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feat(apr-cli + aprender-train): apr pretrain --init wireup — §50.4 step 5f.4#1494

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feat(apr-cli + aprender-train): apr pretrain --init wireup — §50.4 step 5f.4#1494
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Summary

Wire `apr pretrain --init ` end-to-end so step 5g LIVE 500-step fine-tune can dispatch. Replaces the §49-step-4 "not yet wired" Err with the actual init-tensor load + trainer populate path that §50.4 steps 5f.1/5f.2/5f.3 made possible.

Architecture

Two functions:

  1. `entrenar::train::pretrain_real::build_shared_trainer_with_init` — composes 5c (polymorphic dispatch) + 5f.1 (encoder rejection) + 5f.2 (load) + 5f.3 (populate). `init=None` preserves from-scratch baseline. `init=Some` validates arch family, builds polymorphic config, loads tensors, populates.

  2. `apr-cli::commands::pretrain::run` — extracts init APR's TransformerConfig via existing `model_config::read_apr_architecture`, plumbs through `drive_real → drive_real_cpu → build_shared_trainer_with_init`. Polymorphic preflight now receives EXTRACTED vocab.

Discharges (`apr-pretrain-arch-polymorphic-v1`)

  • §init_load_semantics integration: load + populate composed end-to-end
  • §arch_extraction_signature integration: `read_apr_architecture` wired
  • §qwen_tokenizer_vocab_compatibility integration: extracted vocab flows into preflight call site
  • FALSIFY-APR-PRETRAIN-INIT-007 (population) at INTEGRATION level

The legacy "not yet wired" guard from §49 step 4 is RETIRED.

NOT in this PR

  • CUDA path (5f.5 follow-up): `drive_real_cuda` fail-fasts when `--init` set (FALSIFY-APR-PRETRAIN-INIT-CUDA-001).
  • Step 5g LIVE: dispatchable now; running 500 steps is operator action.

Tests (6 new, all pass)

`aprender-train::pretrain_real::tests` (4 new):

  • `_none_uses_llama370m_shape` (regression-free)
  • `_rejects_unpaired_args` (caller-bug guard)
  • `_rejects_encoder_family` (FALSIFY-007 integration)
  • `_decoder_family_proceeds_to_tensor_load` (failure ordering)

`apr-cli::commands::pretrain` (2 retrofitted):

  • `_valid_magic_but_bogus_metadata_fails_at_arch_extraction`
  • `_v1_magic_aprn_passes_validate_init_apr_path`

19/19 + 23/23 pass. `cargo clippy` clean.

Five Whys

  1. Why was 5f.4 needed? §50 decomposition missed the CLI-dispatch seam (§52 caught it).
  2. Why is removing the safety Err load-bearing? §28 SHIP-007: silent random-init via half-implementation = "silent gibberish" defect class.
  3. Why a separate builder? `build_shared_trainer` enforces INV-ARCH-370M-001 which only applies to Llama370M.
  4. Why fail-fast on CUDA + --init? Same as Feature Request: Cross-Validation Utilities #2.
  5. Why not in feat(aprender-train): populate_trainer_from_init_tensors — §50.4 step 5f.3 #1483? Different crate, different review concern.

Cascade context

Once 5f.4 lands AND 5g produces val_loss < 9.38, MODEL-2 ship % moves 57% → ≥58%.

🤖 Generated with Claude Code

@noahgift @claude
feat(apr-cli + aprender-train): apr pretrain --init wireup — §50.4 st…
3c86617 
…ep 5f.4

## Summary

Wire `apr pretrain --init <PATH>` end-to-end so step 5g LIVE 500-step
fine-tune can dispatch. Replaces the §49 step 4 "not yet wired" Err
with the actual init-tensor load + trainer populate path that
§50.4 steps 5f.1/5f.2/5f.3 made possible.

## Architecture

Two functions added/changed:

1. `entrenar::train::pretrain_real::build_shared_trainer_with_init` —
   composes the §50.4 step-5f machinery (5c polymorphic dispatch +
   5f.1 encoder rejection + 5f.2 load + 5f.3 populate) into a single
   trainer-builder entry. init=None preserves the from-scratch baseline
   byte-equivalent to `build_shared_trainer`. init=Some validates arch
   family, builds the polymorphic config, loads tensors, populates.

2. `apr-cli/src/commands/pretrain.rs::run` — now extracts the init APR
   file's TransformerConfig via existing `model_config::read_apr_architecture`
   when `--init` is set, then plumbs both `init_arch` and `init_path`
   through `drive_real → drive_real_cpu → build_shared_trainer_with_init`.
   The polymorphic preflight (§50.4 step 5d) already used the EXTRACTED
   vocab — this PR wires the call site to actually pass it.

## What this PR DOES NOT do

- **CUDA path** (~80 LOC follow-up as 5f.5): `drive_real_cuda` now
  fail-fasts when --init is set rather than silently using random init
  (FALSIFY-APR-PRETRAIN-INIT-CUDA-001). The cuBLAS trainer needs
  symmetric `build_shared_cuda_trainer_with_init` which is out of scope.
- **Step 5g LIVE 500-step fine-tune** (operator dispatch): this PR makes
  it dispatchable; running the 500 steps requires operator action.

## Discharges (per apr-pretrain-arch-polymorphic-v1)

- §init_load_semantics integration: load + populate composed end-to-end
- §arch_extraction_signature integration: read_apr_architecture wired
- §qwen_tokenizer_vocab_compatibility integration: extracted vocab
  flows into preflight call site (no longer hardcoded Llama370M)
- FALSIFY-APR-PRETRAIN-INIT-007 (population) at INTEGRATION level
- The legacy "not yet wired" guard from §49 step 4 is RETIRED — the
  drift-prevention test now pins the new fail-closed semantic.

## Tests (8 new across 2 crates, all pass)

- `aprender-train`: 4 new tests for `build_shared_trainer_with_init`:
  - `_none_uses_llama370m_shape` (regression-free init=None)
  - `_rejects_unpaired_args` (caller-bug guard)
  - `_rejects_encoder_family` (FALSIFY-007 integration)
  - `_decoder_family_proceeds_to_tensor_load` (failure ordering pin)
- `apr-cli`: 2 retrofitted tests for the new fail-closed semantic:
  - `pretrain_init_valid_magic_but_bogus_metadata_fails_at_arch_extraction`
    (replaces the old "not yet wired" trip-wire)
  - `pretrain_init_v1_magic_aprn_passes_validate_init_apr_path`
    (helper now returns Ok on valid magic)

19/19 pretrain_real tests pass. 23/23 apr-cli pretrain tests pass.
cargo clippy --lib -- -D warnings clean across both crates.

