[jvm-packages] Fix POM for xgboost-jvm metapackage (#9893)
* [jvm-packages] Fix POM for xgboost-jvm metapackage * Add script for updating the Scala version
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45
dev/change_scala_version.py
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45
dev/change_scala_version.py
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@ -0,0 +1,45 @@
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import argparse
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import pathlib
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import re
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import shutil
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try:
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import sh
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except ImportError as e:
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raise ImportError(
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"Please install sh in your Python environment.\n"
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" - Pip: pip install sh\n"
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" - Conda: conda install -c conda-forge sh"
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) from e
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def main(args):
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# Clean artifacts
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for target in pathlib.Path("jvm-packages/").glob("**/target"):
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if target.is_dir():
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print(f"Removing {target}...")
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shutil.rmtree(target)
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# Update pom.xml
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for pom in pathlib.Path("jvm-packages/").glob("**/pom.xml"):
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print(f"Updating {pom}...")
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sh.sed(
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[
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"-i",
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f"s/<artifactId>xgboost-jvm_[0-9\\.]*/<artifactId>xgboost-jvm_{args.scala_version}/g",
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str(pom),
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]
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)
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if __name__ == "__main__":
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parser = argparse.ArgumentParser()
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parser.add_argument(
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"--scala-version",
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type=str,
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required=True,
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help="Version of Scala to use in the JVM packages",
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choices=["2.12", "2.13"],
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)
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parsed_args = parser.parse_args()
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main(parsed_args)
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@ -2,7 +2,6 @@ import argparse
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import errno
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import glob
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import os
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import platform
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import re
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import shutil
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import subprocess
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@ -88,10 +87,6 @@ def main():
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help="Version of the release being prepared",
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)
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args = parser.parse_args()
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if sys.platform != "darwin" or platform.machine() != "arm64":
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raise NotImplementedError("Please run this script using an M1 Mac")
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version = args.release_version
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expected_git_tag = "v" + version
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current_git_tag = get_current_git_tag()
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@ -141,6 +136,7 @@ def main():
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("linux", "x86_64"),
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("windows", "x86_64"),
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("macos", "x86_64"),
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("macos", "aarch64"),
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]:
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output_dir = f"xgboost4j/src/main/resources/lib/{os_ident}/{arch}"
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maybe_makedirs(output_dir)
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@ -164,6 +160,10 @@ def main():
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url=f"{nightly_bucket_prefix}/{git_branch}/libxgboost4j/libxgboost4j_{commit_hash}.dylib",
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filename="xgboost4j/src/main/resources/lib/macos/x86_64/libxgboost4j.dylib",
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)
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retrieve(
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url=f"{nightly_bucket_prefix}/{git_branch}/libxgboost4j/libxgboost4j_m1_{commit_hash}.dylib",
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filename="xgboost4j/src/main/resources/lib/macos/aarch64/libxgboost4j.dylib",
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)
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with tempfile.TemporaryDirectory() as tempdir:
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# libxgboost4j.so for Linux x86_64, CPU only
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@ -211,9 +211,14 @@ def main():
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"https://central.sonatype.org/publish/publish-maven/"
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)
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print(
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"3. Now on a M1 Mac machine, run the following to build Scala 2.12 artifacts:"
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"3. Now on a Linux machine, run the following to build Scala 2.12 artifacts. "
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"Make sure to use an Internet connection with fast upload speed:"
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)
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print(
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" # Skip native build, since we have all needed native binaries from CI\n"
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" export MAVEN_SKIP_NATIVE_BUILD=1\n"
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" GPG_TTY=$(tty) mvn deploy -Prelease -DskipTests"
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)
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print(" GPG_TTY=$(tty) mvn deploy -Prelease -DskipTests")
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print(
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"4. Log into https://oss.sonatype.org/. On the left menu panel, click Staging "
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"Repositories. Visit the URL https://oss.sonatype.org/content/repositories/mldmlc-xxxx "
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@ -221,9 +226,12 @@ def main():
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"artifacts to the Maven Central repository. The top-level metapackage should be "
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"named xgboost-jvm_2.12."
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)
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print("5. Remove the Scala 2.12 artifacts and build Scala 2.13 artifacts:")
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print(" rm -rf targets/")
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print(" GPG_TTY=$(tty) mvn deploy -Prelease-cpu-only,scala-2.13 -DskipTests")
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print(
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"5. Remove the Scala 2.12 artifacts and build Scala 2.13 artifacts:\n"
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" export MAVEN_SKIP_NATIVE_BUILD=1\n"
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" python dev/change_scala_version.py --scala-version 2.13\n"
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" GPG_TTY=$(tty) mvn deploy -Prelease-cpu-only,scala-2.13 -DskipTests"
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)
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print(
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"6. Go to https://oss.sonatype.org/ to release the Scala 2.13 artifacts. "
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"The top-level metapackage should be named xgboost-jvm_2.13."
