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FederationUtils.java
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FederationUtils.java
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/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you 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
*
* http://www.apache.org/licenses/LICENSE-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 org.apache.sysds.runtime.controlprogram.federated;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.Optional;
import java.util.concurrent.Future;
import org.apache.commons.lang3.tuple.Pair;
import org.apache.log4j.Logger;
import org.apache.sysds.common.Types.ExecType;
import org.apache.sysds.hops.fedplanner.FTypes.FPartitioning;
import org.apache.sysds.hops.fedplanner.FTypes.FType;
import org.apache.sysds.lops.Lop;
import org.apache.sysds.runtime.DMLRuntimeException;
import org.apache.sysds.runtime.controlprogram.caching.CacheableData;
import org.apache.sysds.runtime.controlprogram.caching.MatrixObject;
import org.apache.sysds.runtime.controlprogram.federated.FederatedRequest.RequestType;
import org.apache.sysds.runtime.controlprogram.parfor.util.IDSequence;
import org.apache.sysds.runtime.functionobjects.Builtin;
import org.apache.sysds.runtime.functionobjects.Builtin.BuiltinCode;
import org.apache.sysds.runtime.functionobjects.CM;
import org.apache.sysds.runtime.functionobjects.KahanFunction;
import org.apache.sysds.runtime.functionobjects.Mean;
import org.apache.sysds.runtime.functionobjects.Multiply;
import org.apache.sysds.runtime.functionobjects.Plus;
import org.apache.sysds.runtime.functionobjects.ReduceAll;
import org.apache.sysds.runtime.instructions.InstructionUtils;
import org.apache.sysds.runtime.instructions.cp.CPOperand;
import org.apache.sysds.runtime.instructions.cp.DoubleObject;
import org.apache.sysds.runtime.instructions.cp.ScalarObject;
import org.apache.sysds.runtime.matrix.data.LibMatrixAgg;
import org.apache.sysds.runtime.matrix.data.MatrixBlock;
import org.apache.sysds.runtime.matrix.operators.AggregateOperator;
import org.apache.sysds.runtime.matrix.operators.AggregateUnaryOperator;
import org.apache.sysds.runtime.matrix.operators.BinaryOperator;
import org.apache.sysds.runtime.matrix.operators.ScalarOperator;
import org.apache.sysds.runtime.matrix.operators.SimpleOperator;
import io.netty.handler.codec.serialization.ClassResolvers;
import io.netty.handler.codec.serialization.ObjectDecoder;
public class FederationUtils {
protected static Logger log = Logger.getLogger(FederationUtils.class);
private static final IDSequence _idSeq = new IDSequence();
public static void resetFedDataID() {
_idSeq.reset();
}
public static long getNextFedDataID() {
return _idSeq.getNextID();
}
public static void checkFedMapType(MatrixObject mo) {
FederationMap fedMap = mo.getFedMapping();
FType oldType = fedMap.getType();
boolean isRow = true;
long prev = 0;
for(FederatedRange e : fedMap.getFederatedRanges()) {
if(e.getBeginDims()[0] < e.getEndDims()[0] && e.getBeginDims()[0] == prev && isRow)
prev = e.getEndDims()[0];
else
isRow = false;
}
if(isRow && oldType.getPartType() == FPartitioning.COL)
fedMap.setType(FType.ROW);
else if(!isRow && oldType.getPartType() == FPartitioning.ROW)
fedMap.setType(FType.COL);
}
//TODO remove rmFedOutFlag, once all federated instructions have this flag, then unconditionally remove
public static FederatedRequest callInstruction(String inst, CPOperand varOldOut, CPOperand[] varOldIn, long[] varNewIn, boolean rmFedOutFlag){
long id = getNextFedDataID();
String linst = InstructionUtils.instructionStringFEDPrepare(inst, varOldOut, id, varOldIn, varNewIn, rmFedOutFlag);
return new FederatedRequest(RequestType.EXEC_INST, id, linst);
}
public static FederatedRequest callInstruction(String inst, CPOperand varOldOut, CPOperand[] varOldIn, long[] varNewIn) {
return callInstruction(inst,varOldOut, varOldIn, varNewIn, false);
}