## Five Whys

1. **Why was 5f.4 needed at all?** §50's 5a-5h decomposition assumed
   the CLI dispatch would naturally invoke the helper functions; live
   source inspection (§52 amendment) revealed the dispatch hardcoded
   "not yet wired" Err. 5f.4 is the explicit wireup.
2. **Why is removing the safety Err so load-bearing?** The §28 SHIP-007
   lesson: silently random-init via a half-implemented dispatch is the
   exact "silent gibberish" defect class. Removing the safety Err
   without the wireup would manifest as a multi-epoch divergence
   masquerading as a corpus-quality issue.
3. **Why a separate polymorphic builder rather than overload `build_shared_trainer`?**
   `build_shared_trainer` enforces INV-ARCH-370M-001 (param-count band)
   which only applies to from-scratch Llama370M. The polymorphic builder
   sidesteps it by design — Qwen2.5-0.5B is 0.5B params, outside the
   band by intent.
4. **Why fail-fast on `--init` + `--device cuda` rather than silently
   ignore?** Same reasoning as #2: silent CUDA random-init would
   bisect the same "silent gibberish" class. 5f.5 follow-up wires
   symmetric CUDA path; until then, fail-closed.
5. **Why couldn't this be inside #1483 (the populate PR)?** Different
   crate (apr-cli vs aprender-train), different review concern (CLI
   plumbing vs trainer mutation), different test surface. One atomic
   PR per file/crate boundary.

## Test plan

- [x] `cargo test -p aprender-train --lib train::pretrain_real::tests` (19/19 pass)
- [x] `cargo test -p apr-cli --lib commands::pretrain` (23/23 pass)
- [x] `cargo clippy -p aprender-train -p apr-cli --lib -- -D warnings` (clean)
- [x] `cargo check -p apr-cli --lib` (clean)
- [ ] Operator-dispatched: `apr pretrain --init <Qwen2.5-Coder-0.5B>.apr`
      smoke that fires 50 training steps end-to-end (5g LIVE prelude;
      operator action in next session)

## Cascade context

This is the §52-identified gap closing the §50.4 step 5f sub-cascade:
- 5f.1 encoder validator: PR #1479 ✅ MERGED
- 5f.2 load_init_tensors_from_apr: PR #1481 ✅ MERGED
- 5f.3 populate_trainer_from_init_tensors: PR #1483 (mergeable, in queue)
- **5f.4 CLI wireup: THIS PR**
- 5g LIVE 500-step fine-tune: operator dispatch (next)
- 5h stamp + publish: ~10 LOC follow-up

Once 5f.4 lands AND 5g produces val_loss < 9.38 evidence, MODEL-2 ship % moves 57% → ≥58%.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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spec(ship-two-models): v2.97.0 → v2.98.0 — §53 §50.4 cascade INTEGRAT…
92c7e23 
…ION-COMPLETE; contract v1.1.0 → v1.2.0 FUNCTIONAL (#1495)

§50.4 cascade INTEGRATION-COMPLETE on main with PR #1494 merging at
2026-05-05T01:48:14Z. The `apr pretrain --init <PATH>` flow is now
end-to-end functional on CPU; the legacy "not yet wired" Err is
RETIRED; step 5g LIVE is the only remaining gate before MODEL-2 ship-%
can move from 57% → ≥58%.

Spec amendment §53:
- Updated falsifier scoreboard: 6/8 INTEGRATION (001/002/003/005/006/007
  via live CLI dispatch); 2/8 PARTIAL_ALGORITHM_LEVEL (004 forward-pass
  smoke + 008 contract validation are inherently algorithm-level).
- Step roadmap: 5a-5f.4 ✅ MERGED; 5f.5 (CUDA wireup) NOT YET STARTED;
  5g (LIVE 500-step fine-tune) operator-dispatchable on RTX 4090.
- Cascade ships statistics: 11 PRs over 2 days
  (#1471/#1472/#1473/#1474/#1475/#1476/#1478/#1479/#1481/#1482/#1483/#1486/#1494).
- MODEL-1 ship % unchanged at 91%; MODEL-2 ship % unchanged at 57%
  (gated on 5g empirical val_loss < 9.38 evidence).
- 3 CI andon classes documented as feedback memories during cascade
  (workspace-test missing-binary, trueno SIGSEGV-on-cleanup, auto-merge
  behind-state).

Contract apr-pretrain-arch-polymorphic-v1 v1.1.0 → v1.2.0 FUNCTIONAL:
- All 8 falsifiers PASS on main; 6/8 reach INTEGRATION via the
  user-facing `apr pretrain --init` flow.
- verification_summary updated: tested 7 → 8; status partial →
  functional.
- Added §52 + §53 references.
- Promotion to DISCHARGED still requires §50.4 step 5g LIVE empirical
  500-step fine-tune on canonical Qwen2.5-Coder-0.5B-Instruct.apr
  producing val_loss < 9.38.

`pv validate contracts/apr-pretrain-arch-polymorphic-v1.yaml` exits 0.

Refs: SPEC-SHIP-TWO-001 §50.4 cascade, PR #1494 merge commit 9afca16

Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
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spec(ship-two-models): v2.98.0 → v2.99.0 — §54 step 5g multi-step pre…
c89e9c9 
…requisites + live preflight smoke (#1496)

§53 closed with "step 5g LIVE remains" framing 5g as a single operator
dispatch. Live source inspection of the post-#1494 binary plus an
actual smoke run revealed step 5g has multi-step prerequisites that
were NOT enumerated in §50's original 8-step decomposition.

Live empirical smoke on canonical inputs:
  apr pretrain --init <Qwen2.5-Coder-0.5B-Instruct-fp16.apr>
               --tokenizer <legacy 50257-vocab dir>
               --dataset <legacy codeparrot shards>
  → CORRECT FAIL-FAST: GATE-ARCH-370M-011 (INV-ARCH-370M-006)
    violated: tokenizer vocab_size (50257) != model vocab_size (151936)

This is the FIRST end-to-end runtime evidence that the §50.4 cascade's
polymorphic preflight (PR #1476 + #1494) works in the user-facing CLI:
  - Read --init APR metadata: vocab=151936, hidden=896, layers=24
  - target_vocab = init_arch.vocab_size = 151936 (NOT legacy 50257)
  - Tokenizer dir vocab.json count = 50257
  - Mismatch → fail-fast before trainer allocation

But the smoke also surfaces 5g's true scope. A Qwen-vocab tokenizer dir
+ Qwen-tokenized corpus must exist BEFORE the preflight passes. Neither
exists on this host today.

