| /* |
| * 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.sysds.runtime.instructions.gpu; |
| |
| import org.apache.sysds.lops.MMTSJ.MMTSJType; |
| import org.apache.sysds.runtime.DMLRuntimeException; |
| import org.apache.sysds.runtime.controlprogram.caching.MatrixObject; |
| import org.apache.sysds.runtime.controlprogram.context.ExecutionContext; |
| import org.apache.sysds.runtime.instructions.InstructionUtils; |
| import org.apache.sysds.runtime.instructions.cp.CPOperand; |
| import org.apache.sysds.runtime.matrix.data.LibMatrixCUDA; |
| import org.apache.sysds.runtime.matrix.operators.Operator; |
| import org.apache.sysds.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; |
| } |
| |
| public static MMTSJGPUInstruction parseInstruction ( String str ) |
| { |
| 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); |
| } |
| |
| @Override |
| public void processInstruction(ExecutionContext ec) { |
| GPUStatistics.incrementNoOfExecutedGPUInst(); |
| 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()); |
| } |
| |
| public MMTSJType getMMTSJType() { |
| return _type; |
| } |
| } |