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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.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.DataType;
import org.apache.sysml.parser.Expression.ValueType;
public class ConvolutionTransform extends Lop
{
public enum OperationTypes {
MAX_POOLING, MAX_POOLING_BACKWARD,
DIRECT_CONV2D, DIRECT_CONV2D_BACKWARD_FILTER, DIRECT_CONV2D_BACKWARD_DATA
};
private OperationTypes operation = null;
private int numThreads = -1;
/**
* Constructor when we have one input.
* @param input
* @param op
*/
public ConvolutionTransform(Lop input, ConvolutionTransform.OperationTypes op, DataType dt, ValueType vt, ExecType et, int k)
{
super(Lop.Type.Transform, dt, vt);
init(input, op, dt, vt, et);
numThreads = k;
}
public ConvolutionTransform(Lop input, ConvolutionTransform.OperationTypes op, DataType dt, ValueType vt)
{
super(Lop.Type.Transform, dt, vt);
init(input, op, dt, vt, ExecType.MR);
}
private void init (Lop input, ConvolutionTransform.OperationTypes op, DataType dt, ValueType vt, ExecType et)
{
operation = op;
this.addInput(input);
input.addOutput(this);
boolean breaksAlignment = true;
boolean aligner = false;
boolean definesMRJob = false;
if ( et == ExecType.MR ) {
throw new RuntimeException("The execution type is not supported: " + et.name());
}
else //CP/SPARK
{
// <code>breaksAlignment</code> is not meaningful when <code>Transform</code> executes in CP.
breaksAlignment = false;
lps.addCompatibility(JobType.INVALID);
lps.setProperties( inputs, et, ExecLocation.ControlProgram, breaksAlignment, aligner, definesMRJob );
}
}
@Override
public String toString() {
return " Operation: " + operation;
}
/**
* method to get operation type
* @return
*/
public OperationTypes getOperationType()
{
return operation;
}
private String getOpcode() {
switch(operation) {
case MAX_POOLING:
return "maxpooling";
case MAX_POOLING_BACKWARD:
return "maxpooling_backward";
case DIRECT_CONV2D:
return "conv2d";
case DIRECT_CONV2D_BACKWARD_FILTER:
return "conv2d_backward_filter";
case DIRECT_CONV2D_BACKWARD_DATA:
return "conv2d_backward_data";
default:
throw new UnsupportedOperationException(this.printErrorLocation() + "Instruction is not defined for Transform operation " + operation);
}
}
//CP instructions
// stride1, stride2, padding1, padding2
// input_shape1, input_shape2, input_shape3, input_shape4,
// filter_shape1, filter_shape2, filter_shape3, filter_shape4,
public String getInstructions(String input, String stride1, String stride2, String padding1, String padding2,
String input_shape1, String input_shape2, String input_shape3, String input_shape4,
String filter_shape1, String filter_shape2, String filter_shape3, String filter_shape4,
String output) throws LopsException {
//only used for im2col and col2im
StringBuilder sb = new StringBuilder();
sb.append( getExecType() );
sb.append( OPERAND_DELIMITOR );
sb.append( getOpcode() );
sb.append( OPERAND_DELIMITOR );
sb.append( getInputs().get(0).prepInputOperand(input));
//rows, cols, byrow
String[] inputX = new String[]{stride1, stride2, padding1, padding2,
input_shape1, input_shape2, input_shape3, input_shape4,
filter_shape1, filter_shape2, filter_shape3, filter_shape4};
for( int i=1; i<=(inputX.length); i++ ) {
Lop ltmp = getInputs().get(i);
sb.append( OPERAND_DELIMITOR );
sb.append( ltmp.prepScalarInputOperand(getExecType()));
}
//output
sb.append( OPERAND_DELIMITOR );
sb.append( this.prepOutputOperand(output));
//append degree of parallelism
if( getExecType()==ExecType.CP ) {
sb.append( OPERAND_DELIMITOR );
sb.append( numThreads );
}
return sb.toString();
}
public String getInstructions(String input, String dout, String stride1, String stride2, String padding1, String padding2,
String input_shape1, String input_shape2, String input_shape3, String input_shape4,
String filter_shape1, String filter_shape2, String filter_shape3, String filter_shape4,
String output) throws LopsException {
//only used for im2col and col2im
StringBuilder sb = new StringBuilder();
sb.append( getExecType() );
sb.append( OPERAND_DELIMITOR );
sb.append( getOpcode() );
sb.append( OPERAND_DELIMITOR );
sb.append( getInputs().get(0).prepInputOperand(input));
sb.append( OPERAND_DELIMITOR );
sb.append( getInputs().get(1).prepInputOperand(dout));
String[] inputX = new String[]{input, dout, stride1, stride2, padding1, padding2,
input_shape1, input_shape2, input_shape3, input_shape4,
filter_shape1, filter_shape2, filter_shape3, filter_shape4};
for( int i=2; i < inputX.length; i++ ) {
Lop ltmp = getInputs().get(i);
sb.append( OPERAND_DELIMITOR );
sb.append( ltmp.prepScalarInputOperand(getExecType()));
}
//output
sb.append( OPERAND_DELIMITOR );
sb.append( this.prepOutputOperand(output));
//append degree of parallelism
if( getExecType()==ExecType.CP ) {
sb.append( OPERAND_DELIMITOR );
sb.append( numThreads );
}
return sb.toString();
}
}