Add jenkinsfile for pipeline build and dockerfile for build
Signed-off-by: brian <brian@brutex.de>master
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2a96e71853
commit
e695f1c653
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@ -130,3 +130,15 @@ echo "nameserver 8.8.8.8" | sudo tee -a /etc/resolv.conf
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-P\<xxx>\
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CAVIS_AVX_EXTENSION = {avx2 | avx512}, default is avx2
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# Zeppelin Spark dependencies #
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3
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To add the dependency to the language models, use the following format in the Dependencies section of the of the Spark Interpreter configuration (Interpreters -> Spark -> Edit -> Dependencies):
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groupId:artifactId:packaging:classifier:version
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In your case it should work with
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edu.stanford.nlp:stanford-corenlp:jar:models:3.8.0
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@ -16,7 +16,8 @@ dependencies {
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api "com.fasterxml.jackson.datatype:jackson-datatype-joda:2.10.5"
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api 'org.slf4j:slf4j-simple:2.0.3'
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api 'org.slf4j:slf4j-api:2.0.3'
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//api group: "org.bytedeco", name: "javacpp", classifier: "linux-x64_86"
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api group: "org.bytedeco", name: "javacpp", classifier: "linux-x64_86"
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api group: 'net.brutex.cavis-native', name: 'cavis-native-lib', version: '1.0.0-SNAPSHOT', classifier: "linux-x86_64-avx2-cpu"
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rootProject.getAllprojects().each { Project sproj ->
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if(!sproj.name.equals(name) && !sproj.name.equals("cavis-common-platform")
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@ -117,7 +117,8 @@ dependencies {
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api platform(project(':cavis-common-platform'))
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api "org.bytedeco:javacpp"
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implementation "org.bytedeco:javacpp"
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implementation group: "org.bytedeco", name: "javacpp", classifier: "${javacppPlatform}"
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if(withCuda()) {
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cudaSupportImplementation platform(project(':cavis-common-platform'))
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