public static FederatedRequest[] callInstruction(String[] inst, CPOperand varOldOut, CPOperand[] varOldIn, long[] varNewIn) {
long id = getNextFedDataID();
String[] linst = inst;
FederatedRequest[] fr = new FederatedRequest[inst.length];
for(int j=0; j<inst.length; j++) {
for(int i = 0; i < varOldIn.length; i++) {
linst[j] = linst[j].replace(
Lop.OPERAND_DELIMITOR + varOldOut.getName() + Lop.DATATYPE_PREFIX,
Lop.OPERAND_DELIMITOR + String.valueOf(id) + Lop.DATATYPE_PREFIX);
if(varOldIn[i] != null) {
linst[j] = linst[j].replace(
Lop.OPERAND_DELIMITOR + varOldIn[i].getName() + Lop.DATATYPE_PREFIX,
Lop.OPERAND_DELIMITOR + String.valueOf(varNewIn[i]) + Lop.DATATYPE_PREFIX);
linst[j] = linst[j].replace("=" + varOldIn[i].getName(), "=" + String.valueOf(varNewIn[i])); //parameterized
}
}
fr[j] = new FederatedRequest(RequestType.EXEC_INST, id, (Object) linst[j]);
}
return fr;
}
public static FederatedRequest[] callInstruction(String[] inst, CPOperand varOldOut, long outputId, CPOperand[] varOldIn, long[] varNewIn, ExecType type) {
String[] linst = inst;
FederatedRequest[] fr = new FederatedRequest[inst.length];
for(int j=0; j<inst.length; j++) {
linst[j] = InstructionUtils.replaceOperand(linst[j], 0, type == null ?
InstructionUtils.getExecType(linst[j]).name() : type.name());
// replace inputs before before outputs in order to prevent conflicts
// on outputId matching input literals (due to a mix of input instructions,
// have to apply this replacement even for literal inputs)
for(int i = 0; i < varOldIn.length; i++) {
if( varOldIn[i] != null ) {
linst[j] = linst[j].replace(
Lop.OPERAND_DELIMITOR + varOldIn[i].getName() + Lop.DATATYPE_PREFIX,
Lop.OPERAND_DELIMITOR + String.valueOf(varNewIn[i]) + Lop.DATATYPE_PREFIX);
// handle parameterized builtin functions
linst[j] = linst[j].replace("=" + varOldIn[i].getName(), "=" + String.valueOf(varNewIn[i]));
}
}
for(int i = 0; i < varOldIn.length; i++) {
linst[j] = linst[j].replace(
Lop.OPERAND_DELIMITOR + varOldOut.getName() + Lop.DATATYPE_PREFIX,
Lop.OPERAND_DELIMITOR + String.valueOf(outputId) + Lop.DATATYPE_PREFIX);
}
fr[j] = new FederatedRequest(RequestType.EXEC_INST, outputId, (Object) linst[j]);
}
return fr;
}
public static FederatedRequest callInstruction(String inst, CPOperand varOldOut, long outputId, CPOperand[] varOldIn, long[] varNewIn, ExecType type, boolean rmFedOutputFlag) {
boolean isFedInstr = inst.startsWith(ExecType.FED.name() + Lop.OPERAND_DELIMITOR);
String linst = InstructionUtils.replaceOperand(inst, 0, type.name());
linst = linst.replace(Lop.OPERAND_DELIMITOR+varOldOut.getName()+Lop.DATATYPE_PREFIX, Lop.OPERAND_DELIMITOR+outputId+Lop.DATATYPE_PREFIX);
for(int i=0; i<varOldIn.length; i++)
if( varOldIn[i] != null ) {
linst = linst.replace(
Lop.OPERAND_DELIMITOR+varOldIn[i].getName()+Lop.DATATYPE_PREFIX,
Lop.OPERAND_DELIMITOR+(varNewIn[i])+Lop.DATATYPE_PREFIX);
linst = linst.replace("="+varOldIn[i].getName(), "="+(varNewIn[i])); //parameterized
}
if(rmFedOutputFlag && isFedInstr)
linst = InstructionUtils.removeFEDOutputFlag(linst);
return new FederatedRequest(RequestType.EXEC_INST, outputId, linst);
}
public static MatrixBlock aggAdd(Future<FederatedResponse>[] ffr) {
try {
SimpleOperator op = new SimpleOperator(Plus.getPlusFnObject());
MatrixBlock[] in = new MatrixBlock[ffr.length];
for(int i=0; i<ffr.length; i++)
in[i] = (MatrixBlock) ffr[i].get().getData()[0];
return MatrixBlock.naryOperations(op, in, new ScalarObject[0], new MatrixBlock());
}
catch(Exception ex) {
throw new DMLRuntimeException(ex);
}
}
public static MatrixBlock aggMean(Future<FederatedResponse>[] ffr, FederationMap map) {
try {
FederatedRange[] ranges = map.getFederatedRanges();
BinaryOperator bop = InstructionUtils.parseBinaryOperator("+");
ScalarOperator sop1 = InstructionUtils.parseScalarBinaryOperator("*", false);
MatrixBlock ret = null;
long size = 0;
for(int i=0; i<ffr.length; i++) {
Object input = ffr[i].get().getData()[0];
MatrixBlock tmp = (input instanceof ScalarObject) ?
