Refactor: make a Graph boundary scalar a formal parameter - #2160
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📝 WalkthroughWalkthroughThe change replaces scalar source descriptors with inheritance metadata across graph arguments, recording, graph images, and execution. It updates callers and tests for the new API. It also adds opt-in compiler diagnostic warnings for orchestration shared-library builds. ChangesGraph scalar inheritance
Compiler diagnostic surfacing
Priority: ➖ Normal Estimated code review effort: 4 (Complex) | ~45 minutes Sequence Diagram(s)sequenceDiagram
participant GraphTaskArgs
participant Orchestrator
participant GraphDefinition
participant DeviceExecution
GraphTaskArgs->>Orchestrator: submit scalar arguments
Orchestrator->>Orchestrator: classify scalar inheritance
Orchestrator->>GraphDefinition: write inheritance metadata and packed values
GraphDefinition->>DeviceExecution: materialize graph image
DeviceExecution->>GraphDefinition: resolve boundary or definition scalar
Merge Risk: 🟡 Moderate · up to Warning-as-error builds can leave temporary artifacts, recording tests can use parameters from another recording, and malformed graph data can resolve scalars incorrectly or read out of bounds. Address these before merge. 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
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Inline comments:
In `@src/common/host_build_graph/docs/GRAPH_EXECUTION.md`:
- Line 48: Update both Graph examples to use GraphTaskArgs for every Graph
boundary parameter, including the Graph body and rt_submit_graph wrapper, while
retaining CoreTaskArgs for in-graph task arguments. Preserve
add_scalar(args.scalar(0)) for replay-time inheritance and describe it as a
forwarded parameter rather than the current invocation’s value.
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simpler_setup/kernel_compiler.pysrc/a2a3/runtime/host_build_graph/orchestration/arg_with_deps.hsrc/a2a3/runtime/host_build_graph/orchestration/orchestration_api.hsrc/a5/runtime/host_build_graph/orchestration/arg_with_deps.hsrc/a5/runtime/host_build_graph/orchestration/orchestration_api.hsrc/common/host_build_graph/device/graph_execution.cppsrc/common/host_build_graph/docs/GRAPH_EXECUTION.mdsrc/common/host_build_graph/graph_cache.hsrc/common/host_build_graph/graph_execution.hsrc/common/host_build_graph/graph_recorder_pool.hsrc/common/host_build_graph/host/orchestrator.cppsrc/common/host_build_graph/runtime_types.hsrc/common/host_build_graph/types.htests/ut/cpp/common/test_hbg_graph_async_submit.cpptests/ut/cpp/common/test_hbg_graph_cache.cpp
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Inline comments:
In `@simpler_setup/kernel_compiler.py`:
- Line 394: Ensure the _run_subprocess diagnostics path cleans up output_path
before warnings.warn can raise under an error-level UserWarning filter. Move
diagnostic emission after cleanup or protect the os.remove(output_path)
operation in _compile_to_bytes with finally, while preserving existing
successful compilation behavior.
In `@src/common/host_build_graph/device/graph_execution.cpp`:
- Around line 466-473: Update the scalar inheritance validation in the graph
materialization path to reject malformed entries: require non-inherited
references to have a zero boundary_index(), and validate inherited references
only when boundary_scalar_count is nonnegative, boundary_scalars is non-null,
and the index is within that count. Preserve the existing INVALID result and
materialize_busy reset behavior on failure.
In `@tests/ut/cpp/common/test_hbg_graph_async_submit.cpp`:
- Around line 114-120: Update the fake recording setup around fake_graph_begin
and result.params so each queued recording owns independent tensor and parameter
storage instead of referencing the reusable fake.params. For every recording
handle, copy each tensor tag and boundary metadata—launch_spec, early-resolve,
task timing, and predicate—matching OrchestratorState::graph_begin_inner, while
preserving the existing graph commit flow.
