ci: full shard-selection report, then fix the rules that select every shard - #2276
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Select shards reported only a verdict line and up to 5 route strings per shard. It discarded the coverage selection whenever any escalation reason fired, which is almost every PR, so nobody could see what narrowing would have given or which file forced the full matrix. The selector now writes one record per pull-request path where the decision is made (category, outcome routed/escalated/skipped, shards, reason). selection.json gains report-only fields: files, wouldSelect (the coverage selection even when escalated), and map (sha, changed-since-map and changed-by-this-change counts). The workflow's matrix decision reads none of them. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
The Select shards summary was one line ("Running the full matrix (164 shards).").
Write-SelectionReport.ps1 renders selection.json into:
- the verdict, with what coverage alone would have selected when the run escalates
- what forced the full matrix, grouped by rule, with the files that triggered it
- every changed file: category, outcome, shard count and reason
- shards added whatever the change touched (always-run, redefined), kept apart
- every change-driven shard with all of its reasons, not the first five
The Build job appends test-level narrowing from type-impact-plan.json: the classes
each shard runs, and why the type-level plan could not resolve when it did not.
selection.json and selection-report.json are uploaded as shard-selection-report.
The report cannot affect the matrix. It runs after the decision, its failures only
warn, and it has its own self-test (10 known-answer checks). Replayed on #2272 it
names the four escalations and shows coverage alone would have run 101 of 164.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
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Included review availability: This review used your included allowance. Your plan provides up to 1 included review per hour; 0 remain after this review. WalkthroughThe shard selector now records per-file decisions and map metadata. New scripts record effective test selections and create JSON and Markdown reports. The workflow generates, displays, and uploads available reports. Training changes invalidate compiled state when the optimizer changes. Tests update gradient reevaluation, optimizer replacement, fixture options, model dimensions, and architecture settings. ChangesTest impact selection reporting
Neural training updates
Test fixture updates
Priority: ⬇️ Low Estimated code review effort: 3 (Moderate) | ~30 minutes Change: Feature Sequence Diagram(s)sequenceDiagram
participant Workflow as SonarCloud workflow
participant Selector as Select-Shards.ps1
participant TestSelector as Select-AffectedTests.ps1
participant Reporter as Write-SelectionReport.ps1
participant Artifacts as Workflow artifact storage
Workflow->>Selector: Run shard selection
Selector-->>Workflow: Return selection record
Workflow->>TestSelector: Select test shards
TestSelector-->>Workflow: Write effective selection
Workflow->>Reporter: Build selection report
Reporter-->>Workflow: Write JSON and Markdown
Workflow->>Artifacts: Upload available selection files
Merge Risk: ⚪ Minimal · up to The reporting changes remain non-gating, and optimizer replacement resets compiled training state. No actionable merge blocker remains; merge after normal checks pass. Security Architecture ReviewSecurity architecture risk: 🔵 Low · up to The inspected changes do not establish a new security vulnerability or privilege expansion. Reporting remains separate from test execution decisions, and optimizer replacement resets the owning model’s compiled state. Concurrent reconfiguration and interrupted training recovery remain insufficiently demonstrated. Retained concerns Security review detailsSecurity Blast Radius
Trust Boundaries and Controls
Resilience and Maintainability Implications
🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
Full details: Docstring CoverageExplanation Docstring coverage is 11.11% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 9 functions across 7 files. (3 skipped: 3 unsupported.) ✨ Finishing Touches 💡 1📝 Generate docstrings 💡
🧪 Generate unit tests (beta)
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Inline comments:
Review comments at @.github/workflows/sonarcloud.yml:
- Around line 1398-1400: Update the “Upload shard selection report” step in the
select-shards workflow to continue on error, so artifact upload failures do not
fail the job or block dependent jobs.
Review comments at @tools/TestImpact/Select-Shards.ps1:
- Around line 882-885: Add a BuildOnly branch in the path-impact decision flow
alongside the NonRuntime branch, recording a decision for each current BuildOnly
path without changing shard selection. Ensure the emitted files array includes
`.editorconfig` paths even when runtime files are also changed, and add a
regression assertion for `.editorconfig`.
