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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.spark;

import org.apache.sysml.runtime.DMLRuntimeException;
import org.apache.sysml.runtime.DMLUnsupportedOperationException;
import org.apache.sysml.runtime.controlprogram.context.ExecutionContext;
import org.apache.sysml.runtime.instructions.cp.CPOperand;
import org.apache.sysml.runtime.matrix.operators.Operator;

public class MatrixScalarBuiltinSPInstruction extends BuiltinBinarySPInstruction
{
	
	public MatrixScalarBuiltinSPInstruction(Operator op, CPOperand in1, CPOperand in2, CPOperand out, String opcode, String instr)
	{
		super(op, in1, in2, out, opcode, instr);
	}
	
	@Override 
	public void processInstruction(ExecutionContext ec) 
		throws DMLRuntimeException, DMLUnsupportedOperationException 
	{	
		//sanity check opcode
		String opcode = getOpcode();
		if ( !(opcode.equalsIgnoreCase("max") || opcode.equalsIgnoreCase("min"))
			 ||opcode.equalsIgnoreCase("log") || opcode.equalsIgnoreCase("log_nz") ) 
		{
			throw new DMLRuntimeException("Unknown opcode in instruction: " + opcode);
		}
		
		//common binary matrix-scalar process instruction
		super.processMatrixScalarBinaryInstruction(ec);
	}
}