type LogicalCell
bendtorch-core@0.1.0.0 · src/tensor/batched_matmul_LAWS.bend:223
import bendtorch-core@0.1.0.0/src/tensor/batched_matmul_LAWS.bend as BatchedMatmulLAWS
import Base
import bendtorch-core@0.1.0.0/src/tensor/matmul.bend as Matrix
import bendtorch-core@0.1.0.0/src/tensor/dot_fold.bend as DotFold
223type LogicalCell<-dl: Nat, -dr: Nat, -A: Array<F32>, -B: Array<F32>, -lo: Matrix.Order, -ro: Matrix.Order, -inner: Nat, -rows: Nat,
224 -columns: Nat, -l1: Nat, -l2: Nat, -r1: Nat, -r2: Nat, -b1: Nat, -b2: Nat, -row: Nat, -column: Nat, -value: Maybe<&2, F32>> is Data:
225 LogicalCell{-word: F32, -observed: {value == Some{word} : Maybe<&2, F32>}, -values: List<&2, DotFold.Factors>,
226 -logical: Logical(inner, dl, dr, A, B, lo, ro, inner, rows, columns, l1, l2, r1, r2, b1, b2, row, column, 0n, values),
227 -fold: {word == DotFold.dot_fold(values, 0.0) : F32}}