cavis/deeplearning4j/deeplearning4j-scaleout/spark/dl4j-spark-parameterserver/pom.xml

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<!--~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
~ Copyright (c) 2015-2018 Skymind, Inc.
~
~ This program and the accompanying materials are made available under the
~ terms of the Apache License, Version 2.0 which is available at
~ https://www.apache.org/licenses/LICENSE-2.0.
~
~ Unless required by applicable law or agreed to in writing, software
~ distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
~ WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
~ License for the specific language governing permissions and limitations
~ under the License.
~
~ SPDX-License-Identifier: Apache-2.0
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~-->
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<parent>
<artifactId>spark_2.11</artifactId>
<groupId>org.deeplearning4j</groupId>
Snapshot update (#8194) * fix double consumption of rng on cpu Signed-off-by: raver119 <raver119@gmail.com> * Shyrma docs (#222) * - documenting and profiling matrix_set_diag cuda kernel Signed-off-by: Yurii <yurii@skymind.io> * - correct formula of pnorm pooling in cuda 2d/3d kernels - remove helper matrix_diag which duplicates work of helper matrix_set_diag Signed-off-by: Yurii <yurii@skymind.io> * cublasHandle sharing + lock Signed-off-by: raver119 <raver119@gmail.com> * cublasHandle sharing + lock Signed-off-by: raver119 <raver119@gmail.com> * Documentation from serialization/deserialization in NLP (#221) * refactoring Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com> * Javadocs Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com> * Javadoc fixed Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com> * Cleanup Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com> * dedicated lock for getCudaCublasHandle Signed-off-by: raver119 <raver119@gmail.com> * Small fixes (#223) Signed-off-by: AlexDBlack <blacka101@gmail.com> * ELU DL4J fixes (#224) Signed-off-by: AlexDBlack <blacka101@gmail.com> * javadoc (#225) Signed-off-by: Robert Altena <Rob@Ra-ai.com> * Small test compilation fix (#226) Signed-off-by: AlexDBlack <blacka101@gmail.com> * #8182 remove spark version suffix (#227) Signed-off-by: AlexDBlack <blacka101@gmail.com> * [WIP] Thread safety (#229) * sync after cublas*gemm Signed-off-by: raver119 <raver119@gmail.com> * mutex for CublasHelper Signed-off-by: raver119 <raver119@gmail.com> * don't store cublasHandle in LaunchContext, it's per-device anyway Signed-off-by: raver119 <raver119@gmail.com> * some printout Signed-off-by: raver119 <raver119@gmail.com> * check for field instead Signed-off-by: raver119 <raver119@gmail.com> * pew-pew Signed-off-by: raver119 <raver119@gmail.com> * don't release ContextBuffers until device changed Signed-off-by: raver119 <raver119@gmail.com> * small tweak Signed-off-by: raver119 <raver119@gmail.com> * some logging in sgemm Signed-off-by: raver119 <raver119@gmail.com> * stream sync Signed-off-by: raver119 <raver119@gmail.com> * some more logging Signed-off-by: raver119 <raver119@gmail.com> * some more error checks Signed-off-by: raver119 <raver119@gmail.com> * one fancy test Signed-off-by: raver119 <raver119@gmail.com> * one fancy test Signed-off-by: raver119 <raver119@gmail.com> * minor AffinityManager fix Signed-off-by: raver119 <raver119@gmail.com> * cudaEvent error logging improvement Signed-off-by: raver119 <raver119@gmail.com> * ConstantHelper thread safety Signed-off-by: raver119 <raver119@gmail.com> * - minor corrections in ConstantTadHelper Signed-off-by: Yurii <yurii@skymind.io> * ConstantShapeHelper thread safety Signed-off-by: raver119 <raver119@gmail.com> * ConstantTadHelper.cu updated Signed-off-by: raver119 <raver119@gmail.com> * logging off Signed-off-by: raver119 <raver119@gmail.com> * logging off Signed-off-by: raver119 <raver119@gmail.com>
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<version>1.0.0-SNAPSHOT</version>
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</parent>
<modelVersion>4.0.0</modelVersion>
<artifactId>dl4j-spark-parameterserver_2.11</artifactId>
<packaging>jar</packaging>
<name>dl4j-spark-parameterserver</name>
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
</properties>
<dependencies>
<dependency>
<groupId>org.nd4j</groupId>
<artifactId>nd4j-aeron</artifactId>
<version>${nd4j.version}</version>
</dependency>
<dependency>
<groupId>org.nd4j</groupId>
<artifactId>nd4j-parameter-server-node_2.11</artifactId>
<version>${nd4j.version}</version>
</dependency>
<dependency>
<groupId>org.deeplearning4j</groupId>
<artifactId>dl4j-spark_2.11</artifactId>
<version>${project.version}</version>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<version>${lombok.version}</version>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>org.deeplearning4j</groupId>
<artifactId>deeplearning4j-parallel-wrapper</artifactId>
<version>${nd4j.version}</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.11</artifactId>
<version>${spark.version}</version>
<scope>provided</scope>
</dependency>
</dependencies>
<profiles>
<profile>
<id>test-nd4j-native</id>
</profile>
<profile>
<id>test-nd4j-cuda-10.1</id>
</profile>
</profiles>
<build>
<plugins>
<plugin>
<artifactId>maven-compiler-plugin</artifactId>
<configuration>
<source>1.8</source>
<target>1.8</target>
</configuration>
</plugin>
</plugins>
</build>
</project>