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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.gpu;
/*
* Parses and processes the MMTSJ GPU Instruction
* @function GPUInstruction(...)
* @function parseInstruction(...)
* @function processInstruction(...)
* @function getMMTSJType(...)
*/
import org.apache.sysml.lops.MMTSJ.MMTSJType;
import org.apache.sysml.runtime.DMLRuntimeException;
import org.apache.sysml.runtime.controlprogram.caching.MatrixObject;
import org.apache.sysml.runtime.controlprogram.context.ExecutionContext;
import org.apache.sysml.runtime.instructions.InstructionUtils;
import org.apache.sysml.runtime.instructions.cp.CPOperand;
import org.apache.sysml.runtime.matrix.data.LibMatrixCUDA;
import org.apache.sysml.runtime.matrix.operators.Operator;
import org.apache.sysml.utils.GPUStatistics;
public class MMTSJGPUInstruction extends GPUInstruction {
private MMTSJType _type = null;
CPOperand _input;
CPOperand _output;
/**
* MMTSJGPUInstruction constructor.
*
* @param op
* operator
* @param in1
* input
* @param type
* left/right, left-> A' %*% A, right-> A %*% A'
* @param out
* output
* @param opcode
* the opcode
* @param istr
* ?
*/
private MMTSJGPUInstruction(Operator op, CPOperand in1, MMTSJType type, CPOperand out, String opcode, String istr) {
super(op, opcode, istr);
_gputype = GPUINSTRUCTION_TYPE.MMTSJ;
_type = type;
_input = in1;
_output = out;
}
/**
* parse MMTSJ GPU instruction
* @param str instruction string
* @return MMTSJGPUInstruction object
* @throws DMLRuntimeException if DMLRuntimeException occurs
*/
public static MMTSJGPUInstruction parseInstruction ( String str )
throws DMLRuntimeException
{
String[] parts = InstructionUtils.getInstructionPartsWithValueType(str);
InstructionUtils.checkNumFields ( parts, 3 );
String opcode = parts[0];
CPOperand in1 = new CPOperand(parts[1]);
CPOperand out = new CPOperand(parts[2]);
MMTSJType titype = MMTSJType.valueOf(parts[3]);
if(!opcode.equalsIgnoreCase("tsmm"))
throw new DMLRuntimeException("Unknown opcode while parsing an MMTSJGPUInstruction: " + str);
else
return new MMTSJGPUInstruction(new Operator(true), in1, titype, out, opcode, str);
}
/**
* process MMTSJ GPU instruction
* @param ec execution context
* @throws DMLRuntimeException if DMLRuntimeException occurs
*/
@Override
public void processInstruction(ExecutionContext ec)
throws DMLRuntimeException
{
GPUStatistics.incrementNoOfExecutedGPUInst();
//get input
MatrixObject mat = getMatrixInputForGPUInstruction(ec, _input.getName());
boolean isLeftTransposed = ( _type == MMTSJType.LEFT);
int rlen = (int) (isLeftTransposed? mat.getNumColumns() : mat.getNumRows());
int clen = rlen;
//execute operations
ec.setMetaData(_output.getName(), rlen, clen);
LibMatrixCUDA.matmultTSMM(ec, ec.getGPUContext(0), getExtendedOpcode(), mat, _output.getName(), isLeftTransposed);
ec.releaseMatrixInputForGPUInstruction(_input.getName());
ec.releaseMatrixOutputForGPUInstruction(_output.getName());
}
/**
* returns left/right depending on the type of MMTSJ instruction
* @return MMTSJType object
*/
public MMTSJType getMMTSJType()
{
return _type;
}
}