AxisAlgebra.product_0321: def of bendtorch-core@0.1.0.0 Import: import bendtorch-core@0.1.0.0/src/tensor/axis_algebra.bend as AxisAlgebra Lines 1046-1059 of bendtorch-core@0.1.0.0/src/tensor/axis_algebra.bend: https://jend.leeeet.dev/read.txt?path=bendtorch-core@0.1.0.0/src/tensor/axis_algebra.bend&start_line=1046&end_line=1059 import Base import bendtorch-core@0.1.0.0/src/shape/core.bend as Shape import bendtorch-core@0.1.0.0/src/tensor/axis_spec.bend as Axis def product_0321(+dims: List<&2, Nat>, length: {List.length(&2, Nat, dims) == 4n : Nat}) -> {Shape.numel(Axis.order(Nat, dims, [0n, 3n, 2n, 1n])) == Shape.numel(dims) : Nat}: match dims: case Nil{}: Empty.absurd({Shape.numel(Axis.order(Nat, Nil{}, [0n, 3n, 2n, 1n])) == Shape.numel(Nil{}) : Nat}, nat_clash(0n, 4n, length, {==})) case +x0 <> Nil{}: Empty.absurd({Shape.numel(Axis.order(Nat, x0 <> Nil{}, [0n, 3n, 2n, 1n])) == Shape.numel(x0 <> Nil{}) : Nat}, nat_clash(1n, 4n, length, {==})) case +x0 <> +x1 <> Nil{}: Empty.absurd({Shape.numel(Axis.order(Nat, x0 <> x1 <> Nil{}, [0n, 3n, 2n, 1n])) == Shape.numel(x0 <> x1 <> Nil{}) : Nat}, nat_clash(2n, 4n, length, {==})) case +x0 <> +x1 <> +x2 <> Nil{}: Empty.absurd({Shape.numel(Axis.order(Nat, x0 <> x1 <> x2 <> Nil{}, [0n, 3n, 2n, 1n])) == Shape.numel(x0 <> x1 <> x2 <> Nil{}) : Nat}, nat_clash(3n, 4n, length, {==})) case +x0 <> +x1 <> +x2 <> +x3 <> Nil{}: Equal.trans(Nat, Nat.mul(x0, Nat.mul(x3, Nat.mul(x2, Nat.mul(x1, 1n)))), Nat.mul(x0, Nat.mul(x3, Nat.mul(x1, Nat.mul(x2, 1n)))), Nat.mul(x0, Nat.mul(x1, Nat.mul(x2, Nat.mul(x3, 1n)))), Equal.cong(Nat, Nat, value => Nat.mul(x0, Nat.mul(x3, value)), Nat.mul(x2, Nat.mul(x1, 1n)), Nat.mul(x1, Nat.mul(x2, 1n)), mul_swap(x2, x1, 1n)), Equal.trans(Nat, Nat.mul(x0, Nat.mul(x3, Nat.mul(x1, Nat.mul(x2, 1n)))), Nat.mul(x0, Nat.mul(x1, Nat.mul(x3, Nat.mul(x2, 1n)))), Nat.mul(x0, Nat.mul(x1, Nat.mul(x2, Nat.mul(x3, 1n)))), Equal.cong(Nat, Nat, value => Nat.mul(x0, value), Nat.mul(x3, Nat.mul(x1, Nat.mul(x2, 1n))), Nat.mul(x1, Nat.mul(x3, Nat.mul(x2, 1n))), mul_swap(x3, x1, Nat.mul(x2, 1n))), Equal.trans(Nat, Nat.mul(x0, Nat.mul(x1, Nat.mul(x3, Nat.mul(x2, 1n)))), Nat.mul(x0, Nat.mul(x1, Nat.mul(x2, Nat.mul(x3, 1n)))), Nat.mul(x0, Nat.mul(x1, Nat.mul(x2, Nat.mul(x3, 1n)))), Equal.cong(Nat, Nat, value => Nat.mul(x0, Nat.mul(x1, value)), Nat.mul(x3, Nat.mul(x2, 1n)), Nat.mul(x2, Nat.mul(x3, 1n)), mul_swap(x3, x2, 1n)), {==}))) case +x0 <> +x1 <> +x2 <> +x3 <> +x4 <> +tail: Empty.absurd({Shape.numel(Axis.order(Nat, x0 <> x1 <> x2 <> x3 <> x4 <> tail, [0n, 3n, 2n, 1n])) == Shape.numel(x0 <> x1 <> x2 <> x3 <> x4 <> tail) : Nat}, nat_clash(5n+List.length(&2, Nat, tail), 4n, length, {==})) Uses (11): https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Empty.absurd https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Equal.cong https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Equal.trans https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=List https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=List.length https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Nat https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Nat.mul https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/shape/core.bend&name=numel https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/tensor/axis_algebra.bend&name=mul_swap https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/tensor/axis_algebra.bend&name=nat_clash https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/tensor/axis_spec.bend&name=order