Review comments at @tools/TestImpact/Write-SelectionReport.ps1:
- Around line 290-292: Update the report-failure catch in the selection-report
flow to make a fallback verdict available to the workflow when JSON reading,
rendering, or report writing fails, while keeping the Build report step
non-gating. Ensure the failure is observable by the workflow’s fallback handler
instead of being silently consumed by the warning.
- Around line 89-90: Track whether selection evidence is available in the report
flow around Get-Prop and $Selection; render “coverage selection unavailable”
when evidence is missing, and report zero selected shards only when completed
selection evidence confirms an empty result.
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- Select-Shards records a decision for BuildOnly paths (.editorconfig). They fell through the switch and vanished from the report's file list. A self-test pins it beside a runtime change, and it fails with the fix removed. - Write-SelectionReport tracks whether selection evidence exists. A missing or partial selection.json reads "coverage selection unavailable", not "coverage would have selected 0". - The report script exits 1 when it cannot write the report instead of swallowing the failure. The Select step throws on it and writes its fallback verdict; the Build job's report step is continue-on-error. - Upload shard selection report is continue-on-error: an artifact-service hiccup must not fail Select shards and block the matrix. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
… invokes A tools/<name>/ change counted as "not executed by any mapped shard" and ran the full matrix. That happened on 10 of 22 escalated PR runs in late September 2026, though most tool directories are standalone programs no test project, source file, solution or this workflow references. Get-ChangedPathImpact now classifies a tools/<name>/ path as NonRuntime when a git grep at HEAD finds no reference to that directory in tests/, src/, the solution files, Directory.Build.* or sonarcloud.yml. Other workflows have their own triggers and cannot change a shard here, so they are excluded. Otherwise, and whenever the search itself fails, the old behaviour stands. tools/TestImpact stays SelectionControl, and a loose file directly under tools/ is unchanged. Replayed on #2136: tools/CoverageReportReview no longer escalates, and tools/ModelPerfProbe (which sonarcloud.yml invokes) still does. Self-tests pin both, plus TestImpact and the loose-file case. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
…s installed SetBaseTrainOptimizer swapped the optimizer but left the fused compiled plan, and the moments inside it, committed. The next Train could not engage that plan with the new optimizer, and the committed-plan guard forbids a silent eager fallback, so any mid-run optimizer swap threw "Fused compiled training has already run successfully, but the current step cannot engage the fused path". Installing a different optimizer is a new trajectory the caller asked for, so it now invalidates the compiled step and clears the committed flags, as ResetBaseTrainOptimizerState already does. Re-installing the same instance is a no-op. Found by triaging test classes no CI shard selects: TransformerEndToEndIntegrationTests.SetBaseTrainOptimizer_OverridesCtorDefault_OnTrainCall had never run in CI. It now passes, as does the rest of the class (7/7). Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
OptimizerReevaluationExecutesTheRealObjectiveAtCurrentWeights asserts that an optimizer's re-evaluation runs the real objective again at the current weights (two forward calls, a different loss). Its ObservingSgd test double made that call, ReevaluateWithGradients(context) then ReevaluatedLoss = context.Loss, through 2031bf8. 06831e6, an unrelated vision-language review commit, deleted those two lines and left their comment behind. With no call, the test saw one forward call and failed. No CI shard selects this class, so nothing noticed. This restores the double's own call; no assertion changes. The product's re-evaluation path is correct: the class passes 13/13. Found while triaging the test classes no shard runs (#2276). Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
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Copilot review overview
🟡 Changes recommended
Reports can misstate workflow decisions and executed type-impact shards, and the optimizer-swap fix lacks regression coverage.
Review effort: Balanced
Findings: 2
Open (3)
What changed in this PR
Adds detailed CI shard-selection reporting and narrows validation for unreferenced tools, alongside an optimizer-state fix.
Changes:
- Records and reports per-file shard decisions, escalation causes, and type-impact details.
- Classifies unreferenced tool directories as non-runtime.
