Loss.targets_fit: def of bendtorch-core@0.1.0.0
Import: import bendtorch-core@0.1.0.0/src/autograd/loss.bend as Loss
Lines 261-269 of bendtorch-core@0.1.0.0/src/autograd/loss.bend: https://jend.leeeet.dev/read.txt?path=bendtorch-core@0.1.0.0/src/autograd/loss.bend&start_line=261&end_line=269

import Base

# Whether every target is below `columns`, and there are `rows` of them.
def targets_fit(+targets: List<&2, U32>, +rows: Nat, +columns: Nat) -> Bool:
  match targets rows:
    case Nil{} 0n:
      True{}
    case Con{+target, +rest} 1n+below:
      Bool.and(Nat.is_lt(U32.to_nat(target), columns), targets_fit(rest, below, columns))
    case _ _:
      False{}

Uses (7):
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Bool
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Bool.and
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=List
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Nat
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Nat.is_lt
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=U32
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=U32.to_nat