com.tencent.angel.sona.psf.gcn.GetLabels Maven / Gradle / Ivy
/*
* Tencent is pleased to support the open source community by making Angel available.
*
* Copyright (C) 2017-2018 THL A29 Limited, a Tencent company. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in
* compliance with the License. You may obtain a copy of the License at
*
* https://opensource.org/licenses/Apache-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.
*
*/
package com.tencent.angel.sona.psf.gcn;
import com.tencent.angel.ml.math2.VFactory;
import com.tencent.angel.ml.math2.vector.LongFloatVector;
import com.tencent.angel.ml.matrix.psf.get.base.GetFunc;
import com.tencent.angel.ml.matrix.psf.get.base.GetResult;
import com.tencent.angel.ml.matrix.psf.get.base.PartitionGetParam;
import com.tencent.angel.ml.matrix.psf.get.base.PartitionGetResult;
import com.tencent.angel.ps.storage.vector.ServerLongFloatRow;
import com.tencent.angel.psagent.PSAgentContext;
import it.unimi.dsi.fastutil.floats.FloatArrayList;
import it.unimi.dsi.fastutil.longs.LongArrayList;
import java.util.List;
public class GetLabels extends GetFunc {
private int matrixId;
public GetLabels(GetLabelsParam param) {
super(param);
matrixId = param.getMatrixId();
}
public GetLabels(int matrixId, long[] nodes) {
super(new GetLabelsParam(matrixId, nodes));
}
public GetLabels() {
super(null);
}
@Override
public PartitionGetResult partitionGet(PartitionGetParam partParam) {
GetLabelsPartParam param = (GetLabelsPartParam) partParam;
ServerLongFloatRow row = (ServerLongFloatRow) psContext.getMatrixStorageManager().getRow(param.getPartKey(), 0);
long[] nodes = param.getNodes();
LongArrayList keys = new LongArrayList();
FloatArrayList vals = new FloatArrayList();
for (int i = 0; i < nodes.length; i++) {
if (row.exist(nodes[i])) {
keys.add(nodes[i]);
vals.add(row.get(nodes[i]));
}
}
return new GetLabelsPartResult(keys.toLongArray(), vals.toFloatArray());
}
@Override
public GetResult merge(List partResults) {
int size = 0;
for (PartitionGetResult result: partResults)
size += ((GetLabelsPartResult) result).size();
long dim = PSAgentContext.get().getMatrixMetaManager().getMatrixMeta(matrixId).getColNum();
LongFloatVector vector = VFactory.sparseLongKeyFloatVector(dim, size);
for (PartitionGetResult result: partResults) {
GetLabelsPartResult r = (GetLabelsPartResult) result;
long[] keys = r.getKeys();
float[] vals = r.getValues();
assert (keys.length == vals.length);
for (int i = 0; i < keys.length; i++)
vector.set(keys[i], vals[i]);
}
return new GetLabelsResult(vector);
}
}
© 2015 - 2025 Weber Informatics LLC | Privacy Policy