use of com.tencent.angel.ps.storage.vector.ServerIntDoubleRow in project angel by Tencent.
the class GBDTGradHistGetRowFunc method merge.
@Override
public GetResult merge(List<PartitionGetResult> partResults) {
int size = partResults.size();
List<ServerRow> rowSplits = new ArrayList<ServerRow>(size);
for (int i = 0; i < size; i++) {
rowSplits.add(((PartitionGetRowResult) partResults.get(i)).getRowSplit());
}
SplitEntry splitEntry = new SplitEntry();
for (int i = 0; i < size; i++) {
ServerIntDoubleRow row = (ServerIntDoubleRow) ((PartitionGetRowResult) partResults.get(i)).getRowSplit();
int fid = (int) row.get(0 + (int) row.getStartCol());
if (fid != -1) {
int splitIndex = (int) row.get(1 + (int) row.getStartCol());
float lossGain = (float) row.get(2 + (int) row.getStartCol());
float leftSumGrad = (float) row.get(3 + (int) row.getStartCol());
float leftSumHess = (float) row.get(4 + (int) row.getStartCol());
float rightSumGrad = (float) row.get(5 + (int) row.getStartCol());
float rightSumHess = (float) row.get(6 + (int) row.getStartCol());
LOG.info(String.format("psFunc: the best split after looping a split: fid[%d], fvalue[%d], loss gain[%f]" + ", leftSumGrad[%f], leftSumHess[%f], rightSumGrad[%f], rightSumHess[%f]", fid, splitIndex, lossGain, leftSumGrad, leftSumHess, rightSumGrad, rightSumHess));
GradStats curLeftGradStat = new GradStats(leftSumGrad, leftSumHess);
GradStats curRightGradStat = new GradStats(rightSumGrad, rightSumHess);
SplitEntry curSplitEntry = new SplitEntry(fid, splitIndex, lossGain);
curSplitEntry.leftGradStat = curLeftGradStat;
curSplitEntry.rightGradStat = curRightGradStat;
splitEntry.update(curSplitEntry);
}
}
return new GBDTGradHistGetRowResult(ResponseType.SUCCESS, splitEntry);
}
use of com.tencent.angel.ps.storage.vector.ServerIntDoubleRow in project angel by Tencent.
the class RowSplitCombineUtils method combineServerIntDoubleRowSplits.
private static Vector combineServerIntDoubleRowSplits(List<ServerRow> rowSplits, MatrixMeta matrixMeta, int rowIndex) {
int colNum = (int) matrixMeta.getColNum();
int elemNum = 0;
int size = rowSplits.size();
for (int i = 0; i < size; i++) {
elemNum += rowSplits.get(i).size();
}
IntDoubleVector row;
if (elemNum >= (int) (storageConvFactor * colNum)) {
row = VFactory.denseDoubleVector(colNum);
} else {
row = VFactory.sparseDoubleVector(colNum, elemNum);
}
row.setMatrixId(matrixMeta.getId());
row.setRowId(rowIndex);
Collections.sort(rowSplits, serverRowComp);
int clock = Integer.MAX_VALUE;
for (int i = 0; i < size; i++) {
if (rowSplits.get(i) == null) {
continue;
}
if (rowSplits.get(i).getClock() < clock) {
clock = rowSplits.get(i).getClock();
}
((ServerIntDoubleRow) rowSplits.get(i)).mergeTo(row);
}
row.setClock(clock);
return row;
}
use of com.tencent.angel.ps.storage.vector.ServerIntDoubleRow in project angel by Tencent.
the class MergeUtils method combineServerIntDoubleRowSplits.
private static Vector combineServerIntDoubleRowSplits(List<ServerRow> rowSplits, MatrixMeta matrixMeta, int rowIndex) {
int colNum = (int) matrixMeta.getColNum();
int elemNum = 0;
int size = rowSplits.size();
for (int i = 0; i < size; i++) {
elemNum += rowSplits.get(i).size();
}
IntDoubleVector row;
if (matrixMeta.isHash()) {
row = VFactory.sparseDoubleVector(colNum, elemNum);
} else {
if (elemNum >= (int) (storageConvFactor * colNum)) {
row = VFactory.denseDoubleVector(colNum);
} else {
row = VFactory.sparseDoubleVector(colNum, elemNum);
}
}
row.setMatrixId(matrixMeta.getId());
row.setRowId(rowIndex);
Collections.sort(rowSplits, serverRowComp);
for (int i = 0; i < size; i++) {
if (rowSplits.get(i) == null) {
continue;
}
((ServerIntDoubleRow) rowSplits.get(i)).mergeTo(row);
}
return row;
}
use of com.tencent.angel.ps.storage.vector.ServerIntDoubleRow in project angel by Tencent.
the class GBDTGradHistGetRowFunc method partitionGet.
@Override
public PartitionGetResult partitionGet(PartitionGetParam partParam) {
HistAggrParam.HistPartitionAggrParam param = (HistAggrParam.HistPartitionAggrParam) partParam;
LOG.info("For the gradient histogram of GBDT, we use PS to find the optimal split");
GBDTParam gbtparam = new GBDTParam();
gbtparam.numSplit = param.getSplitNum();
gbtparam.minChildWeight = param.getMinChildWeight();
gbtparam.regAlpha = param.getRegAlpha();
gbtparam.regLambda = param.getRegLambda();
ServerIntDoubleRow row = (ServerIntDoubleRow) psContext.getMatrixStorageManager().getRow(param.getMatrixId(), param.getRowId(), param.getPartKey().getPartitionId());
SplitEntry splitEntry = GradHistHelper.findSplitOfServerRow(row, gbtparam);
int fid = splitEntry.getFid();
int splitIndex = (int) splitEntry.getFvalue();
double lossGain = splitEntry.getLossChg();
GradStats leftGradStat = splitEntry.leftGradStat;
GradStats rightGradStat = splitEntry.rightGradStat;
double leftSumGrad = leftGradStat.sumGrad;
double leftSumHess = leftGradStat.sumHess;
double rightSumGrad = rightGradStat.sumGrad;
double rightSumHess = rightGradStat.sumHess;
LOG.info(String.format("split of matrix[%d] part[%d] row[%d]: fid[%d], split index[%d], loss gain[%f], " + "left sumGrad[%f], left sum hess[%f], right sumGrad[%f], right sum hess[%f]", param.getMatrixId(), param.getPartKey().getPartitionId(), param.getRowId(), fid, splitIndex, lossGain, leftSumGrad, leftSumHess, rightSumGrad, rightSumHess));
int startFid = (int) row.getStartCol() / (2 * gbtparam.numSplit);
// each split contains 7 doubles
int sendStartCol = startFid * 7;
// int sendStartCol = (int) row.getStartCol();
int sendEndCol = sendStartCol + 7;
ServerIntDoubleRow sendRow = new ServerIntDoubleRow(param.getRowId(), RowType.T_DOUBLE_DENSE, sendStartCol, sendEndCol, sendEndCol - sendStartCol, RouterType.RANGE);
LOG.info(String.format("Create server row of split result: row id[%d], start col[%d], end col[%d]", param.getRowId(), sendStartCol, sendEndCol));
sendRow.set(0 + sendStartCol, fid);
sendRow.set(1 + sendStartCol, splitIndex);
sendRow.set(2 + sendStartCol, lossGain);
sendRow.set(3 + sendStartCol, leftSumGrad);
sendRow.set(4 + sendStartCol, leftSumHess);
sendRow.set(5 + sendStartCol, rightSumGrad);
sendRow.set(6 + sendStartCol, rightSumHess);
return new PartitionGetRowResult(sendRow);
}
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