LAWS.matmul_nt_ordered: law of bendtorch-core@0.1.0.0 Import: import bendtorch-core@0.1.0.0/src/tensor/contracts/LAWS.bend as LAWS Lines 336-360 of bendtorch-core@0.1.0.0/src/tensor/contracts/LAWS.bend: https://jend.leeeet.dev/read.txt?path=bendtorch-core@0.1.0.0/src/tensor/contracts/LAWS.bend&start_line=336&end_line=360 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/matmul.bend as Matrix import bendtorch-core@0.1.0.0/src/tensor/dot_fold.bend as DotFold import bendtorch-core@0.1.0.0/src/tensor/contracts/replayed.bend as Replayed import bendtorch-core@0.1.0.0/src/tensor/contracts/fold_records.bend as FoldRecords # `matmul_nt(x, W)` is the product of two `Kept` operands, x @ W^T: cell # (row, column) folds x[row, k] * W[column, k], the words of x at # row * inner + k and of W at column * inner + k, in increasing k from +0.0. law matmul_nt_ordered: for +left: Shape.Shape for +right: Shape.Shape for +plan: Matrix.Product for planned: {Matrix.product_plan(Matrix.Kept{}, Matrix.Kept{}, left, right) == Done{plan} : Result<&2, &2, Matrix.Error, Matrix.Product>} for +left_fill: F32 for +left_ops: List<&2, StorageLaws.Op> for -left_fits: {Lifecycle.logical_length(Replayed.storage(left, left_fill, left_ops)) == Shape.logical_numel(Shape.dimensions(left)) : Nat} for +right_fill: F32 for +right_ops: List<&2, StorageLaws.Op> for -right_fits: {Lifecycle.logical_length(Replayed.storage(right, right_fill, right_ops)) == Shape.logical_numel(Shape.dimensions(right)) : Nat} FoldRecords.MatmulContract column => DotFold.dot_fold(product_factors(row, column, Matrix.Kept{}, Matrix.Kept{}, product_inner(Matrix.Kept{}, Matrix.Kept{}, left, right, plan), product_rows(Matrix.Kept{}, Matrix.Kept{}, left, right, plan), product_columns(Matrix.Kept{}, Matrix.Kept{}, left, right, plan), left, left_fill, left_ops, right, right_fill, right_ops, product_inner(Matrix.Kept{}, Matrix.Kept{}, left, right, plan)), 0.0), other => Replayed.value(left, left_fill, left_ops, other), other => Replayed.value(right, right_fill, right_ops, other), Matrix.matmul_nt(Core.Packed{left, Core.TTensor{Replayed.storage(left, left_fill, left_ops), left_fits}}, Core.Packed{right, Core.TTensor{Replayed.storage(right, right_fill, right_ops), right_fits}})> Uses (25): 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=Nat https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Result 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/LAWS.bend&name=product_columns https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/tensor/contracts/LAWS.bend&name=product_factors https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/tensor/contracts/LAWS.bend&name=product_inner https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/tensor/contracts/LAWS.bend&name=product_rows https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/tensor/contracts/fold_records.bend&name=MatmulContract https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/tensor/contracts/product_proof.bend&name=product_ordered 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/dot_fold.bend&name=dot_fold https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/tensor/lifecycle.bend&name=logical_length https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/tensor/matmul.bend&name=Error https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/tensor/matmul.bend&name=Order https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/tensor/matmul.bend&name=Product https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/tensor/matmul.bend&name=matmul_nt https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/tensor/matmul.bend&name=product_plan