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</property>
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</activation>
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<properties>
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<libnd4j.classifier>${libnd4j.platform}-${libnd4j.extension}</libnd4j.classifier>
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</properties>
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</profile>
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<profile>
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<id>cuda</id>
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<activation>
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<property>
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<name>libnd4j.cuda</name>
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</property>
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</activation>
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<properties>
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<!-- Leave libnd4j.chip and libnd4j.classifier as is to build CPU version as well. -->
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<!-- <libnd4j.chip>cuda</libnd4j.chip> -->
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<!-- <libnd4j.classifier>${libnd4j.platform}-cuda-${cuda.version}</libnd4j.classifier> -->
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</properties>
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<build>
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<plugins>
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<plugin>
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<groupId>org.bytedeco</groupId>
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<artifactId>javacpp</artifactId>
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<version>${javacpp.version}</version>
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<configuration>
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<properties>${libnd4j.platform}</properties>
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</configuration>
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<executions>
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<execution>
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<id>javacpp-cppbuild-compile-cuda</id>
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<phase>compile</phase>
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<goals>
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<goal>build</goal>
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</goals>
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<configuration>
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<skip>${libnd4j.cuda.compile.skip}</skip>
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<buildCommand>
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<program>${libnd4j.buildprogram}</program>
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<argument>buildnativeoperations.sh
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</argument>
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<argument>--build-type</argument>
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<argument>${libnd4j.build}</argument>
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<argument>--chip</argument>
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<argument>cuda</argument>
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<argument>--platform</argument>
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<argument>${libnd4j.platform}</argument>
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<argument>--chip-extension</argument>
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<argument>${libnd4j.extension}</argument>
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<argument>--chip-version</argument>
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<argument>${cuda.version}</argument>
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<argument>--compute</argument>
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<argument>${libnd4j.compute}</argument>
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<argument>${libnd4j.tests}</argument>
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<argument>-j</argument>
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<argument>${libnd4j.buildthreads}</argument>
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</buildCommand>
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<workingDirectory>${project.basedir}</workingDirectory>
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</configuration>
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</execution>
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</executions>
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</plugin>
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<plugin>
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<artifactId>maven-assembly-plugin</artifactId>
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<version>3.0.0</version>
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<executions>
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<execution>
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<id>libnd4j-package-cuda</id>
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<phase>package</phase>
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<goals>
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<goal>single</goal>
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</goals>
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<configuration>
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<descriptors>
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<descriptor>assembly-cuda.xml</descriptor>
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</descriptors>
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</configuration>
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</execution>
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</executions>
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</plugin>
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</plugins>
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</build>
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</profile>
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<profile>
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<id>clean-tests</id>
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<activation>
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<file>
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<exists>${basedir}/tests_cpu/Makefile</exists>
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</file>
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</activation>
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<build>
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<plugins>
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<plugin>
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<groupId>org.codehaus.mojo</groupId>
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<artifactId>exec-maven-plugin</artifactId>
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<version>1.6.0</version>
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<executions>
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<execution>
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<id>libnd4j-test-clean</id>
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<phase>clean</phase>
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<goals>
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<goal>exec</goal>
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</goals>
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<configuration>
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<executable>make</executable>
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<workingDirectory>${basedir}/tests_cpu</workingDirectory>
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<arguments>
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<argument>clean</argument>
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</arguments>
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</configuration>
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</execution>
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</executions>
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</plugin>
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</plugins>
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</build>
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</profile>
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<!-- Profiles to set the default libnd4j.helper property, example: mkdnn -->
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<profile>
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<id>libnd4j-helper-avx2</id>
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<activation>
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<property>
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<name>libnd4j.extension</name>
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<value>avx2</value>
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</property>
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</activation>
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<properties>
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<libnd4j.helper>mkldnn</libnd4j.helper>
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</properties>
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</profile>
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<profile>
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<id>libnd4j-helper-avx512</id>
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<activation>
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<property>
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<name>libnd4j.extension</name>
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<value>avx512</value>
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</property>
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</activation>
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<properties>
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<libnd4j.helper>mkldnn</libnd4j.helper>
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</properties>
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</profile>
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</profiles>
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</project>
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