- Invalidates fused training state when replacing an optimizer.
| File | Description |
|---|---|
.github/workflows/sonarcloud.yml |
Generates and uploads selection reports. |
tools/TestImpact/Select-Shards.ps1 |
Records decisions and classifies tools. |
tools/TestImpact/Write-SelectionReport.ps1 |
Renders Markdown and JSON reports. |
src/NeuralNetworks/NeuralNetworkBase.cs |
Invalidates fused state after optimizer replacement. |
tests/AiDotNet.Tests/UnitTests/NeuralNetworks/CustomObjectiveTrainingContractTests.cs |
Restores gradient-enabled reevaluation coverage. |
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…tructor MemFlow_ExplicitSmokeConstructorWinsOverAvailableParameterlessConstructor stubbed MemFlow(architecture, int numFeatures, int numLayers) and asserted those named arguments in the generated fixture. MemFlow has taken (architecture, MemFlowOptions? options) since 25b4df5. The generator was corrected to emit options: new MemFlowOptions { NumFeatures = 8, NumLayers = 2 }, the only form that compiles against the real model, but the test's stub and assertions were not. The stub now declares the real signature. The test asserts the same values, 8 features and 2 layers plus the unchanged 64x64x6 architecture, on the options initializer through the file's existing AssertAssignedInteger helper (MelGAN's pattern). The bounded-fixture contract is unchanged: 24/24 pass. Found while triaging test classes no CI shard selects (#2276). Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
MGIETests scales the U-Net and VAE to fit the 120-second budget, as its doc comment says, but left the MLLM at its defaults: LLaVA-7B (DecoderDim 4096 x 32 layers over a CLIP ViT-L tower). Clone_ShouldProduceIdenticalOutput materializes and copies that encoder and timed out at 120 s on every run. The fixture now sets the instruction encoder's widths, depths and vocabulary small. The architecture is unchanged (vision tower -> LLM -> [IMG] tokens -> edit head -> 768-wide context, which the U-Net requires), and the paper defaults in MGIEOptions are untouched. All 13 tests pass in 17 s. No CI shard selects this class, so the timeout had never surfaced; found while triaging them (#2276). Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
NumberedVariantTestClass_DoesNotCoverItsShorterSibling expected the report's TestedModelNames to be ["SAM2"]. The generator has written FullyQualifiedName there since aaa175c (2026-09-09, "report untested models by fully-qualified name", #2091), and this test was added afterwards (1daf3f5, 2026-09-23) with the short name. No CI shard selects this class, so it had never run and failed every time. The assertion stays exact, ["global::Probe.SAM2"]: the numbered variant is the only tested model and its shorter sibling SAM is not. 4/4 pass. Found while triaging the test classes no shard runs (#2276). Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
…talled Covers ed34b0f with a focused regression test in a namespace a CI shard selects (UnitTests.Optimizers, Unit - 09). A tiny Transformer trains until the fused plan commits (positive control: fused steps > 0), installs a different Adam through SetBaseTrainOptimizer, and trains again. That must not throw and must engage a fresh fused plan. Control arm: with ed34b0f reverted the test fails on "Fused compiled training has already run successfully, but the current step cannot engage the fused path". With it, the test passes. Invalidating the plan resets the global fused-step counter, so the post-swap phase is counted from zero. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
…n report The report's override line was inferred from whether selection.json existed. That was wrong both ways: - The post-merge delta path never runs the selector yet narrows legitimately, so it got a false "the warning above says why the full matrix runs". - A check that escalated after a valid selection.json (an empty matrix, shards absent from the manifest, no ledger-producing shard) left the line empty. The Select step now keeps $decisionReason. It starts empty, meaning the selector's decision stands, and each override branch sets it: invalid map provenance, untrusted tooling, unknown delta shards, delta reuse, unavailable classification, invalid selector output, no certified map, unknown selected shards, empty matrix, and no ledger-producing shard. The report receives it directly. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
…'s candidates type-impact-plan.json lists candidates for every manifest shard. Select-AffectedTests then intersects them with the chosen matrix, passes the whole selection through when the plan is unresolved, and un-narrows the widest shards to fit the 1 MB output limit. Rendering the plan alone therefore showed shards that never ran, and "Narrowed = True" for shards that ran whole. Select-AffectedTests now writes type-impact-effective.json on every exit: the mode (narrowed or passthrough), the reason, and each shard that runs with its narrowed state and class count. The report renders that and marks the old plan-only view as candidates when the record is missing. Self-tests cover both: a plan-narrowed shard that passed through shows as "whole shard", and a candidate the matrix did not run is not listed. The effective file is uploaded with the plan. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
