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...d_Finch.LogicExecutor(Finch.DefaultLogicOptimizer(Finch.LogicCompiler(:fast)), false).txt
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,50 @@ | ||
| +,-, *, / tests | ||
| julia> A = Tensor(Dense(SparseList(Element(0.0))), [0.0 0.0 4.4; 1.1 0.0 0.0; 2.2 0.0 5.5; 3.3 0.0 0.0]) | ||
| 4×3 Tensor{DenseLevel{Int64, SparseListLevel{Int64, Vector{Int64}, Vector{Int64}, ElementLevel{0.0, Float64, Int64, Vector{Float64}}}}}: | ||
| 0.0 0.0 4.4 | ||
| 1.1 0.0 0.0 | ||
| 2.2 0.0 5.5 | ||
| 3.3 0.0 0.0 | ||
| julia> A + 1 | ||
| 4×3 Tensor{DenseLevel{Int64, DenseLevel{Int64, ElementLevel{1.0, Float64, Int64, Vector{Float64}}}}}: | ||
| 1.0 1.0 5.4 | ||
| 2.1 1.0 1.0 | ||
| 3.2 1.0 6.5 | ||
| 4.3 1.0 1.0 | ||
| julia> 1 + A | ||
| 4×3 Tensor{DenseLevel{Int64, DenseLevel{Int64, ElementLevel{1.0, Float64, Int64, Vector{Float64}}}}}: | ||
| 1.0 1.0 5.4 | ||
| 2.1 1.0 1.0 | ||
| 3.2 1.0 6.5 | ||
| 4.3 1.0 1.0 | ||
| julia> A + A | ||
| 4×3 Tensor{DenseLevel{Int64, SparseDictLevel{Int64, Vector{Int64}, Vector{Int64}, Vector{Int64}, Dict{Tuple{Int64, Int64}, Int64}, Vector{Int64}, ElementLevel{0.0, Float64, Int64, Vector{Float64}}}}}: | ||
| 0.0 0.0 8.8 | ||
| 2.2 0.0 0.0 | ||
| 4.4 0.0 11.0 | ||
| 6.6 0.0 0.0 | ||
| julia> 2A | ||
| 4×3 Tensor{DenseLevel{Int64, SparseDictLevel{Int64, Vector{Int64}, Vector{Int64}, Vector{Int64}, Dict{Tuple{Int64, Int64}, Int64}, Vector{Int64}, ElementLevel{0.0, Float64, Int64, Vector{Float64}}}}}: | ||
| 0.0 0.0 8.8 | ||
| 2.2 0.0 0.0 | ||
| 4.4 0.0 11.0 | ||
| 6.6 0.0 0.0 | ||
| julia> A * 3 | ||
| 4×3 Tensor{DenseLevel{Int64, SparseDictLevel{Int64, Vector{Int64}, Vector{Int64}, Vector{Int64}, Dict{Tuple{Int64, Int64}, Int64}, Vector{Int64}, ElementLevel{0.0, Float64, Int64, Vector{Float64}}}}}: | ||
| 0.0 0.0 13.2 | ||
| 3.3 0.0 0.0 | ||
| 6.6 0.0 16.5 | ||
| 9.9 0.0 0.0 | ||
| julia> A / 3 | ||
| 4×3 Tensor{DenseLevel{Int64, SparseDictLevel{Int64, Vector{Int64}, Vector{Int64}, Vector{Int64}, Dict{Tuple{Int64, Int64}, Int64}, Vector{Int64}, ElementLevel{0.0, Float64, Int64, Vector{Float64}}}}}: | ||
| 0.0 0.0 1.46667 | ||
| 0.366667 0.0 0.0 | ||
| 0.733333 0.0 1.83333 | ||
| 1.1 0.0 0.0 | ||
| julia> 3 / A | ||
