TensorVjpPROOF.one_contract: 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 1059-1080 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=1059&end_line=1080 import Base import bendtorch-core@0.1.0.0/src/shape/core.bend as Shape import bendtorch-core@0.1.0.0/src/storage/LAWS.bend as StorageLaws import bendtorch-core@0.1.0.0/src/tensor/core.bend as Core import bendtorch-core@0.1.0.0/src/tensor/lifecycle.bend as Lifecycle import bendtorch-core@0.1.0.0/src/tensor/contracts/replayed.bend as Replayed import bendtorch-core@0.1.0.0/src/tensor/contracts/pointwise_proof.bend as PointwiseProof import bendtorch-core@0.1.0.0/src/autograd/sum_to_size_fold_PROOF.bend as SumToSizeFoldProof import bendtorch-core@0.1.0.0/src/autograd/tensor_backward.bend as Backward import bendtorch-core@0.1.0.0/src/autograd/tensor_vjp_LAWS.bend as Laws # A delivered contribution, a replayed tensor with its target's dimensions # whose cells hold the stated words, meets the one-contribution contract. def one_contract(+a: Nat, +target: Shape.Shape, -target_cell: U32 -> Maybe<&2, F32>, -saved: Backward.Saved, -g: Core.Dynamic, +first: Shape.Shape, +first_dimensions: {Shape.dimensions(first) == Shape.dimensions(target) : List<&2, U32>}, +first_fill: F32, +first_ops: List<&2, StorageLaws.Op>, first_values: @+index: U32 -> @inside: {Nat.is_lt(U32.to_nat(index), Shape.logical_numel(Shape.dimensions(target))) == True{} : Bool} -> {Some{Replayed.value(first, first_fill, first_ops, index)} == target_cell(index) : Maybe<&2, F32>}, -first_fits: {Lifecycle.logical_length(Replayed.storage(first, first_fill, first_ops)) == Shape.logical_numel(Shape.dimensions(first)) : Nat}) -> Laws.OneContract: Laws.OneContract{ {==}, Equal.cong(List<&2, U32>, Maybe<&2, List<&2, U32>>, dimensions => Some{dimensions}, Shape.dimensions(first), Shape.dimensions(target), first_dimensions), index => inside => +inside = inside Equal.trans(Maybe<&2, F32>, Core.dynamic_read_value(Core.read_dynamic(Core.Packed{first, Core.TTensor{Replayed.storage(first, first_fill, first_ops), first_fits}}, index)), Some{Replayed.value(first, first_fill, first_ops, index)}, target_cell(index), PointwiseProof.replayed_point(first, first_fill, first_ops, first_fits, index, SumToSizeFoldProof.shape_below(first, target, index, first_dimensions, inside)), first_values(index, inside))} Uses (28): https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Bool https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Equal.cong https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Equal.trans 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 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=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/sum_to_size_fold_PROOF.bend&name=shape_below https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/autograd/tensor_backward.bend&name=Contribution https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/autograd/tensor_backward.bend&name=Pass https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/autograd/tensor_backward.bend&name=Saved https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/autograd/tensor_vjp_LAWS.bend&name=OneContract 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/storage/LAWS.bend&name=Op https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/tensor/contracts/pointwise_proof.bend&name=replayed_point https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/tensor/contracts/replayed.bend&name=storage https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/tensor/contracts/replayed.bend&name=value https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/tensor/core.bend&name=Dynamic https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/tensor/core.bend&name=Tensor https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/tensor/core.bend&name=dynamic_read_value https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/tensor/core.bend&name=read_dynamic https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/tensor/lifecycle.bend&name=logical_length