mirror of
https://gitlab.kitware.com/vtk/vtk-m
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9f624f0a36
Previously, coordinate systems in a DataSet simply pointed to field data specifying the coordinate information (although the ability to get that back out of the DataSet was missing). This makes sense since point coordinates are in fact just fields with a particular semantic meaning to them. However, there is an issue with this approach. It turns out that there are special representations that are very common for point coordinates and very uncommon for other types of fields. For example, a uniform (a.k.a. regular or image) grid has point coordinates that are easily derived from the point index, but such fields are quite uncommon elsewhere. Representing this kind of structure in the Field list of a DataSet is problematic. Either all fields have to check to see if they are this type, which will cause an explosion of unnecessary generated code, or you will have to actually write out the coordinates in memory, which is really wasteful but what was done previously. However, by storing fields representing coordinate systems in a separate batch, we can use these special types without the stated explosion.
162 lines
6.5 KiB
C++
162 lines
6.5 KiB
C++
//============================================================================
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// Copyright (c) Kitware, Inc.
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// All rights reserved.
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// See LICENSE.txt for details.
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// This software is distributed WITHOUT ANY WARRANTY; without even
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// the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
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// PURPOSE. See the above copyright notice for more information.
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//
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// Copyright 2014 Sandia Corporation.
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// Copyright 2014 UT-Battelle, LLC.
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// Copyright 2014 Los Alamos National Security.
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//
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// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
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// the U.S. Government retains certain rights in this software.
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//
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// Under the terms of Contract DE-AC52-06NA25396 with Los Alamos National
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// Laboratory (LANL), the U.S. Government retains certain rights in
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// this software.
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//============================================================================
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#include <iostream>
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#include <algorithm>
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#include <vtkm/worklet/PointElevation.h>
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#include <vtkm/worklet/DispatcherMapField.h>
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#include <vtkm/cont/DeviceAdapter.h>
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#include <vtkm/cont/DataSet.h>
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#include <vtkm/cont/testing/Testing.h>
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#include <vtkm/cont/testing/MakeTestDataSet.h>
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#include <vtkm/worklet/VertexClustering.h>
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template<typename T, vtkm::IdComponent N>
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vtkm::cont::ArrayHandle<T> copyFromVec( vtkm::cont::ArrayHandle< vtkm::Vec<T, N> > const& other)
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{
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const T *vmem = reinterpret_cast< const T *>(& *other.GetPortalConstControl().GetIteratorBegin());
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vtkm::cont::ArrayHandle<T> mem = vtkm::cont::make_ArrayHandle(vmem, other.GetNumberOfValues()*N);
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vtkm::cont::ArrayHandle<T> result;
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vtkm::cont::DeviceAdapterAlgorithm<VTKM_DEFAULT_DEVICE_ADAPTER_TAG>::Copy(mem,result);
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return result;
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}
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template<typename T, typename StorageTag>
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vtkm::cont::ArrayHandle<T> copyFromImplicit( vtkm::cont::ArrayHandle<T, StorageTag> const& other)
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{
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vtkm::cont::ArrayHandle<T> result;
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vtkm::cont::DeviceAdapterAlgorithm<VTKM_DEFAULT_DEVICE_ADAPTER_TAG>::Copy(other, result);
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return result;
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}
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vtkm::cont::DataSet RunVertexClustering(vtkm::cont::DataSet &dataSet,
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const vtkm::Float64 bounds[6],
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vtkm::Id nDivisions)
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{
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typedef vtkm::Vec<vtkm::Float64,3> PointType;
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// TODO: The VertexClustering operation needs some work. You should not have
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// to cast the cell set yourself (I don't think).
