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annotate test/testLazyTensors.jl @ 347:0a95a829176c performance/lazy_elementwise_operation

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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>
date Fri, 25 Sep 2020 21:51:14 +0200
parents 2b0c9b30ea3b
children 7fe43d902a27
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1 using Test
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2 using Sbplib.LazyTensors
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3 using Sbplib.RegionIndices
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4
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5 @testset "LazyTensors" begin
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6
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7 @testset "Generic Mapping methods" begin
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8 struct DummyMapping{T,R,D} <: TensorMapping{T,R,D} end
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9 LazyTensors.apply(m::DummyMapping{T,R,D}, v, i::NTuple{R,Index{<:Region}}) where {T,R,D} = :apply
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10 @test range_dim(DummyMapping{Int,2,3}()) == 2
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11 @test domain_dim(DummyMapping{Int,2,3}()) == 3
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12 @test apply(DummyMapping{Int,2,3}(), zeros(Int, (0,0,0)),(Index{Unknown}(0),Index{Unknown}(0))) == :apply
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13 end
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14
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15 @testset "Generic Operator methods" begin
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16 struct DummyOperator{T,D} <: TensorOperator{T,D} end
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17 @test range_size(DummyOperator{Int,2}(), (3,5)) == (3,5)
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18 @test domain_size(DummyOperator{Float64, 3}(), (3,3,1)) == (3,3,1)
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19 end
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20
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21 @testset "Mapping transpose" begin
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22 struct DummyMapping{T,R,D} <: TensorMapping{T,R,D} end
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23
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24 LazyTensors.apply(m::DummyMapping{T,R,D}, v, I::Vararg{Index{<:Region},R}) where {T,R,D} = :apply
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25 LazyTensors.apply_transpose(m::DummyMapping{T,R,D}, v, I::Vararg{Index{<:Region},D}) where {T,R,D} = :apply_transpose
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26
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27 LazyTensors.range_size(m::DummyMapping{T,R,D}, domain_size::NTuple{D,Integer}) where {T,R,D} = :range_size
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28 LazyTensors.domain_size(m::DummyMapping{T,R,D}, range_size::NTuple{R,Integer}) where {T,R,D} = :domain_size
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30 m = DummyMapping{Float64,2,3}()
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31 I = Index{Unknown}(0)
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32 @test m' isa TensorMapping{Float64, 3,2}
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33 @test m'' == m
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34 @test apply(m',zeros(Float64,(0,0)), I, I, I) == :apply_transpose
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35 @test apply(m'',zeros(Float64,(0,0,0)), I, I) == :apply
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36 @test apply_transpose(m', zeros(Float64,(0,0,0)), I, I) == :apply
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38 @test range_size(m', (0,0)) == :domain_size
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39 @test domain_size(m', (0,0,0)) == :range_size
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40 end
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42 @testset "TensorApplication" begin
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43 struct DummyMapping{T,R,D} <: TensorMapping{T,R,D} end
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45 LazyTensors.apply(m::DummyMapping{T,R,D}, v, i::Vararg{Index{<:Region},R}) where {T,R,D} = (:apply,v,i)
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46 LazyTensors.range_size(m::DummyMapping{T,R,D}, domain_size::NTuple{D,Integer}) where {T,R,D} = 2 .* domain_size
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47 LazyTensors.domain_size(m::DummyMapping{T,R,D}, range_size::NTuple{R,Integer}) where {T,R,D} = range_size.÷2
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50 m = DummyMapping{Int, 1, 1}()
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51 v = [0,1,2]
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52 @test m*v isa AbstractVector{Int}
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53 @test size(m*v) == 2 .*size(v)
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54 @test (m*v)[Index{Upper}(0)] == (:apply,v,(Index{Upper}(0),))
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55 @test (m*v)[0] == (:apply,v,(Index{Unknown}(0),))
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56 @test m*m*v isa AbstractVector{Int}
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57 @test (m*m*v)[Index{Upper}(1)] == (:apply,m*v,(Index{Upper}(1),))
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58 @test (m*m*v)[1] == (:apply,m*v,(Index{Unknown}(1),))
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59 @test (m*m*v)[Index{Interior}(3)] == (:apply,m*v,(Index{Interior}(3),))
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60 @test (m*m*v)[3] == (:apply,m*v,(Index{Unknown}(3),))
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61 @test (m*m*v)[Index{Lower}(6)] == (:apply,m*v,(Index{Lower}(6),))
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62 @test (m*m*v)[6] == (:apply,m*v,(Index{Unknown}(6),))
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63 @test_broken BoundsError == (m*m*v)[0]
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64 @test_broken BoundsError == (m*m*v)[7]
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65
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66 m = DummyMapping{Int, 2, 1}()
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67 @test_throws MethodError m*ones(Int,2,2)
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68 @test_throws MethodError m*m*v
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69
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70 m = DummyMapping{Float64, 2, 2}()
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71 v = ones(3,3)
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72 I = (Index{Lower}(1),Index{Interior}(2));
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73 @test size(m*v) == 2 .*size(v)
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74 @test (m*v)[I] == (:apply,v,I)
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75
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76 struct ScalingOperator{T,D} <: TensorOperator{T,D}
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77 λ::T
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78 end
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79
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80 LazyTensors.apply(m::ScalingOperator{T,D}, v, I::Vararg{Index,D}) where {T,D} = m.λ*v[I]
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81
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82 m = ScalingOperator{Int,1}(2)
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83 v = [1,2,3]
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84 @test m*v isa AbstractVector
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85 @test m*v == [2,4,6]
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86
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87 m = ScalingOperator{Int,2}(2)
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88 v = [[1 2];[3 4]]
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89 @test m*v == [[2 4];[6 8]]
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90 I = (Index{Upper}(2),Index{Lower}(1))
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91 @test (m*v)[I] == 6
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92 end
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93
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94 @testset "TensorMapping binary operations" begin
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95 struct ScalarMapping{T,R,D} <: TensorMapping{T,R,D}
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96 λ::T
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97 end
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98
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99 LazyTensors.apply(m::ScalarMapping{T,R,D}, v, I::Vararg{Index{<:Region}}) where {T,R,D} = m.λ*v[I...]
