Bendtorch.Mat.print: def of bendtorch@1.3.0.0
Import: import bendtorch@1.3.0.0/main.bend as Bendtorch
Lines 1038-1040 of bendtorch@1.3.0.0/main.bend: https://jend.leeeet.dev/read.txt?path=bendtorch@1.3.0.0/main.bend&start_line=1038&end_line=1040

import Base
import bend-ml-tensor-array@0.1.18.0/main.bend as TA

# one line: the name, then each number as the decimal of its 32 bits (exact, for the tests in reference/)
def Mat.print(+r: Nat, +c: Nat, +name: String, m: TA.Mat<r, c>) -> IO(Unit):
  IO.print(name ++ ml_words(r, c, TA.Mat.to_list(r, c, m)))

Uses (9):
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=IO
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=IO.print
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Nat
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=String
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=String.append
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Unit
  https://jend.leeeet.dev/definition.txt?path=bend-ml-tensor-array@0.1.19.0/main.bend&name=Mat
  https://jend.leeeet.dev/definition.txt?path=bend-ml-tensor-array@0.1.19.0/main.bend&name=Mat.to_list
  https://jend.leeeet.dev/definition.txt?path=bendtorch@1.3.0.0/main.bend&name=ml_words