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comparison src/SbpOperators/volumeops/volume_operator.jl @ 1073:5a3281429a48 feature/variable_derivatives

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Merge feature/variable_derivatives
author Jonatan Werpers <jonatan@werpers.com>
date Thu, 24 Mar 2022 12:35:14 +0100
parents 3bb94ce74697 14cb97284373
children 102ebdaf7c11
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1068:0b0444adacd3 1073:5a3281429a48
10 y-direction is `I⊗op⊗I`. 10 y-direction is `I⊗op⊗I`.
11 """ 11 """
12 function volume_operator(grid::EquidistantGrid, inner_stencil, closure_stencils, parity, direction) 12 function volume_operator(grid::EquidistantGrid, inner_stencil, closure_stencils, parity, direction)
13 #TODO: Check that direction <= Dim? 13 #TODO: Check that direction <= Dim?
14 14
15 # Create 1D volume operator in along coordinate direction
16 op = VolumeOperator(restrict(grid, direction), inner_stencil, closure_stencils, parity) 15 op = VolumeOperator(restrict(grid, direction), inner_stencil, closure_stencils, parity)
17 # Create 1D IdentityTensors for each coordinate direction 16 return LazyTensors.inflate(op, size(grid), direction)
18 one_d_grids = restrict.(Ref(grid), Tuple(1:dimension(grid)))
19 Is = IdentityTensor{eltype(grid)}.(size.(one_d_grids))
20 # Formulate the correct outer product sequence of the identity mappings and
21 # the volume operator
22 parts = Base.setindex(Is, op, direction)
23 return foldl(⊗, parts)
24 end 17 end
18 # TBD: Should the inflation happen here or should we remove this method and do it at the caller instead?
25 19
26 """ 20 """
27 VolumeOperator{T,N,M,K} <: TensorOperator{T,1} 21 VolumeOperator{T,N,M,K} <: LazyTensor{T,1,1}
28 Implements a one-dimensional constant coefficients volume operator 22 Implements a one-dimensional constant coefficients volume operator
29 """ 23 """
30 struct VolumeOperator{T,N,M,K} <: LazyTensor{T,1,1} 24 struct VolumeOperator{T,N,M,K} <: LazyTensor{T,1,1}
31 inner_stencil::Stencil{T,N} 25 inner_stencil::Stencil{T,N}
32 closure_stencils::NTuple{M,Stencil{T,K}} 26 closure_stencils::NTuple{M,Stencil{T,K}}
56 end 50 end
57 51
58 function LazyTensors.apply(op::VolumeOperator, v::AbstractVector, i) 52 function LazyTensors.apply(op::VolumeOperator, v::AbstractVector, i)
59 return LazyTensors.apply_with_region(op, v, closure_size(op), op.size[1], i) 53 return LazyTensors.apply_with_region(op, v, closure_size(op), op.size[1], i)
60 end 54 end
55 # TODO: Move this to LazyTensors when we have the region communication down.