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simpler_setup/kernel_compiler.pysrc/a2a3/runtime/host_build_graph/orchestration/arg_with_deps.hsrc/a2a3/runtime/host_build_graph/orchestration/orchestration_api.hsrc/a5/runtime/host_build_graph/orchestration/arg_with_deps.hsrc/a5/runtime/host_build_graph/orchestration/orchestration_api.hsrc/common/host_build_graph/device/graph_execution.cppsrc/common/host_build_graph/docs/GRAPH_EXECUTION.mdsrc/common/host_build_graph/graph_cache.hsrc/common/host_build_graph/graph_execution.hsrc/common/host_build_graph/graph_recorder_pool.hsrc/common/host_build_graph/host/graph_recorder_pool.cppsrc/common/host_build_graph/host/orchestrator.cppsrc/common/host_build_graph/runtime_core.hsrc/common/host_build_graph/runtime_ops.hsrc/common/host_build_graph/runtime_types.hsrc/common/host_build_graph/types.htests/st/a2a3/host_build_graph/paged_attention_unroll/kernels/orchestration/paged_attention_orch.cpptests/ut/cpp/common/test_hbg_graph_async_submit.cpptests/ut/cpp/common/test_hbg_graph_cache.cpp
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Thanks — two of the three are fixed in
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Second review round — all four applied, in A. B. Broken sentence at C. Non-fatal guard followed by an out-of-bounds index. Right on both counts: D. The Ownership paragraph overstated the old
The commit message and PR description now say that the old arrangement was correct by
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Doc-only round — two more items, both resolved by updating the plan rather than the code. 3. §5.1.1 got folded into this commit, though the plan called it out-of-scope for P2. 4. No code changed for either. |
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评审：Refactor: make a Graph boundary scalar a formal parameter评审基线： 总评：方向和机制是对的，是一次真正的改进。 它把"靠地址身份推断、任何一次值拷贝都会静默失效"的机制，换成了"由类型承载、写错会被编译器点名"的机制。自指不变式设计得干净， 结论：needs discussion（倾向 request changes）。 阻塞项是 §4.1 的两条和 §4.2 的 ④，其次是 ③、⑦。 一、用户视角：改之前是什么问题1.1 旧代码怎么区分"动态参数"和"常量"边界 scalar 和常量在 判据是地址身份。而任何一次 C++ 取值都会把地址身份抹掉。 1.2 于是用户会踩到四类坑
第三行是本 PR 的主要目标。它是最自然的 C++ 写法 —— 把参数读进局部变量，中间做点判断，再传给多个 task。 // examples/a2a3/host_build_graph/deepseek_v4_flash_decode/.../decode_fwd_graph.cpp:1270
int32_t csa_layer_inline714 = static_cast<int32_t>(args.scalar(0));
uint64_t arrived_ctx = args.scalar(2);
int32_t my_rank = static_cast<int32_t>(args.scalar(5));第四行我 grep 过，仓库里目前没人这么写，所以是潜在坑而非既有 bug。 1.3 踩中的后果长什么样以 qwen decode 为例，
attention 算在错的位置上。没有报错、没有 warning、没有 fatal，输出只是"不对"。而且它只在开启 Graph 缓存之后出现 —— 关掉 Graph 走普通路径，同一份编排代码是对的。这类 bug 的定位成本极高。 二、改之后用户看到的结果2.1 三种意图现在有三种拼写// ① 转发：这一格跟着边界参数走，每次 replay 都刷新
task_args.add_scalar(args.scalar(0));
// ② 有意读值：正确的位模式逆变换，且是唯一能到 enum 的写法
int32_t layer = args.scalar(0).to<int32_t>();
DataType dt = args.scalar(10).to<DataType>();
float scale = args.scalar(7).to<float>(); // 1.0f，不是 1065353216.0f
// ③ 有意冻结：把外层 Graph 的参数按录制时刻的值固化进内层边界
inner_args.add_static_scalar(args.scalar(0));2.2 关键：
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| 旧写法 | 新编译结果 |
|---|---|
uint64_t v = args.scalar(i); / static_cast<int32_t>(...) |
|
static_cast<DataType>(args.scalar(i)) |
❌ 编译失败（转到枚举不接受用户自定义转换） |
copy_scalars_from / add_scalars_i32 / args.scalar(i) = x |
❌ 编译失败，API 已删 |
库内规模：24 个 hbg 编排文件、103 处 .scalar(N) 会出警告（与 PR body 的 "98 sites" 吻合）。
硬错误在库内只有 1 处，PR 已改。我核对了剩下 3 处 static_cast<DataType>(x.scalar(i)) —— tests/st/a2a3/tensormap_and_ringbuffer/paged_attention_unroll、examples/workers/l3/worker_chip_orch_comm_stream、tests/st/worker/comm_region/recursive_single_owner —— 全部是 _RUNTIME = "tensormap_and_ringbuffer"，用 tmr 自己那份 types.h，不受影响。库内没有漏改的编译中断。
