Preserve transferred EAGLE state past metadata-slot reuse

Decode committed EAGLE top-k and hidden-state tensors as views into reusable metadata-buffer rows. The metadata index is freed immediately after transfer commit, while the request may wait before process_prebuilt consumes the draft state. Under concurrent cache-hit traffic a later transfer can overwrite the same row, leaving output_id copied correctly but EAGLE draft state corrupted, which matches low accept length despite successful KV/state registration.

Constraint: Metadata slots are intentionally recycled right after transfer commit for throughput.

Rejected: Hold metadata slots until process_prebuilt | larger lifetime change and reduces transfer capacity; cloning the small prebuilt EAGLE state is narrower.

Confidence: high

Scope-risk: narrow

Directive: Do not store reusable metadata-buffer views on Req unless the slot lifetime is extended through all consumers.

Tested: Local py_compile for decode.py and test_decode_queue_compaction.py.

Tested: Remote g0034 container py_compile for decode.py and test_decode_queue_compaction.py.

Tested: Remote g0034 focused clone-lifetime test: 1 passed.

Tested: Remote g0034 test_decode_queue_compaction.py: 10 passed, 5 warnings.

Not-tested: ETE cache-hit accept-length validation after restarting prefill/decode with this synced code.
This commit is contained in:
laoyao0822
2026-05-30 03:36:42 +08:00
parent b7364d23f9
commit 07c9544737
3 changed files with 121 additions and 5 deletions

View File

@@ -2188,3 +2188,38 @@ Checked point:
Rejected:
- Do not change prebuilt `num_states` to `topk * speculative_num_steps` for the non-multi-layer EAGLE path unless the launch also enables `enable_multi_layer_eagle`. That would feed extra uninitialized/irrelevant metadata into `EAGLEWorkerV2.draft()`.
### C45. 2026-05-30 new runtime did not recover; root-cause moved to decode metadata-buffer lifetime
Runtime evidence:
- New prefill process PID `2655723` started at `2026-05-30 03:18:38 CST`, after the C42 code sync.
- Latest logs:
- prefill: `/mnt/beegfs/cjy/log/sglang_cp_hicache_20260529_191838.log`
- decode0: `/mnt/beegfs/cjy/log/decode0_20260529_191842.log`
- decode1: `/mnt/beegfs/cjy/log/decode1_20260529_191845.log`
- The C42 change is active enough to remove the old fallback: `draft_partial_current_reuse_disabled=0` in the new prefill log.
- Accept length still did not recover: parsed decode batches show average accept length about `1.35`, median about `1.25`, and many windows at `<=1.05`. Transfer-free windows remain low as well.
New root cause:
- `DecodeTransferQueue._commit_transfer_to_req()` assigned `req.output_topk_p`, `req.output_topk_index`, and `req.hidden_states_tensor` directly from `metadata_buffers.get_buf(idx)`.
- `metadata_buffers.get_buf(idx)` returns views into reusable metadata-buffer rows.
- `DecodeTransferQueue.pop_transferred()` frees `metadata_buffer_index` immediately after `_commit_transfer_to_req()` returns, but the transferred request can sit in the scheduler waiting queue before `process_prebuilt()` consumes the EAGLE top-k/hidden state.
- Therefore later transfers can overwrite the same metadata slot before decode prebuilt consumes it. The scalar output id and cached-token count are copied with `.item()`, but the EAGLE draft state was not owned. This explains why transfer and registration look correct while the first decode draft state is often wrong under concurrent/high-cache-hit traffic.
Fix:
- Clone the EAGLE metadata tensors at commit time before freeing the metadata slot:
- `output_topk_p.clone()`
- `output_topk_index.clone()`
- `output_hidden_states.clone()`
- Added a unit test that mutates the original metadata-buffer tensors after commit and verifies the request still owns the original values and different storage.
- Remote container verification on `g0034:/sgl-workspace/sglang-tai` passed:
- py_compile for `decode.py` and `test_decode_queue_compaction.py`
- focused clone-lifetime test: `1 passed`
- full `test_decode_queue_compaction.py`: `10 passed, 5 warnings`
Guardrail:
- Do not replace the clone with a view unless the allocator lifetime is changed so the metadata slot is held until after `process_prebuilt()` consumes the request.

View File

@@ -1175,9 +1175,15 @@ class DecodeTransferQueue:
decode_req.req.output_ids.append(output_id[0].item())
decode_req.req.cached_tokens = cached_tokens[0].item()
if not self.spec_algorithm.is_none():
decode_req.req.output_topk_p = output_topk_p
decode_req.req.output_topk_index = output_topk_index
decode_req.req.hidden_states_tensor = output_hidden_states
# ``metadata_buffers.get_buf`` returns views into the reusable
# metadata slots. ``pop_transferred`` frees the slot immediately
# after this commit, while the request can stay in the waiting queue
# before ``process_prebuilt`` consumes the EAGLE state. Keep an
# owned copy so subsequent transfers cannot overwrite the prebuilt
# draft top-k/hidden state.
decode_req.req.output_topk_p = output_topk_p.clone()
decode_req.req.output_topk_index = output_topk_index.clone()
decode_req.req.hidden_states_tensor = output_hidden_states.clone()
_cp_draft_shared_kv_debug(
"decode_transfer_commit rid=%s room=%s metadata_idx=%s cached_tokens=%s "

