BatchedMatmulLAWS.Cells: def of bendtorch-core@0.1.0.0
Import: import bendtorch-core@0.1.0.0/src/tensor/batched_matmul_LAWS.bend as BatchedMatmulLAWS
Lines 120-126 of bendtorch-core@0.1.0.0/src/tensor/batched_matmul_LAWS.bend: https://jend.leeeet.dev/read.txt?path=bendtorch-core@0.1.0.0/src/tensor/batched_matmul_LAWS.bend&start_line=120&end_line=126

import Base
import bendtorch-core@0.1.0.0/src/storage/model.bend as Model
import bendtorch-core@0.1.0.0/src/tensor/matmul.bend as Matrix

# Every slot of `out`, cell `base + offset`, holds what CellSpec names: the
# cell's fold below `count`, +0.0 at or above it.
def Cells(+depth: Nat, +dl: Nat, +dr: Nat, -A: Array<F32>, -B: Array<F32>, +lo: Matrix.Order, +ro: Matrix.Order, +inner: Nat,
  +rows: Nat, +columns: Nat, +l1: Nat, +l2: Nat, +r1: Nat, +r2: Nat, +o2: Nat, +count: Nat, +base: Nat, -out: Array<F32>) -> Type:
  @+path: Model.Path(depth) ->
    CellSpec(dl, dr, A, B, lo, ro, inner, rows, columns, l1, l2, r1, r2, o2, Nat.add(Model.offset(depth, path), base),
      Nat.is_lt(Nat.add(Model.offset(depth, path), base), count), Model.observe(F32, depth, out, path))

Uses (10):
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Array
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=F32
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Nat
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Nat.add
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Nat.is_lt
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/storage/model.bend&name=Path
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/storage/model.bend&name=observe
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/storage/model.bend&name=offset
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/tensor/batched_matmul_LAWS.bend&name=CellSpec
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/tensor/matmul.bend&name=Order