ReduceFoldLAWS.ReduceToContract: type of bendtorch-core@0.1.0.0 Import: import bendtorch-core@0.1.0.0/src/autograd/reduce_fold_LAWS.bend as ReduceFoldLAWS Lines 62-73 of bendtorch-core@0.1.0.0/src/autograd/reduce_fold_LAWS.bend: https://jend.leeeet.dev/read.txt?path=bendtorch-core@0.1.0.0/src/autograd/reduce_fold_LAWS.bend&start_line=62&end_line=73 import Base import bendtorch-core@0.1.0.0/src/shape/core.bend as Shape import bendtorch-core@0.1.0.0/src/tensor/core.bend as Core import bendtorch-core@0.1.0.0/src/autograd/reduce.bend as Reduce import bendtorch-core@0.1.0.0/src/autograd/reduce_LAWS.bend as ReduceLaws # What reduce_to promises, stated only through the result: it succeeds with # the target's dimensions, every in-bounds target cell holds `expected`, and # the returned contribution still holds every word. type ReduceToContract<-target: Shape.Shape, -input: Shape.Shape, -expected: U32 -> Maybe<&2, F32>, -word: U32 -> F32, -result: Core.Dynamic & Result<&2, &1, Reduce.Error, Core.Dynamic>> is Type: ReduceToContract{ successful: {ReduceLaws.succeeded(result) == True{} : Bool}, dimensions: {output_dimensions(result) == Some{Shape.dimensions(target)} : Maybe<&2, List<&2, U32>>}, value: @+index: U32 -> @inside: {Nat.is_lt(U32.to_nat(index), Shape.logical_numel(Shape.dimensions(target))) == True{} : Bool} -> {output_point(result, index) == expected(index) : Maybe<&2, F32>}, kept: @+other: U32 -> @inside: {Nat.is_lt(U32.to_nat(other), Shape.logical_numel(Shape.dimensions(input))) == True{} : Bool} -> {input_point(result, other) == Some{word(other)} : Maybe<&2, F32>}} Uses (18): https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Bool 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=Nat.is_lt https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Pair https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Result 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/reduce.bend&name=Error https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/autograd/reduce_LAWS.bend&name=succeeded https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/autograd/reduce_fold_LAWS.bend&name=input_point https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/autograd/reduce_fold_LAWS.bend&name=output_dimensions https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/autograd/reduce_fold_LAWS.bend&name=output_point 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/core.bend&name=Dynamic