| /* |
| * 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.common.Types.DataType; |
| 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.instructions.cp.ScalarObject; |
| import org.apache.sysds.runtime.matrix.data.LibMatrixCUDA; |
| import org.apache.sysds.runtime.matrix.data.LibMatrixCuDNN; |
| import org.apache.sysds.runtime.matrix.operators.Operator; |
| import org.apache.sysds.utils.GPUStatistics; |
| |
| public class ScalarMatrixBuiltinGPUInstruction extends BuiltinBinaryGPUInstruction { |
| |
| protected ScalarMatrixBuiltinGPUInstruction(Operator op, CPOperand input1, CPOperand input2, CPOperand output, |
| String opcode, String istr, int _arity) { |
| super(op, input1, input2, output, opcode, istr, _arity); |
| _gputype = GPUINSTRUCTION_TYPE.BuiltinUnary; |
| } |
| |
| @Override |
| public void processInstruction(ExecutionContext ec) { |
| GPUStatistics.incrementNoOfExecutedGPUInst(); |
| |
| String opcode = getOpcode(); |
| CPOperand mat = ( input1.getDataType() == DataType.MATRIX ) ? input1 : input2; |
| CPOperand scalar = ( input1.getDataType() == DataType.MATRIX ) ? input2 : input1; |
| MatrixObject in1 = getMatrixInputForGPUInstruction(ec, mat.getName()); |
| ScalarObject constant = ec.getScalarInput(scalar); |
| |
| if(opcode.equals("max")) { |
| ec.setMetaData(output.getName(), in1.getNumRows(), in1.getNumColumns()); |
| double constVal = constant.getDoubleValue(); |
| if(constVal == 0) |
| LibMatrixCuDNN.relu(ec, ec.getGPUContext(0), getExtendedOpcode(), in1, output.getName()); |
| else |
| LibMatrixCUDA.matrixScalarOp(ec, ec.getGPUContext(0), getExtendedOpcode(), in1, output.getName(), false, |
| InstructionUtils.parseScalarBinaryOperator(opcode, false, constVal)); |
| } else if(opcode.equals("min")) { |
| ec.setMetaData(output.getName(), in1.getNumRows(), in1.getNumColumns()); |
| double constVal = constant.getDoubleValue(); |
| LibMatrixCUDA.matrixScalarOp(ec, ec.getGPUContext(0), getExtendedOpcode(), in1, output.getName(), false, |
| InstructionUtils.parseScalarBinaryOperator(opcode, false, constVal)); |
| } else { |
| throw new DMLRuntimeException("Unsupported GPU operator:" + opcode); |
| } |
| ec.releaseMatrixInputForGPUInstruction(mat.getName()); |
| ec.releaseMatrixOutputForGPUInstruction(output.getName()); |
| } |
| |
| } |