| /* |
| * 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.runtime.controlprogram.caching.MatrixObject; |
| import org.apache.sysds.runtime.controlprogram.context.ExecutionContext; |
| import org.apache.sysds.runtime.instructions.cp.CPOperand; |
| import org.apache.sysds.runtime.matrix.data.LibMatrixCUDA; |
| import org.apache.sysds.runtime.matrix.operators.BinaryOperator; |
| import org.apache.sysds.runtime.matrix.operators.Operator; |
| import org.apache.sysds.utils.GPUStatistics; |
| |
| public class MatrixMatrixArithmeticGPUInstruction extends ArithmeticBinaryGPUInstruction { |
| |
| protected MatrixMatrixArithmeticGPUInstruction(Operator op, CPOperand in1, CPOperand in2, CPOperand out, |
| String opcode, String istr) { |
| super(op, in1, in2, out, opcode, istr); |
| } |
| |
| @Override |
| public void processInstruction(ExecutionContext ec) { |
| GPUStatistics.incrementNoOfExecutedGPUInst(); |
| |
| MatrixObject in1 = getMatrixInputForGPUInstruction(ec, _input1.getName()); |
| MatrixObject in2 = getMatrixInputForGPUInstruction(ec, _input2.getName()); |
| |
| //TODO: make hop level changes for this |
| boolean isLeftTransposed = false; |
| boolean isRightTransposed = false; |
| |
| long rlen1 = in1.getNumRows(); |
| long clen1 = in1.getNumColumns(); |
| long rlen2 = in2.getNumRows(); |
| long clen2 = in2.getNumColumns(); |
| |
| // Assume ordinary binary op |
| long rlen = rlen1; |
| long clen = clen1; |
| |
| // Outer binary op ( [100,1] + [1,100] or [100,100] + [100,1] |
| if (rlen1 != rlen2 || clen1 != clen2){ |
| rlen = rlen1 > rlen2 ? rlen1 : rlen2; |
| clen = clen1 > clen2 ? clen1 : clen2; |
| } |
| |
| ec.setMetaData(_output.getName(), (int)rlen, (int)clen); |
| |
| BinaryOperator bop = (BinaryOperator) _optr; |
| LibMatrixCUDA.matrixMatrixArithmetic(ec, ec.getGPUContext(0), getExtendedOpcode(), in1, in2, _output.getName(), isLeftTransposed, isRightTransposed, bop); |
| |
| ec.releaseMatrixInputForGPUInstruction(_input1.getName()); |
| ec.releaseMatrixInputForGPUInstruction(_input2.getName()); |
| ec.releaseMatrixOutputForGPUInstruction(_output.getName()); |
| } |
| } |