| 4×3 Tensor{DenseLevel{Int64, DenseLevel{Int64, ElementLevel{Inf, Float64, Int64, Vector{Float64}}}}}: | ||
| Inf Inf 0.681818 | ||
| 2.72727 Inf Inf | ||
| 1.36364 Inf 0.545455 | ||
| 0.909091 Inf Inf | ||
|
|
50 changes: 50 additions & 0 deletions
50
...Finch.LogicExecutor(Finch.Galley.GalleyOptimizer(Finch.Galley.DCStats, false), false).txt
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,50 @@ | ||
| +,-, *, / tests | ||
| julia> A = Tensor(Dense(SparseList(Element(0.0))), [0.0 0.0 4.4; 1.1 0.0 0.0; 2.2 0.0 5.5; 3.3 0.0 0.0]) | ||
| 4×3 Tensor{DenseLevel{Int64, SparseListLevel{Int64, Vector{Int64}, Vector{Int64}, ElementLevel{0.0, Float64, Int64, Vector{Float64}}}}}: | ||
| 0.0 0.0 4.4 | ||
| 1.1 0.0 0.0 | ||
| 2.2 0.0 5.5 | ||
| 3.3 0.0 0.0 | ||
| julia> A + 1 | ||
| 4×3 Tensor{DenseLevel{Int32, DenseLevel{Int32, ElementLevel{1.0, Float64, Int64, Vector{Float64}}}}}: | ||
| 1.0 1.0 5.4 | ||
| 2.1 1.0 1.0 | ||
| 3.2 1.0 6.5 | ||
| 4.3 1.0 1.0 | ||
| julia> 1 + A | ||
| 4×3 Tensor{DenseLevel{Int32, DenseLevel{Int32, ElementLevel{1.0, Float64, Int64, Vector{Float64}}}}}: | ||
| 1.0 1.0 5.4 | ||
| 2.1 1.0 1.0 | ||
| 3.2 1.0 6.5 | ||
| 4.3 1.0 1.0 | ||
| julia> A + A | ||
| 4×3 Tensor{DenseLevel{Int32, DenseLevel{Int32, ElementLevel{0.0, Float64, Int64, Vector{Float64}}}}}: | ||
| 0.0 0.0 8.8 | ||
| 2.2 0.0 0.0 | ||
| 4.4 0.0 11.0 | ||
| 6.6 0.0 0.0 | ||
| julia> 2A | ||
| 4×3 Tensor{DenseLevel{Int32, DenseLevel{Int32, ElementLevel{0.0, Float64, Int64, Vector{Float64}}}}}: | ||
| 0.0 0.0 8.8 | ||
| 2.2 0.0 0.0 | ||
| 4.4 0.0 11.0 | ||
| 6.6 0.0 0.0 | ||
| julia> A * 3 | ||
| 4×3 Tensor{DenseLevel{Int32, DenseLevel{Int32, ElementLevel{0.0, Float64, Int64, Vector{Float64}}}}}: | ||
| 0.0 0.0 13.2 | ||
| 3.3 0.0 0.0 | ||
| 6.6 0.0 16.5 | ||
| 9.9 0.0 0.0 | ||
| julia> A / 3 | ||
| 4×3 Tensor{DenseLevel{Int32, DenseLevel{Int32, ElementLevel{0.0, Float64, Int64, Vector{Float64}}}}}: | ||
| 0.0 0.0 1.46667 | ||
| 0.366667 0.0 0.0 | ||
| 0.733333 0.0 1.83333 | ||
| 1.1 0.0 0.0 | ||
| julia> 3 / A | ||
| 4×3 Tensor{DenseLevel{Int32, DenseLevel{Int32, ElementLevel{Inf, Float64, Int64, Vector{Float64}}}}}: | ||
| Inf Inf 0.681818 | ||
| 2.72727 Inf Inf | ||
| 1.36364 Inf 0.545455 | ||
| 0.909091 Inf Inf | ||
|
|
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