8859636672
VTK-m has been updated to replace old per device worklet testing executables with a device dependent shared library so that it's able to accept a device adapter at runtime. Meanwhile, it updates the testing infrastructure APIs. vtkm::cont::testing::Run function would call ForceDevice when needed and if users need the device adapter info at runtime, RunOnDevice function would pass the adapter into the functor. Optional Parser is bumped from 1.3 to 1.7.
197 lines
6.5 KiB
C++
197 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 National Technology & Engineering Solutions of Sandia, LLC (NTESS).
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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-NA0003525 with NTESS,
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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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#ifndef vtk_m_worklet_FieldStatistics_h
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#define vtk_m_worklet_FieldStatistics_h
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#include <vtkm/Math.h>
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#include <vtkm/cont/Algorithm.h>
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#include <vtkm/cont/ArrayHandle.h>
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#include <vtkm/cont/DeviceAdapterAlgorithm.h>
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#include <vtkm/worklet/DispatcherMapField.h>
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#include <vtkm/worklet/WorkletMapField.h>
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#include <vtkm/cont/Field.h>
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#include <stdio.h>
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namespace vtkm
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{
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namespace worklet
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{
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//simple functor that prints basic statistics
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template <typename FieldType>
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class FieldStatistics
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{
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public:
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// For moments readability
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static constexpr vtkm::Id FIRST = 0;
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static constexpr vtkm::Id SECOND = 1;
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static constexpr vtkm::Id THIRD = 2;
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static constexpr vtkm::Id FOURTH = 3;
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static constexpr vtkm::Id NUM_POWERS = 4;
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struct StatInfo
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{
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FieldType minimum;
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FieldType maximum;
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FieldType median;
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FieldType mean;
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FieldType variance;
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FieldType stddev;
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FieldType skewness;
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FieldType kurtosis;
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FieldType rawMoment[4];
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FieldType centralMoment[4];
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};
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class CalculatePowers : public vtkm::worklet::WorkletMapField
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{
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public:
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using ControlSignature = void(FieldIn<> value,
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FieldOut<> pow1Array,
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FieldOut<> pow2Array,
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FieldOut<> pow3Array,
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FieldOut<> pow4Array);
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using ExecutionSignature = void(_1, _2, _3, _4, _5);
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using InputDomain = _1;
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vtkm::Id numPowers;
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VTKM_CONT
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CalculatePowers(vtkm::Id num)
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: numPowers(num)
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{
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}
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VTKM_EXEC
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void operator()(const FieldType& value,
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FieldType& pow1,
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FieldType& pow2,
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FieldType& pow3,
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FieldType& pow4) const
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{
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pow1 = value;
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pow2 = pow1 * value;
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pow3 = pow2 * value;
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pow4 = pow3 * value;
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}
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};
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class SubtractConst : public vtkm::worklet::WorkletMapField
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{
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public:
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using ControlSignature = void(FieldIn<> value, FieldOut<> diff);
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using ExecutionSignature = _2(_1);
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using InputDomain = _1;
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FieldType constant;
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VTKM_CONT
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SubtractConst(const FieldType& constant0)
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: constant(constant0)
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{
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}
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VTKM_EXEC
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FieldType operator()(const FieldType& value) const { return (value - constant); }
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};
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template <typename Storage>
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void Run(vtkm::cont::ArrayHandle<FieldType, Storage> fieldArray, StatInfo& statinfo)
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{
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using DeviceAlgorithms = vtkm::cont::Algorithm;
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using FieldPortal = typename vtkm::cont::ArrayHandle<FieldType, Storage>::PortalConstControl;
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// Copy original data to array for sorting
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vtkm::cont::ArrayHandle<FieldType> tempArray;
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DeviceAlgorithms::Copy(fieldArray, tempArray);
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DeviceAlgorithms::Sort(tempArray);
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FieldPortal tempPortal = tempArray.GetPortalConstControl();
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vtkm::Id dataSize = tempPortal.GetNumberOfValues();
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FieldType numValues = static_cast<FieldType>(dataSize);
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// Median
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statinfo.median = tempPortal.Get(dataSize / 2);
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// Minimum and maximum
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const vtkm::Vec<FieldType, 2> initValue(tempPortal.Get(0));
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vtkm::Vec<FieldType, 2> result =
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DeviceAlgorithms::Reduce(fieldArray, initValue, vtkm::MinAndMax<FieldType>());
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statinfo.minimum = result[0];
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statinfo.maximum = result[1];
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// Mean
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FieldType sum = DeviceAlgorithms::ScanInclusive(fieldArray, tempArray);
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statinfo.mean = sum / numValues;
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statinfo.rawMoment[FIRST] = sum / numValues;
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// Create the power sum vector for each value
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vtkm::cont::ArrayHandle<FieldType> pow1Array, pow2Array, pow3Array, pow4Array;
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pow1Array.Allocate(dataSize);
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pow2Array.Allocate(dataSize);
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pow3Array.Allocate(dataSize);
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pow4Array.Allocate(dataSize);
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// Raw moments via Worklet
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vtkm::worklet::DispatcherMapField<CalculatePowers> calculatePowersDispatcher(
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CalculatePowers(4));
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calculatePowersDispatcher.Invoke(fieldArray, pow1Array, pow2Array, pow3Array, pow4Array);
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// Accumulate the results using ScanInclusive
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statinfo.rawMoment[FIRST] = DeviceAlgorithms::ScanInclusive(pow1Array, pow1Array) / numValues;
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statinfo.rawMoment[SECOND] = DeviceAlgorithms::ScanInclusive(pow2Array, pow2Array) / numValues;
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statinfo.rawMoment[THIRD] = DeviceAlgorithms::ScanInclusive(pow3Array, pow3Array) / numValues;
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statinfo.rawMoment[FOURTH] = DeviceAlgorithms::ScanInclusive(pow4Array, pow4Array) / numValues;
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// Subtract the mean from every value and leave in tempArray
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vtkm::worklet::DispatcherMapField<SubtractConst> subtractConstDispatcher(
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SubtractConst(statinfo.mean));
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subtractConstDispatcher.Invoke(fieldArray, tempArray);
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// Calculate sums of powers on the (value - mean) array
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calculatePowersDispatcher.Invoke(tempArray, pow1Array, pow2Array, pow3Array, pow4Array);
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// Accumulate the results using ScanInclusive
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statinfo.centralMoment[FIRST] =
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DeviceAlgorithms::ScanInclusive(pow1Array, pow1Array) / numValues;
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statinfo.centralMoment[SECOND] =
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DeviceAlgorithms::ScanInclusive(pow2Array, pow2Array) / numValues;
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statinfo.centralMoment[THIRD] =
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DeviceAlgorithms::ScanInclusive(pow3Array, pow3Array) / numValues;
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statinfo.centralMoment[FOURTH] =
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DeviceAlgorithms::ScanInclusive(pow4Array, pow4Array) / numValues;
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// Statistics from the moments
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statinfo.variance = statinfo.centralMoment[SECOND];
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statinfo.stddev = Sqrt(statinfo.variance);
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statinfo.skewness =
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statinfo.centralMoment[THIRD] / Pow(statinfo.stddev, static_cast<FieldType>(3.0));
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statinfo.kurtosis =
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statinfo.centralMoment[FOURTH] / Pow(statinfo.stddev, static_cast<FieldType>(4.0));
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}
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};
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}
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} // namespace vtkm::worklet
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#endif // vtk_m_worklet_FieldStatistics_h
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