def axis_left
bendtorch-core@0.1.0.0 · src/tensor/batched_matmul_PROOF.bend:617
import bendtorch-core@0.1.0.0/src/tensor/batched_matmul_PROOF.bend as BatchedMatmulPROOF
import Base
import bendtorch-core@0.1.0.0/src/shape/core.bend as Shape
import bendtorch-core@0.1.0.0/src/tensor/batched_matmul.bend as Batched
617def axis_left(+l: U32, +r: U32, decision: Shape.BoolCase<Nat.is_eq(U32.to_nat(l), 1n)>) ->
618 AxisMeaning(l, r, Batched.stretched(l, r, False{}, Nat.is_eq(U32.to_nat(l), 1n), Nat.is_eq(U32.to_nat(r), 1n))):
619 match decision:
620 case Shape.BTrue{+equal}:
621 %equal : AxisMeaning(l, r, Batched.stretched(l, r, False{}, _, Nat.is_eq(U32.to_nat(r), 1n)))
622 %equal : {U32.to_nat(r) == Bool.pick(Nat, _, U32.to_nat(r), U32.to_nat(l)) : Nat}
623 {==}
624 case Shape.BFalse{+equal}:
625 %equal : AxisMeaning(l, r, Batched.stretched(l, r, False{}, _, Nat.is_eq(U32.to_nat(r), 1n)))
626 axis_right(l, r, equal, Shape.bool_case(Nat.is_eq(U32.to_nat(r), 1n)))