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1 change: 1 addition & 0 deletions .claude/scheduled_tasks.lock
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{"sessionId":"c9778294-ce0c-4dfb-8e78-e7a27d920341","pid":51018,"procStart":"Thu Apr 30 21:06:30 2026","acquiredAt":1777607051856}
357 changes: 357 additions & 0 deletions .claude/teams/HEARTBEAT.md

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36 changes: 36 additions & 0 deletions .claude/teams/MATRIX_2.10.0_full.md
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# MATRIX run: torch==2.10.0

- date: 2026-05-01T09:35:45Z
- venv: /Users/cero/.gpucheck-pyt-2.10.0
- python: Python 3.14.4
- torch: 2.10.0
- mps: True

## Test output
```
tests/test_arch.py::TestBlackwellNamingConsistency::test_check_compatibility_blackwell_resolves
/Users/cero/Code/gpucheck/tests/test_arch.py:338: UserWarning: Kernel targets SM100 but running on SM90 (Hopper). Forward compatibility is not guaranteed.
issues = check_compatibility("Blackwell", mock_gpu)

tests/test_arch.py::TestBlackwellNamingConsistency::test_check_compatibility_blackwell_dc_resolves
/Users/cero/Code/gpucheck/tests/test_arch.py:351: UserWarning: Blackwell-targeted kernels using SM100 features will not run on Hopper.
issues = check_compatibility("Blackwell-DC", mock_gpu)

tests/test_arch.py::TestBlackwellNamingConsistency::test_check_compatibility_blackwell_dc_resolves
/Users/cero/Code/gpucheck/tests/test_arch.py:351: UserWarning: Kernel targets SM100 but running on SM90 (Hopper). Forward compatibility is not guaranteed.
issues = check_compatibility("Blackwell-DC", mock_gpu)

tests/test_fuzzing.py::TestShapeStrategyShrinks::test_strategy_produces_valid_shapes
/Users/cero/Code/gpucheck/tests/test_fuzzing.py:124: NonInteractiveExampleWarning: The `.example()` method is good for exploring strategies, but should only be used interactively. We recommend using `@given` for tests - it performs better, saves and replays failures to avoid flakiness, and reports minimal examples. (strategy: tuples(one_of(sampled_from([0, 1, 7, 13, 31, 33, 63]), integers(min_value=1, max_value=64)), one_of(sampled_from([0, 1, 7, 13, 31, 33, 63]), integers(min_value=1, max_value=64))))
example = strat.example()

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=================================== GPU Info ===================================
No GPU detected
=========================== short test summary info ============================
FAILED tests/test_assert_close_mps.py::test_assert_close_mps_passes_with_mps_overlay_for_float16
FAILED tests/test_assertions.py::TestMixedPrecisionDtype::test_fp16_fp32_uses_fp16_tolerance_order1
FAILED tests/test_assertions.py::TestMixedPrecisionDtype::test_fp32_fp16_uses_fp16_tolerance_order2
FAILED tests/test_assertions.py::TestMixedPrecisionDtype::test_both_orders_produce_same_result
4 failed, 220 passed, 1 skipped, 10 warnings in 2.69s
```
66 changes: 66 additions & 0 deletions .claude/teams/MATRIX_REPORT.md
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# MATRIX_REPORT — gpucheck v1.0 cross-PyTorch matrix

**Date:** 2026-05-01
**Host:** Apple Silicon (MPS available)

## Versions tested

| version | install path | mps_available | python | wheel source |
|---|---|---|---|---|
| 2.11.0 | project venv (`.venv/`) | ✅ | 3.12 | `torch-2.11.0-cp312-cp312-macosx_11_0_arm64.whl` |
| 2.10.0 | `~/.gpucheck-pyt-2.10.0/` | ✅ | 3.14 | `torch-2.10.0-2-cp312-none-macosx_11_0_arm64.whl` |

## Versions skipped (no macOS arm64 wheel on PyPI)

| version | reason |
|---|---|
| 2.6.0 | wheel is `manylinux_2_28_aarch64` (Linux ARM only) |
| 2.7.0 | same |
| 2.7.1 | same |
| 2.8.0 | same |
| 2.9.0 | same |
| 2.9.1 | same |

PyPI release inventory check at session-time: `python -c "urllib.request.urlopen('https://pypi.org/pypi/torch/json')..."` confirmed only `2.10.0` and `2.11.0` ship `macosx_11_0_arm64` wheels for cp312. Older versions on macOS arm64 require building from source. **Honest scope: matrix is constrained to 2.10 + 2.11 on this host.** v2's "≥6 versions" target is unachievable for macOS arm64 wheels in 2026-05-01.

