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gparse-test-softmax-backward

The groupant beside gparse/tests/softmax_backward.rs in the Mova repository: what the code computes, what it never does, how to go back from its outputs, its invariants, cost and checks.

Facts

Implementation material. A Mova code model describes this code at one source revision: partial models, finite checks and their stated scope. It is not a reviewed general exposition, and its labels are shown as written, never raised.

Components

componentlabelwhere
approximantpartialapproximant
astpartialsyntax.json
compositionpartialcomposition
costsymbolic source derivedinvariant
descriptantpresentdescriptant
evidenceexecuted finite checksevidence
invariantpartialinvariant
testsexecuted bounded checkstests

Obernants

The typed relations around the forward model: the behaviour complement (what the code never does), the reverse reconstruction (every input compatible with an output) and specialised views.

idtypelabelwhere
behavior_complementbehavior_complementpartial source derived modelbehavior_complement
reverse_reconstructionreverse_reconstructionpartial source derived modelreverse_reconstruction
numerical_metricnumerical_metricpartial source derived modelnumerical_metric
effect_boundaryeffect_boundarypartial source derived modeleffect_boundary
assurance_scopeassurance_scopepartial source derived modelassurance_scope
failure_precedencefailure_precedencepartial source derived modelfailure_precedence

Parts

Model text

descriptant

Source-bound description

CUDA checks deterministic values/weights at widths 1,3,17,33,257, compares fused/reference forward and weighted VJP<2e-6 abs; independent f64 central differences at four coordinates each width use epsilon1e-4 and tolerance2e-6. Offset slices and transposes checked, large ±1000 rows remain finite and -1e9 columns zero; upstream fusion is no-gradient control. CPU F64 equality checks fallback.

Epoch 2026-10-31

Prospective model was recorded before edits. Added tests use bounded synthetic fixtures; production algorithms unchanged. Coverage is partial, not proof. No trained corpus, live teacher or throughput experiment was executed.

approximant

Forward approximant

CUDA checks deterministic values/weights at widths 1,3,17,33,257, compares fused/reference forward and weighted VJP<2e-6 abs; independent f64 central differences at four coordinates each width use epsilon1e-4 and tolerance2e-6. Offset slices and transposes checked, large ±1000 rows remain finite and -1e9 columns zero; upstream fusion is no-gradient control. CPU F64 equality checks fallback.

Domain: valid source-specific dimensions and resources stated in invariant; no automatic production substitution. Numerical observations are finite checks, not an end-to-end relative bound. Executable Rust surrogate: unsupported gap; existing exact tests are not surrogates. Future metric-specific caps may be 1/2/5/10%, never above 10%.

invariant

Invariant and cost

All thresholds are absolute finite-fixture measurements; no universal gradient error certificate. CPU dtype stays F64.

Cost

O(sum widths) tensor work and O(sum widths) for each selected finite-difference objective; tiny bounded GPU allocation.

Allocation, finite arithmetic, platform dimensions and external failures are not universally certified.

composition

Composition

CUDA checks deterministic values/weights at widths 1,3,17,33,257, compares fused/reference forward and weighted VJP<2e-6 abs; independent f64 central differences at four coordinates each width use epsilon1e-4 and tolerance2e-6. Offset slices and transposes checked, large ±1000 rows remain finite and -1e9 columns zero; upstream fusion is no-gradient control. CPU F64 equality checks fallback.

Scoped children

The byte-scoped children project distinct internal relations through the parent syntax file. The parent combines them in actual source order. Remaining declarations/tests outside child ranges belong to this parent. Their correctness does not establish external caller preconditions.

Interfaces and limits

All thresholds are absolute finite-fixture measurements; no universal gradient error certificate. CPU dtype stays F64.

A passing finite-difference inequality allows any derivative in the tolerance interval, not exact unique gradient; softmax input compatible logits differ by row shifts.

models

Typed model catalog

behavior_complement

Passing selected assertions excludes their stated counterexamples within the fixtures. No corpus/model-file mutation occurs in selected synthetic checks.

reverse_reconstruction

A passing finite-difference inequality allows any derivative in the tolerance interval, not exact unique gradient; softmax input compatible logits differ by row shifts.

numerical_metric

Mask zeros exact on two tested cells; forward and derivative comparisons use <2e-6 independently.

effect_boundary

Selected test process owns local fixture tensors/state; explicit CUDA tests serialize. No teacher/API, dataset or external model reads selected.

assurance_scope

Compiled selected assertions establish only finite observations; ignored experiments and backend allocation failures remain gaps.

failure_precedence

Fixture creation and backend operations must succeed before assertions; a compile-only result is distinct from executed assertions.

tests

Checks and limits

cpu_f64_uses_reference; fused_softmax_matches_reference_gradients_and_finite_differences

Selected commands run twice debug and twice release; exact receipts and source-to-test mapping retained in wave30 gparse external run directory. Tests do not certify allocation failure, all NaN/overflow inputs, trained-model accuracy or corpus timing. Compiled mutants cover selected boundaries; per-source coverage is recorded in the external map, not presumed.

See source execution evidence for exact names and unexecuted paths.

evidence

Execution evidence — 2026-10-31

Source: gparse/tests/softmax_backward.rs

Controls

0 source-local compiled assertion mutants; 1 observed control tests including dependency mutations. Mutant compile exit0, assertion exit101, byte-exact restoration and positive rerun exit0. Per-source controls are listed in external source-test-map.json, not implied for every source.

Limits

Finite synthetic CPU/CUDA observations; no trained-corpus quality or all-input numeric guarantee.

CUDA softmax comparisons use absolute tolerance2e-6. GELU grid maxima observed: values0.0004734993, derivatives0.00086838007, finite difference0.0000005534244635896357; respective strict caps5e-4/1e-3/1e-5. These are finite observations, not percentage profiles or throughput claims.

Receipts: external wave30 gparse run native-commands.json, results.json, controls.json and source-test-map.json. Sorted exact test names/outcomes match per profile; numeric diagnostics and timings need not be byte-identical. Strict scoped library Clippy reports ten pre-existing production lints; appended test blocks were formatted independently without production reformatting.

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