TensorVjpLAWS.reduced: def of bendtorch-core@0.1.0.0
Import: import bendtorch-core@0.1.0.0/src/autograd/tensor_vjp_LAWS.bend as TensorVjpLAWS
Lines 35-41 of bendtorch-core@0.1.0.0/src/autograd/tensor_vjp_LAWS.bend: https://jend.leeeet.dev/read.txt?path=bendtorch-core@0.1.0.0/src/autograd/tensor_vjp_LAWS.bend&start_line=35&end_line=41

import Base
import bendtorch-core@0.1.0.0/src/shape/core.bend as Shape
import bendtorch-core@0.1.0.0/src/tensor/layout.bend as Layout
import bendtorch-core@0.1.0.0/src/autograd/sum_to_size_fold_LAWS.bend as SumToSizeFold

# What sum_to_size(contribution, target) holds at target cell index, for a
# contribution of `shape` whose words are `values`: the word itself when the
# target has the contribution's dimensions, the ordered fiber sum otherwise.
def reduced(+target: Shape.Shape, +shape: Shape.Shape, +plan: Shape.BroadcastPlan, +values: List<&2, F32>, +index: U32) ->
  Maybe<&2, F32>:
  SumToSizeFold.summed(Layout.words_same(Shape.dimensions(shape), Shape.dimensions(target)), plan,
    Shape.logical_numel(Shape.dimensions(shape)), values, index)

Uses (10):
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=F32
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=List
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Maybe
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=U32
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/autograd/sum_to_size_fold_LAWS.bend&name=summed
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/shape/core.bend&name=BroadcastPlan
  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=logical_numel
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/tensor/layout.bend&name=words_same