def product_1023

bendtorch-core@0.1.0.0 · src/tensor/axis_algebra.bend:1103

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

1103def product_1023(+dims: List<&2, Nat>, length: {List.length(&2, Nat, dims) == 4n : Nat}) -> {Shape.numel(Axis.order(Nat, dims, [1n, 0n, 2n, 3n])) == Shape.numel(dims) : Nat}:
1104  match dims:
1105    case Nil{}:
1106      Empty.absurd({Shape.numel(Axis.order(Nat, Nil{}, [1n, 0n, 2n, 3n])) == Shape.numel(Nil{}) : Nat}, nat_clash(0n, 4n, length, {==}))
1107    case +x0 <> Nil{}:
1108      Empty.absurd({Shape.numel(Axis.order(Nat, x0 <> Nil{}, [1n, 0n, 2n, 3n])) == Shape.numel(x0 <> Nil{}) : Nat}, nat_clash(1n, 4n, length, {==}))
1109    case +x0 <> +x1 <> Nil{}:
1110      Empty.absurd({Shape.numel(Axis.order(Nat, x0 <> x1 <> Nil{}, [1n, 0n, 2n, 3n])) == Shape.numel(x0 <> x1 <> Nil{}) : Nat}, nat_clash(2n, 4n, length, {==}))
1111    case +x0 <> +x1 <> +x2 <> Nil{}:
1112      Empty.absurd({Shape.numel(Axis.order(Nat, x0 <> x1 <> x2 <> Nil{}, [1n, 0n, 2n, 3n])) == Shape.numel(x0 <> x1 <> x2 <> Nil{}) : Nat}, nat_clash(3n, 4n, length, {==}))
1113    case +x0 <> +x1 <> +x2 <> +x3 <> Nil{}:
1114      Equal.trans(Nat, Nat.mul(x1, Nat.mul(x0, Nat.mul(x2, Nat.mul(x3, 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)))), mul_swap(x1, x0, Nat.mul(x2, Nat.mul(x3, 1n))), {==})
1115    case +x0 <> +x1 <> +x2 <> +x3 <> +x4 <> +tail:
1116      Empty.absurd({Shape.numel(Axis.order(Nat, x0 <> x1 <> x2 <> x3 <> x4 <> tail, [1n, 0n, 2n, 3n])) == Shape.numel(x0 <> x1 <> x2 <> x3 <> x4 <> tail) : Nat}, nat_clash(5n+List.length(&2, Nat, tail), 4n, length, {==}))