blob: 6949188564c9466d260868d79702fb8251c476c9 [file] [log] [blame]
/*
* 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.ExecType;
import org.apache.sysds.runtime.instructions.InstructionUtils;
import java.util.ArrayList;
import org.apache.sysds.common.Types.DataType;
import org.apache.sysds.common.Types.OpOp2;
import org.apache.sysds.common.Types.ValueType;
/**
* Lop to perform binary operation. Both inputs must be matrices or vectors.
* Example - A = B + C, where B and C are matrices or vectors.
*/
public class Binary extends Lop
{
private OpOp2 operation;
private final int _numThreads;
/**
* Constructor to perform a binary operation.
*
* @param input1 low-level operator 1
* @param input2 low-level operator 2
* @param op operation type
* @param dt data type
* @param vt value type
* @param et exec type
*/
public Binary(Lop input1, Lop input2, OpOp2 op, DataType dt, ValueType vt, ExecType et) {
this(input1, input2, op, dt, vt, et, 1);
}
public Binary(Lop input1, Lop input2, OpOp2 op, DataType dt, ValueType vt, ExecType et, int k) {
super(Lop.Type.Binary, dt, vt);
init(input1, input2, op, dt, vt, et);
_numThreads = k;
}
private void init(Lop input1, Lop input2, OpOp2 op, DataType dt, ValueType vt, ExecType et) {
operation = op;
addInput(input1);
addInput(input2);
input1.addOutput(this);
input2.addOutput(this);
lps.setProperties( inputs, et);
}
@Override
public String toString() {
return " Operation: " + operation;
}
@Override
public Lop getBroadcastInput() {
if (getExecType() != ExecType.SPARK)
return null;
ArrayList<Lop> inputs = getInputs();
if (inputs.get(0).getDataType() == DataType.FRAME && inputs.get(1).getDataType() == DataType.MATRIX)
return inputs.get(1);
else
return null;
}
public OpOp2 getOperationType() {
return operation;
}
private String getOpcode() {
return operation.toString();
}
@Override
public String getInstructions(String input1, String input2, String output) {
String ret = InstructionUtils.concatOperands(
getExecType().name(), getOpcode(),
getInputs().get(0).prepInputOperand(input1),
getInputs().get(1).prepInputOperand(input2),
prepOutputOperand(output));
if ( getExecType() == ExecType.CP )
ret = InstructionUtils.concatOperands(ret, String.valueOf(_numThreads));
else if( getExecType() == ExecType.FED )
ret = InstructionUtils.concatOperands(ret, String.valueOf(_numThreads), _fedOutput.name());
return ret;
}
}