跨仓库风险：PR body 提到 pypto 有 2 个生成器模板走这条弃用转换。如果那两个模板生成的是 static_cast<SomeEnum>，那不是警告而是编译中断 —— 建议合并前确认。
2.5 另外两个可感知的变化
- 不再有"整个 Graph 静默退回不缓存"这条路：非 const
scalar()和它的失效机制（INVALIDATED_BOUNDARY）一起删掉了。 - 一个诊断盲区：GCC 不报在系统头里实例化的 deprecation，所以
EXPECT_EQ(args.scalar(i), v)这种不会报。文档明确写了"这个警告是本仓库内写出来的读值的清单，不是不存在读值的证明"—— 这个坦诚是对的。
三、具体是怎么改的
3.1 把"来源"变成类型的一部分
Arg 的 scalar 存储变成两条并行数组：scalars_[]（值）+ scalar_inherited_[]（来源 slot 地址，null = 静态）。scalar(i) 返回 16 字节句柄 InheritableScalar{bits_, origin_}。
关键：origin_ 只与 null 比较、只做减法，永远不解引用。 这正是它可以悬垂的原因 —— 调用方的局部变量在 submit 返回后就出作用域了，但值早在 add_scalar 时就拷走了。单测 AValueOutlivesItsOrigin 钉住了这条。
3.2 为什么转换必须发生在 add_scalar 而不是读取时
这一段是整个方案的支点，值得展开。如果把"值 + 来源"打包成一个 8 字节 union（省 8 字节），那么"跟随参数"就意味着在 pack_scalars 时通过 origin 去读源 slot —— 而那时 T 已经丢了，不知道该按 int32_t 还是 float 解释。所以任意宽度的参数都能做动态，代价就是这 8 字节。这个权衡是对的。
3.3 动静态由值类别声明
args.add_scalar(token_pos); // lvalue：调用方持有、可能变 → 动态
args.add_scalar(uint32_t{18}); // rvalue：谁也改不了 → 静态
args.add_static_scalar(token_pos); // 显式覆盖值类别 → 静态批量接口因为"数组元素永远是 lvalue"、值类别失去区分力，所以拆成 add_scalars / add_static_scalars 两个入口。
3.4 自指不变式
scalar(i) 会折叠 —— 已继承的 slot 交出它自己的 origin，于是 C ← B ← A 记录成 C ← A，链路恒为一跳。配套的另一半在 gen_scalar_params_from_args：形式参数表里动态参数指向它自己。
这样参数表的 slot 数组基址就是录制解析的唯一基准：无论动态还是静态，scalar(i) 都折叠到 &scalars_[i]，跟随参数 i 的 task slot 报出的就是这个数组第 i 格。参数若指向调用方变量，地址会落在数组外、被判为静态、静默停止刷新 —— 单测 AStaticParameterIsItsOwnOrigin 专门钉这条。这是 PR 里最重要的一个不变式，测试覆盖到位。
3.5 录制分类：线性扫描 → 一次减法
const uintptr_t origin = reinterpret_cast<uintptr_t>(args.scalar_origin(i));
if (origin < base || origin - base >= span || (origin - base) % sizeof(uint64_t) != 0) {
ref = GraphScalarInheritance::self_value(); // 不属于本边界 → 静态
continue;
}
ref = GraphScalarInheritance::from_boundary((origin - base) / sizeof(uint64_t));这次减法同时完成"求索引"和"证明归属"。用整数运算而不是指针比较是对的 —— 指针关系运算符只在同一数组对象内有定义，而这里明确允许数组外的 origin 进来。
3.6 wire 结构收紧
GraphScalarInheritance 字段私有 + 工厂函数，"带着索引却声称不继承"这种状态无法拼写。device 侧 materialize_slice 的三分支因此塌成两分支 —— 原来的"非法 kind"出口不再需要。很好的收紧。
3.7 所有权修正（风险最高的一块）
旧 GraphBoundary 持有 const GraphTaskArgs *args，指向 recorder pool 里一块会被复用的槽位；job 结束后指针就悬了，只是没人读。PR body 说得很准确："correct by that timing rather than by ownership"。
改成持有 + pool 借 const GraphTaskArgs *（指向 in-flight entry 自己那份）后，我独立验证了生命周期，成立：
graph_begin_inner在inflight.emplace之前填完 boundary，发布后只读；- entry 只在两处消失 ——
graph_submit_pending_definition失败时的inflight.erase（该路径不入队 job），以及graph_commit_inner的drained.swap；后者先recording_cv.wait(!any_recording())，而排队未启动的 job 其 entry 仍是RECORDING，会被等到； shutdown()先wait()排空再置stopping_；- 并发读（提交线程做同 key 比较 / recorder 线程录制）都是 const 读。
tensors 用定长数组而非 vector 是必需的：TensorRef 存的是 Tensor*，vector 扩容会让这些指针失效。
3.8 Arg 封装收紧
用私有继承而不是"公有基类 + 隐藏名字"的理由写在注释里，而且是对的：公有基类可以通过隐式派生到基的转换绕过名字隐藏，static_cast<const Base &>(args).tags_ 照样能读到裸数组。单测里的 static_assert(!std::is_convertible_v<...>) 把这条钉死了。
四、当前修改还存在的问题
4.1 必须修 / 必须讨论
① graph_prepare 的边界一致性断言已成空断言，注释还在声称它有效
src/common/host_build_graph/host/orchestrator.cpp:2700-2703
debug_assert(
graph_boundary_matches(entry->boundary, args) &&
"the entry's boundary copy must match the boundary graph_begin recorded"
);两条路径传进来的 args 现在都是 &entry->boundary.params 本身（async 走 pool 的 *current.args，同步 fallback 直接传 params）。于是这是它跟自己比：计数必然相等，explicit_dep_count() 恒为 0（gen_scalar_params_from_args 不搬 deps），每个 tensor 都是同一对象。恒为 true。
上面那段注释（"debug builds still catch a boundary that stopped matching"）现在是假的，而且它承诺的"最多 128 个 Tensor descriptor 的走查"在 debug 构建里成了纯开销。
原本校验的是"调用方 args ↔ entry 的副本"这次交接。交接对象换成同一个对象后，这个校验就无处可施了。要么删掉（连注释），要么挪到 graph_begin_inner 里 gen_scalar_params_from_args 之后 —— 拿刚建好的 params 跟调用方 args 比，那才是真正需要被钉住的那次拷贝。