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Both drew their initial weights from the process-wide random stream, whose position depends on which tests ran earlier in the same process. xUnit randomizes collection order per run, so each passed or failed by order: - TransformerTrainingTraceTest.TraceOneStep_V4 failed every run alone (loss 1.8254 -> 2.2704). It used Vaswani's default Noam warmup of 4000 steps, which keeps the learning rate near zero over its 100-step budget, and dropout 0.1, which makes a single training-mode loss noisy. It now uses the fixture settings the other Transformer training tests already use (TransformerEndToEndIntegrationTests.MakeArch): warmupSteps 10, dropout 0, seed 42. - CategoricalCrossEntropyTapeIssue1191Tests...V8 runs five trials and requires 4 of 5. Its comment said the Transformer exposed no init seed; it does now. Each trial gets its own fixed seed (1191 + trial): still five independent initializations, and the same 4-of-5 rule. No assertion changes. TraceOneStep_V4 passes 5/5 alone, and the 1191 class 3/3. Found while triaging test classes no CI shard selects (#2276). Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
…only the head ForwardBackbone copied the [CLS] token out element by element into a fresh tensor, which no gradient tape saw. Gradients stopped at the classification head: the feature tokenizer, every encoder layer and the final LayerNorm stayed at their initial values (34 of 2,403 parameters moved per step; 2 of the 20 trainable tensors received a gradient). The loss still fell, because the head alone can lower it, so the convergence test passed. The token is now taken with Engine.TensorSlice + Reshape, as VisionTransformer does, and ~2,130 parameters move. TrainStep_UpdatesTheWholeNetwork_NotOnlyTheHead requires at least 80% of the parameters to move after two steps (34 before the fix). Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_017otuSGr3GdmvPoYLbiaWR2
…e gradient tape
PiecewiseLinearEncodingLayer (Gorishniy, Rubachev and Babenko, NeurIPS 2022) had three defects the
invariant harness exposed once it was wired in:
- Its forward was a scalar loop writing into a rented tensor, so no tape saw it: no gradient reached
the input or anything upstream.
- It computed min(x - b_{t-1}, b_t - x), a symmetric triangle clamped to [0, 1], which is not the
paper's encoding. The paper's e_t is (x - b_{t-1}) / (b_t - b_{t-1}) clamped to [0, 1], with the
first bin unclamped below and the last unclamped above.
- It marked its own gradient buffer [TrainableParameter], and made the bin boundaries learnable,
which the paper does not do.
The encoding is now built from engine ops (broadcast, subtract, divide, tensor clamp) on
[batch, features, bins]; the T + 1 edges per feature are a persisted [Buffer] (saved, never trained);
FitBoundaries sets them to the training data's quantiles as the paper does, and the default stays
evenly spaced over [-2, 2] for standardized input. Nothing in src used the layer.
Tests: known answers for inside, below and above the edges; d/dx equal to 1/width of the active bin;
quantile fitting with a constant feature; edges are state, not trainable. The layer joins the
invariant harness, and LayerInvariantCoverageTests' ceiling drops to the measured 119 uncovered.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_017otuSGr3GdmvPoYLbiaWR2
…ready runs on AiDotNetEngine.Current is process-wide and every model reads it on each operation. On a CPU configuration (AlwaysCpu, the CPU device type, the AIDOTNET_DISABLE_GPU opt-out) BuildAsync called AiDotNetEngine.ResetToCpu(), which installs a NEW CpuEngine even when the process already runs on one. Swapping engines under a model training on another thread loses that step's update: with one thread replacing the engine while another trained FTTransformer, 3 of 20 steps moved under half of the network, and the NeuralNetworks shard failed intermittently (FTTransformer learning nothing, APNet2's gradient check off by 4 orders of magnitude). The builder now replaces the engine only when it is not already exactly a CpuEngine. Why a CPU-to-CPU engine swap corrupts a concurrent step is an AiDotNet.Tensors question, followed up there. BuilderCpuEngineReuseTests: an AlwaysCpu or CPU-device configuration keeps the current CpuEngine instance. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_017otuSGr3GdmvPoYLbiaWR2
…me it
Consumers inline a const's value, so the IL type graph holds no reference to it and TypeImpact left
every file with an edited non-private const unresolved (10 of the 77 unresolved entries in the
completed pull request runs since 2026-09-26). The consumers do name the const in source: the
edited lines' declarator names are read from the diff ("const <type> A = ..., B = ..."), and every
C# file in the checkout that names one as a whole word (git grep -w, tracked and untracked, honouring
.gitignore) is treated as changed alongside the declaring type. A const line whose declaration
cannot be read, a failed search, or more than 2,000 consumers stays unresolved.
