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view src/LazyTensors/lazy_tensor.jl @ 2015:5c2448d6a201 feature/grids/geometry_functions tip
Structure tests a bit more
author | Jonatan Werpers <jonatan@werpers.com> |
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date | Fri, 09 May 2025 15:57:38 +0200 |
parents | dfb43fdac9fc |
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""" LazyTensor{T,R,D} Describes a mapping of a `D` dimension tensor to an `R` dimension tensor. The action of the mapping is implemented through the method ```julia apply(t::LazyTensor{T,R,D}, v::AbstractArray{<:Any,D}, I::Vararg) where {R,D,T} ``` The size of the range and domain that the operator works with should be returned by the functions ```julia range_size(::LazyTensor) domain_size(::LazyTensor) ``` to allow querying for one or the other. Optionally the action of the transpose may be defined through ```julia apply_transpose(t::LazyTensor{T,R,D}, v::AbstractArray{T,D}, I::Vararg) where {R,D,T} ``` """ abstract type LazyTensor{T,R,D} end """ apply(t::LazyTensor{T,R,D}, v::AbstractArray{<:Any,D}, I::Vararg) where {R,D,T} Return the result of the mapping for a given index. """ function apply end """ apply_transpose(t::LazyTensor{T,R,D}, v::AbstractArray{<:Any,R}, I::Vararg) where {R,D,T} Return the result of the transposed mapping for a given index. """ function apply_transpose end """ range_dim(::LazyTensor) Return the dimension of the range space of a given mapping """ range_dim(::LazyTensor{T,R,D}) where {T,R,D} = R """ domain_dim(::LazyTensor) Return the dimension of the domain space of a given mapping """ domain_dim(::LazyTensor{T,R,D}) where {T,R,D} = D """ range_size(M::LazyTensor) Return the range size for the mapping. """ function range_size end """ domain_size(M::LazyTensor) Return the domain size for the mapping. """ function domain_size end """ eltype(::LazyTensor{T}) The type of elements the LazyTensor acts on. """ Base.eltype(::LazyTensor{T}) where T = T