feat(neuron): TP step watchdog aborts wedged collectives (#17 Stage 2)
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Make a hung NCCL collective recoverable instead of a permanent brick.
Today a wedged collective hangs the in-process leader thread forever, and
even Stage 1's recovery can't help — its unload's DropTp queues behind the
stuck thread and hangs too.

- Cache the leader's NCCL Comm handle async-side at init (new cuda-gated
  Job::GetLeaderComm → DeviceWorkerHandle::get_leader_comm → stored on
  WorkerPool.leader_comm). Fetched while the thread is responsive — a
  wedged thread can't service the fetch, which is why it's cached up front.
- Wrap the leader forward in both generate_step and
  generate_step_with_images in tokio::time::timeout (default 120s,
  NEURON_TP_STEP_TIMEOUT_S). On expiry the watchdog calls
  Comm::abort() (ncclCommAbort) on the cached handle from the async
  thread — the one NCCL op sanctioned concurrently with an in-flight
  collective — which unblocks the leader thread, then fails the step
  WITHOUT draining (workers are wedged too; recovery's unload kills them).
  The error is a device fault → poison → Stage 1 auto-recovery, which now
  completes because the leader thread is responsive again.
- Bumps the cudarc patch to dbc425a (adds the Drop-must-not-panic fix so
  the post-abort comm teardown during recovery doesn't double-abort-panic).

Logs the whole sequence at ERROR with greppable `tp watchdog:` /
`ncclCommAbort` markers so a real-world hang leaves a forensic trail —
verification is by inspecting journals after real hangs, not a synthetic
harness. cuda-gated → validated by the blackwell build.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
2026-06-08 14:15:29 +03:00
parent c4f239ceb9
commit 99920dd322
6 changed files with 168 additions and 16 deletions

View File

@@ -201,6 +201,16 @@ pub(crate) fn run(device_index: u32, rx: Receiver<Job>, poisoned: Arc<AtomicBool
let _ = reply.send(resp);
}
#[cfg(feature = "cuda")]
Job::GetLeaderComm { reply } => {
// Clone the leader's Arc<Comm> out for the async-side
// watchdog. `None` before NcclInit. (#17 Stage 2)
let comm = state
.nccl
.comm()
.map(crate::harness::tp::nccl_state::SendComm);
let _ = reply.send(comm);
}
#[cfg(feature = "cuda")]
Job::TpLoadShard {
model_id,
config_json,
@@ -1004,6 +1014,10 @@ fn drain_poisoned(job: Job, device_index: u32) {
message: format!("device worker {device_index} poisoned"),
});
}
#[cfg(feature = "cuda")]
Job::GetLeaderComm { reply } => {
let _ = reply.send(None);
}
Job::NcclSanity { reply } => {
let _ = reply.send(crate::harness::tp::rpc::WorkerResponse::Error {
kind: "device_worker_poisoned".into(),

View File

@@ -192,6 +192,17 @@ pub enum Job {
NcclSanity {
reply: oneshot::Sender<crate::harness::tp::rpc::WorkerResponse>,
},
/// Hand a clonable handle to the leader's NCCL `Comm` back to the
/// async side, so the TP step watchdog can call `ncclCommAbort` on
/// it from a *different* thread to unblock a wedged collective
/// (#17 Stage 2). Fetched once at init while the worker thread is
/// still responsive — a thread already wedged in a collective can't
/// service this job, which is exactly why the handle is cached
/// up front. Replies `None` before `NcclInit` has run.
#[cfg(feature = "cuda")]
GetLeaderComm {
reply: oneshot::Sender<Option<crate::harness::tp::nccl_state::SendComm>>,
},
/// Load the leader's TP shard on the worker thread. The dispatch
/// handler reads `state.nccl.comm()` directly (no cross-thread
/// `Arc<Comm>` transfer, no `SendComm` wrapper) and builds the

View File

@@ -161,6 +161,27 @@ impl DeviceWorkerHandle {
}
}
/// Fetch a clonable handle to the leader's NCCL `Comm` (#17 Stage 2).
/// The TP step watchdog caches this at init so it can call
/// `ncclCommAbort` from the async thread to unblock a wedged
/// collective. Returns `None` if uninitialised, poisoned, or gone —
/// the caller treats a missing handle as "can't abort" and logs it.
#[cfg(feature = "cuda")]
pub async fn get_leader_comm(&self) -> Option<crate::harness::tp::nccl_state::SendComm> {
if self.poisoned.load(Ordering::Acquire) {
return None;
}
let (reply_tx, reply_rx) = oneshot::channel();
if self
.tx
.send(Job::GetLeaderComm { reply: reply_tx })
.is_err()
{
return None;
}
reply_rx.await.ok().flatten()
}
/// Load a GGUF (pre-quantized) single-GPU model on the worker
/// thread. The hf-hub resolution happens on the async caller; the
/// resolved local `gguf_path` plus the spec's model_id are sent

