SolitaryThinker
4e331eb7ff
Mechanical conversion of every relative import under v2/ to an absolute v2.* path (from .x / ..x / ...x -> from v2.<pkg>.x) so imports are unambiguous, grep-able, and stable when code is copied/moved between entrypoints (VideoGenerator, CLI, server). Surgical prefix-only rewrite: only the 'from <dots><module>' prefix changed — import names, parentheses, multi-line formatting, comments, and ordering are byte-for-byte preserved (no collapsing, no reorder, no unrelated reformatting). - 471 imports across 125 files; v2/tests/ was already absolute (untouched). - Validated: all 125 files compile, every 'from v2.* import' target resolves to a real module/package, zero relative imports remain (full sweep), CPU mini suite green (202 passed, 2 skipped).
172 lines
8.2 KiB
Python
172 lines
8.2 KiB
Python
"""Disaggregated program execution (design_v3 §13; design.md §6.3.4; sglang multimodal_gen).
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Runs a Program across role pools: each node executes on its assigned pool's resident instance, and
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cross-pool edges move slots through the producing pool's connector (with credit flow-control +
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``chunk_ready`` readiness + a TransferManifest). A request occupies one pool at a time (capacity-aware
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dispatch) and walks a state machine waiting → running:<role> → done. Output is bit-identical to inline
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execution (same weights, same data) — verified by a test.
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Exposes the same ``tick()``/``done``/``output()`` surface as the inline ``ProgramRunner`` so the
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AsyncEngine drives inline and disaggregated requests uniformly.
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"""
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from __future__ import annotations
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from typing import Any
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from v2._enums import ExecutionProfile
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from v2.loop.driver import LoopRunner
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from v2.program.specs import ComponentNode, ModelLoopNode, Program
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from v2.request.artifacts import Output
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from v2.request.cancel import CancelKind, CancelScope
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from v2.request.streams import Stream
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from v2.transport import TransferManifest, payload_nbytes
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from v2.runtime.context import RuntimeLoopContext
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from v2.runtime.engine import _to_artifact
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class DisaggregatedRunner:
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def __init__(self, pools, program: Program, request: Any, *, observers, interceptors):
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self.pools = pools
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self.program = program
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self.request = request
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self.observers = observers
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self.interceptors = interceptors
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self.slots: dict[str, Any] = {}
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self.slot_pool: dict[str, str] = {} # slot name -> pool_id currently holding it
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self.metrics: dict[str, float] = {}
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self.transfers = 0
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self.node_idx = 0
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self.done = False
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self.state = "waiting"
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self.error: str | None = None
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self.cancel_scope = CancelScope(kind=CancelKind.REQUEST, target_id=request.request_id)
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self.stream = Stream(request.request_id)
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self._cur_pool = None
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self._ctxs: dict[str, RuntimeLoopContext] = {}
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self.loop_runner: LoopRunner | None = None
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# --- the same progress/lifecycle surface the AsyncEngine drives ----------- #
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@property
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def _progress(self) -> tuple:
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sidx = self.loop_runner.state.step_idx if self.loop_runner is not None else -1
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return (self.node_idx, sidx, self._cur_pool.pool_id if self._cur_pool else "")
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def _ctx_for(self, pool) -> RuntimeLoopContext:
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if pool.pool_id not in self._ctxs:
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self._ctxs[pool.pool_id] = RuntimeLoopContext(
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pool.instance, observers=self.observers, interceptors=self.interceptors,
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slots=self.slots, stream=self.stream, cancel_scope=self.cancel_scope,
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profile=ExecutionProfile.SERVE, metrics=self.metrics, request_id=self.request.request_id)
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return self._ctxs[pool.pool_id]
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def _leave_current(self) -> None:
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if self._cur_pool is not None:
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self._cur_pool.leave()
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self._cur_pool = None
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def _ensure_reads(self, node, pool) -> None:
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"""Move any read-slots that live on another pool to this pool, via the producer's connector."""
