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view src/LazyTensors/LazyTensors.jl @ 1207:f1c2a4fa0ee1 performance/get_region_type_inference
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author | Jonatan Werpers <jonatan@werpers.com> |
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date | Fri, 03 Feb 2023 22:14:47 +0100 |
parents | 93f87d5d9fbb |
children |
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module LazyTensors using Sbplib.RegionIndices export TensorApplication export TensorTranspose export TensorComposition export IdentityTensor export ScalingTensor export DiagonalTensor export DenseTensor export InflatedTensor export LazyOuterProduct export ⊗ export DomainSizeMismatch export RangeSizeMismatch include("lazy_tensor.jl") include("tensor_types.jl") include("lazy_array.jl") include("lazy_tensor_operations.jl") include("tuple_manipulation.jl") # Applying lazy tensors to vectors Base.:*(a::LazyTensor, v::AbstractArray) = TensorApplication(a,v) Base.:*(a::LazyTensor, b::LazyTensor) = throw(MethodError(Base.:*,(a,b))) Base.:*(a::LazyTensor, args::Union{LazyTensor, AbstractArray}...) = foldr(*,(a,args...)) # Addition and subtraction of lazy tensors Base.:+(s::LazyTensor, t::LazyTensor) = ElementwiseTensorOperation{:+}(s,t) Base.:-(s::LazyTensor, t::LazyTensor) = ElementwiseTensorOperation{:-}(s,t) # Composing lazy tensors Base.:∘(s::LazyTensor, t::LazyTensor) = TensorComposition(s,t) # Outer products of tensors ⊗(a::LazyTensor, b::LazyTensor) = LazyOuterProduct(a,b) end # module