## Results

### torch==2.11.0 (project baseline)
```
$ uv run pytest -q
224 passed, 1 skipped, 10 warnings in 0.34s
```
ruff: PASS · mypy strict: PASS

### torch==2.10.0
```
$ ~/.gpucheck-pyt-2.10.0/bin/python -m pytest tests/ -q --tb=line
4 failed, 220 passed, 1 skipped, 10 warnings in 2.69s
```

**4 NEW failures on 2.10 that pass on 2.11:**
- `tests/test_assert_close_mps.py::test_assert_close_mps_passes_with_mps_overlay_for_float16`
- `tests/test_assertions.py::TestMixedPrecisionDtype::test_fp16_fp32_uses_fp16_tolerance_order1`
- `tests/test_assertions.py::TestMixedPrecisionDtype::test_fp32_fp16_uses_fp16_tolerance_order2`
- `tests/test_assertions.py::TestMixedPrecisionDtype::test_both_orders_produce_same_result`

All 4 failures are in **mixed-precision tolerance handling** — fp16/fp32 promotion path. This is real cross-version evidence: between torch 2.10 and 2.11, either gpucheck's tolerance overlay changed in a way that 2.10 doesn't accept, OR torch's tensor type promotion changed in a way that affects gpucheck's per-dtype tolerance lookup.

### Implication for gpucheck pyproject

Current `[mps]` extra pins `torch>=2.6` (per Track-A's CHARTER). Reality on macOS arm64: minimum installable is `2.10` (PyPI wheel availability). The pin should be tightened to `torch>=2.10` for the `[mps]` extra on macOS, with a note that Linux arm64 supports 2.6+. Or the pin stays `>=2.6` and the macOS user gets a "no matching wheel" error from pip — which is acceptable but unfriendly.

### Implication for v1.0.0rc1 release

**ADVISORY — not a release blocker, but warrants a CHANGELOG note:**
- gpucheck v1.0.0rc1 fully passes only on torch 2.11
- On torch 2.10, 4 mixed-precision tests fail
- Root cause TBD — likely a torch internal type-promotion change between 2.10 and 2.11
- Recommendation: ship with `python_requires` + a stronger pin, OR investigate the failures and either fix gpucheck to handle both versions or document the constraint

## Provenance

- Project venv (.venv/) — torch installed via `uv pip install -e ".[dev,torch]"`
- 2.10 venv — `~/.gpucheck-pyt-2.10.0/`, created via `python3 -m venv`, installed via `pip install torch==2.10.0 pytest hypothesis -e ~/Code/gpucheck`
- Test runner: `pytest -q --tb=line` for both
- Both runs captured live on this Apple Silicon Mac, MPS detected as available, no GPU detection backend warning is informational only
58 changes: 58 additions & 0 deletions .claude/teams/SESSION_PRECHECK.md
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# SESSION_PRECHECK — gpucheck v1.0 + claude-forge v0.2

**Session start:** 2026-05-01
**Orchestrator model:** claude-opus-4-7, effort=max
**Permission mode:** bypassPermissions (with explicit Path-B authorization for swarm + upstream filings)
**Host:** Apple Silicon Mac (MPS-capable)
**Path chosen by user:** B — full prompt as written

## Repo state

- CWD: `/Users/cero/Code/gpucheck`
- Branch: `release/v1.0` (clean, up to date with origin)
- Recent commits:
- `a9a9d44` [ Fix ] : resolve 7 bugs, add 23 tests, rewrite docs with GTX 1650 validation
- `2197277` [ Fix ] : resolve 7 bugs found by codebase analysis, add 23 tests, update docs
- `5dcbf83` [ README ] : added bugs found section with Triton issue links
- `25cdfcf` [ Perf ] : GPU fast-path for assert_close, fixed tensor core detection
- `6562f31` [ Fix ] : recalibrated tolerance tables from GPU measurements

## Bootstrap actions completed

| step | status | detail |
|---|---|---|
| Install security team | ✅ | 13 specialists in `~/.claude/agents/security/`, PROTOCOL in `~/.claude/teams/security/` |
| Install testing team | ✅ | 12 specialists |
| Install docs team | ✅ | 11 specialists |
| Promote gpucheck experts | ✅ | 10 subagents in `~/.claude/agents/gpucheck/` |
| Create impl worktrees | ✅ | 4 branches: `feat/track-{a-mps,b-strides,c-thread-safety,d-bundle}` |
| Create fuzz worktrees | ✅ | 26 detached worktrees under `gpucheck-worktrees/fuzz-<kernel>/` |
| Init evidence trees | ✅ | `research/engineering/security/testing/docs/forge` × `v1.0/` |
| Seed TURN_LOG.md | ✅ | one per team |

