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hao-ai-lab-FastVideo/v2/runtime
SolitaryThinker 47f7a04e09 [feat] static-buffer capture form for the cudagraph step body (Path A)
Close the loudest deferred gap from the cudagraph audit: the capturable step
now binds its I/O to address-stable static buffers (modeling real CUDA static
I/O buffers), instead of allocating fresh arrays per call.

- StaticWorkspace: address-stable buffers allocated once per capture key; bind()
  copies the current step's inputs in place via np.copyto, which RAISES on a
  shape/dtype mismatch — turning the weak peak_activation_bytes proxy into a real
  key-soundness backstop (a step whose shape doesn't fit can't replay an
  incompatible graph). Output written into a static buffer too.
- WorkPlan.graph_fn / graph_inputs: a capturable step exposes its deterministic
  op-structure as graph_fn(model, workspace) reading EVERY per-step input (latent,
  sigmas, conditioning, scale) from the workspace — never from closure over
  per-step data — plus the dict of current values. Loops without both stay on the
  eager path. wan21 factors a shared _velocity() so graph_fn and the eager run
  stay bit-identical.
- Capturer dispatch captures/replays via graph_fn against the keyed workspace;
  the workspace is shared per key on the instance. Correct under the engine's
  synchronous step execution (bind+graph_fn atomic per dispatch, output returned
  as a copy) — proven by the batch-of-N interleave gate running two same-key
  requests through the shared workspace bit-identically. A concurrent/multi-stream
  executor would need a per-stream pool (documented).
- 2 new tests (no-static-form eager-break, static-buffer shape-mismatch raises);
  workspace collision test split into bytes-proxy vs shape-backstop.

197 tests pass.
2026-07-04 17:15:34 +00:00
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