| /* |
| * 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.lops; |
| |
| |
| import org.apache.sysds.common.Types.DataType; |
| import org.apache.sysds.common.Types.ValueType; |
| import org.apache.sysds.lops.LopProperties.ExecType; |
| import org.apache.sysds.runtime.meta.MatrixCharacteristics; |
| |
| public class WeightedDivMM extends Lop |
| { |
| public static final String OPCODE = "mapwdivmm"; |
| public static final String OPCODE_CP = "wdivmm"; |
| private int _numThreads = 1; |
| |
| public enum WDivMMType { |
| DIV_LEFT, //t(t(U) %*% (W / U%*%t(V))) |
| DIV_RIGHT, //(W / U%*%t(V)) %*% V |
| DIV_LEFT_EPS, //t(t(U) %*% (W / (U%*%t(V) + x))) |
| DIV_RIGHT_EPS, //(W / (U%*%t(V) + x)) %*% V |
| MULT_BASIC, //(W * U%*%t(V)) |
| MULT_LEFT, //t(t(U) %*% (W * U%*%t(V))) |
| MULT_RIGHT, //(W * U%*%t(V)) %*% V |
| MULT_MINUS_LEFT, //t(t(U) %*% ((X!=0) * (U%*%t(V) - X))) |
| MULT_MINUS_RIGHT, //((X!=0) * (U%*%t(V) - X)) %*% V |
| MULT_MINUS_4_LEFT, //t(t(U) %*% (W * (U%*%t(V) - X))) |
| MULT_MINUS_4_RIGHT; //(W * (U%*%t(V) - X)) %*% V |
| |
| |
| public boolean isBasic(){ |
| return (this == MULT_BASIC); |
| } |
| public boolean isLeft() { |
| return (this == DIV_LEFT || this == DIV_LEFT_EPS || this == MULT_LEFT |
| || this == MULT_MINUS_LEFT || this == MULT_MINUS_4_LEFT); |
| } |
| public boolean isRight() { |
| return !(isLeft() || isBasic()); |
| } |
| public boolean isMult() { |
| return (this == MULT_LEFT || this == MULT_RIGHT || this == MULT_MINUS_LEFT || this == MULT_MINUS_RIGHT |
| || this == MULT_MINUS_4_LEFT || this == MULT_MINUS_4_RIGHT); |
| } |
| public boolean isMinus(){ |
| return (this == MULT_MINUS_LEFT || this == MULT_MINUS_RIGHT |
| || this == MULT_MINUS_4_LEFT || this == MULT_MINUS_4_RIGHT); |
| } |
| public boolean hasFourInputs() { |
| return (this == MULT_MINUS_4_LEFT || this == MULT_MINUS_4_RIGHT |
| || this == DIV_LEFT_EPS || this == DIV_RIGHT_EPS); |
| } |
| public boolean hasScalar() { |
| return (this == DIV_LEFT_EPS || this == DIV_RIGHT_EPS); |
| } |
| |
| public MatrixCharacteristics computeOutputCharacteristics(long Xrlen, long Xclen, long rank) { |
| if( isBasic() ) |
| return new MatrixCharacteristics( Xrlen, Xclen, -1, -1); |
| else |
| return new MatrixCharacteristics(isLeft()?Xclen:Xrlen, rank, -1, -1); |
| } |
| } |
| |
| private WDivMMType _weightsType = null; |
| |
| public WeightedDivMM(Lop input1, Lop input2, Lop input3, Lop input4, DataType dt, ValueType vt, WDivMMType wt, ExecType et) { |
| super(Lop.Type.WeightedDivMM, dt, vt); |
| addInput(input1); //W |
| addInput(input2); //U |
| addInput(input3); //V |
| addInput(input4); //X (optional) |
| input1.addOutput(this); |
| input2.addOutput(this); |
| input3.addOutput(this); |
| input4.addOutput(this); |
| |
| _weightsType = wt; |
| setupLopProperties(et); |
| } |
| |
| @Override |
| public String toString() { |
| return "Operation = WeightedDivMM"; |
| } |
| |
| /* CP/SPARK instruction generation */ |
| @Override |
| public String getInstructions(String input1, String input2, String input3, String input4, String output) |
| { |
| StringBuilder sb = new StringBuilder(); |
| |
| final ExecType et = getExecType(); |
| |
| sb.append(et); |
| |
| sb.append(Lop.OPERAND_DELIMITOR); |
| if( et == ExecType.CP ) |
| sb.append(OPCODE_CP); |
| else |
| sb.append(OPCODE); |
| |
| sb.append(Lop.OPERAND_DELIMITOR); |
| sb.append( getInputs().get(0).prepInputOperand(input1)); |
| |
| sb.append(Lop.OPERAND_DELIMITOR); |
| sb.append( getInputs().get(1).prepInputOperand(input2)); |
| |
| sb.append(Lop.OPERAND_DELIMITOR); |
| sb.append( getInputs().get(2).prepInputOperand(input3)); |
| |
| sb.append(Lop.OPERAND_DELIMITOR); |
| sb.append( getInputs().get(3).prepInputOperand(input4)); |
| |
| sb.append(Lop.OPERAND_DELIMITOR); |
| sb.append( prepOutputOperand(output)); |
| |
| sb.append(Lop.OPERAND_DELIMITOR); |
| sb.append(_weightsType); |
| |
| //append degree of parallelism |
| if( et == ExecType.CP ) { |
| sb.append( OPERAND_DELIMITOR ); |
| sb.append( _numThreads ); |
| } |
| |
| return sb.toString(); |
| } |
| |
| public void setNumThreads(int k) { |
| _numThreads = k; |
| } |
| } |