new MatrixBlock(((ScalarObject)input).getDoubleValue()) : (MatrixBlock) input;
size += ranges[i].getSize(0);
sop1 = sop1.setConstant(ranges[i].getSize(0));
tmp = tmp.scalarOperations(sop1, new MatrixBlock());
ret = (ret==null) ? tmp : ret.binaryOperationsInPlace(bop, tmp);
}
ScalarOperator sop2 = InstructionUtils.parseScalarBinaryOperator("/", false);
sop2 = sop2.setConstant(size);
return ret.scalarOperations(sop2, new MatrixBlock());
}
catch(Exception ex) {
throw new DMLRuntimeException(ex);
}
}
public static MatrixBlock[] getResults(Future<FederatedResponse>[] ffr) {
try {
MatrixBlock[] ret = new MatrixBlock[ffr.length];
for(int i=0; i<ffr.length; i++)
ret[i] = (MatrixBlock) ffr[i].get().getData()[0];
return ret;
}
catch(Exception ex) {
throw new DMLRuntimeException(ex);
}
}
public static MatrixBlock bind(Future<FederatedResponse>[] ffr, boolean cbind) {
// TODO handle non-contiguous cases
try {
MatrixBlock[] tmp = getResults(ffr);
return tmp[0].append(
Arrays.copyOfRange(tmp, 1, tmp.length),
new MatrixBlock(), cbind);
}
catch(Exception ex) {
throw new DMLRuntimeException(ex);
}
}
public static MatrixBlock aggMinMax(Future<FederatedResponse>[] ffr, boolean isMin, boolean isScalar, Optional<FType> fedType) {
try {
if (!fedType.isPresent() || fedType.get() == FType.OTHER) {
double res = isMin ? Double.MAX_VALUE : -Double.MAX_VALUE;
for (Future<FederatedResponse> fr : ffr) {
double v = isScalar ? ((ScalarObject) fr.get().getData()[0]).getDoubleValue() :
isMin ? ((MatrixBlock) fr.get().getData()[0]).min() : ((MatrixBlock) fr.get().getData()[0]).max();
res = isMin ? Math.min(res, v) : Math.max(res, v);
}
return new MatrixBlock(1, 1, res);
} else {
MatrixBlock[] tmp = getResults(ffr);
int dim = fedType.get() == FType.COL ? tmp[0].getNumRows() : tmp[0].getNumColumns();
for (int i = 0; i < ffr.length - 1; i++)
for (int j = 0; j < dim; j++)
if (fedType.get() == FType.COL)
tmp[i + 1].setValue(j, 0, isMin ? Double.min(tmp[i].getValue(j, 0), tmp[i + 1].getValue(j, 0)) :
Double.max(tmp[i].getValue(j, 0), tmp[i + 1].getValue(j, 0)));
else tmp[i + 1].setValue(0, j, isMin ? Double.min(tmp[i].getValue(0, j), tmp[i + 1].getValue(0, j)) :
Double.max(tmp[i].getValue(0, j), tmp[i + 1].getValue(0, j)));
return tmp[ffr.length-1];
}
}
catch (Exception ex) {
throw new DMLRuntimeException(ex);
}
}
public static MatrixBlock aggProd(Future<FederatedResponse>[] ffr, FederationMap fedMap, AggregateUnaryOperator aop) {
try {
boolean rowFed = fedMap.getType() == FType.ROW;
MatrixBlock ret = aop.isFullAggregate() ? (rowFed ?
new MatrixBlock(ffr.length, 1, 1.0) : new MatrixBlock(1, ffr.length, 1.0)) :
(rowFed ?