② TensorArgType::OUTPUT 的防御分支从"无害"退化成"静默截断"
orchestrator.cpp:2624-2640
case TensorArgType::OUTPUT:
boundary.params.set_error("Runtime-allocated output is not supported at a Graph boundary");
break; // ← 没有 add_*，这个 tensor 没进 params旧的 GraphOwnedArgs::assign 也只是 set_error 且没人检查，但旧代码的 boundary.tensors/types 是在独立循环里 push_back 全部 tensor，计数仍自洽。现在这条分支跳过 add_*，导致 params.tensor_count() < args.tensor_count()。之后 graph_boundary_matches 只是 debug_assert（release 编译掉），graph_layout_definition 也只检查 tensor_count() > 0 —— release 构建会拿一份被截断的边界继续录制并发布 Definition。
今天 rt_graph_args_cacheable（graph_cache.h:88）在上游就拒了 OUTPUT，所以不可达。但一个防御分支的失败模式从"无害"变成"静默错"值得修：set_error 之后直接返回非录制结果，或至少在 gen_scalar_params_from_args 之后检查 has_error()。
4.2 应该修
③ DFX 回归：转发的 scalar 丢失原始 dtype，args-dump 会打印位模式
src/common/host_build_graph/types.h:645-652
dump_arg_selection_.record_scalar_source(scalar_count_, 0, dtype_of<uint64_t>());被替换掉的 copy_scalars_from 走的是 copy_scalar_dtypes_from(...)，保留源 slot 的 dtype。现在任何 add_scalar(args.scalar(i)) 转发的 slot 一律记成 u64，于是 args dump 里一个转发进来的 float 会以位模式呈现（1.0f → 1065353216）—— 这恰恰是 to<T>() 注释点名要避免的那种误读，从"用户代码里的坑"搬到了"DFX 工具的输出里"。
代码注释承认了，但 GRAPH_EXECUTION.md 和 docs/dfx/args-dump.md 都没写。按 .claude/rules/doc-consistency.md §1，"转发会丢 dump dtype"应当写进边界 scalar 契约那一节。
④ 诊断上报和 103 处待迁移点在同一个 PR 落地，会立刻把警告灌进 CI
simpler_setup/kernel_compiler.py:707-714 给所有 orchestration 编译打开了 surface_diagnostics=True。待迁移面是 24 个文件 103 处，覆盖 deepseek_v4_flash_decode（单文件约 40 处）、paged_attention*、graph_execution、predicated_dispatch、spmd_paged_attention、worker_async_fifo、a5 全套。
几乎每个 hbg scene test 从此都会往 pytest warnings summary 里吐一大段 deprecation 文本。 两个后果：
- warnings summary 从"值得看"变成"必须忽略"。这跟本 PR"让新增的冻结变得可见"的意图正好相反 —— 噪声本身会掩埋后续真正新增的冻结点。
warnings.warn在-W error过滤器下会抛异常。任何以-W error跑 pytest 的下游（或将来在pyproject.toml里加filterwarnings = error）会在编译步骤直接失败。PR 里那个try/finally正是为这个场景加的 —— 说明已经预见到了，但选择是"让它抛"而不是先把噪声控制住。
PR body 自己的说法是这个警告应该是 "an inventory of the value reads"（一份清单）。目前实现给的不是清单，是一坨编译器原始输出。建议把 surface_diagnostics=True 拆到 #2170 之后，或在本 PR 里对上报做去重/汇总（只报唯一的 warning: 行 + 计数）。
⑤ _compile_and_read 的 finally 改变了编译失败时的产物保留行为
_run_subprocess 在 returncode != 0 时抛 RuntimeError（kernel_compiler.py:396-398），异常穿过新加的 finally，于是 delete_output=True 时失败编译留下的部分产物现在会被删掉 —— 旧代码只在成功读出后才删。orchestration 是 delete_output=(build_dir is None)，也就是不指定 build_dir 时失败产物不再留存，事后排查少了一个手段。注释只解释了"为什么要 finally"，没提这个副作用。
⑥ 注释与文档中的失效引用（doc-consistency §1）
orchestrator.cpp:2734（graph_abort）— 注释说 "butboundary_tensors()does not null-check"。boundary_tensors()本 PR 已删除、改名bound_boundary()，而后者恰恰加了debug_assert空检查。这条注释描述的是一个不存在的函数和一个反过来的事实。orchestrator.cpp:2687-2688— "read the boundary vectors under recording_mutex"。已不是 vector。docs/investigations/2026-08-host-orch-phase-tail-is-page-faults.md:99— 表格里的`.scalar_sources` (16 B)字段已改名scalar_inheritance且从 16 B 缩到 4 B。历史测量数字可以留，但字段名需要注记，否则照着这张表 grep 会找不到。
⑦ 没有性能证据，而本 PR 动了 bind 路径和 per-task 路径
Verified 一节列了 cpput 140/140 和 a2a3/a2a3sim scene tests，但没有任何 A/B。而 diff 里有三处方向不一致的改动：
TaskPayload::fill丢掉了刻意为之的 cache-line 对齐、无分支 memcpy（旧注释明确写着 "Eliminates branches"），这是每 task 都走的；- recorder pool 少了一次
GraphOwnedArgs::assign深拷贝（更快），但GraphBoundary从 vector 变成 ~13.3 KB 定长数组（分配路径变了）； graph_classify_scalars从"每 slot 线性扫边界"变成 O(1) 减法（明显更快）。
净效应不能靠推断。仓库里有 hbg-bind-phases skill，专门做 dsv4 + qwen decode 的 host_orch / graph_upload / sm_h2d / arena_h2d 分解 A/B —— 跑一次把数字贴进 PR body 就够了。
⑧ CI 红灯需要一个明确结论
st-network1-onboard-a2a3 失败。日志我拉不到（Azure blob 403），所以给不出根因。能给的证据：同一 job 在最近 6 个 open PR 中 5 个失败（#2183 / #2180 / #2179 / #2178 / #2176 fail，#2177 pass），失败耗时都落在 2m49s–3m21s 这个很窄的区间，像是启动阶段就挂。加上 §2.4 已确认库内没有本 PR 引起的编译中断，这强烈指向 job 层面的既存故障。但按 .claude/rules/discipline.md §5，红灯仍需 triage 后才能合。其余检查全绿。
