/* * 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.sysml.lops; import org.apache.sysml.lops.LopProperties.ExecLocation; import org.apache.sysml.lops.LopProperties.ExecType; import org.apache.sysml.lops.compile.JobType; import org.apache.sysml.parser.Expression.DataType; import org.apache.sysml.parser.Expression.ValueType; public class ZeroOut extends Lop { private void init(Lop inputMatrix, Lop rowL, Lop rowU, Lop colL, Lop colU, long rowDim, long colDim, DataType dt, ValueType vt, ExecType et) { this.addInput(inputMatrix); this.addInput(rowL); this.addInput(rowU); this.addInput(colL); this.addInput(colU); inputMatrix.addOutput(this); rowL.addOutput(this); rowU.addOutput(this); colL.addOutput(this); colU.addOutput(this); boolean breaksAlignment = true; boolean aligner = false; boolean definesMRJob = false; if ( et == ExecType.MR ) { lps.addCompatibility(JobType.GMR); lps.addCompatibility(JobType.DATAGEN); lps.addCompatibility(JobType.MMCJ); lps.addCompatibility(JobType.MMRJ); this.lps.setProperties(inputs, et, ExecLocation.Map, breaksAlignment, aligner, definesMRJob); } else { lps.addCompatibility(JobType.INVALID); this.lps.setProperties(inputs, et, ExecLocation.ControlProgram, breaksAlignment, aligner, definesMRJob); } } public ZeroOut( Lop input, Lop rowL, Lop rowU, Lop colL, Lop colU, long rowDim, long colDim, DataType dt, ValueType vt, ExecType et) throws LopsException { super(Lop.Type.ZeroOut, dt, vt); init(input, rowL, rowU, colL, colU, rowDim, colDim, dt, vt, et); } private String getOpcode() { return "zeroOut"; } @Override public String getInstructions(String input, String rowl, String rowu, String coll, String colu, String output) throws LopsException { StringBuilder sb = new StringBuilder(); sb.append( getExecType() ); sb.append( OPERAND_DELIMITOR ); sb.append( getOpcode() ); sb.append( OPERAND_DELIMITOR ); sb.append( getInputs().get(0).prepInputOperand(input)); sb.append( OPERAND_DELIMITOR ); // rowl, rowu sb.append( getInputs().get(1).prepScalarInputOperand(getExecType())); sb.append( OPERAND_DELIMITOR ); sb.append( getInputs().get(2).prepScalarInputOperand(getExecType())); sb.append( OPERAND_DELIMITOR ); // coll, colu sb.append( getInputs().get(3).prepScalarInputOperand(getExecType())); sb.append( OPERAND_DELIMITOR ); sb.append( getInputs().get(4).prepScalarInputOperand(getExecType())); sb.append( OPERAND_DELIMITOR ); sb.append( this.prepOutputOperand(output)); return sb.toString(); } @Override public String getInstructions(int input_index1, int input_index2, int input_index3, int input_index4, int input_index5, int output_index) throws LopsException { /* * Example: B = A[row_l:row_u, col_l:col_u] * A - input matrix (input_index1) * row_l - lower bound in row dimension * row_u - upper bound in row dimension * col_l - lower bound in column dimension * col_u - upper bound in column dimension * * Since row_l,row_u,col_l,col_u are scalars, values for input_index(2,3,4,5) * will be equal to -1. They should be ignored and the scalar value labels must * be derived from input lops. */ return getInstructions( String.valueOf(input_index1), String.valueOf(input_index2), String.valueOf(input_index3), String.valueOf(input_index4), String.valueOf(input_index5), String.valueOf(output_index)); } @Override public String toString() { return "ZeroOut"; } }