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100 LazyTensors.range_size(m::ScalarMapping, domain_size) = domain_size
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101 LazyTensors.domain_size(m::ScalarMapping, range_sizes) = range_sizes
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102
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103 A = ScalarMapping{Float64,1,1}(2.0)
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104 B = ScalarMapping{Float64,1,1}(3.0)
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105
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106 v = [1.1,1.2,1.3]
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107 for i ∈ eachindex(v)
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108 @test ((A+B)*v)[i] == 2*v[i] + 3*v[i]
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109 end
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110
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111 for i ∈ eachindex(v)
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112 @test ((A-B)*v)[i] == 2*v[i] - 3*v[i]
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113 end
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114
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115 @test range_size(A+B, (3,)) == range_size(A, (3,)) == range_size(B,(3,))
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116 @test domain_size(A+B, (3,)) == domain_size(A, (3,)) == domain_size(B,(3,))
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117 end
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118
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119 @testset "LazyArray" begin
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120 @testset "LazyConstantArray" begin
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121 @test LazyTensors.LazyConstantArray(3,(3,2)) isa LazyArray{Int,2}
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122
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123 lca = LazyTensors.LazyConstantArray(3.0,(3,2))
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124 @test eltype(lca) == Float64
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125 @test ndims(lca) == 2
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126 @test size(lca) == (3,2)
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127 @test lca[2] == 3.0
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128 end
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129 struct DummyArray{T,D, T1<:AbstractArray{T,D}} <: LazyArray{T,D}
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130 data::T1
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131 end
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132 Base.size(v::DummyArray) = size(v.data)
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133 Base.getindex(v::DummyArray{T,D}, I::Vararg{Int,D}) where {T,D} = v.data[I...]
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134
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135 # Test lazy operations
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136 v1 = [1, 2.3, 4]
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137 v2 = [1., 2, 3]
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138 s = 3.4
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139 r_add_v = v1 .+ v2
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140 r_sub_v = v1 .- v2
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141 r_times_v = v1 .* v2
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142 r_div_v = v1 ./ v2
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143 r_add_s = v1 .+ s
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144 r_sub_s = v1 .- s
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145 r_times_s = v1 .* s
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146 r_div_s = v1 ./ s
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147 @test isa(v1 +̃ v2, LazyArray)
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148 @test isa(v1 -̃ v2, LazyArray)
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149 @test isa(v1 *̃ v2, LazyArray)
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150 @test isa(v1 /̃ v2, LazyArray)
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151 @test isa(v1 +̃ s, LazyArray)
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152 @test isa(v1 -̃ s, LazyArray)
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153 @test isa(v1 *̃ s, LazyArray)
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154 @test isa(v1 /̃ s, LazyArray)
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155 @test isa(s +̃ v1, LazyArray)
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156 @test isa(s -̃ v1, LazyArray)
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157 @test isa(s *̃ v1, LazyArray)
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158 @test isa(s /̃ v1, LazyArray)
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159 for i ∈ eachindex(v1)
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160 @test (v1 +̃ v2)[i] == r_add_v[i]
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161 @test (v1 -̃ v2)[i] == r_sub_v[i]
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162 @test (v1 *̃ v2)[i] == r_times_v[i]
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163 @test (v1 /̃ v2)[i] == r_div_v[i]
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164 @test (v1 +̃ s)[i] == r_add_s[i]
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165 @test (v1 -̃ s)[i] == r_sub_s[i]
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166 @test (v1 *̃ s)[i] == r_times_s[i]
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167 @test (v1 /̃ s)[i] == r_div_s[i]
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168 @test (s +̃ v1)[i] == r_add_s[i]
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169 @test (s -̃ v1)[i] == -r_sub_s[i]
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170 @test (s *̃ v1)[i] == r_times_s[i]
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171 @test (s /̃ v1)[i] == 1/r_div_s[i]
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172 end
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173 @test_throws BoundsError (v1 +̃ v2)[4]
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174 v2 = [1., 2, 3, 4]
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175 # Test that size of arrays is asserted when not specified inbounds
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176 @test_throws DimensionMismatch v1 +̃ v2
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177
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178 # Test operations on LazyArray
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179 v1 = DummyArray([1, 2.3, 4])
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180 v2 = [1., 2, 3]
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181 @test isa(v1 + v2, LazyArray)
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182 @test isa(v2 + v1, LazyArray)
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183 @test isa(v1 - v2, LazyArray)
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184 @test isa(v2 - v1, LazyArray)
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185 for i ∈ eachindex(v2)
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186 @test (v1 + v2)[i] == (v2 + v1)[i] == r_add_v[i]
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187 @test (v1 - v2)[i] == -(v2 - v1)[i] == r_sub_v[i]
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188 end
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189 @test_throws BoundsError (v1 + v2)[4]
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190 v2 = [1., 2, 3, 4]
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191 # Test that size of arrays is asserted when not specified inbounds
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192 @test_throws DimensionMismatch v1 + v2
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193 end
338
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194
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195 end