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@ -1,6 +1,6 @@
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#!/usr/bin/env python
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import errno
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import argparse
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import errno
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import glob
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import os
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import platform
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@ -19,11 +19,10 @@ CONFIG = {
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"USE_HDFS": "OFF",
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"USE_AZURE": "OFF",
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"USE_S3": "OFF",
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"USE_CUDA": "OFF",
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"USE_NCCL": "OFF",
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"JVM_BINDINGS": "ON",
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"LOG_CAPI_INVOCATION": "OFF"
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"LOG_CAPI_INVOCATION": "OFF",
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}
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@ -70,26 +69,22 @@ def normpath(path):
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return normalized
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if __name__ == "__main__":
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parser = argparse.ArgumentParser()
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parser.add_argument('--log-capi-invocation', type=str, choices=['ON', 'OFF'], default='OFF')
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parser.add_argument('--use-cuda', type=str, choices=['ON', 'OFF'], default='OFF')
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cli_args = parser.parse_args()
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def native_build(args):
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if sys.platform == "darwin":
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# Enable of your compiler supports OpenMP.
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CONFIG["USE_OPENMP"] = "OFF"
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os.environ["JAVA_HOME"] = subprocess.check_output(
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"/usr/libexec/java_home").strip().decode()
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os.environ["JAVA_HOME"] = (
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subprocess.check_output("/usr/libexec/java_home").strip().decode()
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)
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print("building Java wrapper")
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with cd(".."):
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build_dir = 'build-gpu' if cli_args.use_cuda == 'ON' else 'build'
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build_dir = "build-gpu" if cli_args.use_cuda == "ON" else "build"
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maybe_makedirs(build_dir)
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with cd(build_dir):
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if sys.platform == "win32":
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# Force x64 build on Windows.
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maybe_generator = ' -A x64'
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maybe_generator = " -A x64"
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else:
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maybe_generator = ""
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if sys.platform == "linux":
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@ -97,12 +92,12 @@ if __name__ == "__main__":
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else:
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maybe_parallel_build = ""
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if cli_args.log_capi_invocation == 'ON':
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CONFIG['LOG_CAPI_INVOCATION'] = 'ON'
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if cli_args.log_capi_invocation == "ON":
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CONFIG["LOG_CAPI_INVOCATION"] = "ON"
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if cli_args.use_cuda == 'ON':
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CONFIG['USE_CUDA'] = 'ON'
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CONFIG['USE_NCCL'] = 'ON'
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if cli_args.use_cuda == "ON":
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CONFIG["USE_CUDA"] = "ON"
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CONFIG["USE_NCCL"] = "ON"
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args = ["-D{0}:BOOL={1}".format(k, v) for k, v in CONFIG.items()]
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@ -115,7 +110,7 @@ if __name__ == "__main__":
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if gpu_arch_flag is not None:
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args.append("%s" % gpu_arch_flag)
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lib_dir = os.path.join(os.pardir, 'lib')
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lib_dir = os.path.join(os.pardir, "lib")
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if os.path.exists(lib_dir):
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shutil.rmtree(lib_dir)
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run("cmake .. " + " ".join(args) + maybe_generator)
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@ -125,8 +120,10 @@ if __name__ == "__main__":
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run(f'"{sys.executable}" mapfeat.py')
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run(f'"{sys.executable}" mknfold.py machine.txt 1')
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xgboost4j = 'xgboost4j-gpu' if cli_args.use_cuda == 'ON' else 'xgboost4j'
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xgboost4j_spark = 'xgboost4j-spark-gpu' if cli_args.use_cuda == 'ON' else 'xgboost4j-spark'
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xgboost4j = "xgboost4j-gpu" if cli_args.use_cuda == "ON" else "xgboost4j"
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xgboost4j_spark = (
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"xgboost4j-spark-gpu" if cli_args.use_cuda == "ON" else "xgboost4j-spark"
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)
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print("copying native library")
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library_name, os_folder = {
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@ -141,14 +138,19 @@ if __name__ == "__main__":
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"i86pc": "x86_64", # on Solaris x86_64
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"sun4v": "sparc", # on Solaris sparc
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"arm64": "aarch64", # on macOS & Windows ARM 64-bit
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"aarch64": "aarch64"
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"aarch64": "aarch64",
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}[platform.machine().lower()]
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output_folder = "{}/src/main/resources/lib/{}/{}".format(xgboost4j, os_folder, arch_folder)