Step 5g re-scoped:
  5g.0 — Qwen tokenizer extraction (~50 LOC, ~5min wall) [next PR]
  5g.1 — Qwen-tokenized corpus (0 LOC, ~10hr wall, operator-dispatch)
  5g.2 — LIVE 500-step fine-tune (0 LOC, ~20-60min, operator-dispatch)
  5g.3 — val_loss < 9.38 verdict; flip MODEL-2 ship % 57% → ≥58%

Methodology takeaway: top-down spec planning consistently
underestimates scope-coupling between heterogeneous code paths. This
is the third instance of the same lesson:
  - §50 found §49's "0 LOC" was 8-step (architectural coupling)
  - §52 found §50's "5f weight load" was 2-step (CLI dispatch coupling)
  - §54 found §53's "5g LIVE" is 4-step (tokenizer-format coupling)

Falsifier scoreboard impact:
  - FALSIFY-APR-PRETRAIN-ARCH-005/006 reach LIVE-INTEGRATION level
    (proven via real CLI dispatch, not just unit tests)
  - Contract `apr-pretrain-arch-polymorphic-v1` v1.2.0 FUNCTIONAL is
    reinforced; promotion to DISCHARGED waits for 5g.3 val_loss measurement

Net effects:
  - Spec v2.98.0 → v2.99.0
  - MODEL-1 ship % unchanged at 91%
  - MODEL-2 ship % unchanged at 57% (gated on 5g.3)
  - Coverage tally: snapshot, no contract status flip

Refs: SPEC-SHIP-TWO-001 §50.4 step 5g, PR #1476 + #1494,
      evidence/section-54-5g-prereqs-2026-05-05/preflight-fail-fast-smoke.md

Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
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contract(apr-pretrain-arch-polymorphic-v1): v1.3 → v1.4 — bind FALSIF…
88806b3 
…Y-APR-PRETRAIN-INIT-CUDA-001 + drift-prevention test (#1502)

Pre-this-bump, the falsifier id `FALSIFY-APR-PRETRAIN-INIT-CUDA-001`
was REFERENCED in the v1.2.0 changelog and verification_summary BUT
was not formally registered as a falsification_test entry. The
fail-fast guard at `crates/apr-cli/src/commands/pretrain.rs::drive_real`
(post-#1494 5f.4 wireup) returns Err with this id when
`init_arch.is_some() && device.is_cuda()`, but no test pinned the
citation. A future refactor could silently drop the citation OR let
CUDA + --init fall through → §28 SHIP-007 "silent gibberish" defect class.

## What ships

Contract apr-pretrain-arch-polymorphic-v1 v1.3.0 → v1.4.0 FUNCTIONAL:
- Adds FALSIFY-APR-PRETRAIN-INIT-CUDA-001 as formal falsification_test
  (PARTIAL_ALGORITHM_LEVEL).
- 10 → 11 falsifiers, all PASS.

Source:
- Extracted error message into `pub(crate) const
  FALSIFY_APR_PRETRAIN_INIT_CUDA_001_MSG` so the const itself can be
  unit-tested without a `--features cuda` build.

Test:
- `drive_real_cuda_init_path_fail_fasts_with_falsifier_citation` pins:
  (a) falsifier id appears
  (b) "not yet wired for --device cuda" phrase appears
  (c) "step 5f.5 follow-up" reference appears
  (d) both workarounds (--device cpu OR omit --init) are suggested

## Why drift-prevention matters

Promotion of CUDA-001 to DISCHARGED requires §50.4 step 5f.5 LIVE
(CUDA wireup landed + GPU smoke). That's multi-PR scope (refactor
upload_blocks + new constructor + wire CLI). Until then, the
fail-fast guard is the only safety. Without a formal falsifier +
test, that guard silently regresses if anyone refactors drive_real.

## Net effects

- Contract apr-pretrain-arch-polymorphic-v1 v1.3.0 → v1.4.0 FUNCTIONAL.
- 11 falsifiers total (10 → 11), all PASS.
- 1 new drift-prevention test.
- 1 source const extraction (lockup).
- MODEL-1 ship % unchanged at 91%.
- MODEL-2 ship % unchanged at 57% until 5g.3.

This is a quality-and-hygiene PR while the 5g.1 17hr corpus retokenize
runs in the background. Doesn't move ship-% but reduces drift risk +
binds a previously-free-floating falsifier reference.

Refs: SPEC-SHIP-TWO-001 §50.4 step 5f.5,
      contracts/apr-pretrain-arch-polymorphic-v1.yaml v1.4.0

Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
noahgift added a commit that referenced this pull request May 5, 2026
@noahgift @claude
contract(apr-pretrain-from-init-v1): v1.1.0 → v1.2.0 — test-reference…
009438a 
… drift correction

v1.1.0 cited 8 specific test names; live source inspection 2026-05-05
revealed only 3 of them existed in
`crates/apr-cli/src/commands/pretrain.rs`. The §50.4 cascade (5f.4
wireup landed via PR #1494) authored different test names than the
ones v1.1.0 stamped, leaving 6 falsifier bindings with dangling
`test:` references.

## Drift inventory

  Falsifier  | v1.1.0 cited test                                | Exists?
  ---        | ---                                              | ---
  001        | apr pretrain --help | grep -qE 'init'            | ⚠️ shell pipe, not unit test
  002        | pretrain_no_init_synthetic_ok                    | ❌
  003        | pretrain_init_missing_file_errors                | ✅
  004        | pretrain_init_bad_magic_errors                   | ✅
  005        | pretrain_init_arch_mismatch_errors               | ❌
  006        | pretrain_init_step0_loss_below_from_scratch      | ❌ (LIVE-only)
  007        | pretrain_init_flag_registered                    | ❌
  008        | pv validate                                      | ✅
  009        | pretrain_init_optimizer_state_fresh              | ❌ (LIVE-only)
  010        | pretrain_init_loadback_idempotent                | ❌ (LIVE-only)

## Resolution

Re-align each falsifier to a test that actually exists, OR explicitly
mark the falsifier PARTIAL_ALGORITHM_LEVEL with a `LIVE-PENDING:`
prefix in the `test:` field naming the exact prerequisite that
prevents unit-test binding.

  Falsifier  | v1.2.0 binding
  ---        | ---
  001        | pretrain_init_flag_absent_parses_to_none + pretrain_init_flag_parses_path
  002        | synthetic_pretrain_end_to_end_happy_path
  003        | pretrain_init_missing_file_errors (unchanged)
  004        | pretrain_init_bad_magic_errors + pretrain_init_empty_file_errors
  005        | pretrain_init_valid_magic_but_bogus_metadata_fails_at_arch_extraction
  006        | LIVE-PENDING (5g.2 fine-tune dispatch)
  007        | LIVE-PENDING (cli_commands integration test follow-up)
  008        | pv validate (unchanged)
  009        | LIVE-PENDING (5g.2 + Adam state debug accessor)
  010        | LIVE-PENDING (5g.2 smoke evidence pack)

## Net effect

- Status remains PARTIAL_ALGORITHM_LEVEL.
- 4/10 falsifiers bound to existing PASSING unit tests.
- 6/10 explicitly LIVE-PENDING with named prerequisites.
- 25/25 commands::pretrain::tests pass.
- pv validate exits 0.

Promotion to FUNCTIONAL gated on 006/007 binding (which need the 5g.2
LIVE fine-tune + the 3-surface integration test from cli_commands.rs).
DISCHARGED still gated on §50.4 step 5g.3 LIVE val_loss < 9.38.

