| /* |
| * 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.codegen; |
| |
| import jcuda.Pointer; |
| import org.apache.commons.logging.Log; |
| import org.apache.commons.logging.LogFactory; |
| import org.apache.sysds.api.DMLScript; |
| import org.apache.sysds.hops.codegen.SpoofCompiler; |
| import org.apache.sysds.runtime.controlprogram.caching.MatrixObject; |
| import org.apache.sysds.runtime.controlprogram.context.ExecutionContext; |
| import org.apache.sysds.runtime.instructions.cp.DoubleObject; |
| import org.apache.sysds.runtime.instructions.cp.ScalarObject; |
| import org.apache.sysds.runtime.matrix.data.LibMatrixCUDA; |
| |
| import java.util.ArrayList; |
| |
| public class SpoofCUDARowwise extends SpoofRowwise implements SpoofCUDAOperator { |
| private static final long serialVersionUID = 3080001135814944399L; |
| private static final Log LOG = LogFactory.getLog(SpoofCUDARowwise.class.getName()); |
| private final int ID; |
| private final PrecisionProxy call; |
| private final long ctx; |
| |
| public SpoofCUDARowwise(RowType type, long constDim2, boolean tB1, int reqVectMem, int id, |
| PrecisionProxy ep) |
| { |
| super(type, constDim2, tB1, reqVectMem); |
| ID = id; |
| call = ep; |
| ctx = SpoofCompiler.native_contexts.get(SpoofCompiler.GeneratorAPI.CUDA); |
| } |
| |
| @Override public String getName() { |
| return getSpoofType(); |
| } |
| |
| @Override |
| public ScalarObject execute(ExecutionContext ec, ArrayList<MatrixObject> inputs, |
| ArrayList<ScalarObject> scalarObjects) |
| { |
| double[] result = new double[1]; |
| Pointer[] ptr = new Pointer[1]; |
| packDataForTransfer(ec, inputs, scalarObjects, null, 1, ID, 0,_tB1, ptr); |
| if(call.exec(this) != 0) |
| LOG.error("SpoofCUDA " + getSpoofType() + " operator " + ID + " failed to execute!\n"); |
| |
| LibMatrixCUDA.cudaSupportFunctions.deviceToHost(ec.getGPUContext(0), ptr[0], result, getName(), false); |
| ec.getGPUContext(0).cudaFreeHelper(getSpoofType(), ptr[0], DMLScript.EAGER_CUDA_FREE); |
| return new DoubleObject(result[0]); |
| } |
| |
| @Override |
| public MatrixObject execute(ExecutionContext ec, ArrayList<MatrixObject> inputs, |
| ArrayList<ScalarObject> scalarObjects, String outputName) |
| { |
| int m = (int) inputs.get(0).getNumRows(); |
| int n = (int) inputs.get(0).getNumColumns(); |
| final int n2 = _type.isConstDim2(_constDim2) ? (int)_constDim2 : _type.isRowTypeB1() || |
| hasMatrixObjectSideInput(inputs) ? getMinColsMatrixObjectSideInputs(inputs) : -1; |
| OutputDimensions out_dims = new OutputDimensions(m, n, n2); |
| ec.setMetaData(outputName, out_dims.rows, out_dims.cols); |
| MatrixObject out_obj = ec.getDenseMatrixOutputForGPUInstruction(outputName, out_dims.rows, out_dims.cols, false).getKey(); |
| |
| packDataForTransfer(ec, inputs, scalarObjects, out_obj, 1, ID, 0,_tB1, null); |
| |
| if(call.exec(this) != 0) |
| LOG.error("SpoofCUDA " + getSpoofType() + " operator " + ID + " failed to execute!\n"); |
| |
| return out_obj; |
| } |
| |
| // unused |
| @Override protected void genexec(double[] a, int ai, SideInput[] b, double[] scalars, double[] c, int ci, int len, |
| long grix, int rix) { } |
| |
| // unused |
| @Override protected void genexec(double[] avals, int[] aix, int ai, SideInput[] b, double[] scalars, double[] c, |
| int ci, int alen, int n, long grix, int rix) { } |
| |
| public int execute_dp(long ctx) { return execute_d(ctx); } |
| public int execute_sp(long ctx) { return execute_f(ctx); } |
| public long getContext() { return ctx; } |
| |
| public static native int execute_d(long ctx); |
| public static native int execute_f(long ctx); |
| } |