org.deeplearning4j.spark.data.PathToMultiDataSetFunction Maven / Gradle / Ivy
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* * terms of the Apache License, Version 2.0 which is available at
* * https://www.apache.org/licenses/LICENSE-2.0.
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* * information regarding copyright ownership.
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* * SPDX-License-Identifier: Apache-2.0
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package org.deeplearning4j.spark.data;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FSDataInputStream;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.spark.api.java.function.Function;
import org.apache.spark.broadcast.Broadcast;
import org.datavec.spark.util.DefaultHadoopConfig;
import org.datavec.spark.util.SerializableHadoopConfig;
import org.nd4j.linalg.dataset.api.MultiDataSet;
import java.io.IOException;
import java.net.URI;
public class PathToMultiDataSetFunction implements Function {
public static final int BUFFER_SIZE = 4194304; //4 MB
private transient FileSystem fileSystem;
private final Broadcast conf;
public PathToMultiDataSetFunction(){
this(null);
}
public PathToMultiDataSetFunction(Broadcast configuration){
this.conf = configuration;
}
@Override
public MultiDataSet call(String path) throws Exception {
if (fileSystem == null) {
try {
Configuration c = conf == null ? DefaultHadoopConfig.get() : conf.getValue().getConfiguration();
fileSystem = FileSystem.get(new URI(path), c);
} catch (Exception e) {
throw new RuntimeException(e);
}
}
MultiDataSet ds = new org.nd4j.linalg.dataset.MultiDataSet();
try (FSDataInputStream inputStream = fileSystem.open(new Path(path), BUFFER_SIZE)) {
ds.load(inputStream);
} catch (IOException e) {
throw new RuntimeException(e);
}
return ds;
}
}