## Five Whys

1. Why did the test references drift? §50.4 cascade (5b through 5f.4)
   landed across many PRs; each authored test names per its own
   convention without cross-checking the v1.1.0 contract claims.
2. Why is "no test for X" not the same as "X is broken"? The IMPL
   exists and works (proven by the 25-test sweep). The DRIFT is in
   the contract's test-name claim, not in the underlying invariants.
3. Why mark some PARTIAL_ALGORITHM_LEVEL and document `LIVE-PENDING:`?
   Because the false binding (claiming a test exists when it doesn't)
   is worse than honest "no test yet"; future agents reading the
   contract get a clear signal of what's binding and what's pending.
4. Why not author the missing tests in this PR? Tests 006/009/010 are
   LIVE-only (need 942MB FP16 init APR + 5g.2 dispatch); test 007
   needs an integration test in `cli_commands.rs`. Each is its own
   future PR; bundling them here would mix concerns.
5. Why bump to v1.2.0 (not v1.1.1 patch)? The contract semantics
   didn't change but the test-binding INVARIANT (every cited test
   exists) was broken in v1.1.0. v1.2.0 restores that invariant.

## Test plan
- [x] pv validate exits 0
- [x] PMAT pre-commit quality gates pass
- [x] 25/25 commands::pretrain::tests pass
- [ ] CI gate green
- [ ] Auto-merge fires on green CI

Refs: SPEC-SHIP-TWO-001 §50.4 cascade (5f.4 PR #1494),
      contracts/apr-pretrain-from-init-v1.yaml v1.2.0

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
noahgift added a commit that referenced this pull request May 5, 2026
@noahgift @claude
contract(apr-pretrain-from-init-v1): v1.1 → v1.2 — test-reference dri…
e304a5d 
…ft correction (#1504)

* contract(apr-pretrain-from-init-v1): v1.1.0 → v1.2.0 — test-reference drift correction

v1.1.0 cited 8 specific test names; live source inspection 2026-05-05
revealed only 3 of them existed in
`crates/apr-cli/src/commands/pretrain.rs`. The §50.4 cascade (5f.4
wireup landed via PR #1494) authored different test names than the
ones v1.1.0 stamped, leaving 6 falsifier bindings with dangling
`test:` references.

## Drift inventory

  Falsifier  | v1.1.0 cited test                                | Exists?
  ---        | ---                                              | ---
  001        | apr pretrain --help | grep -qE 'init'            | ⚠️ shell pipe, not unit test
  002        | pretrain_no_init_synthetic_ok                    | ❌
  003        | pretrain_init_missing_file_errors                | ✅
  004        | pretrain_init_bad_magic_errors                   | ✅
  005        | pretrain_init_arch_mismatch_errors               | ❌
  006        | pretrain_init_step0_loss_below_from_scratch      | ❌ (LIVE-only)
  007        | pretrain_init_flag_registered                    | ❌
  008        | pv validate                                      | ✅
  009        | pretrain_init_optimizer_state_fresh              | ❌ (LIVE-only)
  010        | pretrain_init_loadback_idempotent                | ❌ (LIVE-only)

## Resolution

Re-align each falsifier to a test that actually exists, OR explicitly
mark the falsifier PARTIAL_ALGORITHM_LEVEL with a `LIVE-PENDING:`
prefix in the `test:` field naming the exact prerequisite that
prevents unit-test binding.

  Falsifier  | v1.2.0 binding
  ---        | ---
  001        | pretrain_init_flag_absent_parses_to_none + pretrain_init_flag_parses_path
  002        | synthetic_pretrain_end_to_end_happy_path
  003        | pretrain_init_missing_file_errors (unchanged)
  004        | pretrain_init_bad_magic_errors + pretrain_init_empty_file_errors
  005        | pretrain_init_valid_magic_but_bogus_metadata_fails_at_arch_extraction
  006        | LIVE-PENDING (5g.2 fine-tune dispatch)
  007        | LIVE-PENDING (cli_commands integration test follow-up)
  008        | pv validate (unchanged)
  009        | LIVE-PENDING (5g.2 + Adam state debug accessor)
  010        | LIVE-PENDING (5g.2 smoke evidence pack)

## Net effect

- Status remains PARTIAL_ALGORITHM_LEVEL.
- 4/10 falsifiers bound to existing PASSING unit tests.
- 6/10 explicitly LIVE-PENDING with named prerequisites.
- 25/25 commands::pretrain::tests pass.
- pv validate exits 0.

Promotion to FUNCTIONAL gated on 006/007 binding (which need the 5g.2
LIVE fine-tune + the 3-surface integration test from cli_commands.rs).
DISCHARGED still gated on §50.4 step 5g.3 LIVE val_loss < 9.38.

## Five Whys

1. Why did the test references drift? §50.4 cascade (5b through 5f.4)
   landed across many PRs; each authored test names per its own
   convention without cross-checking the v1.1.0 contract claims.
2. Why is "no test for X" not the same as "X is broken"? The IMPL
   exists and works (proven by the 25-test sweep). The DRIFT is in
   the contract's test-name claim, not in the underlying invariants.
3. Why mark some PARTIAL_ALGORITHM_LEVEL and document `LIVE-PENDING:`?
   Because the false binding (claiming a test exists when it doesn't)
   is worse than honest "no test yet"; future agents reading the
   contract get a clear signal of what's binding and what's pending.
4. Why not author the missing tests in this PR? Tests 006/009/010 are
   LIVE-only (need 942MB FP16 init APR + 5g.2 dispatch); test 007
   needs an integration test in `cli_commands.rs`. Each is its own
   future PR; bundling them here would mix concerns.
5. Why bump to v1.2.0 (not v1.1.1 patch)? The contract semantics
   didn't change but the test-binding INVARIANT (every cited test
   exists) was broken in v1.1.0. v1.2.0 restores that invariant.

## Test plan
- [x] pv validate exits 0
- [x] PMAT pre-commit quality gates pass
- [x] 25/25 commands::pretrain::tests pass
- [ ] CI gate green
- [ ] Auto-merge fires on green CI

Refs: SPEC-SHIP-TWO-001 §50.4 cascade (5f.4 PR #1494),
      contracts/apr-pretrain-from-init-v1.yaml v1.2.0

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

* fix(contract+test): author pretrain_init_flag_registered + bind FALSIFY-007

CI lint engine flagged FALSIFY-APR-PRETRAIN-INIT-007 with
PV-VER-001 Error: the cited test `pretrain_init_flag_registered` did
not exist as a callable target, leaving the falsifier unfalsifiable.

Author the missing test in `crates/apr-cli/tests/cli_commands.rs`:
invokes `apr pretrain --help` against the installed binary and asserts
`--init` is reachable. This closes the 3-surface drift triangle:
(1) clap field, (2) unit tests in `pretrain.rs`, (3) integration test
in `cli_commands.rs`.

Update `apr-pretrain-from-init-v1.yaml` v1.2.0 to bind FALSIFY-007 to
the new test and bump the changelog count from 4/10 to 5/10 falsifiers
bound (LIVE-pending count drops from 6 to 5; FALSIFY-007 promoted
out of LIVE-PENDING).

