Mercurial > repos > public > sbplib_julia
comparison LazyTensors/src/lazy_operations.jl @ 194:d30d42a11566 boundary_conditions
Move all Lazy operation into the same module
author | Jonatan Werpers <jonatan@werpers.com> |
---|---|
date | Thu, 20 Jun 2019 23:11:30 +0200 |
parents | 8964b3165097 |
children | 5413067d2c4a |
comparison
equal
deleted
inserted
replaced
193:2d97c54fd1f1 | 194:d30d42a11566 |
---|---|
53 # TODO: We need to be really careful about good error messages. | 53 # TODO: We need to be really careful about good error messages. |
54 # For example what happens if you try to multiply LazyTensorMappingApplication with a TensorMapping(wrong order)? | 54 # For example what happens if you try to multiply LazyTensorMappingApplication with a TensorMapping(wrong order)? |
55 | 55 |
56 | 56 |
57 | 57 |
58 """ | |
59 LazyElementwiseOperation{T,D,Op, T1<:AbstractArray{T,D}, T2 <: AbstractArray{T,D}} <: AbstractArray{T,D} | |
60 | |
61 Struct allowing for lazy evaluation of elementwise operations on AbstractArrays. | |
62 | |
63 A LazyElementwiseOperation contains two AbstractArrays of equal size, | |
64 together with an operation. The operations are carried out when the | |
65 LazyElementwiseOperation is indexed. | |
66 """ | |
67 struct LazyElementwiseOperation{T,D,Op, T1<:AbstractArray{T,D}, T2 <: AbstractArray{T,D}} <: AbstractArray{T,D} | |
68 a::T1 | |
69 b::T2 | |
70 | |
71 function LazyElementwiseOperation{T,D,Op}(a::T1,b::T2) where {T,D,Op, T1<:AbstractArray{T,D}, T2<:AbstractArray{T,D}} | |
72 return new{T,D,Op,T1,T2}(a,b) | |
73 end | |
74 end | |
75 | |
76 Base.size(v::LazyElementwiseOperation) = size(v.a) | |
77 | |
78 # TODO: Make sure boundschecking is done properly and that the lenght of the vectors are equal | |
79 # NOTE: Boundschecking in getindex functions now assumes that the size of the | |
80 # vectors in the LazyElementwiseOperation are the same size. If we remove the | |
81 # size assertion in the constructor we might have to handle | |
82 # boundschecking differently. | |
83 Base.@propagate_inbounds @inline function Base.getindex(leo::LazyElementwiseOperation{T,D,:+}, I...) where {T,D} | |
84 @boundscheck if !checkbounds(Bool,leo.a,I...) | |
85 throw(BoundsError([leo],[I...])) | |
86 end | |
87 return leo.a[I...] + leo.b[I...] | |
88 end | |
89 Base.@propagate_inbounds @inline function Base.getindex(leo::LazyElementwiseOperation{T,D,:-}, I...) where {T,D} | |
90 @boundscheck if !checkbounds(Bool,leo.a,I...) | |
91 throw(BoundsError([leo],[I...])) | |
92 end | |
93 return leo.a[I...] - leo.b[I...] | |
94 end | |
95 Base.@propagate_inbounds @inline function Base.getindex(leo::LazyElementwiseOperation{T,D,:*}, I...) where {T,D} | |
96 @boundscheck if !checkbounds(Bool,leo.a,I...) | |
97 throw(BoundsError([leo],[I...])) | |
98 end | |
99 return leo.a[I...] * leo.b[I...] | |
100 end | |
101 Base.@propagate_inbounds @inline function Base.getindex(leo::LazyElementwiseOperation{T,D,:/}, I...) where {T,D} | |
102 @boundscheck if !checkbounds(Bool,leo.a,I...) | |
103 throw(BoundsError([leo],[I...])) | |
104 end | |
105 return leo.a[I...] / leo.b[I...] | |
106 end | |
107 | |
108 # Define lazy operations for AbstractArrays. Operations constructs a LazyElementwiseOperation which | |
109 # can later be indexed into. Lazy operations are denoted by the usual operator followed by a tilde | |
110 @inline +̃(a::AbstractArray{T,D},b::AbstractArray{T,D}) where {T,D} = LazyElementwiseOperation{T,D,:+}(a,b) | |
111 @inline -̃(a::AbstractArray{T,D},b::AbstractArray{T,D}) where {T,D} = LazyElementwiseOperation{T,D,:-}(a,b) | |
112 @inline *̃(a::AbstractArray{T,D},b::AbstractArray{T,D}) where {T,D} = LazyElementwiseOperation{T,D,:*}(a,b) | |
113 @inline /̃(a::AbstractArray{T,D},b::AbstractArray{T,D}) where {T,D} = LazyElementwiseOperation{T,D,:/}(a,b) | |
114 | |
115 # Abstract type for which the normal operations are defined by their | |
116 # lazy counterparts | |
117 abstract type LazyArray{T,D} <: AbstractArray{T,D} end; | |
118 | |
119 Base.:+(a::LazyArray{T,D},b::AbstractArray{T,D}) where {T,D} = a +̃ b | |
120 Base.:+(a::AbstractArray{T,D}, b::LazyArray{T,D}) where {T,D} = b + a | |
121 Base.:-(a::LazyArray{T,D},b::AbstractArray{T,D}) where {T,D} = a -̃ b | |
122 Base.:-(a::AbstractArray{T,D}, b::LazyArray{T,D}) where {T,D} = a -̃ b | |
123 Base.:*(a::LazyArray{T,D},b::AbstractArray{T,D}) where {T,D} = a *̃ b | |
124 Base.:*(a::AbstractArray{T,D},b::LazyArray{T,D}) where {T,D} = b * a | |
125 # TODO: / seems to be ambiguous | |
126 # Base.:/(a::LazyArray{T,D},b::AbstractArray{T,D}) where {T,D} = a /̃ b | |
127 # Base.:/(a::AbstractArray{T,D},b::LazyArray{T,D}) where {T,D} = a /̃ b | |
128 | |
129 export +̃, -̃, *̃, /̃, +, -, * #, / | |
130 | |
131 | |
132 | |
133 | |
134 | |
58 # TODO: Write tests and documentation for LazyTensorMappingComposition | 135 # TODO: Write tests and documentation for LazyTensorMappingComposition |
59 # struct LazyTensorMappingComposition{T,R,K,D} <: TensorMapping{T,R,D} | 136 # struct LazyTensorMappingComposition{T,R,K,D} <: TensorMapping{T,R,D} |
60 # t1::TensorMapping{T,R,K} | 137 # t1::TensorMapping{T,R,K} |
61 # t2::TensorMapping{T,K,D} | 138 # t2::TensorMapping{T,K,D} |
62 # end | 139 # end |