/* * 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 ? */ public 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(), 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; } }