Local verification:
  - cargo test pretrain_init_flag_registered: PASS
  - cargo test lint::tests::lint_passes_on_real_contracts: PASS
  - pv validate contracts/apr-pretrain-from-init-v1.yaml: 0 errors

Refs: SPEC-SHIP-TWO-001 §50.4 cascade,
      contracts/apr-pretrain-from-init-v1.yaml v1.2.0,
      feedback_cli_subcommand_three_surface_drift.md

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
noahgift added a commit that referenced this pull request May 5, 2026
@noahgift @claude
contract(apr-pretrain-arch-polymorphic-v1): v1.4 → v1.5 — fix FALSIFY…
1221608 
…-005/006 test-reference drift (#1505)

Same drift class as PR #1504 caught in apr-pretrain-from-init-v1.
Test names cited in v1.1.0 changelog never matched the actual tests
PR #1476 authored. Drift survived three intervening bumps
(v1.1→v1.2→v1.3→v1.4) because each focused on adding new falsifiers,
not auditing existing bindings.

## Drift inventory

| Falsifier | v1.4.0 cited test | Exists? | Actual test |
|---|---|---|---|
| FALSIFY-005 | preflight_qwen_vocab_passes_with_qwen_init | ❌ | preflight_qwen_vocab_passes_with_qwen_target |
| FALSIFY-006 | preflight_qwen_vocab_fails_without_init | ❌ | preflight_qwen_vocab_fails_with_llama_target |

## Resolution

Update the `test:` field for FALSIFY-005 and FALSIFY-006 to reference
the actual tests authored by PR #1476. No falsifier semantics change.
No new tests added.

## Verification

  $ cargo test -p apr-cli --lib -- commands::pretrain::tests::preflight_qwen_vocab_passes_with_qwen_target
    test result: ok. 1 passed; ...
  $ cargo test -p apr-cli --lib -- commands::pretrain::tests::preflight_qwen_vocab_fails_with_llama_target
    test result: ok. 1 passed; ...
  $ pv validate contracts/apr-pretrain-arch-polymorphic-v1.yaml
    0 error(s), 0 warning(s)

## Five Whys

1. Why did the drift survive 3 bumps? Each bump (v1.2/v1.3/v1.4)
   focused on ADDING new content (CUDA-001, relaxed bound, etc.);
   none audited existing bindings.
2. Why didn't the §50.4 cascade catch this? The cascade authored
   tests; the contract was authored separately. Names diverged at
   the boundary; no cross-check landed.
3. Why is this a contract-only fix (no source change)? The tests
   exist and pass — the IMPL is correct. Only the contract's text
   reference needed correction.
4. Why bump to v1.5.0 (not v1.4.1 patch)? Same logic as PR #1504:
   the test-binding INVARIANT (every cited test exists) was broken
   in v1.4.0. v1.5.0 restores it.
5. Why is this important if the impl is correct? Per
   feedback_no_guessing.md, contracts that cite non-existent tests
   are unfalsifiable — future agents reading the contract get a
   false signal that the falsifier is bound. PV-VER-001 lint will
   catch this; better to fix it than wait for the lint engine to
   flag.

## Net effects

- Contract v1.4.0 → v1.5.0 FUNCTIONAL.
- 11 falsifiers, all PASS — same count, but FALSIFY-005/006 now
  reference tests that actually exist.
- MODEL-1 ship % unchanged at 91%.
- MODEL-2 ship % unchanged at 57% until 5g.3.

This is hygiene work while 5g.1 (~12hr) corpus retokenize runs.
Same defect class as PR #1504; together they close the
test-reference drift across both pretrain contracts.

Refs: SPEC-SHIP-TWO-001 §50.4 cascade (PRs #1473-#1494, #1502),
      contracts/apr-pretrain-arch-polymorphic-v1.yaml v1.5.0,
      contracts/apr-pretrain-from-init-v1.yaml v1.2.0 (PR #1504, sibling fix)

Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
@noahgift noahgift mentioned this pull request May 8, 2026
Merged
2 tasks
noahgift added a commit that referenced this pull request May 9, 2026
@noahgift @claude
feat(contracts): apr-pretrain-init-finetune-v1 5g.2 dispatch contract…
233b622 
… (PMAT-CODE-PRETRAIN-INIT-FINETUNE-001)

Adds contracts/apr-pretrain-init-finetune-v1.yaml v1.0.0 DRAFT, the
falsifier scaffold for SHIP-TWO §56.4 step 5g.2 — the LIVE 500-step
fine-tune dispatch that flips MODEL-2 ship % 57% → ≥58%.

Pins six falsifiable invariants for `apr pretrain --mode from-init
--init <Qwen.apr> --shards-dir <5g.1-corpus> --steps 500 --device cuda`:

- FALSIFY-001 (ship-blocking): exit code == 0
- FALSIFY-002 (advisory):     wall ≤ 3600 s on RTX 4090
- FALSIFY-003 (ship-blocking): step-0 loss ≤ 0.7 × ln(151936) ≈ 8.35
                               (proves init weights flow through forward)
- FALSIFY-004 (ship-blocking): checkpoint.apr written with valid
                               magic bytes (0x41 0x50 0x52 0x00 v2 OR
                               0x41 0x50 0x52 0x4E v1)
- FALSIFY-005 (ship-blocking): val_loss after 500 steps < 9.38
                               (the §34 370M-from-scratch ceiling)
- FALSIFY-006 (advisory):     no CUDA OOM / illegal-address / launch-
                               OoR errors during run

Five-Whys (why this contract first, then live dispatch):

1. Why a contract before the dispatch? Per CLAUDE.md "Contract-first
   design: NEVER write code before writing a provable contract."
   Even though 5g.2 is "0 LOC operator-dispatch", it has shippable
   semantics that deserve falsification scaffolding.
2. Why these particular six gates? They cover the four orthogonal
   failure modes of a fine-tune-from-init dispatch: process-level
   (exit/wall), correctness (step-0 baseline + val_loss), and
   serialization (checkpoint magic bytes + GPU resource health).
3. Why DRAFT status (not PROPOSED, not ACTIVE)? DRAFT means "schema
   validated, falsifiers authored, but no live evidence yet."
   Status flips to ACTIVE_RUNTIME via §59 spec amendment after the
   live dispatch produces evidence.
4. Why a separate contract from apr-pretrain-from-init-v1? The
   sibling contract pins the in-process semantics of init loading
   (load_init_tensors_from_apr, populate_trainer_from_init_tensors).
   This new contract pins the END-TO-END dispatch outcome — they
   compose at the dispatch boundary.
5. Why the val_loss < 9.38 threshold (not 5.0 or 7.0)? §34's 200K-
   step retrain confirmed val_loss=9.38 as the 370M-from-scratch
   capacity ceiling on this corpus. A from-init pivot must beat
   from-scratch, otherwise §49's strategy reasoning is wrong.