new MatrixBlock(ffr.length, (int) fedMap.getFederatedRanges()[0].getEndDims()[1], 1.0) :
new MatrixBlock((int) fedMap.getFederatedRanges()[0].getEndDims()[0], ffr.length, 1.0));
MatrixBlock res = aop.isFullAggregate() ? new MatrixBlock(1, 1, 1.0) :
(rowFed ?
new MatrixBlock(1, (int) fedMap.getFederatedRanges()[0].getEndDims()[1], 1.0) :
new MatrixBlock((int) fedMap.getFederatedRanges()[0].getEndDims()[0], 1, 1.0));
for(int i = 0; i < ffr.length; i++) {
MatrixBlock tmp = (MatrixBlock) ffr[i].get().getData()[0];
if(rowFed)
ret.copy(i, i, 0, ret.getNumColumns()-1, tmp, true);
else
ret.copy(0, ret.getNumRows()-1, i, i, tmp, true);
}
LibMatrixAgg.aggregateUnaryMatrix(ret, res, aop);
return res;
}
catch (Exception ex) {
throw new DMLRuntimeException(ex);
}
}
public static MatrixBlock aggMinMaxIndex(Future<FederatedResponse>[] ffr, boolean isMin, FederationMap map) {
try {
MatrixBlock prev = (MatrixBlock) ffr[0].get().getData()[0];
int size = 0;
for(int i = 1; i < ffr.length; i++) {
MatrixBlock next = (MatrixBlock) ffr[i].get().getData()[0];
size = map.getFederatedRanges()[i-1].getEndDimsInt()[1];
for(int j = 0; j < prev.getNumRows(); j++) {
next.setValue(j, 0, next.getValue(j, 0) + size);
if((prev.getValue(j, 1) > next.getValue(j, 1) && !isMin) ||
(prev.getValue(j, 1) < next.getValue(j, 1) && isMin)) {
next.setValue(j, 0, prev.getValue(j, 0));
next.setValue(j, 1, prev.getValue(j, 1));
}
}
prev = next;
}
return prev.slice(0, prev.getNumRows()-1, 0,0, true, new MatrixBlock());
}
catch (Exception ex) {
throw new DMLRuntimeException(ex);
}
}
public static MatrixBlock aggVar(Future<FederatedResponse>[] ffr, Future<FederatedResponse>[] meanFfr, FederationMap map, boolean isRowAggregate, boolean isScalar) {
try {
FederatedRange[] ranges = map.getFederatedRanges();
BinaryOperator plus = InstructionUtils.parseBinaryOperator("+");
BinaryOperator minus = InstructionUtils.parseBinaryOperator("-");
ScalarOperator mult1 = InstructionUtils.parseScalarBinaryOperator("*", false);
ScalarOperator dev1 = InstructionUtils.parseScalarBinaryOperator("/", false);
ScalarOperator pow = InstructionUtils.parseScalarBinaryOperator("^2", false);
long size1 = isScalar ? ranges[0].getSize() : ranges[0].getSize(isRowAggregate ? 1 : 0);
MatrixBlock var1 = (MatrixBlock)ffr[0].get().getData()[0];
MatrixBlock mean1 = (MatrixBlock)meanFfr[0].get().getData()[0];
for(int i=0; i < ffr.length - 1; i++) {
MatrixBlock var2 = (MatrixBlock)ffr[i+1].get().getData()[0];
MatrixBlock mean2 = (MatrixBlock)meanFfr[i+1].get().getData()[0];
long size2 = isScalar ? ranges[i+1].getSize() : ranges[i+1].getSize(isRowAggregate ? 1 : 0);
mult1 = mult1.setConstant(size1);
var1 = var1.scalarOperations(mult1, new MatrixBlock());
mult1 = mult1.setConstant(size2);
var1 = var1.binaryOperationsInPlace(plus, var2.scalarOperations(mult1, new MatrixBlock()));
dev1 = dev1.setConstant(size1 + size2);
var1 = var1.scalarOperations(dev1, new MatrixBlock());
MatrixBlock tmp1 = new MatrixBlock(mean1);
tmp1 = tmp1.binaryOperationsInPlace(minus, mean2);
tmp1 = tmp1.scalarOperations(dev1, new MatrixBlock());
tmp1 = tmp1.scalarOperations(pow, new MatrixBlock());
mult1 = mult1.setConstant(size1*size2);
tmp1 = tmp1.scalarOperations(mult1, new MatrixBlock());
var1 = tmp1.binaryOperationsInPlace(plus, var1);
// next mean
mult1 = mult1.setConstant(size1);
tmp1 = mean1.scalarOperations(mult1, new MatrixBlock());
