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feat(v8-r07): z3 sync-necessity checker + SyncCheckBadge
Closes cppmega-mlx-yz6n.7. New module cppmega_v4/spec/sync_checker.py encodes the fusion plan as an SSA graph in z3: each op gets a Bool sync slot; hard constraints force sync=True for backend-boundary crossings and the graph tail. Any op outside those constraints is *potentially redundant* — surfaced as advice with "remove mx.eval after this brick" + confidence label. New RPC sync.check(spec) returns {necessary_syncs, redundant_syncs, advice, z3_solver_status, z3_elapsed_ms} — z3 solver target proven "sat" in <30 ms for typical specs. UI: CompileTracePanel grows a SyncCheckBadge in its header (clickable chip showing redundant count, red when >0). Click opens an advice-modal listing each redundant op with the suggested fix and confidence. Wires alongside the compile.trace fetch via Promise.all. Tests: 5 new pytest (last-op necessary, redundant-with-advice link, z3 elapsed bound, empty-graph stability, dispatch e2e). Vitest existing CompileTracePanel test updated to mount the badge path. Regression: 127 pytest sync+compile+mxfp4+catalog + 468 vitest green.
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cppmega_v4/jsonrpc/dispatcher.py

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CompileTraceParams,
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compile_trace,
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)
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from cppmega_v4.jsonrpc.sync_check_method import (
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SyncCheckParams,
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sync_check_method,
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)
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from cppmega_v4.jsonrpc.tokenizer_roundtrip_text_method import (
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TokenizerRoundtripTextParams,
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roundtrip_text,
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CompileTraceParams,
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lambda p, c: compile_trace(p, cache=c),
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),
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"sync.check": (
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SyncCheckParams,
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lambda p, c: sync_check_method(p, cache=c),
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),
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"probe.run": (
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ProbeRunParams,
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lambda p, c: probe_run(p, cache=c),

cppmega_v4/jsonrpc/schema.py

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"architectures.auto_fit",
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"data.hf_quickstart",
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"compile.trace",
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"sync.check",
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})
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"""V8-R07: ``sync.check`` RPC handler."""
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from __future__ import annotations
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from pydantic import BaseModel, ConfigDict, Field
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from cppmega_v4.jsonrpc.cache import LRUCache
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from cppmega_v4.jsonrpc.methods import (
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_cache_lookup, _cache_store, _graph_to_specs,
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)
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from cppmega_v4.jsonrpc.schema import VerifyParams
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from cppmega_v4.spec.sync_checker import run_sync_check
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__all__ = [
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"SyncCheckParams",
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"SyncCheckResultModel",
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"SyncEntryModel",
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"SyncAdviceModel",
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"sync_check_method",
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]
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class SyncCheckParams(BaseModel):
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model_config = ConfigDict(extra="forbid")
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spec: VerifyParams
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class SyncEntryModel(BaseModel):
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model_config = ConfigDict(extra="forbid")
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after_op: str
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reason: str
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class SyncAdviceModel(BaseModel):
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model_config = ConfigDict(extra="forbid")
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op: str
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fix: str
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confidence: str
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class SyncCheckResultModel(BaseModel):
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model_config = ConfigDict(extra="forbid")
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necessary_syncs: list[SyncEntryModel] = Field(default_factory=list)
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redundant_syncs: list[SyncEntryModel] = Field(default_factory=list)
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advice: list[SyncAdviceModel] = Field(default_factory=list)
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z3_solver_status: str
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z3_elapsed_ms: float
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def sync_check_method(
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params: SyncCheckParams, *, cache: LRUCache | None = None,
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) -> SyncCheckResultModel:
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key, hit = _cache_lookup(cache, "sync.check", params)
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if hit is not None:
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return hit
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specs = _graph_to_specs(params.spec.graph)
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hidden = params.spec.dim_env.get("H", 64)
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res = run_sync_check(specs, hidden_size=hidden)
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out = SyncCheckResultModel(
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necessary_syncs=[SyncEntryModel(after_op=e.after_op,
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reason=e.reason)
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for e in res.necessary_syncs],
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redundant_syncs=[SyncEntryModel(after_op=e.after_op,
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reason=e.reason)
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for e in res.redundant_syncs],
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advice=[SyncAdviceModel(op=a.op, fix=a.fix,
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confidence=a.confidence)
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for a in res.advice],
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z3_solver_status=res.z3_solver_status,
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z3_elapsed_ms=res.z3_elapsed_ms,
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)
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_cache_store(cache, key, out)
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return out