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output_folder = "{}/src/main/resources/lib/{}/{}".format(
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xgboost4j, os_folder, arch_folder
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)
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maybe_makedirs(output_folder)
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cp("../lib/" + library_name, output_folder)
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print("copying pure-Python tracker")
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cp("../python-package/xgboost/tracker.py", "{}/src/main/resources".format(xgboost4j))
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cp(
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"../python-package/xgboost/tracker.py",
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"{}/src/main/resources".format(xgboost4j),
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)
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print("copying train/test files")
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maybe_makedirs("{}/src/test/resources".format(xgboost4j_spark))
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@ -164,3 +166,18 @@ if __name__ == "__main__":
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maybe_makedirs("{}/src/test/resources".format(xgboost4j))
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for file in glob.glob("../demo/data/agaricus.*"):
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cp(file, "{}/src/test/resources".format(xgboost4j))
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if __name__ == "__main__":
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if "MAVEN_SKIP_NATIVE_BUILD" in os.environ:
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print("MAVEN_SKIP_NATIVE_BUILD is set. Skipping native build...")
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else:
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parser = argparse.ArgumentParser()
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parser.add_argument(
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"--log-capi-invocation", type=str, choices=["ON", "OFF"], default="OFF"
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)
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parser.add_argument(
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"--use-cuda", type=str, choices=["ON", "OFF"], default="OFF"
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)
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cli_args = parser.parse_args()
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native_build(cli_args)
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@ -5,7 +5,7 @@
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<modelVersion>4.0.0</modelVersion>
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<groupId>ml.dmlc</groupId>
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<artifactId>xgboost-jvm_${scala.binary.version}</artifactId>
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<artifactId>xgboost-jvm_2.12</artifactId>
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<version>2.0.2</version>
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<packaging>pom</packaging>
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<name>XGBoost JVM Package</name>
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@ -5,7 +5,7 @@
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<modelVersion>4.0.0</modelVersion>
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<parent>
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<groupId>ml.dmlc</groupId>
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<artifactId>xgboost-jvm_${scala.binary.version}</artifactId>
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<artifactId>xgboost-jvm_2.12</artifactId>
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<version>2.0.2</version>
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</parent>
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<name>xgboost4j-example</name>
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@ -5,7 +5,7 @@
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<modelVersion>4.0.0</modelVersion>
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<parent>
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<groupId>ml.dmlc</groupId>
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<artifactId>xgboost-jvm_${scala.binary.version}</artifactId>
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<artifactId>xgboost-jvm_2.12</artifactId>
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<version>2.0.2</version>
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</parent>
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@ -5,7 +5,7 @@
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<modelVersion>4.0.0</modelVersion>
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<parent>
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<groupId>ml.dmlc</groupId>
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<artifactId>xgboost-jvm_${scala.binary.version}</artifactId>
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<artifactId>xgboost-jvm_2.12</artifactId>
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<version>2.0.2</version>
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</parent>
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<artifactId>xgboost4j-gpu_${scala.binary.version}</artifactId>
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@ -5,7 +5,7 @@
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<modelVersion>4.0.0</modelVersion>
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<parent>
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<groupId>ml.dmlc</groupId>
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<artifactId>xgboost-jvm_${scala.binary.version}</artifactId>
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<artifactId>xgboost-jvm_2.12</artifactId>
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<version>2.0.2</version>
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</parent>
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<name>xgboost4j-spark-gpu</name>
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@ -5,7 +5,7 @@
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<modelVersion>4.0.0</modelVersion>
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<parent>
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<groupId>ml.dmlc</groupId>
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<artifactId>xgboost-jvm_${scala.binary.version}</artifactId>
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<artifactId>xgboost-jvm_2.12</artifactId>
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<version>2.0.2</version>
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</parent>
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<name>xgboost4j-spark</name>
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@ -5,7 +5,7 @@
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<modelVersion>4.0.0</modelVersion>
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<parent>
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<groupId>ml.dmlc</groupId>
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<artifactId>xgboost-jvm_${scala.binary.version}</artifactId>
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<artifactId>xgboost-jvm_2.12</artifactId>
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<version>2.0.2</version>
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</parent>
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<name>xgboost4j</name>
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