4.3 可以考虑
⑨ 结构规模。 core churn 1194 行 > 1000（总计 18 files / +1033 −532 = 1565）。diff 里叠了四件可独立评审的事：(a) InheritableScalar 参数模型、(b) Arg 封装收紧、(c) GraphBoundary 所有权翻转（并发生命周期，风险最高）、(d) kernel_compiler.py 诊断与清理。(c)(d) 与 (a) 没有编译期耦合，(d) 更是完全可以单独走。当前只有一个 squash commit，没法给评审者一个阅读顺序。
⑩ GraphScalarInheritance 的第 4 字节。 注释说它是"值不确定的填充"并进了 device image。实际上 image buffer 零填充 + 成员逐一赋值使目的端填充保持 0，所以现状安全 —— 但写成显式 uint8_t reserved_{0} 会让 sizeof == 4 自洽、消除 MSan 噪声源，并恢复旧 GraphScalarSourceRef 有过的 reserved 字段。
⑪ 新不变式没有回归屏障。 所有权翻转是本 PR 风险最高的部分，但没有任何测试钉住"entry 必须活过 job"这条新不变式（graph_commit 的 drain 与 pool 借用的关系）。目前它只是断言式文档。
⑫ 新 API 覆盖不全。 add_static_scalars 无任何测试；add_scalars(const T *, int) 现在把每个元素标成 dynamic（origin 指向调用方数组、必然落在边界数组外、因而被记为 static）—— 净效果与旧行为一致，但"非空且悬垂的 origin 被正确判为 static"这条路径没测试。三个新入口里两个没覆盖。
⑬ GraphBoundary 内存权衡值得写进 PR body。 每个 in-flight entry 多出 ~13.3 KB tensor 数组 + 一整个 GraphTaskArgs，但换掉的是 pool 里 std::array<GraphOwnedArgs, kJobCapacity> 这块恒定驻留的存储 —— 从常驻改为按需，净账很可能是赚的。PR body 只提了"避免 value-init 清零 13.3 KB"这个次要点。
⑭ GRAPH_EXECUTION.md 已 585 行（doc-consistency §6 软目标 300 行），本 PR 再净增 42 行。溢出不是本 PR 造成的，按规则不必在此拆；但"边界 scalar 契约"现在已是一个有六个子情形（转发 / to<T>() / add_static_scalar / 派生值 / 非本边界继承 / GCC 系统头限制）的自成体系话题，抽出去会比继续往里塞更好。
附：pto-isa pin 检查
ℹ️ pto_isa.pin 固定在 5a4f74cbf627d4aac2e0ce10d5e0d8b118343265。本 PR 未改动任何 pto-isa 头文件引用，pto_isa.pin 本身也未被触碰。请确认该 pinned commit 仍然充分；仅在确需时才 bump 并用 --config-settings=cmake.define.SIMPLER_PTO_ISA_BUILD_COMMIT=<sha> 重建 onboard a2a3 的 host_runtime.so。
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A body that read a boundary scalar and one that read a constant were the same thing in the type system: both a uint64_t in the same slot array. Recording recovered the difference by comparing the host address the caller happened to pass against the boundary's slot range, so a body that loaded a parameter into a local and forwarded the local recorded a constant instead, silently, and every later replay of that Definition reused the stale value. A scalar now carries two things in parallel arrays: its value, and the slot that value came from. Null origin means static. The value is converted by to_u64 at add_scalar time, where the argument's type is still known, so a parameter of any width can be dynamic -- a representation that packed both into one eight-byte union could not, because following a parameter would then mean reading through the origin in pack_scalars, where the type is long gone. The origin is only ever compared against null and subtracted from a slot array base, never dereferenced, so it may dangle once the caller's local goes out of scope; the value was copied long before. What declares a parameter dynamic is the argument's value category: add_scalar of an lvalue (the caller holds it and may change it) or of an InheritableScalar (it already names a parameter) is dynamic, a literal is static, and add_static_scalar says so explicitly whatever was passed. InheritableScalar has no public getter for its bits: the only place that reads one is add_scalar_one, forwarding a parameter into a destination slot, and it does that through to<uint64_t>() rather than a bits() accessor. A public bits() would have been a second silent value-read path next to the deprecated conversion -- exactly what that conversion exists to close off. InheritableScalar carries value and origin together, so a destination stores the value without following the origin. Forwarding one keeps the parameter; reading its number goes through a deprecated conversion, so the point where a body freezes a parameter is a compiler diagnostic instead of a silent