comparison ext/SbplibSparseArrayKitExt.jl @ 1725:8317252e4535

Merge feature/lazy_tensors/sparse_conversions
author Jonatan Werpers <jonatan@werpers.com>
date Thu, 05 Sep 2024 23:16:39 +0200
parents 7379f492c4b3
children
comparison
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1719:d81d0660b80d 1725:8317252e4535
1 module SbplibSparseArrayKitExt
2
3 using Sbplib
4 using Sbplib.LazyTensors
5
6 using SparseArrayKit
7 using Tokens
8
9 """
10 SparseArray(t::LazyTensor)
11
12 The sparse tensor representation of `t` with range dimensions to the left and
13 domain dimensions to the right. If `L` is a `LazyTensor` with range and
14 domain dimension 2 and `v` a 2-tensor, then `A = SparseArray(t)` is
15 constructed so that `∑ₖ∑ₗA[i,j,k,l]*v[k,l] == L*v`.
16 """
17 function SparseArrayKit.SparseArray(t::LazyTensor)
18 v = ArrayToken(:v, domain_size(t)...)
19 return Tokens._to_tensor(t*v, range_size(t), domain_size(t))
20 end
21
22 end