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for r in node.reads:
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holder_id = self.slot_pool.get(r)
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if holder_id and holder_id != pool.pool_id and r in self.slots:
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src = self.pools.by_id[holder_id]
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got = src.connector.acquire_credit() # credit-based flow control
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try:
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manifest = TransferManifest(keys=(r,), producer_id=holder_id, consumer_id=pool.pool_id,
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src_location=src.connector.name, dst_location=pool.connector.name,
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nbytes=payload_nbytes(self.slots.get(r)))
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src.connector.put(r, self.slots.get(r), manifest) # producer publishes (chunk_ready)
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if src.connector.chunk_ready(r): # readiness signal
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self.slots[r] = src.connector.take(r) # consumer fetches
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self.slot_pool[r] = pool.pool_id # re-home ONLY on a successful fetch
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self.transfers += 1
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self.metrics["transfers"] = self.metrics.get("transfers", 0) + 1
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finally:
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if got: # never leak a credit on an error path
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src.connector.release_credit()
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def _commit_node_writes(self, node, pool) -> None:
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for w in node.writes:
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self.slot_pool[w] = pool.pool_id
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def tick(self) -> bool:
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if self.done:
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return True
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self.cancel_scope.check() # common-path cancellation (online + offline, all nodes)
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nodes = self.program.active_nodes(self.request)
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while True:
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if self.node_idx >= len(nodes):
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self._leave_current()
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self.done = True
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self.state = "done"
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return True
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node = nodes[self.node_idx]
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pool = self.pools.pool_for(node.node_id)
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if pool is not self._cur_pool: # switching pools: capacity-aware dispatch
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if not pool.can_admit():
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self.state = f"waiting:{pool.role}"
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return False # backpressure — pool at capacity
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self._leave_current()
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pool.enter()
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self._cur_pool = pool
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self.state = f"running:{pool.role}"
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self._ensure_reads(node, pool)
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if isinstance(node, ComponentNode):
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if node.fn is not None:
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node.fn(pool.instance, self.slots, self.request, self._ctx_for(pool))
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self._commit_node_writes(node, pool)
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self.node_idx += 1
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continue
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if isinstance(node, ModelLoopNode):
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if self.loop_runner is None:
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self.loop_runner = LoopRunner(pool.instance.loop(node.loop_id),
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self._ctx_for(pool), self.request, pool.instance)
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plan = self.loop_runner.peek()
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if plan is None:
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self._finish_loop(node, pool)
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return False
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self.loop_runner.step()
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self.metrics["stepped_units"] = self.metrics.get("stepped_units", 0) + 1
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if self.loop_runner.done:
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self._finish_loop(node, pool)
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return False # yield one loop step (for interleaving)
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self.node_idx += 1
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def _finish_loop(self, node, pool) -> None:
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if self.loop_runner is not None and self.loop_runner.result is not None:
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self.slots[node.output_slot] = self.loop_runner.result.outputs
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self._commit_node_writes(node, pool)
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for k, v in self.loop_runner.result.metrics.items():
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self.metrics[k] = self.metrics.get(k, 0.0) + v
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self.loop_runner = None
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self.node_idx += 1
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def run_to_completion(self) -> None:
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stuck = 0
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while not self.done:
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p0 = self._progress
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self.tick()
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if not self.done and self._progress == p0:
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stuck += 1
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if stuck > 3: # single-runner: a stall means real OOM/capacity-0
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raise RuntimeError(f"disaggregated request {self.request.request_id} stalled "
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f"(state={self.state}); a pool cannot admit it")
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else:
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stuck = 0
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def close(self) -> None:
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"""Release any pool this request is occupying (idempotent). Called on terminal exit so a
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cancel/error mid-loop never leaks pool capacity (the §6.4 failure-isolation guarantee)."""
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self._leave_current()
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def output(self) -> Output:
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artifacts = {name: _to_artifact(name, self.slots.get(slot), producer=slot)
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for name, slot in self.program.output_artifacts.items()}
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return Output(request_id=self.request.request_id, artifacts=artifacts,
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metrics=dict(self.metrics, transfers=float(self.transfers)), error=self.error)
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