View File

@@ -245,9 +245,67 @@ pub struct WorkerPool {
/// Phase 4 the load itself moves onto the worker and that bridge
/// goes away.
pub(crate) leader_worker: std::sync::Arc<super::device_worker::DeviceWorkerHandle>,
/// Cached handle to the leader's NCCL `Comm`, fetched at `init_nccl`
/// while the worker thread is responsive. The TP step watchdog uses
/// it to `ncclCommAbort` a wedged collective from the async thread —
/// the one NCCL op allowed concurrently with an in-flight collective,
/// and the only way to unblock the in-process leader thread so
/// recovery's `unload` doesn't itself hang (#17 Stage 2). `None` if
/// init couldn't cache it; the watchdog then logs that it can't abort.
#[cfg(feature = "cuda")]
leader_comm: Option<super::nccl_state::SendComm>,
}
/// Per-step deadline for a TP forward (#17 Stage 2). A healthy decode
/// step or chunked prefill completes in well under a second; a wedged
/// NCCL collective never returns. Generous default so no legitimate step
/// trips it; overridable via `NEURON_TP_STEP_TIMEOUT_S` (seconds).
#[cfg(feature = "cuda")]
fn tp_step_timeout() -> std::time::Duration {
let secs = std::env::var("NEURON_TP_STEP_TIMEOUT_S")
.ok()
.and_then(|v| v.trim().parse::<u64>().ok())
.filter(|&s| s > 0)
.unwrap_or(120);
std::time::Duration::from_secs(secs)
}
impl WorkerPool {
/// Abort the leader's NCCL comm to unblock a collective the watchdog
/// found wedged (#17 Stage 2). Logs the whole sequence loudly so a
/// real-world hang leaves a greppable forensic trail
/// (`tp watchdog:` / `ncclCommAbort`). Calling abort from this async
/// thread while the worker thread is blocked inside the collective is
/// the one concurrent NCCL op the library sanctions — it is how a
/// stuck/failed collective is unblocked.
#[cfg(feature = "cuda")]
fn watchdog_abort_leader_comm(&self, model_id: &str, secs: u64) {
tracing::error!(
model = %model_id,
timeout_s = secs,
"tp watchdog: leader forward exceeded deadline — NCCL collective wedged; \
aborting comm to unblock the leader thread for auto-recovery"
);
match &self.leader_comm {
Some(c) => match c.0.abort() {
Ok(()) => tracing::error!(
model = %model_id,
"tp watchdog: ncclCommAbort succeeded — wedged collective unblocked; \
failing the step so the model auto-recovers (unload+reload)"
),
Err(e) => tracing::error!(
model = %model_id, error = ?e,
"tp watchdog: ncclCommAbort failed — recovery may stall until a process restart"
),
},
None => tracing::error!(
model = %model_id,
"tp watchdog: no cached leader comm handle — cannot abort; recovery will rely \
on a process restart"
),
}
}
/// Spawn `world_size - 1` worker subprocesses. Rank 0 is the
/// leader (in-process) and is *not* spawned here — the leader
/// holds rank 0's NCCL Comm and shard in its own address space.
@@ -324,6 +382,8 @@ impl WorkerPool {
workers,
exe,
leader_worker,
#[cfg(feature = "cuda")]
leader_comm: None,
})
}
@@ -404,6 +464,23 @@ impl WorkerPool {
world_size = self.world_size,
"NCCL communicator established across all ranks"
);
// Cache the leader's Comm handle now, while the worker thread is
// responsive, so the TP step watchdog can abort a wedged
// collective later (it can't fetch it then — the thread is stuck).
// (#17 Stage 2.)
#[cfg(feature = "cuda")]
{
self.leader_comm = self.leader_worker.get_leader_comm().await;
if self.leader_comm.is_some() {
tracing::debug!("cached leader NCCL comm handle for the TP step watchdog");
} else {
tracing::warn!(
"could not cache leader NCCL comm handle; the TP step watchdog will be \
unable to abort a wedged collective (a hang would need a process restart)"
);
}
}
Ok(())
}
@@ -628,10 +705,27 @@ impl WorkerPool {
// that's the invariant the whole refactor exists to
// preserve.
let leader_start = std::time::Instant::now();
let leader_result = self
let timeout = tp_step_timeout();
let leader_fut = self
.leader_worker
.tp_forward_logits(leader_handle, tokens, offset)
.await;
.tp_forward_logits(leader_handle, tokens, offset);
let leader_result = match tokio::time::timeout(timeout, leader_fut).await {
Ok(r) => r,
Err(_elapsed) => {
// Watchdog (#17 Stage 2): the NCCL collective is wedged.
// Abort the leader comm to unblock its thread, then fail
// the step WITHOUT draining (the subprocess workers are
// wedged too; recovery's unload kills them). The error
// poisons the model → auto-recovery, which no longer hangs
// because the leader thread is now responsive.
self.watchdog_abort_leader_comm(model_id, timeout.as_secs());
anyhow::bail!(
"tp watchdog: leader forward exceeded {}s deadline; aborted wedged NCCL \
comm — model will auto-recover",
timeout.as_secs()
);
}
};
let leader_ok = leader_result.is_ok();
let leader_ms = leader_start.elapsed().as_millis();
// Surface the leader's own error at WARN before draining
@@ -767,17 +861,29 @@ impl WorkerPool {
// matching collective; CPU-side logits keep the device tensor
// from escaping the worker thread.
let leader_start = std::time::Instant::now();
let leader_result = self
.leader_worker
.tp_forward_logits_with_images(
leader_handle,
tokens,
offset,
image_token_id,
image_data_uris,
chunk_size,
)
.await;
let timeout = tp_step_timeout();
let leader_fut = self.leader_worker.tp_forward_logits_with_images(
leader_handle,
tokens,
offset,
image_token_id,
image_data_uris,
chunk_size,
);
let leader_result = match tokio::time::timeout(timeout, leader_fut).await {
Ok(r) => r,
Err(_elapsed) => {
// Watchdog (#17 Stage 2) — see generate_step. Vision
// prefill is still well under the deadline on healthy
// hardware; a timeout means a wedged collective.
self.watchdog_abort_leader_comm(model_id, timeout.as_secs());
anyhow::bail!(
"tp watchdog: leader image forward exceeded {}s deadline; aborted wedged \
NCCL comm — model will auto-recover",
timeout.as_secs()
);
}
};
let leader_ok = leader_result.is_ok();
let leader_ms = leader_start.elapsed().as_millis();
if !leader_ok {