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https://gitlab.kitware.com/vtk/vtk-m
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fdaccc22db
Change the VTKM_CONT_EXPORT to VTKM_CONT. (Likewise for EXEC and EXEC_CONT.) Remove the inline from these macros so that they can be applied to everything, including implementations in a library. Because inline is not declared in these modifies, you have to add the keyword to functions and methods where the implementation is not inlined in the class.
153 lines
5.3 KiB
C++
153 lines
5.3 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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#ifndef VTKM_KERNELBASE_HPP
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#define VTKM_KERNELBASE_HPP
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#include <vtkm/Math.h>
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#include <vtkm/Types.h>
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namespace vtkm { namespace worklet {
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namespace splatkernels {
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// Vector class used in the kernels
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typedef vtkm::Vec<vtkm::Float64, 3> vector_type;
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// Pi compatibility
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#ifndef M_PI
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#define M_PI vtkm::Pi()
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#endif
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// templated utility to generate expansions at compile time for x^N
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template <vtkm::IdComponent N>
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inline VTKM_EXEC_CONT
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vtkm::Float64 PowerExpansion(vtkm::Float64 x)
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{
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return x * PowerExpansion<N-1>(x);
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}
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template <>
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inline VTKM_EXEC_CONT
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vtkm::Float64 PowerExpansion<1>(vtkm::Float64 x) { return x; }
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template <>
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inline VTKM_EXEC_CONT
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vtkm::Float64 PowerExpansion<0>(vtkm::Float64) { return 1; }
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//---------------------------------------------------------------------
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// Base class for Kernels
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// We use CRTP to avoid virtual function calls.
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template <typename Kernel>
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struct KernelBase
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{
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//---------------------------------------------------------------------
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// Constructor
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// Calculate coefficients used repeatedly when evaluating the kernel
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// value or gradient
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// The smoothing length is usually denoted as 'h' in SPH literature
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VTKM_EXEC_CONT
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KernelBase(double smoothingLength)
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: smoothingLength_(smoothingLength) {}
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//---------------------------------------------------------------------
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// The functions below are placeholders which should be provided by
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// concrete implementations of this class.
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// The KernelBase versions will not be called when algorithms are
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// templated over a concrete implementation.
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//---------------------------------------------------------------------
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//---------------------------------------------------------------------
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// compute w(h) for the given distance
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VTKM_EXEC_CONT
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double w(double distance) {
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return static_cast<Kernel*>(this)->w(distance);
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}
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//---------------------------------------------------------------------
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// compute w(h) for the given squared distance
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// this version takes the distance squared as a convenience/optimization
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// but not all implementations will benefit from it
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VTKM_EXEC_CONT
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double w2(double distance2) {
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return static_cast<Kernel*>(this)->w2(distance2);
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}
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//---------------------------------------------------------------------
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// compute w(h) for a variable h kernel
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// this is less efficient than the fixed radius version as coefficients
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// must be calculatd on the fly, but it is required when all particles
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// have different smoothing lengths
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VTKM_EXEC_CONT
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double w(double h, double distance) {
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return static_cast<Kernel*>(this)->w(h, distance);
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}
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//---------------------------------------------------------------------
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// compute w(h) for a variable h kernel using distance squared
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// this version takes the distance squared as a convenience/optimization
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VTKM_EXEC_CONT
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double w2(double h, double distance2) {
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return static_cast<Kernel*>(this)->w2(h, distance2);
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}
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//---------------------------------------------------------------------
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// Calculates the kernel derivative for a distance {x,y,z} vector
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// from the centre.
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VTKM_EXEC_CONT
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vector_type gradW(double distance, const vector_type& pos) {
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return static_cast<Kernel*>(this)->gradW(distance, pos);
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}
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// Calculates the kernel derivative at the given distance using a variable h value
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// this is less efficient than the fixed radius version as coefficients
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// must be calculatd on the fly
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VTKM_EXEC_CONT
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vector_type gradW(double h, double distance, const vector_type& pos) {
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return static_cast<Kernel*>(this)->gradW(h, distance, pos);
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}
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// return the multiplier between smoothing length and max cutoff distance
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VTKM_EXEC_CONT
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double getDilationFactor() const {
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return static_cast<Kernel*>(this)->getDilationFactor;
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}
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// return the maximum cutoff distance over which the kernel acts,
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// beyond this distance the kernel value is zero
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VTKM_EXEC_CONT
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double maxDistance() {
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return static_cast<Kernel*>(this)->maxDistance();
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}
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// return the maximum cutoff distance over which the kernel acts,
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// beyond this distance the kernel value is zero
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VTKM_EXEC_CONT
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double maxDistanceSquared() {
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return static_cast<Kernel*>(this)->maxDistanceSquared();
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}
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protected:
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const double smoothingLength_;
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};
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}}}
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#endif
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