change of behaviour. to<T>() is the deliberate read: it applies to_u64's actual inverse, and it is the only spelling that reaches an enum, since a conversion to an enumeration does not accept a user-defined one on the way. One limit on that diagnostic: GCC suppresses a deprecation instantiated inside a system header, so a value read whose conversion happens in third-party template code stays silent -- EXPECT_EQ is the case found here. The warning is an inventory of the value reads written in this repo, which is what the migration needs, not a proof that none exists. A Graph's parameters are built by GraphTaskArgs::gen_scalar_params_from_args, and a dynamic parameter there names *itself*. That is the invariant the scheme rests on: scalar(i) folds to &scalars_[i] whether a parameter is dynamic or static, so a task slot following parameter i reports that array's i-th slot and recording turns it into the index i. A parameter naming the caller's variable instead would hand out an address outside the array, the task slot would be recorded as static, and it would stop being refreshed on replay with no diagnostic at all. GraphTaskArgs also rejects a runtime-allocated output at compile time. A Definition records the device addresses its body resolved against, so a boundary tensor must own its buffer when the body is recorded and again on every replay, while a TensorCreateInfo names a buffer the runtime would allocate at submit -- a different address each time, and none at record time. The submit-time check that stood in for that constraint goes with it: rt_graph_args_cacheable no longer walks the tags looking for one, and the boundary builder's branch for the tag is unreachable rather than an error path that left a boundary short a tensor. GraphScalarInheritance is the wire form: recording knows whether a slot inherits and which parameter it inherits, so a flag and an index say both. Both are uint16_t, which leaves the type no padding -- it is memcpy'd into the Definition image, and a byte no writer sets is a byte the image carries without meaning. Its fields are private and set only together, through self_value() and from_boundary(), so an entry claiming to inherit while naming no parameter cannot be spelled. The index is still a claim about a boundary the entry cannot see, so the packer and materialize each bound it against the boundary they do have. GraphBoundary holds the parameter list rather than a pointer to one. That pointer named a slot in the recorder pool, which is reused, so it went stale the moment a job finished and nothing cleared it. Nothing read it stale: classify, layout and fill all run inside the job, and a later same-key submission compares tensors, types and scalar_count instead of following the pointer. The old arrangement was therefore correct by that timing rather than by ownership, and holding the list removes the dependency. GraphOwnedArgs and the pool's deep copy go with it -- the pool forwards a reference to the entry's own list, which graph_commit keeps alive until every recording has finished. The submitting thread makes one deep copy instead of two, and a boundary is written once in graph_begin and only read after that, by either thread. GraphScopeResult carries the list out, because the entry type is private to orchestrator.cpp; the body reads it even on the synchronous fallback path, since reading the caller's arguments there would classify every parameter as static. Arg's surface closes down to its API. Its storage base is private, because a public one is reachable by an implicit derived-to-base conversion through which