Mercurial > repos > public > sbplib_julia
view src/LazyTensors/tensor_mapping.jl @ 347:0a95a829176c performance/lazy_elementwise_operation
lazy_array.jl: Bring back the concrete types in the LazyElementwiseOperation struct.
We went this to be able to avoid dynamic dispatch
author | Jonatan Werpers <jonatan@werpers.com> |
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date | Fri, 25 Sep 2020 21:51:14 +0200 |
parents | 01b851161018 |
children | 7fe43d902a27 |
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""" TensorMapping{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 apply(t::TensorMapping{T,R,D}, v::AbstractArray{T,D}, I::Vararg) where {R,D,T} The size of range tensor should be dependent on the size of the domain tensor and the type should implement the methods range_size(::TensorMapping{T,R,D}, domain_size::NTuple{D,Integer}) where {T,R,D} domain_size(::TensorMapping{T,R,D}, range_size::NTuple{R,Integer}) where {T,R,D} to allow querying for one or the other. Optionally the action of the transpose may be defined through apply_transpose(t::TensorMapping{T,R,D}, v::AbstractArray{T,D}, I::Vararg) where {R,D,T} """ abstract type TensorMapping{T,R,D} end export TensorMapping """ apply(t::TensorMapping{T,R,D}, v::AbstractArray{T,D}, I::Vararg) where {R,D,T} Return the result of the mapping for a given index. """ function apply end export apply """ apply_transpose(t::TensorMapping{T,R,D}, v::AbstractArray{T,R}, I::Vararg) where {R,D,T} Return the result of the transposed mapping for a given index. """ function apply_transpose end export apply_transpose """ Return the dimension of the range space of a given mapping """ range_dim(::TensorMapping{T,R,D}) where {T,R,D} = R """ Return the dimension of the domain space of a given mapping """ domain_dim(::TensorMapping{T,R,D}) where {T,R,D} = D export range_dim, domain_dim """ range_size(M::TensorMapping, domain_size) Return the resulting range size for the mapping applied to a given domain_size """ function range_size end """ domain_size(M::TensorMapping, range_size) Return the resulting domain size for the mapping applied to a given range_size """ function domain_size end """ Dummy type for representing dimensions of tensormappings when domain_size is unknown """ struct UnknownDim end export range_size, domain_size, TensorMappingDim, UnknownDim # TODO: Think about boundschecking! """ TensorOperator{T,D} A `TensorMapping{T,D,D}` where the range and domain tensor have the same number of dimensions and the same size. """ abstract type TensorOperator{T,D} <: TensorMapping{T,D,D} end export TensorOperator domain_size(::TensorOperator{T,D}, range_size::NTuple{D,Integer}) where {T,D} = range_size range_size(::TensorOperator{T,D}, domain_size::NTuple{D,Integer}) where {T,D} = domain_size