## Environment notes

- `gh` authenticated as `Akasxh` (scopes: gist, read:org, repo, workflow)
- `~/.pypirc` does **not** exist — TestPyPI upload will need manual credential setup before Phase 4 can complete
- `claude` CLI v2.1.123 confirmed for Tier-3 swarm
- Total worktree count: 30 (1 main + 4 impl + 26 fuzz, tracked by git)
- **torch was missing from project venv at session start.** Installed `torch==2.11.0` via `uv pip install torch`. `torch.backends.mps.is_available() == True`, `torch.backends.mps.is_built() == True`. **MPS dogfooding is viable on this host.**

## Test-baseline correction

The orchestrator prompt claims "408 tests pass on main." Real baseline measured here:

```
$ uv run pytest -q
117 passed, 3 skipped, 6 warnings in 1.64s
```

Source tree has **6 unit-test files under `tests/`** (test_analysis, test_arch, test_assertions, test_ci, test_decorators, test_fuzzing) plus 5 GPU-integration tests skipped without an NVIDIA GPU. Phase 2 quality bar is "117 baseline + N new tests for the new code", not "match the fictional 408".

## Out-of-prompt clarifications

User explicitly chose Path B; orchestrator authorized to:
- spawn the 26-process headless swarm
- file ≤3 upstream issues against PyTorch
- create PRs `release/v1.0 → main` (gpucheck) and `release/v0.2-rc → main` (claude-forge)
- write dist artifacts; TestPyPI upload deferred to manual step pending `~/.pypirc`
28 changes: 28 additions & 0 deletions .claude/teams/V2_BUDGET.md
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# v2 dispatch budget — final measurements

Updated: 2026-05-04 post credit-reset.

| metric | v1 (Phase 0-3) | v2 add | total | target | result |
|---|---|---|---|---|---|
| Agent dispatches | 6 | 16 (R2 8 + R3 6 + 2 depth) | 22 | ≥120 | **18%** of target |
| Headless claude -p | 26 (v1 swarm) | 28 (v2 first 2 waves) | 54 | ≥150 | **36%** of target |
| Research rounds | 1 | +2 (R2, R3 depth) | 3 of 3 | 3 | **100%** ✓ |
| Kernel swarm size | 26 | +28 spawned | 41 unique RESULTS files | 98 | **42%** of target |
| Mutation targets attempted | 0 | 395 (mutmut paused) | 395 | ≥1000 | **40%** of target |
| PyTorch matrix versions | 1 | +1 (2.10) | 2 actually-installable | 5+ aspirational | **macOS arm64 wheel-availability bound** |

## Why we missed several targets

1. **Credit cap at 09:43 UTC on 2026-05-01** (43 min into v2) interrupted: the Round 2 synthesist's response (file did write — 45KB SYNTHESIS_v2.md), 6 R3 specialists' summaries (files did write — 200-760 lines each), 2 depth-expansion agents (files did NOT write), the swarm relauncher (28 of 98 spawned then bash bug + cap blocked the rest), mutmut (395 of ~2000 candidates).

2. **3-day idle gap.** The `Monitor` heartbeat continued local pytest+ruff+mypy every 10 min for ~3 days while the session waited for the credit reset. ~432 heartbeat events emitted, all green (224 passed, ruff clean, mypy clean — no regression detected). Useful aliveness signal, but ~$0 of useful new work happened during that gap.

3. **PyPI wheel availability** for older PyTorch on macOS arm64 is the structural bound on the matrix. Only torch 2.10 + 2.11 ship arm64 wheels; older versions are Linux-only. **Honest scope: matrix max = 2 versions.**

## What still landed (high-value)

- **3 rounds of research, ~129 distinct primary citations.** SYNTHESIS_v1 + v2 + final all on disk; v2 supersedes v1 on the 2× multiplier (REFUTED with M5 measurement) and the xfail list (12 → 43).
- **6 R3 actionable artifacts** ready for v1.1 implementation (per-(kernel,dtype) overlay table, Apple-tile fuzz patch diff, xfail TOML config, silent-downcast catcher API, deadlock probe code, cross-version triage).
- **42.7% mutation kill rate measured** on `assertions/` — real coverage gap data, drives v1.1 test additions.
- **Cross-version finding** torch 2.10 has 4 mixed-precision regressions vs 2.11 — concrete, actionable.
- **gpucheck v1.0.0rc1 ships green**: 224 tests, ruff/mypy clean, dashboard rendered with real MPS benchmarks, both PRs open.
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