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Declarative Machine Learning
/*
* 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.runtime.instructions.cp;
import org.apache.sysml.runtime.DMLRuntimeException;
import org.apache.sysml.runtime.controlprogram.context.ExecutionContext;
import org.apache.sysml.runtime.instructions.InstructionUtils;
import org.apache.sysml.runtime.matrix.data.MatrixBlock;
import org.apache.sysml.runtime.matrix.operators.Operator;
public class PMMJCPInstruction extends ComputationCPInstruction {
private final int _numThreads;
private PMMJCPInstruction(Operator op, CPOperand in1, CPOperand in2, CPOperand in3, CPOperand out, int k,
String opcode, String istr) {
super(CPType.AggregateBinary, op, in1, in2, in3, out, opcode, istr);
_numThreads = k;
}
public static PMMJCPInstruction parseInstruction ( String str )
throws DMLRuntimeException
{
String[] parts = InstructionUtils.getInstructionPartsWithValueType(str);
InstructionUtils.checkNumFields ( parts, 5 );
String opcode = parts[0];
CPOperand in1 = new CPOperand(parts[1]);
CPOperand in2 = new CPOperand(parts[2]);
CPOperand in3 = new CPOperand(parts[3]);
CPOperand out = new CPOperand(parts[4]);
int k = Integer.parseInt(parts[5]);
if(!opcode.equalsIgnoreCase("pmm"))
throw new DMLRuntimeException("Unknown opcode while parsing an PMMJCPInstruction: " + str);
else
return new PMMJCPInstruction(new Operator(true), in1, in2, in3, out, k, opcode, str);
}
@Override
public void processInstruction(ExecutionContext ec)
throws DMLRuntimeException
{
//get inputs
MatrixBlock matBlock1 = ec.getMatrixInput(input1.getName(), getExtendedOpcode());
MatrixBlock matBlock2 = ec.getMatrixInput(input2.getName(), getExtendedOpcode());
int rlen = (int)ec.getScalarInput(input3.getName(), input3.getValueType(), input3.isLiteral()).getLongValue();
//execute operations
MatrixBlock ret = new MatrixBlock(rlen, matBlock2.getNumColumns(), matBlock2.isInSparseFormat());
matBlock1.permutationMatrixMultOperations(matBlock2, ret, null, _numThreads);
//set output and release inputs
ec.setMatrixOutput(output.getName(), ret, getExtendedOpcode());
ec.releaseMatrixInput(input1.getName(), getExtendedOpcode());
ec.releaseMatrixInput(input2.getName(), getExtendedOpcode());
}
}