Self-test: the edited-const case now resolves and reaches LimitsTests, which reads the const; an
unreadable const line stays unresolved (19 cases pass).
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_017otuSGr3GdmvPoYLbiaWR2
…ffset and budget they replaced e45350f moved the VisionLanguage conformance shards to ADNSHAPE_CONF_WINDOW, but Test-CiImpactWorkflow.ps1 still required ADNSHAPE_CONF_OFFSET and ADNSHAPE_CONF_BUDGET on all 34 shards: 68 failures, and the build job runs it. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_017otuSGr3GdmvPoYLbiaWR2
…ready on one AiDotNetEngine.ResetToCpu installs a new CpuEngine on every call. 41 call sites in classes that run in parallel with the rest of the suite reset it routinely, and every model reads the process-wide engine on each operation, so a reset swapped the engine under a model training in another class and that step's update was lost. In the two Unassigned shards it failed FusedOptimizerParityTests.LAMB_FusedMatchesEager_NoWorseThanAdam and FTTransformerClassifierTests.Train_ReducesCrossEntropy_OnSeparableData_AndStaysFinite, each of which passes alone. TestEngines.EnsureCpu keeps a plain CpuEngine that is already current, so a reset still undoes a GPU engine but no longer replaces the CPU one under a running step. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_017otuSGr3GdmvPoYLbiaWR2
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October 1, 2026 22:59
# Conflicts: # tools/TestImpact/Select-AffectedTests.ps1
…at names the files it checks 474f6fa classifies a .github file nothing reads as non-runtime by searching .github/ and tools/ for its name. That search found Select-Shards.ps1 itself, whose comments and self-test name CODEOWNERS and dependabot.yml, so both stayed full validation and the self-test failed ('CODEOWNERS, which no workflow reads, is not NonRuntime'). The classifier is now left out of the search, and the old self-test case that expected dependabot.yml to escalate (it only did because that case names it) now asserts it is non-runtime, as the rule's own comment says. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_017otuSGr3GdmvPoYLbiaWR2
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…e found unselected InteractingLayerInvariantTests, PiecewiseLinearEncodingLayerTests and PiecewiseLinearEncodingLayerInvariantTests (this branch) and BidirectionalRecurrentRegressionTests (master, 9fca498) matched no shard filter, so the Build job's inventory gate failed. Assert-ShardInventory.ps1 now reports 0 of 4012 classes unselected. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_017otuSGr3GdmvPoYLbiaWR2
cs/reference-equality-on-valuetypes (error): SetBaseTrainOptimizer compared an interface-typed optimizer with ReferenceEquals, which boxes a struct implementation and never matches; != on an interface is reference identity. cs/missed-readonly-modifier: PiecewiseLinearEncodingLayer._binEdges is assigned only in its constructor (FitBoundaries writes into it). cs/linq/missed-select: LoadedAssembly.GeneratedDocumentHashes maps handles to documents with Select. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_017otuSGr3GdmvPoYLbiaWR2
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Conflicts, all in CI tooling and tests that master's #2276 also changed: - Select-AffectedTests.ps1, Test-CiImpactWorkflow.ps1, GeneratedHeavyFixtureContractTests, TestScaffoldCoverageReportTests: master's side, a superset of or the same fix as this branch's. - test-shards.yml: master's comment for the name-keyed conformance windows, with this branch's count. The dedupe here removes Donut, LayoutLMv3, Nougat and Pix2Struct from VisionLanguage (170 -> 166 models). Follow-ups the merge needs to stay green: - ModelContractConformanceTests.Windows.cs: drop the four removed models. Windows 4, 15, 20 and 24 drop from 5 to 4 models, and no other model moves (the table is name-keyed). WindowCount stays 34. ConformanceWindowTableTests passes. - test-shards.yml: BatchNormalizationSingleImageTests and BatchNormalizationLayoutAndRecalibrationTests, new on this branch, matched no shard. Master's inventory gate (Assert-ShardInventory.ps1) failed on them, so they join Unassigned - 02. The gate now reports 0 unassigned and the shard runs both (4 tests). Verified: 472 generator and window tests pass, Select-Shards -SelfTest passes, and the inventory gate passes. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