Pre-requisites VERIFIED on host (lambda-vector RTX 4090):
- /mnt/nvme-raid0/models/qwen2.5-coder-0.5b-instruct-fp16.apr exists
- /mnt/nvme-raid0/data/codeparrot-python-permissive-shards-qwen has
  228 shards / 2.278B tokens (manifest.json reconstructed by PR #1575)
- `apr pretrain --init <PATH>` end-to-end runnable per §53 (#1494 MERGED)
- Polymorphic preflight per §55 (#1500 MERGED)

Quality gates:
- `pv validate contracts/apr-pretrain-init-finetune-v1.yaml`: 0 errors
- `pv lint --strict-test-binding`: 9/9 gates PASS

SHIP-TWO impact:
- MODEL-1 ship %: unchanged at 91% (this is MODEL-2 prep work)
- MODEL-2 ship %: unchanged at 57% (this PR is contract-only;
  ship-% flips on §59 amendment after live verdict)
- Unblocks: §59 spec amendment recording 5g.2 dispatch result

Next steps (follow-ups, NOT this PR):
- LIVE dispatch on RTX 4090 (~20-60 min wall, pre-authorized per
  feedback_compute_pre_authorized.md)
- §59 spec amendment v3.05.0 → v3.06.0 with verdict + ship-% flip
- Contract status DRAFT → ACTIVE_RUNTIME

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
noahgift added a commit that referenced this pull request May 9, 2026
@noahgift @claude
feat(contracts): apr-pretrain-init-finetune-v1 5g.2 dispatch contract…
5fde3de 
… (PMAT-CODE-PRETRAIN-INIT-FINETUNE-001) (#1576)

Adds contracts/apr-pretrain-init-finetune-v1.yaml v1.0.0 DRAFT, the
falsifier scaffold for SHIP-TWO §56.4 step 5g.2 — the LIVE 500-step
fine-tune dispatch that flips MODEL-2 ship % 57% → ≥58%.

Pins six falsifiable invariants for `apr pretrain --mode from-init
--init <Qwen.apr> --shards-dir <5g.1-corpus> --steps 500 --device cuda`:

- FALSIFY-001 (ship-blocking): exit code == 0
- FALSIFY-002 (advisory):     wall ≤ 3600 s on RTX 4090
- FALSIFY-003 (ship-blocking): step-0 loss ≤ 0.7 × ln(151936) ≈ 8.35
                               (proves init weights flow through forward)
- FALSIFY-004 (ship-blocking): checkpoint.apr written with valid
                               magic bytes (0x41 0x50 0x52 0x00 v2 OR
                               0x41 0x50 0x52 0x4E v1)
- FALSIFY-005 (ship-blocking): val_loss after 500 steps < 9.38
                               (the §34 370M-from-scratch ceiling)
- FALSIFY-006 (advisory):     no CUDA OOM / illegal-address / launch-
                               OoR errors during run

Five-Whys (why this contract first, then live dispatch):

1. Why a contract before the dispatch? Per CLAUDE.md "Contract-first
   design: NEVER write code before writing a provable contract."
   Even though 5g.2 is "0 LOC operator-dispatch", it has shippable
   semantics that deserve falsification scaffolding.
2. Why these particular six gates? They cover the four orthogonal
   failure modes of a fine-tune-from-init dispatch: process-level
   (exit/wall), correctness (step-0 baseline + val_loss), and
   serialization (checkpoint magic bytes + GPU resource health).
3. Why DRAFT status (not PROPOSED, not ACTIVE)? DRAFT means "schema
   validated, falsifiers authored, but no live evidence yet."
   Status flips to ACTIVE_RUNTIME via §59 spec amendment after the
   live dispatch produces evidence.
4. Why a separate contract from apr-pretrain-from-init-v1? The
   sibling contract pins the in-process semantics of init loading
   (load_init_tensors_from_apr, populate_trainer_from_init_tensors).
   This new contract pins the END-TO-END dispatch outcome — they
   compose at the dispatch boundary.
5. Why the val_loss < 9.38 threshold (not 5.0 or 7.0)? §34's 200K-
   step retrain confirmed val_loss=9.38 as the 370M-from-scratch
   capacity ceiling on this corpus. A from-init pivot must beat
   from-scratch, otherwise §49's strategy reasoning is wrong.

Pre-requisites VERIFIED on host (lambda-vector RTX 4090):
- /mnt/nvme-raid0/models/qwen2.5-coder-0.5b-instruct-fp16.apr exists
- /mnt/nvme-raid0/data/codeparrot-python-permissive-shards-qwen has
  228 shards / 2.278B tokens (manifest.json reconstructed by PR #1575)
- `apr pretrain --init <PATH>` end-to-end runnable per §53 (#1494 MERGED)
- Polymorphic preflight per §55 (#1500 MERGED)

Quality gates:
- `pv validate contracts/apr-pretrain-init-finetune-v1.yaml`: 0 errors
- `pv lint --strict-test-binding`: 9/9 gates PASS

SHIP-TWO impact:
- MODEL-1 ship %: unchanged at 91% (this is MODEL-2 prep work)
- MODEL-2 ship %: unchanged at 57% (this PR is contract-only;
  ship-% flips on §59 amendment after live verdict)
- Unblocks: §59 spec amendment recording 5g.2 dispatch result

Next steps (follow-ups, NOT this PR):
- LIVE dispatch on RTX 4090 (~20-60 min wall, pre-authorized per
  feedback_compute_pre_authorized.md)
- §59 spec amendment v3.05.0 → v3.06.0 with verdict + ship-% flip
- Contract status DRAFT → ACTIVE_RUNTIME

Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
noahgift added a commit that referenced this pull request May 9, 2026
@noahgift @claude
feat(entrenar,apr-cli): §50.4 step 5f.5 — CUDA --init wireup (PMAT-CO…
bdc8ccf 
…DE-PRETRAIN-INIT-CUDA-WIREUP-001)

Mirror the CPU path's `build_shared_trainer_with_init` (§50.4 step 5f.4)
into the CUDA backend so `apr pretrain --init <PATH> --device cuda` can
fine-tune from a public pretrained checkpoint on RTX 4090 — the only
remaining ship-blocker for SHIP-TWO §56.4 step 5g.2.

This PR:

- Adds `entrenar::train::pretrain_real_cuda::build_shared_cuda_trainer_with_init`,
  symmetric to the CPU sibling. Composes the SAME §50.4 step-5f machinery
  through both backends:
    5c:   build_transformer_config(init_arch)
    5f.1: validate_pretrain_init_arch_compatible(init_arch) — encoder rejection
    5f.2: load_init_tensors_from_apr(path) — read APR weights
    5f.3: populate_trainer_from_init_tensors(transformer, &tensors) — populate CPU model
    5f.5: CudaTransformerTrainer::with_model uploads populated blocks
          / final_norm / lm_head / embed_tokens to GPU.
  The §50.4 step 5f.1/5f.2/5f.3 helpers are reused VERBATIM — populate
  semantics are identical between CPU and CUDA backends.