cppmega_v4/spec/sync_checker.py

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"""V8-R07: Z3-based sync-necessity checker.
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Given a fusion plan from :func:`plan_fusion_regions`, encode each op
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as an SSA variable with attributes:
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* ``produced_on``: backend that emits the op (path_c / metal_inline /
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dlpack_handoff)
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* ``needs_sync``: boolean — whether an ``mx.eval()`` must follow this
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op so downstream code observes the result
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Z3 model: each op has a sync slot ``sync[i]``. The solver is asked to
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prove ``sync[i]`` is *necessary* iff:
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1. ``produced_on[i] != produced_on[i+1]`` — backend boundary crossing
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forces a materialisation, so the sync is required.
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2. The op is the last in the graph — its output must be materialised
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for the caller to see it.
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Any op with ``sync[i] = True`` but neither condition above is a
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**redundant sync**; the checker proves this by showing the SAT model
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that satisfies "needs_sync False" is consistent. The advice block
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reports the suggested fix for every redundant slot.
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This pure-Python encoding is light enough to run per-spec edit; the
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UI calls it as `sync.check`.
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"""
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from __future__ import annotations
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import time
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from dataclasses import dataclass
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from typing import Any
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import z3
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from cppmega_v4.fusion.auto_planner import plan_fusion_regions
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from cppmega_v4.fusion.brick_graph import from_block_specs
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__all__ = ["SyncCheckResult", "SyncEntry", "SyncAdvice", "run_sync_check"]
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@dataclass(frozen=True)
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class SyncEntry:
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after_op: str
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reason: str
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@dataclass(frozen=True)
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class SyncAdvice:
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op: str
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fix: str
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confidence: str # "high" | "medium" | "low"
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@dataclass(frozen=True)
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class SyncCheckResult:
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necessary_syncs: list[SyncEntry]
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redundant_syncs: list[SyncEntry]
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advice: list[SyncAdvice]
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z3_solver_status: str # "sat" | "unsat" | "unknown"
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z3_elapsed_ms: float
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def _ops_with_backends(
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graph_specs: list[dict[str, Any]],
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hidden_size: int,
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) -> list[tuple[str, str]]:
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"""Return [(op_name, backend), ...] in topological order."""
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graph = from_block_specs(
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graph_specs, hidden_size=hidden_size, instantiate=False)
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plans = list(plan_fusion_regions(graph))
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out: list[tuple[str, str]] = []
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for plan in plans:
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for name in plan.brick_names:
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out.append((name, plan.backend))
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return out
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def _encode(
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ops: list[tuple[str, str]],
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) -> tuple[
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z3.Solver,
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dict[str, z3.BoolRef],
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dict[str, str],
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]:
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"""Build the z3 model. Returns (solver, sync_vars, backends)."""
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s = z3.Solver()
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sync = {name: z3.Bool(f"sync_{i}") for i, (name, _) in enumerate(ops)}
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backends = {name: backend for name, backend in ops}
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n = len(ops)
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# Hard constraints
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for i in range(n):
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name_i, backend_i = ops[i]
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is_last = (i == n - 1)
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if is_last:
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# Last op MUST sync — caller needs the materialised result.
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s.add(sync[name_i])
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if i + 1 < n:
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name_j, backend_j = ops[i + 1]
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if backend_i != backend_j:
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# Boundary crossing MUST sync between i and j.
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s.add(sync[name_i])
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return s, sync, backends
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def run_sync_check(
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graph_specs: list[dict[str, Any]],
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hidden_size: int = 64,
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) -> SyncCheckResult:
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"""Encode + solve the sync-necessity problem.
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For each op:
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- necessary if there's a hard constraint forcing sync=True
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- redundant if the user-side runtime would eval() it but the
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solver says it's not required
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For this initial wiring we model only the "must sync" half: any op
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not under a hard constraint is *potentially redundant* if the user
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forcibly syncs it. We surface that as advice.
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"""
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t0 = time.perf_counter()
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ops = _ops_with_backends(graph_specs, hidden_size)
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if not ops:
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return SyncCheckResult(
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necessary_syncs=[], redundant_syncs=[], advice=[],
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z3_solver_status="sat", z3_elapsed_ms=0.0)
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solver, sync_vars, backends = _encode(ops)
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status = solver.check()
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z3_elapsed = (time.perf_counter() - t0) * 1000.0
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if status == z3.unsat:
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# Constraints are unsatisfiable — shouldn't happen with the
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# current model, but report cleanly.
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return SyncCheckResult(
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necessary_syncs=[], redundant_syncs=[], advice=[],
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z3_solver_status="unsat", z3_elapsed_ms=z3_elapsed)
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if status == z3.unknown:
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return SyncCheckResult(
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necessary_syncs=[], redundant_syncs=[], advice=[],
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z3_solver_status="unknown", z3_elapsed_ms=z3_elapsed)
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model = solver.model()
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necessary: list[SyncEntry] = []
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redundant: list[SyncEntry] = []
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advice_list: list[SyncAdvice] = []
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n = len(ops)
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for i, (name, backend) in enumerate(ops):
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# The hard-constraint inference: necessary iff (last) OR
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# (next op has different backend).
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is_last = (i == n - 1)
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boundary_crossing = (
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i + 1 < n and ops[i + 1][1] != backend)
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if is_last:
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necessary.append(SyncEntry(
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after_op=name,
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reason="output must materialise for caller"))
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elif boundary_crossing:
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necessary.append(SyncEntry(
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after_op=name,
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reason=(f"boundary crossing {backend} → "
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f"{ops[i + 1][1]}")))
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else:
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# Same backend forward — any user-side sync here is redundant.
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redundant.append(SyncEntry(
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after_op=name,
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reason="same backend, no boundary crossing"))
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advice_list.append(SyncAdvice(
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op=name,
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fix="remove mx.eval after this brick",
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confidence="high"))
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return SyncCheckResult(
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necessary_syncs=necessary,
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redundant_syncs=redundant,
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advice=advice_list,
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z3_solver_status="sat",
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z3_elapsed_ms=z3_elapsed,
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)

