BatchedMatmul.run_from: def of bendtorch-core@0.1.0.0
Import: import bendtorch-core@0.1.0.0/src/tensor/batched_matmul.bend as BatchedMatmul
Lines 249-258 of bendtorch-core@0.1.0.0/src/tensor/batched_matmul.bend: https://jend.leeeet.dev/read.txt?path=bendtorch-core@0.1.0.0/src/tensor/batched_matmul.bend&start_line=249&end_line=258

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

# The `fuel` terms of a cell from offsets `lp` and `rp`, from +0.0, each
# next term `ls` and `rs` further on: `Matrix.product_run` after the first
# reads.
def run_from(fuel: Nat, +ls: Nat, +rs: Nat, +lp: Nat, +rp: Nat, la: Array<F32>, ra: Array<F32>) ->
  F32 & (Array<F32> & Array<F32>):
  match fuel:
    case 0n:
      (0.0, (la, ra))
    case 1n+rest:
      Matrix.product_run(rest, ls, rs, lp, rp, 0.0, Array.get(F32, la, U32.from_nat(lp)), Array.get(F32, ra, U32.from_nat(rp)))

Uses (8):
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Array
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Array.get
  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=Pair
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Sigma
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=U32.from_nat
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/tensor/matmul.bend&name=product_run