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comparison src/LazyTensors/LazyTensors.jl @ 1839:e1077273eda5 refactor/lazy_tensors/elementwise_ops

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Separate the logic of how TensorSum works from the semantics of + and -
author Jonatan Werpers <jonatan@werpers.com>
date Thu, 09 Jan 2025 22:12:26 +0100
parents 200971c71657
children
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1838:4bd998069053 1839:e1077273eda5
37 Base.:*(a::LazyTensor, args::Union{LazyTensor, AbstractArray}...) = foldr(*,(a,args...)) 37 Base.:*(a::LazyTensor, args::Union{LazyTensor, AbstractArray}...) = foldr(*,(a,args...))
38 38
39 # Addition and subtraction of lazy tensors 39 # Addition and subtraction of lazy tensors
40 Base.:+(ts::LazyTensor...) = TensorSum(ts...) 40 Base.:+(ts::LazyTensor...) = TensorSum(ts...)
41 Base.:-(t::LazyTensor) = TensorNegation(t) 41 Base.:-(t::LazyTensor) = TensorNegation(t)
42 Base.:-(s::LazyTensor, t::LazyTensor) = TensorSum(s,-t) 42 Base.:-(s::LazyTensor, t::LazyTensor) = s + (-t)
43 ## Specializations to flatten the nesting of tensors. This helps Julia during inference.
44 Base.:+(t::TensorSum, s::TensorSum) = TensorSum(t.tms..., s.tms...)
45 Base.:+(t::TensorSum, s::LazyTensor) = TensorSum(t.tms..., s)
46 Base.:+(t::LazyTensor, s::TensorSum) = TensorSum(t, s.tms...)
43 47
44 # Composing lazy tensors 48 # Composing lazy tensors
45 Base.:∘(s::LazyTensor, t::LazyTensor) = TensorComposition(s,t) 49 Base.:∘(s::LazyTensor, t::LazyTensor) = TensorComposition(s,t)
46 Base.:∘(s::TensorComposition, t::LazyTensor) = s.t1∘(s.t2∘t) 50 Base.:∘(s::TensorComposition, t::LazyTensor) = s.t1∘(s.t2∘t)
47 51