| /* |
| * 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.lops.LopProperties.ExecType; |
| import org.apache.sysds.runtime.instructions.InstructionUtils; |
| 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 BinaryM extends Lop |
| { |
| public enum VectorType{ |
| COL_VECTOR, |
| ROW_VECTOR, |
| } |
| |
| private OpOp2 _operation; |
| private VectorType _vectorType = null; |
| |
| /** |
| * 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 |
| * @param colVector true if colVector |
| */ |
| public BinaryM(Lop input1, Lop input2, OpOp2 op, DataType dt, ValueType vt, ExecType et, boolean colVector ) { |
| super(Lop.Type.Binary, dt, vt); |
| |
| _operation = op; |
| _vectorType = colVector ? VectorType.COL_VECTOR : VectorType.ROW_VECTOR; |
| |
| addInput(input1); |
| addInput(input2); |
| input1.addOutput(this); |
| input2.addOutput(this); |
| |
| if(et == ExecType.SPARK) { |
| lps.setProperties( inputs, ExecType.SPARK); |
| } |
| else { |
| throw new LopsException("Incorrect execution type for BinaryM lop:" + et.name()); |
| } |
| } |
| |
| @Override |
| public String toString() { |
| return " Operation: " + _operation; |
| } |
| |
| public OpOp2 getOperationType() { |
| return _operation; |
| } |
| |
| private String getOpcode() { |
| return getOpcode(_operation); |
| } |
| |
| public static String getOpcode(OpOp2 op) { |
| return "map"+op.toString(); |
| } |
| |
| public static boolean isOpcode(String opcode) { |
| return opcode.equals("map+") || opcode.equals("map-") || |
| opcode.equals("map*") || opcode.equals("map/") || |
| opcode.equals("map%%") || opcode.equals("map%/%") || |
| opcode.equals("map<") || opcode.equals("map<=") || |
| opcode.equals("map>") || opcode.equals("map>=") || |
| opcode.equals("map==") || opcode.equals("map!=") || |
| opcode.equals("map&&") || opcode.equals("map||") || |
| opcode.equals("mapmin") || opcode.equals("mapmax") || |
| opcode.equals("map^") || opcode.equals("map1-*"); |
| } |
| |
| @Override |
| public String getInstructions(String input1, String input2, String output) { |
| return InstructionUtils.concatOperands( |
| getExecType().name(), |
| getOpcode(), |
| getInputs().get(0).prepInputOperand(input1), |
| getInputs().get(1).prepInputOperand(input2), |
| prepOutputOperand(output), |
| "RIGHT", |
| _vectorType.name()); |
| } |
| } |