def ce_targeted
bendtorch-core@0.1.0.0 · src/autograd/loss.bend:385
import bendtorch-core@0.1.0.0/src/autograd/loss.bend as Loss
import Base
import bendtorch-core@0.1.0.0/src/shape/core.bend as Shape
import bendtorch-core@0.1.0.0/src/tensor/core.bend as Core
385def ce_targeted(logits: Core.Dynamic, +rows: Nat, +columns: Nat, onehot: Result<&2, &1, Core.Error, Core.Dynamic>,
386 result: Shape.ConstructResult<[U32.from_nat(rows), 1]>) -> Core.Dynamic & Result<&2, &1, Error, Recorded>:
387 match onehot result:
388 case Fail{error} result:
389 (logits, Fail{TensorError{error}})
390 case Done{onehot} Shape.SError{error}:
391 (logits, Fail{TensorError{Core.ShapeError{error}}})
392 case Done{onehot} Shape.SBuilt{+target, preserved}:
393 ce_maxed(rows, onehot, target, row_maxes(logits, target, columns))