View File

@@ -5,6 +5,8 @@ from types import SimpleNamespace
from typing import Any, cast
from unittest.mock import patch
import torch
from sglang.srt.disaggregation.base import KVPoll
from sglang.srt.disaggregation.decode import (
DecodePreallocQueue,
@@ -338,6 +340,69 @@ class TestDecodeQueueCompaction(CustomTestCase):
self.assertEqual(len(aborted), 1)
self.assertEqual(aborted[0][0], "corrupt")
def test_commit_transfer_clones_eagle_metadata_before_reusing_slot(self):
queue = DecodeTransferQueue.__new__(DecodeTransferQueue)
output_topk_p = torch.arange(16, dtype=torch.float32)
output_topk_index = torch.arange(16, dtype=torch.int64)
output_hidden_states = torch.arange(8, dtype=torch.float32)
queue.metadata_buffers = cast(
Any,
SimpleNamespace(
get_buf=lambda idx: (
torch.tensor([7], dtype=torch.int32),
torch.tensor([320], dtype=torch.int32),
None,
None,
None,
None,
output_topk_p,
output_topk_index,
output_hidden_states,
torch.tensor([3], dtype=torch.int64),
)
),
)
queue.scheduler = cast(
Any,
SimpleNamespace(
server_args=SimpleNamespace(disaggregation_transfer_backend="mooncake")
),
)
queue.spec_algorithm = cast(Any, SimpleNamespace(is_none=lambda: False))
receiver = FakeReceiver()
decode_req = DecodeRequest(
req=cast(Any, FakeReq("eagle", 3)),
kv_receiver=cast(Any, receiver),
metadata_buffer_index=9,
)
should_remove = queue._commit_transfer_to_req(decode_req)
self.assertIs(should_remove, True)
output_topk_p.fill_(-1)
output_topk_index.fill_(-2)
output_hidden_states.fill_(-3)
self.assertEqual(decode_req.req.output_ids, [7])
self.assertEqual(decode_req.req.cached_tokens, 320)
self.assertEqual(decode_req.req.output_topk_p.tolist(), list(range(16)))
self.assertEqual(decode_req.req.output_topk_index.tolist(), list(range(16)))
self.assertEqual(
decode_req.req.hidden_states_tensor.tolist(),
[float(i) for i in range(8)],
)
self.assertNotEqual(
decode_req.req.output_topk_p.data_ptr(), output_topk_p.data_ptr()
)
self.assertNotEqual(
decode_req.req.output_topk_index.data_ptr(), output_topk_index.data_ptr()
)
self.assertNotEqual(
decode_req.req.hidden_states_tensor.data_ptr(),
output_hidden_states.data_ptr(),
)
def test_resume_retracted_reqs_compacts_queue_in_one_pass(self):
prealloc_queue = DecodePreallocQueue.__new__(DecodePreallocQueue)
prealloc_queue.req_to_token_pool = cast(
@@ -380,6 +445,7 @@ class TestDecodeQueueCompaction(CustomTestCase):
SimpleNamespace(
available_size=lambda: 1,
req_to_token=FakeTensor([[1, 2, 3, 4, 5, 6, 7, 8]]),
write=lambda *args, **kwargs: None,
),
)
queue.req_to_metadata_buffer_idx_allocator = cast(
@@ -387,6 +453,7 @@ class TestDecodeQueueCompaction(CustomTestCase):
)
queue.token_to_kv_pool_allocator = cast(Any, SimpleNamespace(page_size=1))
queue.token_to_kv_pool = cast(Any, object())
queue.draft_token_to_kv_pool = None
queue.num_reserved_decode_tokens = 1
queue.scheduler = cast(
Any,
@@ -402,7 +469,10 @@ class TestDecodeQueueCompaction(CustomTestCase):
queue._allocatable_tokens = (
lambda retractable_tokens=None, count_retracted=True: 2
)
queue._pre_alloc = lambda req: setattr(req, "req_pool_idx", 0)
queue._pre_alloc = lambda req, **kwargs: (
setattr(req, "req_pool_idx", 0),
torch.arange(len(req.origin_input_ids), dtype=torch.int64),
)[1]
blocked_req = FakeReq("blocked", 1)
blocked_req.origin_input_ids = [1, 2, 3]
@@ -445,6 +515,7 @@ class TestDecodeQueueCompaction(CustomTestCase):
SimpleNamespace(
available_size=lambda: 1,
req_to_token=FakeTensor([[1, 2, 3, 4, 5, 6, 7, 8]]),
write=lambda *args, **kwargs: None,
),
)
queue.req_to_metadata_buffer_idx_allocator = cast(
@@ -452,6 +523,7 @@ class TestDecodeQueueCompaction(CustomTestCase):
)
queue.token_to_kv_pool_allocator = cast(Any, SimpleNamespace(page_size=1))
queue.token_to_kv_pool = cast(Any, object())
queue.draft_token_to_kv_pool = None
queue.num_reserved_decode_tokens = 1
queue.scheduler = cast(
Any,
@@ -467,7 +539,10 @@ class TestDecodeQueueCompaction(CustomTestCase):
queue._allocatable_tokens = (
lambda retractable_tokens=None, count_retracted=True: 6
)
queue._pre_alloc = lambda req: setattr(req, "req_pool_idx", 0)
queue._pre_alloc = lambda req, **kwargs: (
setattr(req, "req_pool_idx", 0),
torch.arange(len(req.origin_input_ids), dtype=torch.int64),
)[1]
skipped = DecodeRequest(
req=cast(Any, FakeReq("skip", 1)),