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vtkm::cont::CellSetExplicit<> &cellSet =
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dataSet.GetCellSet(0).CastTo<vtkm::cont::CellSetExplicit<> >();
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vtkm::cont::ArrayHandle<PointType> pointArray = dataSet.GetCoordinateSystem("coordinates").GetData().CastToArrayHandle<PointType, VTKM_DEFAULT_STORAGE_TAG>();
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vtkm::cont::ArrayHandle<vtkm::Id> pointIdArray = cellSet.GetConnectivityArray();
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vtkm::cont::ArrayHandle<vtkm::Id> indexOffsetArray = cellSet.GetIndexOffsetArray();
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vtkm::cont::ArrayHandle<PointType> output_pointArray ;
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vtkm::cont::ArrayHandle<vtkm::Id3> output_pointId3Array ;
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// run
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vtkm::worklet::VertexClustering<VTKM_DEFAULT_DEVICE_ADAPTER_TAG>().run(
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pointArray,
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pointIdArray,
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indexOffsetArray,
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bounds,
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nDivisions,
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output_pointArray,
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output_pointId3Array);
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vtkm::cont::DataSet newDataSet;
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newDataSet.AddCoordinateSystem(
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vtkm::cont::CoordinateSystem("coordinates", 0, output_pointArray));
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vtkm::Id cells = output_pointId3Array.GetNumberOfValues();
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if (cells > 0)
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{
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//typedef typename vtkm::cont::ArrayHandleConstant<vtkm::Id>::StorageTag ConstantStorage;
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//typedef typename vtkm::cont::ArrayHandleImplicit<vtkm::Id, CounterOfThree>::StorageTag CountingStorage;
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vtkm::cont::CellSetExplicit<> newCellSet("cells", 0);
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newCellSet.Fill(
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copyFromImplicit(vtkm::cont::make_ArrayHandleConstant<vtkm::Id>(vtkm::VTKM_TRIANGLE, cells)),
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copyFromImplicit(vtkm::cont::make_ArrayHandleConstant<vtkm::Id>(3, cells)),
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copyFromVec(output_pointId3Array)
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);
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newDataSet.AddCellSet(newCellSet);
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}
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return newDataSet;
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}
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void TestVertexClustering()
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{
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vtkm::Float64 bounds[6];
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const vtkm::Id divisions = 3;
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vtkm::cont::testing::MakeTestDataSet maker;
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vtkm::cont::DataSet dataSet = maker.Make3DExplicitDataSetCowNose(bounds);
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// run
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vtkm::cont::DataSet outDataSet = RunVertexClustering(dataSet, bounds, divisions);
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// test
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const vtkm::Id output_pointIds = 9;
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vtkm::Id output_pointId[output_pointIds] = {0,1,3, 1,5,4, 1,2,5};
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const vtkm::Id output_points = 6;
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vtkm::Float64 output_point[output_points][3] = {{0.0174716003,0.0501927994,0.0930275023}, {0.0320714004,0.14704667,0.0952706337}, {0.0268670674,0.246195346,0.119720004}, {0.00215422804,0.0340906903,0.180881709}, {0.0108188,0.152774006,0.167914003}, {0.0202241503,0.225427493,0.140208006}};
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VTKM_TEST_ASSERT(outDataSet.GetNumberOfCoordinateSystems() == 1,
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"Number of output coordinate systems mismatch");
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typedef vtkm::Vec<vtkm::Float64, 3> PointType;
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typedef vtkm::cont::ArrayHandle<PointType > PointArray;
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PointArray pointArray =
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outDataSet.GetCoordinateSystem(0).GetData().
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CastToArrayHandle<PointArray::ValueType, PointArray::StorageTag>();
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VTKM_TEST_ASSERT(pointArray.GetNumberOfValues() == output_points,
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"Number of output points mismatch" );
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for (vtkm::Id i = 0; i < pointArray.GetNumberOfValues(); ++i)
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{
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const PointType &p1 = pointArray.GetPortalConstControl().Get(i);
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PointType p2 = vtkm::make_Vec(output_point[i][0],
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output_point[i][1],
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output_point[i][2]);
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std::cout << "point: " << p1 << " " << p2 << std::endl;
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VTKM_TEST_ASSERT(test_equal(p1, p2), "Point Array mismatch");
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}
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VTKM_TEST_ASSERT(outDataSet.GetNumberOfCellSets() == 1, "Number of output cellsets mismatch");
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vtkm::cont::CellSetExplicit<> &cellSet =
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outDataSet.GetCellSet(0).CastTo<vtkm::cont::CellSetExplicit<> >();
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VTKM_TEST_ASSERT(
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cellSet.GetConnectivityArray().GetNumberOfValues() == output_pointIds,
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"Number of connectivity array elements mismatch");
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for (vtkm::Id i=0; i<cellSet.GetConnectivityArray().GetNumberOfValues(); i++)
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{
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vtkm::Id id1 = cellSet.GetConnectivityArray().GetPortalConstControl().Get(i) ;
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vtkm::Id id2 = output_pointId[i] ;
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std::cout << "pointid: " << id1 << " " << id2 << std::endl;
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//VTKM_TEST_ASSERT( id1 == id2, "Connectivity Array mismatch" ) ;
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}
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} // TestVertexClustering
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int UnitTestVertexClustering(int, char *[])
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{
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return vtkm::cont::testing::Testing::Run(TestVertexClustering);
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}
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