TensorVjpPROOF.swapped_matrix: def of bendtorch-core@0.1.0.0
Import: import bendtorch-core@0.1.0.0/src/autograd/tensor_vjp_PROOF.bend as TensorVjpPROOF
Lines 930-935 of bendtorch-core@0.1.0.0/src/autograd/tensor_vjp_PROOF.bend: https://jend.leeeet.dev/read.txt?path=bendtorch-core@0.1.0.0/src/autograd/tensor_vjp_PROOF.bend&start_line=930&end_line=935

import Base
import bendtorch-core@0.1.0.0/src/shape/core.bend as Shape
import bendtorch-core@0.1.0.0/src/autograd/tensor_vjp_LAWS.bend as Laws
import bendtorch-core@0.1.0.0/src/tensor/transpose_spec.bend as Transpose

# The axes transpose_dynamic(t, 0, 1) permutes a rank-2 t by are [1, 0].
def swapped_matrix(+shape: Shape.Shape, +a: U32, +b: U32, +matrix: {Shape.dimensions(shape) == [a, b] : List<&2, U32>}) ->
  {Laws.swapped(shape) == [1, 0] : List<&2, U32>}:
  %Equal.sym(List<&2, U32>, Shape.dimensions(shape), [a, b], matrix) :
    {Transpose.requested_axes(Shape.rank_dimensions(_), U32.to_nat(0), U32.to_nat(1)) == [1, 0] : List<&2, U32>}
  {==}

Uses (9):
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Equal.sym
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=List
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=U32
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=U32.to_nat
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/autograd/tensor_vjp_LAWS.bend&name=swapped
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/shape/core.bend&name=Shape
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/shape/core.bend&name=dimensions
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/shape/core.bend&name=rank_dimensions
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/tensor/transpose_spec.bend&name=requested_axes