| /* |
| * 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.instructions.spark; |
| |
| |
| import org.apache.spark.api.java.JavaPairRDD; |
| import org.apache.spark.api.java.JavaRDD; |
| import org.apache.spark.api.java.function.Function; |
| import org.apache.sysds.lops.MMTSJ.MMTSJType; |
| import org.apache.sysds.runtime.DMLRuntimeException; |
| import org.apache.sysds.runtime.controlprogram.context.ExecutionContext; |
| import org.apache.sysds.runtime.controlprogram.context.SparkExecutionContext; |
| import org.apache.sysds.runtime.instructions.InstructionUtils; |
| import org.apache.sysds.runtime.instructions.cp.CPOperand; |
| import org.apache.sysds.runtime.instructions.spark.utils.RDDAggregateUtils; |
| import org.apache.sysds.runtime.matrix.data.MatrixBlock; |
| import org.apache.sysds.runtime.matrix.data.MatrixIndexes; |
| import org.apache.sysds.runtime.matrix.operators.Operator; |
| import scala.Tuple2; |
| |
| public class TsmmSPInstruction extends UnarySPInstruction { |
| private MMTSJType _type = null; |
| |
| private TsmmSPInstruction(Operator op, CPOperand in1, CPOperand out, MMTSJType type, String opcode, String istr) { |
| super(SPType.TSMM, op, in1, out, opcode, istr); |
| _type = type; |
| } |
| |
| public static TsmmSPInstruction parseInstruction( String str ) { |
| String parts[] = InstructionUtils.getInstructionPartsWithValueType(str); |
| String opcode = parts[0]; |
| //check supported opcode |
| if ( !opcode.equalsIgnoreCase("tsmm") ) |
| throw new DMLRuntimeException("TsmmSPInstruction.parseInstruction():: Unknown opcode " + opcode); |
| CPOperand in1 = new CPOperand(parts[1]); |
| CPOperand out = new CPOperand(parts[2]); |
| MMTSJType type = MMTSJType.valueOf(parts[3]); |
| return new TsmmSPInstruction(null, in1, out, type, opcode, str); |
| } |
| |
| @Override |
| public void processInstruction(ExecutionContext ec) { |
| SparkExecutionContext sec = (SparkExecutionContext)ec; |
| |
| //get input |
| JavaPairRDD<MatrixIndexes,MatrixBlock> in = sec.getBinaryMatrixBlockRDDHandleForVariable( input1.getName() ); |
| |
| //execute tsmm instruction (always produce exactly one output block) |
| //(this formulation with values() requires --conf spark.driver.maxResultSize=0) |
| JavaRDD<MatrixBlock> tmp = in.map(new RDDTSMMFunction(_type)); |
| MatrixBlock out = RDDAggregateUtils.sumStable(tmp); |
| |
| //put output block into symbol table (no lineage because single block) |
| //this also includes implicit maintenance of matrix characteristics |
| sec.setMatrixOutput(output.getName(), out); |
| } |
| |
| private static class RDDTSMMFunction implements Function<Tuple2<MatrixIndexes,MatrixBlock>, MatrixBlock> |
| { |
| private static final long serialVersionUID = 2935770425858019666L; |
| |
| private MMTSJType _type = null; |
| |
| public RDDTSMMFunction( MMTSJType type ) { |
| _type = type; |
| } |
| |
| @Override |
| public MatrixBlock call( Tuple2<MatrixIndexes,MatrixBlock> arg0 ) |
| throws Exception |
| { |
| //execute transpose-self matrix multiplication |
| return arg0._2().transposeSelfMatrixMultOperations(new MatrixBlock(), _type); |
| } |
| } |
| |
| } |