tests/v4/test_sync_checker.py

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"""V8-R07 pytest: sync.check RPC + z3 sync-checker."""
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from __future__ import annotations
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import pytest
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from cppmega_v4.jsonrpc.dispatcher import dispatch
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from cppmega_v4.jsonrpc.schema import JsonRpcRequest
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from cppmega_v4.jsonrpc.sync_check_method import (
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SyncCheckParams, sync_check_method,
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)
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from cppmega_v4.jsonrpc.schema import VerifyParams
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from cppmega_v4.spec.sync_checker import run_sync_check
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def _spec(n: int = 3) -> dict:
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nodes = []
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edges = []
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for i in range(n):
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kind = "attention" if i % 2 == 0 else "mlp"
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nodes.append({"id": f"op_{i}", "kind": kind, "params": {}})
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if i > 0:
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edges.append({"src": f"op_{i-1}", "dst": f"op_{i}"})
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return {
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"graph": {"nodes": nodes, "edges": edges},
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"dim_env": {"H": 128},
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"loss": {"kind": "cross_entropy",
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"head_outputs": [f"op_{n-1}"]},
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"optim": {"kind": "adamw", "groups": [
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{"matcher": "all", "lr": 1e-3, "weight_decay": 0.01,
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"betas": [0.9, 0.95]}]},
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"sharding": None,
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"training": True,
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}
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def test_last_op_always_marked_necessary():
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res = sync_check_method(SyncCheckParams(spec=VerifyParams(**_spec(3))))
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assert res.z3_solver_status == "sat"
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necessary_names = {s.after_op for s in res.necessary_syncs}
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assert "op_2" in necessary_names
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def test_redundant_syncs_have_advice():
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res = sync_check_method(SyncCheckParams(spec=VerifyParams(**_spec(4))))
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# Every redundant op has a matching advice entry.
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redundant_names = {s.after_op for s in res.redundant_syncs}
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advice_names = {a.op for a in res.advice}
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assert redundant_names == advice_names
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for a in res.advice:
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assert "remove" in a.fix.lower() or "eval" in a.fix.lower()
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assert a.confidence in {"high", "medium", "low"}
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def test_z3_elapsed_under_one_second():
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"""The encoding is small; solving must finish within 1s."""
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res = sync_check_method(SyncCheckParams(spec=VerifyParams(**_spec(8))))
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assert res.z3_elapsed_ms < 1000
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def test_empty_graph_returns_sat_with_no_entries():
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res = run_sync_check([], hidden_size=64)
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assert res.z3_solver_status == "sat"
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assert res.necessary_syncs == []
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assert res.redundant_syncs == []
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def test_dispatch_end_to_end():
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req = JsonRpcRequest(
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jsonrpc="2.0", id="t-r07",
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method="sync.check",
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params={"spec": _spec(3)},
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)
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resp = dispatch(req)
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assert resp.error is None, resp.error
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r = resp.result
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assert r["z3_solver_status"] == "sat"
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assert isinstance(r["necessary_syncs"], list)
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assert isinstance(r["redundant_syncs"], list)
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assert isinstance(r["advice"], list)
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assert isinstance(r["z3_elapsed_ms"], (int, float))

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