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Master gained #2276, which overlaps this branch's optimizer work. Resolutions: - AMSGradOptimizer: master. Its default is the paper (Reddi et al. 2018, Algorithm 2) with a PyTorch option (AMSGradBiasCorrection), the agreed design. Every correction site goes through FirstMomentCorrection/SecondMomentCorrection, so this branch's hard-coded PyTorch correction is dropped. - AMSGrad_TwoSteps_HandCalculated_PyTorchConvention keeps this branch's stronger two-step test and pins BiasCorrection = PyTorch, the formula it asserts. AMSGradBiasCorrectionTests pins the paper default. - Adam (8 hunks): master. The same raw-v AMSGrad max, without the null-forgiving vMax!. - Nadam: this branch's names (biasCorrectionMNext). The math is identical: both sides implement Dozat 2016's 1 - beta1^(t+1). - SparseEmbeddingOptimizerHelpers.Nadam: master's explicit bc1Next parameter, which the merged caller already passes. - NeuralNetworkBase.SetBaseTrainOptimizer: this branch's IsSameInstance invalidation. The same fix arrived from master as a second block after the assignment; that copy is removed, so the plan is invalidated once. - CategoricalCrossEntropyTapeIssue1191Tests: this branch's per-trial seeds (ArchitectureFor). - Directory.Packages.props: master's 0.134.0, which contains #1065's DecoupledWeightDecay. Verified: the optimizer, AMSGrad, Nadam, fused, SetBaseTrainOptimizer, 1191, facade, ChunkedMemoryStream and AdamCopyOnWrite filters pass, 2484 passed and 2 skipped (net10.0). Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
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Master gained #2276, which overlaps this branch's optimizer work. Resolutions: - AMSGradOptimizer: master. The default is the paper (Reddi et al. 2018, Algorithm 2) with a PyTorch option, and every correction site goes through FirstMomentCorrection/SecondMomentCorrection. This branch keeps the nullable model parameter. The reverse-path comment now names bc2 rather than (1 - beta2^t), which the paper default does not apply. - FusedKernelParityTests (new on this branch): its AMSGrad case pins BiasCorrection = PyTorch. The theory asserts every case maps to the fused kernel, which implements PyTorch amsgrad=True. The paper default declines the fused path until the plan carries the exact betas (AiDotNet.Tensors #1079). - FusedOptimizerParityTests: this branch's side, which drops the AMSGrad fact as a duplicate of that theory. - OptimizerUpdateRulesDeepMathIntegrationTests: master's paper-default step 1. This branch's version asserted the PyTorch formula under default options. - Nadam: this branch's names; the math is identical (Dozat 2016, 1 - beta1^(t+1)). SparseEmbeddingOptimizerHelpers.Nadam: master's explicit bc1Next, which the merged caller passes. - NeuralNetworkBase.SetBaseTrainOptimizer: this branch's block, which also resets _fusedTrainingDisabled. Master's second copy of the invalidation is removed. - Directory.Packages.props: master's 0.134.0. Verified: the optimizer, AMSGrad, Nadam, fused, SetBaseTrainOptimizer and checkpoint filters pass, 2826 of 2827 (net10.0). The one failure, Issue1296LargeXTrainBatchingTests.CompileReplay_DeliversSpeedupVsEager (speedup 0.49x), ran alongside a second 25-minute suite on the same machine. It passed 3 of 3 runs alone. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
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The shard inventory gate from master (#2276) failed the build: no shard selected DenseLayerQuantizedWeightTests (53896b9) or FusedKernelParityTests (b5acea7), so neither would ever run. Both join Unassigned - 01, next to their sibling classes. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
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Why
Almost every PR runs the full 164-shard matrix, and the Select shards job said only "Running the full matrix (164 shards)." Of 23 PR runs since 2026-09-24 that reached a verdict, 22 escalated. Nobody could see which file forced it or what narrowing would have saved, so fixes kept being guesses.
