org.apache.sysml.runtime.instructions.cp.StringInitCPInstruction Maven / Gradle / Ivy

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Declarative Machine Learning
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/*
 * 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 java.util.StringTokenizer;

import org.apache.sysml.lops.DataGen;
import org.apache.sysml.lops.Lop;
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 StringInitCPInstruction extends UnaryCPInstruction
{
	
	private static final String DELIM = " ";
	
	private long _rlen = -1;
	private long _clen = -1;
	private String _data = null;
		
	public StringInitCPInstruction( Operator op, CPOperand in, CPOperand out, long rows, long cols, int rpb, int cpb, 
			                        String data, String opcode, String inst) 
	{
		super(op, in, out, opcode, inst);
		_rlen = rows;
		_clen = cols;
		_data = data;
	}

	public long getRows() {
		return _rlen;
	}
	
	public long getCols() {
		return _clen;
	}
	
	/**
	 * 
	 * @param str
	 * @return
	 * @throws DMLRuntimeException
	 */
	public static StringInitCPInstruction parseInstruction(String str) 
		throws DMLRuntimeException 
	{
		String opcode = InstructionUtils.getOpCode(str);
		if( !opcode.equals(DataGen.SINIT_OPCODE) )
			throw new DMLRuntimeException("Unsupported opcode: "+opcode);
		
		//parse instruction
		String[] s = InstructionUtils.getInstructionPartsWithValueType ( str );
		InstructionUtils.checkNumFields( s, 6 );
		
		CPOperand out = new CPOperand(s[s.length-1]); // output is specified by the last operand

		long rows = (s[1].contains( Lop.VARIABLE_NAME_PLACEHOLDER)?-1:Double.valueOf(s[1]).longValue());
		long cols = (s[2].contains( Lop.VARIABLE_NAME_PLACEHOLDER)?-1:Double.valueOf(s[2]).longValue());
        int rpb = Integer.parseInt(s[3]);
		int cpb = Integer.parseInt(s[4]);
		String data = s[5];
		
		return new StringInitCPInstruction(null, null, out, rows, cols, rpb, cpb, data, opcode, str);
	}
	
	@Override
	public void processInstruction( ExecutionContext ec )
		throws DMLRuntimeException
	{
		//setup output matrix
		String outName = output.getName();
		MatrixBlock outBlk = new MatrixBlock((int)_rlen, (int)_clen, false);
		
		//init tokenizer 
		StringTokenizer st = new StringTokenizer(_data, DELIM);
		int len = st.countTokens();
		
		//check consistent sizes
		if( len != _rlen*_clen )
			throw new DMLRuntimeException("Invalid matrix string intialization: dimensions=["+_rlen+"x"+_clen+"] vs numValues="+len);
		
		//parse input data string and init matrix
		for( int i=0; i