mult1 = mult1.setConstant(size2);
mean1 = tmp1.binaryOperationsInPlace(plus, mean2.scalarOperations(mult1, new MatrixBlock()));
mean1 = mean1.scalarOperations(dev1, new MatrixBlock());
size1 = size1 + size2;
}
return var1;
}
catch (Exception ex) {
throw new DMLRuntimeException(ex);
}
}
public static ScalarObject aggScalar(AggregateUnaryOperator aop, Future<FederatedResponse>[] ffr, Future<FederatedResponse>[] meanFfr, FederationMap map) {
if(!(aop.aggOp.increOp.fn instanceof KahanFunction || aop.aggOp.increOp.fn instanceof CM ||
(aop.aggOp.increOp.fn instanceof Builtin &&
(((Builtin) aop.aggOp.increOp.fn).getBuiltinCode() == BuiltinCode.MIN ||
((Builtin) aop.aggOp.increOp.fn).getBuiltinCode() == BuiltinCode.MAX)
|| aop.aggOp.increOp.fn instanceof Mean))) {
throw new DMLRuntimeException("Unsupported aggregation operator: "
+ aop.aggOp.increOp.getClass().getSimpleName());
}
try {
if(aop.aggOp.increOp.fn instanceof Builtin){
// then we know it is a Min or Max based on the previous check.
boolean isMin = ((Builtin) aop.aggOp.increOp.fn).getBuiltinCode() == BuiltinCode.MIN;
return new DoubleObject(aggMinMax(ffr, isMin, true, Optional.empty()).getValue(0,0));
}
else if( aop.aggOp.increOp.fn instanceof Mean ) {
return new DoubleObject(aggMean(ffr, map).getValue(0,0));
}
else if(aop.aggOp.increOp.fn instanceof CM) {
long size1 = map.getFederatedRanges()[0].getSize();
double mean1 = ((ScalarObject) meanFfr[0].get().getData()[0]).getDoubleValue();
double squaredM1 = ((ScalarObject) ffr[0].get().getData()[0]).getDoubleValue() * (size1 - 1);
for(int i = 1; i < ffr.length; i++) {
long size2 = map.getFederatedRanges()[i].getSize();
double delta = ((ScalarObject) meanFfr[i].get().getData()[0]).getDoubleValue() - mean1;
double squaredM2 = ((ScalarObject) ffr[i].get().getData()[0]).getDoubleValue() * (size2 - 1);
squaredM1 = squaredM1 + squaredM2 + (Math.pow(delta, 2) * size1 * size2 / (size1 + size2));
size1 += size2;
mean1 = mean1 + delta * size2 / size1;
}
double var = squaredM1 / (size1 - 1);
return new DoubleObject(var);
}
else { //if (aop.aggOp.increOp.fn instanceof KahanFunction)
double sum = 0; //uak+
for( Future<FederatedResponse> fr : ffr )
sum += ((ScalarObject)fr.get().getData()[0]).getDoubleValue();
return new DoubleObject(sum);
}
}
catch(Exception ex) {
throw new DMLRuntimeException(ex);
}
}
public static MatrixBlock aggMatrix(AggregateUnaryOperator aop, Future<FederatedResponse>[] ffr, Future<FederatedResponse>[] meanFfr, FederationMap map) {
if (aop.isRowAggregate() && map.getType() == FType.ROW)
return bind(ffr, false);
else if (aop.isColAggregate() && map.getType() == FType.COL)
return bind(ffr, true);
if (aop.aggOp.increOp.fn instanceof KahanFunction)
return aggAdd(ffr);
else if( aop.aggOp.increOp.fn instanceof Mean )
return aggMean(ffr, map);
else if (aop.aggOp.increOp.fn instanceof Builtin &&
(((Builtin) aop.aggOp.increOp.fn).getBuiltinCode() == BuiltinCode.MIN ||
((Builtin) aop.aggOp.increOp.fn).getBuiltinCode() == BuiltinCode.MAX)) {
boolean isMin = ((Builtin) aop.aggOp.increOp.fn).getBuiltinCode() == BuiltinCode.MIN;
return aggMinMax(ffr,isMin,false, Optional.of(map.getType()));
} else if(aop.aggOp.increOp.fn instanceof CM) {
return aggVar(ffr, meanFfr, map, aop.isRowAggregate(), !(aop.isColAggregate() || aop.isRowAggregate())); //TODO
}
else