What this PR does
1. The selector records every decision (
Select-Shards.ps1). One record per pull-request path is written where it is decided: category, outcome (routed / escalated / skipped / reviewed), shards, and reason.selection.jsongains report-only fields, none of which the matrix decision reads:files: the per-path records.wouldSelect: the coverage selection, previously discarded whenever any escalation fired.map: the map sha, files changed since the map, and files changed by this change.2. The report (
Write-SelectionReport.ps1, wired into the Select step and the Build job). It shows:type-impact-plan.json: the classes each shard runs, and the unresolved causes grouped.shard-selection-reportartifact.The report cannot change the matrix. It runs after the decision, it only warns on failure, and it has its own self-test with 10 known-answer checks.
Evidence
Replaying #2272 through this branch gives:
TestScaffoldGenerator.csedit (FullValidation), an abstract test base, a new test class no shard filter selects, and aSelect-AffectedTests.ps1edit.BatchNormalizationLayer.cs(lines 349-350, which no shard executes) sent the file to all 61 shards that execute any of it.Checks run:
Select-Shards.ps1 -SelfTest: pass.Test-CiImpactWorkflow.ps1: contract passed.Write-SelectionReport.ps1 -SelfTest: pass.The rule fixes
Each fix narrows a rule that used to escalate to the full matrix. It also makes sure a class that no shard ran before now runs somewhere.
.githubfiles nothing readstools/*src/AiDotNet.Generators/)Unassigned - 01/02shards, plus a build step that fails when any class is unselectedconstin a file whose type exposes oneSelect-AffectedTests.ps1)tools/TestImpact/Invoke-SelectionReplay.ps1(b840afc, 4c7cce7) replays shard selection over real PRs. It reads each PR's base and merge commit from GitHub.What the new shards exposed
The
Unassignedshards run classes that no shard ever ran, and some of them failed:Engine.TensorSlice+Reshape. The testTrainStep_UpdatesTheWholeNetwork_NotOnlyTheHeadrequires at least 80% of parameters to move.[F, T+1](FitBoundaries), the encoding uses tape ops, and the layer has no trainable parameters.EngineCurrentGlobalStatecollection with parallelization disabled.AiDotNetEngine.ResetToCpu()installs a newCpuEngineon every call. A reset in one class swapped the engine under a model training in another, and that step's update was lost.FusedOptimizerParityTests.LAMB_FusedMatchesEager_NoWorseThanAdamandFTTransformerClassifierTests.Train_ReducesCrossEntropy...failed only beside other classes and passed alone.AiModelBuildernow keeps a current CPU engine on a CPU configuration.TestEngines.EnsureCpu().Test-CiImpactWorkflow.ps1still requiredADNSHAPE_CONF_OFFSET/BUDGETon the 34 conformance shards after the move to name-keyed windows. That was 68 failures in a script the Build job runs.Verification (local, CPU engine)
Unassigned - 01Unassigned - 02Test-CiImpactWorkflow,Test-TestImpactEndToEnd,Test-SelectAffectedTestsInertPaths,-Passthrough,Test-CiGateModes,Test-CiWorkloads,Test-CiPolicyImpact,Test-AuxiliaryInventory,Test-ShardManifestDriftThe
Unassignedresult is one full pass; a second pass was cut short by machine memory pressure. CI reruns both shards on this head.Known local-only failure:
QuantumStateEncodingRegressionTestsfails whenAIDOTNET_DISABLE_GPU=1is set, which no CI shard sets.Not in this PR
Plan and review: https://claude.ai/code/artifact/ed450972-321c-4aa4-bc02-c9ed39fd01a7
🤖 Generated with Claude Code
https://claude.ai/code/session_017otuSGr3GdmvPoYLbiaWR2
Summary by CodeRabbit
.editorconfigfiles now trigger compilation without selecting test shards.