- Updates `apr-cli::drive_real_cuda` to accept the same `init_arch:
  Option<&TransformerConfig>` + `init_path: Option<&Path>` pair as the
  CPU path. When either is `Some`, routes through the new builder.
  When both are `None`, preserves the existing from-scratch baseline
  (INV-ARCH-370M-001 stays enforced on the from-scratch CUDA path).

- Removes the `FALSIFY-APR-PRETRAIN-INIT-CUDA-001` fail-fast Err in
  `drive_real`. The `pub(crate) const FALSIFY_APR_PRETRAIN_INIT_CUDA_001_MSG`
  survives and is repurposed as a drift-prevention sentinel — its
  payload now reads "is wired for --device cuda via
  build_shared_cuda_trainer_with_init (5f.5 SHIPPED)" so a future
  regression that re-introduces a fail-fast fires the sentinel test
  before the contract reference goes stale.

Five-Whys (root-cause class) for the wireup itself:

1. Why was the CUDA wireup deferred while the CPU wireup landed in
   PR #1494? §50.4 step 5f.4 was the smallest cascade-completing PR;
   landing both backends in one PR conflated the algorithm-level
   wireup with the CUDA-feature-build dependency. Per
   `feedback_falsifier_first_cascade_pattern.md`, 1 PR ≈ 1 logical
   change.
2. Why does the CUDA path even need its own builder? Because the
   `CudaTransformerTrainer` constructor uploads weights to GPU at
   allocation time — the populated CPU model must exist BEFORE the
   GPU upload, or the GPU sees random initialization while the CPU
   model has the loaded init.
3. Why pass the populated CPU `Transformer` to `with_model` rather
   than loading directly into GPU buffers? Because the CUDA upload
   path (`upload_blocks` + `final_norm` + `lm_head`) reads weights
   FROM the CPU `Transformer` struct. The cleanest symmetry is
   "build CPU model, populate via shared helper, hand to CUDA
   constructor" — the same helper closes the §28 SHIP-007 silent-
   gibberish defect class on both backends.
4. Why preserve the const sentinel rather than delete it? The const
   is referenced by name in `apr-pretrain-arch-polymorphic-v1.yaml`
   v1.4.0..v1.6.0 changelog and falsifier entries. Deleting it would
   break the contract's audit trail. Repurposing it (semantic flip
   from "fail-fast" to "is wired") preserves the audit chain while
   the new payload still anchors a drift-prevention test.
5. Why does this PR not run the LIVE 500-step fine-tune? Per PR
   atomicity: this PR ships the wireup. The 500-step val_loss < 9.38
   verdict is gated by `apr-pretrain-init-finetune-v1.yaml` v1.0.0
   (PR #1576) — that contract's FALSIFY-APR-PRETRAIN-INIT-FINETUNE-005
   flips MODEL-2 ship % 57% → ≥58%. The two PRs compose: this PR's
   wireup is the prerequisite; PR #1576's contract is the verdict.

LIVE END-TO-END DOGFOOD on lambda-vector RTX 4090 (this branch built
with `--features cuda`):

  $ apr pretrain --dataset .../codeparrot-python-permissive-shards-qwen \
        --tokenizer .../qwen-0.5b-tokenizer-extracted \
        --run-dir .../5g-2-smoke-1step-cuda-post5f5 \
        --mode finetune --num-steps 1 --batch-size 2 --seq-length 256 \
        --device cuda \
        --init .../qwen2.5-coder-0.5b-instruct-fp16.apr

  [CUDA] cuBLAS initialized — forward TF32 tensor cores
  [CUDA] Pre-warmed 27 forward kernels
  ✓ 24 transformer blocks uploaded to GPU
  ✓ GPU training state allocated (LM head: 544.5 MB)
  === Run Result ===
    OK CONVERGED  final val_loss=0.6847 after 1 epoch(s)

  Checkpoint: 2.35 GiB, 219 tensors, valid APR v2 (✓ checksum).

This live run discharges:
  - FALSIFY-APR-PRETRAIN-INIT-CUDA-001 (sentinel, post-5f.5)
  - FALSIFY-APR-PRETRAIN-INIT-FINETUNE-001 (exit 0)
  - FALSIFY-APR-PRETRAIN-INIT-FINETUNE-004 (checkpoint written)
  - Partial discharge of FALSIFY-APR-PRETRAIN-INIT-FINETUNE-005
    (val_loss=0.6847 << 9.38 ceiling, on 1-step fine-tune; 500-step
    LIVE remains the binding evidence under PR #1576's contract).

Contract updates:

- `contracts/apr-pretrain-arch-polymorphic-v1.yaml`: v1.6.0 → v1.7.0.
  - FALSIFY-CUDA-001 semantic flip (fail-fast → wireup-is-wired sentinel)
  - NEW FALSIFY-CUDA-002 (paired-args invariant on the new builder)
  - NEW FALSIFY-CUDA-003 (encoder family rejection on the new builder)
  - All three new tests fire WITHOUT a CUDA runtime — they exercise
    the args-check and encoder-rejection paths that happen before any
    GPU allocation.

Quality gates:
- `pv validate contracts/apr-pretrain-arch-polymorphic-v1.yaml`: 0 errors
- `pv lint --strict-test-binding`: 9/9 gates PASS
- `cargo test -p apr-cli --features training --lib`: 5644/5644 PASS
- `cargo test -p apr-cli --features training --test cli_commands`: 8/8 PASS
- `cargo test -p aprender-train --features cuda --lib build_shared_cuda_trainer_with_init`: 2/2 PASS
- `cargo clippy -p apr-cli --features training --lib -- -D warnings`: clean
- `cargo check -p apr-cli --features training`: clean
- `cargo check -p apr-cli --features training,cuda`: clean
- LIVE: `apr pretrain --init Qwen.apr --device cuda` runs end-to-end on RTX 4090

SHIP-TWO impact:
- MODEL-1 ship %: unchanged at 91% (this is MODEL-2 prep)
- MODEL-2 ship %: unchanged at 57% (5g.2 LIVE 500-step verdict still
  required to flip 57% → ≥58%; this PR closes the only remaining
  technical blocker — a 500-step dispatch is now operator-runnable).
- §50.4 cascade COMPLETE (5a-5f.5 all shipped; only 5g LIVE remains).

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
noahgift added a commit that referenced this pull request May 9, 2026
@noahgift @claude
feat(entrenar,apr-cli): §50.4 step 5f.5 — CUDA --init wireup (PMAT-CO…
7e3afba 
…DE-PRETRAIN-INIT-CUDA-WIREUP-001) (#1577)

Mirror the CPU path's `build_shared_trainer_with_init` (§50.4 step 5f.4)
into the CUDA backend so `apr pretrain --init <PATH> --device cuda` can
fine-tune from a public pretrained checkpoint on RTX 4090 — the only
remaining ship-blocker for SHIP-TWO §56.4 step 5g.2.

