TorchLean API

FloatLib.Floats.Formats.BinaryInterchange.Operations.MixedPrecision.MatmulProof

Shape and entry refinement for mixed-precision matrix multiplication #

Successful matmul execution produces exactly one row per left input row and one entry per right input column. Every output entry is the corresponding executable dotSequential. For IEEE encodings with finite inputs, intermediate values, and results, dotSequential_abs_error_le_budget supplies its numerical error bound.

Shape and entry contract for a successful mixed-precision matrix product.

The entry equation preserves the implementation's left-to-right dot-product order.

Instances For

    Every successful mixed-precision matrix multiplication satisfies its shape and entry contract.

    theorem FloatLib.Floats.Formats.BinaryInterchange.Model.matmul_entry_abs_error_le_budget (p : SitePolicy) (A B : Matrix p.storage) (C : Matrix p.output) (hmatmul : matmul p A B = Except.ok C) (i : ) (hi : i < Array.size A) (j : ) (hj : j < ncols B) (hstorage : p.storage.isIEEE = true) (hproduct : p.product.isIEEE = true) (haccumulator : p.accumulator.isIEEE = true) (houtput : p.output.isIEEE = true) (hfinite : k < A[i]!.size, MulAccFinite p A[i]![k]! (column B j)[k]! (sequentialAccumulator p A[i]! (column B j) k)) (haccFinite : (sequentialAccumulator p A[i]! (column B j) A[i]!.size).isFinite = true) (hresultFinite : C[i]![j]!.isFinite = true) :

    The sequential-dot budget bounds a selected entry of a successful matrix product, under the dot theorem's IEEE-encoding and local finiteness hypotheses.