throw new DMLRuntimeException("Unsupported aggregation operator: "
+ aop.aggOp.increOp.fn.getClass().getSimpleName());
}
public static void waitFor(List<Future<FederatedResponse>> responses) {
try {
for(Future<FederatedResponse> fr : responses)
fr.get();
}
catch(Exception ex) {
throw new DMLRuntimeException(ex);
}
}
public static ScalarObject aggScalar(AggregateUnaryOperator aop, Future<FederatedResponse>[] ffr) {
return aggScalar(aop, ffr, null);
}
public static ScalarObject aggScalar(AggregateUnaryOperator aop, Future<FederatedResponse>[] ffr, FederationMap map) {
if(!(aop.aggOp.increOp.fn instanceof KahanFunction || (aop.aggOp.increOp.fn instanceof Builtin &&
(((Builtin) aop.aggOp.increOp.fn).getBuiltinCode() == BuiltinCode.MIN
|| ((Builtin) aop.aggOp.increOp.fn).getBuiltinCode() == BuiltinCode.MAX)
|| aop.aggOp.increOp.fn instanceof Mean
|| aop.aggOp.increOp.fn instanceof Multiply))) {
throw new DMLRuntimeException("Unsupported aggregation operator: "
+ aop.aggOp.increOp.getClass().getSimpleName());
}
try {
if(aop.aggOp.increOp.fn instanceof Multiply){
MatrixBlock ret = new MatrixBlock(ffr.length, 1, false);
MatrixBlock res = new MatrixBlock(0);
for(int i = 0; i < ffr.length; i++)
ret.setValue(i, 0, ((ScalarObject)ffr[i].get().getData()[0]).getDoubleValue());
LibMatrixAgg.aggregateUnaryMatrix(ret, res,
new AggregateUnaryOperator(new AggregateOperator(1, Multiply.getMultiplyFnObject()),
ReduceAll.getReduceAllFnObject()));
return new DoubleObject(res.quickGetValue(0, 0));
}
else if(aop.aggOp.increOp.fn instanceof Builtin){
// then we know it is a Min or Max based on the previous check.
boolean isMin = ((Builtin) aop.aggOp.increOp.fn).getBuiltinCode() == BuiltinCode.MIN;
return new DoubleObject(aggMinMax(ffr, isMin, true, Optional.empty()).getValue(0,0));
}
else if( aop.aggOp.increOp.fn instanceof Mean ) {
return new DoubleObject(aggMean(ffr, map).getValue(0,0));
}
else { //if (aop.aggOp.increOp.fn instanceof KahanFunction)
double sum = 0; //uak+
for( Future<FederatedResponse> fr : ffr )
sum += ((ScalarObject)fr.get().getData()[0]).getDoubleValue();
return new DoubleObject(sum);
}
}
catch(Exception ex) {
throw new DMLRuntimeException(ex);
}
}
public static boolean aggBooleanScalar(Future<FederatedResponse>[] tmp) {
boolean ret = false;
try {
for( Future<FederatedResponse> fr : tmp )
ret |= ((ScalarObject)fr.get().getData()[0]).getBooleanValue();
}
catch (Exception e) {
throw new DMLRuntimeException(e);
}
return ret;
}
public static MatrixBlock aggMatrix(AggregateUnaryOperator aop, Future<FederatedResponse>[] ffr, FederationMap map) {
if (aop.isRowAggregate() && map.getType() == FType.ROW)
return bind(ffr, false);
else if (aop.isColAggregate() && map.getType() == FType.COL)
return bind(ffr, true);
if (aop.aggOp.increOp.fn instanceof KahanFunction)
return aggAdd(ffr);
else if( aop.aggOp.increOp.fn instanceof Mean )
return aggMean(ffr, map);
else if(aop.aggOp.increOp.fn instanceof Multiply)
return aggProd(ffr, map, aop);
else if (aop.aggOp.increOp.fn instanceof Builtin) {
if ((((Builtin) aop.aggOp.increOp.fn).getBuiltinCode() == BuiltinCode.MIN ||
((Builtin) aop.aggOp.increOp.fn).getBuiltinCode() == BuiltinCode.MAX)) {
boolean isMin = ((Builtin) aop.aggOp.increOp.fn).getBuiltinCode() == BuiltinCode.MIN;
return aggMinMax(ffr,isMin,false, Optional.of(map.getType()));
}
else if((((Builtin) aop.aggOp.increOp.fn).getBuiltinCode() == BuiltinCode.MININDEX)