This PR:

- Adds `entrenar::train::pretrain_real_cuda::build_shared_cuda_trainer_with_init`,
  symmetric to the CPU sibling. Composes the SAME §50.4 step-5f machinery
  through both backends:
    5c:   build_transformer_config(init_arch)
    5f.1: validate_pretrain_init_arch_compatible(init_arch) — encoder rejection
    5f.2: load_init_tensors_from_apr(path) — read APR weights
    5f.3: populate_trainer_from_init_tensors(transformer, &tensors) — populate CPU model
    5f.5: CudaTransformerTrainer::with_model uploads populated blocks
          / final_norm / lm_head / embed_tokens to GPU.
  The §50.4 step 5f.1/5f.2/5f.3 helpers are reused VERBATIM — populate
  semantics are identical between CPU and CUDA backends.

- Updates `apr-cli::drive_real_cuda` to accept the same `init_arch:
  Option<&TransformerConfig>` + `init_path: Option<&Path>` pair as the
  CPU path. When either is `Some`, routes through the new builder.
  When both are `None`, preserves the existing from-scratch baseline
  (INV-ARCH-370M-001 stays enforced on the from-scratch CUDA path).

- Removes the `FALSIFY-APR-PRETRAIN-INIT-CUDA-001` fail-fast Err in
  `drive_real`. The `pub(crate) const FALSIFY_APR_PRETRAIN_INIT_CUDA_001_MSG`
  survives and is repurposed as a drift-prevention sentinel — its
  payload now reads "is wired for --device cuda via
  build_shared_cuda_trainer_with_init (5f.5 SHIPPED)" so a future
  regression that re-introduces a fail-fast fires the sentinel test
  before the contract reference goes stale.

Five-Whys (root-cause class) for the wireup itself:

1. Why was the CUDA wireup deferred while the CPU wireup landed in
   PR #1494? §50.4 step 5f.4 was the smallest cascade-completing PR;
   landing both backends in one PR conflated the algorithm-level
   wireup with the CUDA-feature-build dependency. Per
   `feedback_falsifier_first_cascade_pattern.md`, 1 PR ≈ 1 logical
   change.
2. Why does the CUDA path even need its own builder? Because the
   `CudaTransformerTrainer` constructor uploads weights to GPU at
   allocation time — the populated CPU model must exist BEFORE the
   GPU upload, or the GPU sees random initialization while the CPU
   model has the loaded init.
3. Why pass the populated CPU `Transformer` to `with_model` rather
   than loading directly into GPU buffers? Because the CUDA upload
   path (`upload_blocks` + `final_norm` + `lm_head`) reads weights
   FROM the CPU `Transformer` struct. The cleanest symmetry is
   "build CPU model, populate via shared helper, hand to CUDA
   constructor" — the same helper closes the §28 SHIP-007 silent-
   gibberish defect class on both backends.
4. Why preserve the const sentinel rather than delete it? The const
   is referenced by name in `apr-pretrain-arch-polymorphic-v1.yaml`
   v1.4.0..v1.6.0 changelog and falsifier entries. Deleting it would
   break the contract's audit trail. Repurposing it (semantic flip
   from "fail-fast" to "is wired") preserves the audit chain while
   the new payload still anchors a drift-prevention test.
5. Why does this PR not run the LIVE 500-step fine-tune? Per PR
   atomicity: this PR ships the wireup. The 500-step val_loss < 9.38
   verdict is gated by `apr-pretrain-init-finetune-v1.yaml` v1.0.0
   (PR #1576) — that contract's FALSIFY-APR-PRETRAIN-INIT-FINETUNE-005
   flips MODEL-2 ship % 57% → ≥58%. The two PRs compose: this PR's
   wireup is the prerequisite; PR #1576's contract is the verdict.

LIVE END-TO-END DOGFOOD on lambda-vector RTX 4090 (this branch built
with `--features cuda`):

  $ apr pretrain --dataset .../codeparrot-python-permissive-shards-qwen \
        --tokenizer .../qwen-0.5b-tokenizer-extracted \
        --run-dir .../5g-2-smoke-1step-cuda-post5f5 \
        --mode finetune --num-steps 1 --batch-size 2 --seq-length 256 \
        --device cuda \
        --init .../qwen2.5-coder-0.5b-instruct-fp16.apr

  [CUDA] cuBLAS initialized — forward TF32 tensor cores
  [CUDA] Pre-warmed 27 forward kernels
  ✓ 24 transformer blocks uploaded to GPU
  ✓ GPU training state allocated (LM head: 544.5 MB)
  === Run Result ===
    OK CONVERGED  final val_loss=0.6847 after 1 epoch(s)

  Checkpoint: 2.35 GiB, 219 tensors, valid APR v2 (✓ checksum).

This live run discharges:
  - FALSIFY-APR-PRETRAIN-INIT-CUDA-001 (sentinel, post-5f.5)
  - FALSIFY-APR-PRETRAIN-INIT-FINETUNE-001 (exit 0)
  - FALSIFY-APR-PRETRAIN-INIT-FINETUNE-004 (checkpoint written)
  - Partial discharge of FALSIFY-APR-PRETRAIN-INIT-FINETUNE-005
    (val_loss=0.6847 << 9.38 ceiling, on 1-step fine-tune; 500-step
    LIVE remains the binding evidence under PR #1576's contract).

Contract updates:

- `contracts/apr-pretrain-arch-polymorphic-v1.yaml`: v1.6.0 → v1.7.0.
  - FALSIFY-CUDA-001 semantic flip (fail-fast → wireup-is-wired sentinel)
  - NEW FALSIFY-CUDA-002 (paired-args invariant on the new builder)
  - NEW FALSIFY-CUDA-003 (encoder family rejection on the new builder)
  - All three new tests fire WITHOUT a CUDA runtime — they exercise
    the args-check and encoder-rejection paths that happen before any
    GPU allocation.

Quality gates:
- `pv validate contracts/apr-pretrain-arch-polymorphic-v1.yaml`: 0 errors
- `pv lint --strict-test-binding`: 9/9 gates PASS
- `cargo test -p apr-cli --features training --lib`: 5644/5644 PASS
- `cargo test -p apr-cli --features training --test cli_commands`: 8/8 PASS
- `cargo test -p aprender-train --features cuda --lib build_shared_cuda_trainer_with_init`: 2/2 PASS
- `cargo clippy -p apr-cli --features training --lib -- -D warnings`: clean
- `cargo check -p apr-cli --features training`: clean
- `cargo check -p apr-cli --features training,cuda`: clean
- LIVE: `apr pretrain --init Qwen.apr --device cuda` runs end-to-end on RTX 4090

SHIP-TWO impact:
- MODEL-1 ship %: unchanged at 91% (this is MODEL-2 prep)
- MODEL-2 ship %: unchanged at 57% (5g.2 LIVE 500-step verdict still
  required to flip 57% → ≥58%; this PR closes the only remaining
  technical blocker — a 500-step dispatch is now operator-runnable).
- §50.4 cascade COMPLETE (5a-5f.5 all shipped; only 5g LIVE remains).

Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
@noahgift noahgift mentioned this pull request May 11, 2026
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