z2w9w cluster run hit CUDA_ERROR_INVALID_VALUE at "eval snap_batched
fwd" the first time validation ran after a captured training step.
Training itself succeeded (epoch 0 train_loss=0.69 over 250 captured
graph replays); only the subsequent direct eval kernel launch failed.
Root cause (vendor/cudarc/src/driver/safe/core.rs:920):
CudaSlice::device_ptr_mut() returns a `SyncOnDrop::Record` guard.
On drop, that guard UNCONDITIONALLY calls `event.record(stream)` on
the slice's `.read` event (the check at line 953 only gates the
cuStreamWaitEvent on .write — the unconditional event.record at the
end runs no matter what). Inside a stream-capture region, those
event.record(stream) calls turn the CudaEvents into "captured
events" per the CUDA Driver API. Captured events can ONLY be waited
on by streams in the same capture sequence; any later
cuStreamWaitEvent from outside fails with CUDA_ERROR_INVALID_VALUE.
The trainer's eval path then called `device_ptr_mut()` again to
stage the eval DtoDs — which inserted exactly that
cuStreamWaitEvent on the now-captured `.write` event of every
trainer CudaSlice. First kernel launch after the dtods failed.
Why this hit z2w9w now: a) all our work is on a SINGLE stream
(`self.stream`), so the event-based multi-stream sync that cudarc
inserts is pure overhead, b) the capture region is exactly where
those overhead events become poisonous.
Fix: disable cudarc's read/write event tracking BEFORE the trainer
allocates ANY device memory. With tracking off at alloc time,
CudaSlice::new returns `read: None, write: None` (core.rs:1283).
SyncOnDrop::record_event with `event: None` produces a `Record(None)`
that does nothing on drop. launch_builder skips its event waits/
records too. The capture region runs clean; the eval direct launches
have no stale captured events to wait on.
Validation:
- 6 perception_overfit tests pass, including 3 NEW regression tests
that pin the exact failure modes:
* evaluate_alone_succeeds — eval with no prior training
* evaluate_works_after_warmup_only — eval after 1 uncaptured step
* evaluate_works_after_capture_no_replay — eval right after capture
(the minimal repro that pinpointed `device_ptr_mut` inside capture)
* evaluate_works_after_captured_training_step — full warmup +
capture + replay + eval
- 26 ml-alpha lib + 23 ml-alpha integration + 306 ml-core lib all pass.
Also drops the now-redundant disable/enable_event_tracking dance
around the capture region — events are globally disabled for the
trainer's lifetime so no per-capture flipping needed.
Honors: feedback_no_quickfixes.md (root-cause traced through
cudarc's safe wrappers to the SyncOnDrop record contract, not a
symptom-suppress sleep/retry hack).
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>