the members are public again however the derived class hides their names; a static_assert holds that shut. has_error and error_msg become accessors, the slot arrays are protected so a Graph can build a parameter list, and Arg is a class whose functions and data sit in separate runs. Removed along the way: the non-const Arg::scalar(), which had no legal caller -- a body that wrote through it marked the whole recording unsupported, and the only in-repo user was the test written for that rejection -- along with scalar_sources_invalidated_, invalidated_scalar_source() and the INVALIDATED_BOUNDARY source kind; copy_scalars_from, since add_scalar(args.scalar(i)) covers it and an InheritableScalar crosses two Arg capacities without either naming the other; and add_scalars_i32, since add_scalars is a template now. pack_scalars is one memcpy: a slot is a value, so there is nothing to resolve and no discriminator to scan. graph_prepare's boundary-consistency assertion goes as well. Both callers now forward the entry's own parameter list, so it compared an object with itself and held whatever the boundary had become. The check it stood for still runs where a caller's arguments do arrive against an existing entry -- a same-key submission, compared in graph_begin_inner on a path release builds keep. Three orchestration entry points therefore change shape or disappear: copy_scalars_from and add_scalars_i32 are gone, and add_scalars becomes a template whose default declaration flips from static to dynamic. None of the three has a call site in pypto (a18c4cf9), pypto-lib (56c01e1), or this repo, so no caller moves with them. That flip is toward the unsafe side of the two declarations, which is worth naming even though nothing observes it yet. A forward-only scalar wrongly declared static only makes matching stricter; a scalar the body freezes while declared dynamic would match on a Definition holding a stale number. Both are inert today because graph_full_key is callable_hash and graph_key, so no lookup compares a scalar value at all -- hw-native-sys#2170 tracks migrating the callers before one does. _run_subprocess grows an opt-in way to surface a successful compile's stderr: warnings.warn, which pytest reports with no flag given, where the DEBUG log line it had displays nothing -- pytest hides logger output below ERROR unless --log-cli-level is passed, and the resource scheduler's child processes do not inherit that option. No call site turns it on. The orchestration sources still hold the value reads hw-native-sys#2170 migrates, so surfacing them would repeat that known inventory on every scene test and bury the reads written after it; the kernel toolchains carry pre-existing warnings of their own for the same reason. Emitting a warning can raise, under an error-level filter, from a compile that already produced its output, so _compile_to_bytes deletes that output from a finally rather than from the success path. GRAPH_EXECUTION.md drops the paragraphs describing the removed invalidation rule, and its examples name GraphTaskArgs for the boundary and CoreTaskArgs for the in-graph tasks -- no rt_submit_graph overload accepts the former as the latter, so neither example compiled as written. Its add_static_scalar paragraph had described an entry point no code defined; that entry point exists now, so the paragraph says what it does and how it differs from to<T>(), which reads a value rather than forwarding one with its origin dropped. The GCC blind spot above is recorded there as well, since the doc otherwise reads as though the warning were a complete census.
