com.tencent.angel.sona.psf.optim.AsyncOptimFunc Maven / Gradle / Ivy
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* 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
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* 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
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package com.tencent.angel.sona.psf.optim;
import com.tencent.angel.ml.math2.vector.Vector;
import com.tencent.angel.ml.matrix.psf.update.base.PartitionUpdateParam;
import com.tencent.angel.ml.matrix.psf.update.base.UpdateParam;
import com.tencent.angel.ml.matrix.psf.update.update.IncrementRows;
import com.tencent.angel.psagent.matrix.oplog.cache.RowUpdateSplit;
import java.util.List;
public abstract class AsyncOptimFunc extends IncrementRows {
public AsyncOptimFunc(UpdateParam param) {
super(param);
}
public AsyncOptimFunc() {
this(null);
}
@Override
public void partitionUpdate(PartitionUpdateParam partParam) {
PartAsyncOptimParam param = (PartAsyncOptimParam) partParam;
List updates = param.getUpdates();
double[] doubles = param.getDoubles();
int[] ints = param.getInts();
int offset = ints[0];
int slots = ints[1];
Vector[] vectors = new Vector[slots];
for (RowUpdateSplit update: updates) {
for (int i = 0; i < slots; i++) {
vectors[i] = getVector(param.getMatrixId(), update.getRowId() + offset * i,
param.getPartKey());
}
update(vectors, update.getVector(), doubles, ints);
}
}
public abstract void update(Vector[] vectors, Vector grad, double[] doubles, int[] ints);
}
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