|| (((Builtin) aop.aggOp.increOp.fn).getBuiltinCode() == BuiltinCode.MAXINDEX)) {
boolean isMin = ((Builtin) aop.aggOp.increOp.fn).getBuiltinCode() == BuiltinCode.MININDEX;
return aggMinMaxIndex(ffr, isMin, map);
}
else throw new DMLRuntimeException("Unsupported aggregation operator: "
+ aop.aggOp.increOp.fn.getClass().getSimpleName());
}
else
throw new DMLRuntimeException("Unsupported aggregation operator: "
+ aop.aggOp.increOp.fn.getClass().getSimpleName());
}
public static FederationMap federateLocalData(CacheableData<?> data) {
long id = FederationUtils.getNextFedDataID();
FederatedLocalData federatedLocalData = new FederatedLocalData(id, data);
List<Pair<FederatedRange, FederatedData>> fedMap = new ArrayList<>();
fedMap.add(Pair.of(
new FederatedRange(new long[2], new long[] {data.getNumRows(), data.getNumColumns()}),
federatedLocalData));
return new FederationMap(id, fedMap);
}
/**
* Bind data from federated workers based on non-overlapping federated ranges.
* @param readResponses responses from federated workers containing the federated ranges and data
* @param dims dimensions of output MatrixBlock
* @return MatrixBlock of consolidated data
* @throws Exception in case of problems with getting data from responses
*/
public static MatrixBlock bindResponses(List<Pair<FederatedRange, Future<FederatedResponse>>> readResponses, long[] dims)
throws Exception
{
long totalNNZ = 0;
for(Pair<FederatedRange, Future<FederatedResponse>> readResponse : readResponses) {
FederatedResponse response = readResponse.getRight().get();
MatrixBlock multRes = (MatrixBlock) response.getData()[0];
totalNNZ += multRes.getNonZeros();
}
MatrixBlock ret = new MatrixBlock((int) dims[0], (int) dims[1], MatrixBlock.evalSparseFormatInMemory(dims[0], dims[1], totalNNZ));
for(Pair<FederatedRange, Future<FederatedResponse>> readResponse : readResponses) {
FederatedRange range = readResponse.getLeft();
FederatedResponse response = readResponse.getRight().get();
// add result
int[] beginDimsInt = range.getBeginDimsInt();
int[] endDimsInt = range.getEndDimsInt();
MatrixBlock multRes = (MatrixBlock) response.getData()[0];
ret.copy(beginDimsInt[0], endDimsInt[0] - 1, beginDimsInt[1], endDimsInt[1] - 1, multRes, false);
}
ret.setNonZeros(totalNNZ);
return ret;
}
/**
* Aggregate partially aggregated data from federated workers
* by adding values with the same index in different federated locations.
* @param readResponses responses from federated workers containing the federated data
* @return MatrixBlock of consolidated, aggregated data
*/
@SuppressWarnings("unchecked")
public static MatrixBlock aggregateResponses(List<Pair<FederatedRange, Future<FederatedResponse>>> readResponses) {
List<Future<FederatedResponse>> dataParts = new ArrayList<>();
for ( Pair<FederatedRange, Future<FederatedResponse>> readResponse : readResponses )
dataParts.add(readResponse.getValue());
return FederationUtils.aggAdd(dataParts.toArray(new Future[0]));
}
public static ObjectDecoder decoder() {
return new ObjectDecoder(Integer.MAX_VALUE,
ClassResolvers.weakCachingResolver(ClassLoader.getSystemClassLoader()));
}
public static long sumNonZeros(Future<FederatedResponse>[] responses) {
long nnz = 0;
try {
for( Future<FederatedResponse> r : responses)
nnz += (Long)r.get().getData()[0];
return nnz;
}
catch(Exception ex) { }
return -1;
}
}