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感谢详尽的评审。①②④⑥⑩ 已修，③⑦⑧⑨ 说明如下。 ① 边界一致性断言已成空断言 —— 已修确认。两条路径传进来的 没有采纳「挪到 而它想覆盖的「调用方 args ↔ entry 副本」这次交接，2578 已有 release 也生效的真实检查，所以删掉不丢任何保护。断言与注释一并删除，形参改为不具名，函数上方补一句说明这个参数就是 entry 自己的参数表。 ② OUTPUT 防御分支 —— 已修，改成编译期拒绝定性对（失败模式从无害变静默错），修法选了更上游的一处：
核过不误伤现存代码：全仓可写 ③ 转发丢 dtype —— 不改，这不是本次引入的机制描述准确，但结论要收窄一档。旧 真正变化的只有 ④ 诊断上报灌 CI —— 已修，按你的方案拆分采纳。orchestration 调用点的 你的定性是对的：迁移前打开，warnings summary 里常驻的旧警告会掩埋后续真正新增的冻结点，与本 PR「让新增的冻结变得可见」的意图正好相反。 ⑥ 失效引用三条 —— 全部已修
⑦ 对齐拷贝 —— 不改
⑧ CI 红灯 —— 已 triage，与本 PR 无关根因（你拉不到日志，补上）：远端 machine 126 的 dev 14/15 在 4 个用例全是 ⑨ 结构规模 —— 不拆§5.1.1 折叠进本 commit 是 deliberate call，理由已记入方案文档：P2 已经在重写 ⑩ wire 第 4 字节 —— 已修，用消除而非看护采纳，但没有加 改成 验证
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2 participants
What
Makes a Graph boundary scalar a formal parameter of the recorded body, and
closes
Arg's surface down to its API.A body that read a boundary scalar and one that read a constant were the same
thing in the type system: both a
uint64_tin the same slot array. Recordingrecovered the difference by comparing the host address the caller happened to
pass against the boundary's slot range, so a body that loaded a parameter into a
local and forwarded the local recorded a constant instead — silently, and every
later replay of that Definition reused the stale value.
How
A scalar now carries two things in parallel arrays: its value, and the slot that
value came from. Null origin means static.
args.scalar(i)answers parameteriitself. Forwarding it —task_args.add_scalar(args.scalar(i))— makes the destination slot follow thatparameter on every replay.
parameter is a compiler diagnostic instead of a silent change of behaviour.
args.scalar(i).to<T>()is the deliberate read. It appliesto_u64's actualinverse, which
static_castis not, and is the only spelling that reaches anenum.
Two properties the scheme rests on:
add_scalartime, where the argument's type isstill known, so a parameter of any width can be dynamic. Packing both halves
into one eight-byte union could not do this — following a parameter would then
mean reading through the origin in
pack_scalars, where the type is gone.scalar(i)folds to&scalars_[i]whether a parameter is dynamic or static, so a task slotfollowing parameter
ireports that array'si-th slot and recording turns itinto the index
i. A parameter naming the caller's variable would hand out anaddress outside the array, and the task slot would silently stop being
refreshed.
The origin is only ever compared against null and subtracted from a slot array
base, never dereferenced, so it may dangle once the caller's local goes out of
scope.
Ownership
GraphBoundaryholds the parameter list rather than a pointer to one. Thatpointer named a slot in the recorder pool, which is reused, so it went stale the
moment a job finished and nothing cleared it. Nothing read it stale — classify,
layout and fill all run inside the job, and a later same-key submission compares
tensors, types and
scalar_countinstead of following the pointer — so the oldarrangement was correct by that timing rather than by ownership.
GraphOwnedArgsand the pool's deep copy go with it: the pool forwards a reference to the entry's
own list, which
graph_commitkeeps alive until every recording has finished.Removed
The non-const
Arg::scalar()and its invalidation machinery(
scalar_sources_invalidated_,invalidated_scalar_source(),INVALIDATED_BOUNDARY);copy_scalars_from, sinceadd_scalar(args.scalar(i))covers it;
add_scalars_i32, sinceadd_scalarsis a template now.copy_scalars_from,add_scalars_i32, and the oldadd_scalarssignature haveno call site in pypto (
a18c4cf9), pypto-lib (56c01e1), or this repo, so nocaller moves with them.
Follow-up
add_static_scalaris a new entry point with no caller yet:graph_full_keyiscallable_hashandgraph_key, so no lookup compares a scalar value at all.#2170 tracks migrating callers (98 sites here, 2 generator templates in
pypto) off the deprecated conversion, which must land before scalar values enter
the cache-reuse condition — a parameter a body freezes while declared dynamic
would otherwise match on a Definition holding a stale number.
One limit on the diagnostic, recorded in
GRAPH_EXECUTION.md: GCC suppresses adeprecation instantiated inside a system header, so a value read whose conversion
happens in third-party template code stays silent (
EXPECT_EQis the case foundhere). The warning is an inventory of the value reads written in this repo, not a
proof that none exists.
Verified
cpput140/140 (ctest -LE requires_hardware), no new compiler warningswhose changes were comments, docs, and how the unit-test fake holds its
parameter list; no product code moved since
test_hbg_graph_cache.cpppinning the self-referenceinvariant, the dangling-origin property, lvalue-declares-dynamic, and
freeze-drops-origin