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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.lops;
import org.apache.sysml.lops.LopProperties.ExecLocation;
import org.apache.sysml.lops.LopProperties.ExecType;
import org.apache.sysml.lops.compile.JobType;
import org.apache.sysml.parser.Expression.*;
/**
* Lop to perform unary scalar operations. Example a = !b
*
*/
public class UnaryCP extends Lop
{
public enum OperationTypes {
NOT, ABS, SIN, COS, TAN, ASIN, ACOS, ATAN, SQRT, LOG, EXP, CAST_AS_SCALAR, CAST_AS_MATRIX, CAST_AS_DOUBLE, CAST_AS_INT, CAST_AS_BOOLEAN, PRINT, NROW, NCOL, LENGTH, ROUND, STOP, CEIL, FLOOR, CUMSUM, NOTSUPPORTED
};
public static final String CAST_AS_SCALAR_OPCODE = "castdts";
public static final String CAST_AS_MATRIX_OPCODE = "castdtm";
public static final String CAST_AS_DOUBLE_OPCODE = "castvtd";
public static final String CAST_AS_INT_OPCODE = "castvti";
public static final String CAST_AS_BOOLEAN_OPCODE = "castvtb";
OperationTypes operation;
/**
* Constructor to perform a scalar operation
*
* @param input
* @param op
*/
public UnaryCP(Lop input, OperationTypes op, DataType dt, ValueType vt) {
super(Lop.Type.UnaryCP, dt, vt);
operation = op;
this.addInput(input);
input.addOutput(this);
//This lop is executed in control program.
boolean breaksAlignment = false; // this does not carry any information
// for this lop
boolean aligner = false;
boolean definesMRJob = false;
lps.addCompatibility(JobType.INVALID);
this.lps.setProperties(inputs, ExecType.CP, ExecLocation.ControlProgram, breaksAlignment, aligner, definesMRJob);
}
@Override
public String toString() {
return "Operation: " + operation;
}
private String getOpCode() throws LopsException {
switch (operation) {
case NOT:
return "!";
case ABS:
return "abs";
case SIN:
return "sin";
case COS:
return "cos";
case TAN:
return "tan";
case ASIN:
return "asin";
case ACOS:
return "acos";
case ATAN:
return "atan";
case SQRT:
return "sqrt";
case LOG:
return "log";
case ROUND:
return "round";
case EXP:
return "exp";
case PRINT:
return "print";
case CAST_AS_MATRIX:
return CAST_AS_MATRIX_OPCODE;
case STOP:
return "stop";
case CEIL:
return "ceil";
case FLOOR:
return "floor";
case CUMSUM:
return "ucumk+";
// CAST_AS_SCALAR, NROW, NCOL, LENGTH builtins take matrix as the input
// and produces a scalar
case CAST_AS_SCALAR:
return CAST_AS_SCALAR_OPCODE;
case CAST_AS_DOUBLE:
return CAST_AS_DOUBLE_OPCODE;
case CAST_AS_INT:
return CAST_AS_INT_OPCODE;
case CAST_AS_BOOLEAN:
return CAST_AS_BOOLEAN_OPCODE;
case NROW:
return "nrow";
case NCOL:
return "ncol";
case LENGTH:
return "length";
default:
throw new LopsException(this.printErrorLocation() + "Unknown operation: " + operation);
}
}
@Override
public String getInstructions(String input, String output)
throws LopsException {
StringBuilder sb = new StringBuilder();
sb.append(getExecType());
sb.append( OPERAND_DELIMITOR );
sb.append( getOpCode() );
sb.append( OPERAND_DELIMITOR );
sb.append(getInputs().get(0).prepScalarInputOperand(getExecType()));
sb.append( OPERAND_DELIMITOR );
sb.append( this.prepOutputOperand(output));
return sb.toString();
}
}