【PR】: 简要描述 refactor es docs-ge-AtomGit

已合并

【PR】: 简要描述 refactor es docs #25

GengChao创建于 2025年12月29日从kobemini/ge_1226_open_source： es_doc_001 合入到 cann/ge： master

【PR】: 简要描述 refactor es docs #25

已合并

GengChao创建于 2025年12月29日

从kobemini/ge_1226_open_source es_doc_001合入到cann/ge master

共 19 个文件变更+2241-73

Adocs/es/README.md+72-0文件内容审核中，请稍后刷新重试

Rdocs/es/eager_style_graph_builder.md→docs/es/api/es_cpp.md+14-24

	@@ -93,10 +93,10 @@ graph TB
93	功能: 张量持有者类，封装了张量的各种操作	93	功能: 张量持有者类，封装了张量的各种操作
94		94
95	主要方法:	95	主要方法:
96	-- 算术运算: `operator+`, `operator-`, `operator*`, `operator/`	96	+- 算术运算：`operator+`, `operator-`, `operator*`, `operator/`
97	-- 属性设置: `SetDataType()`, `SetFormat()`, `SetShape()`	97	+- 属性设置：`SetDataType()`, `SetFormat()`, `SetShape()`
98	-- 属性管理: `SetAttr()`, `SetAttrForNode()`	98	+- 属性管理：`SetAttr()`, `SetAttrForNode()`
99	-- 访问器: `GetCTensorHolder()`, `GetProducer()`	99	+- 访问器：`GetCTensorHolder()`, `GetProducer()`
100		100
101	关系:	101	关系:
102		102
	@@ -108,7 +108,7 @@ graph TB
108		108
109	文件位置: `cpp/es_tensor_like.h`	109	文件位置: `cpp/es_tensor_like.h`
110		110
111	-功能: 类Tensor类型定义，用于将EsTensorHolder、标量和向量转为EsTensorHolder对象	111	+功能：类 Tensor 类型定义，用于将 EsTensorHolder、标量和向量转为 EsTensorHolder 对象
112		112
113	主要方法:	113	主要方法:
114	- `ToTensorHolder()` - 转为EsTensorHolder对象	114	- `ToTensorHolder()` - 转为EsTensorHolder对象
	@@ -140,28 +140,18 @@ graph TB
140		140
141	文件位置: `c/esb_funcs.h`	141	文件位置: `c/esb_funcs.h`
142		142
143	-功能: 提供底层的C语言接口	143	+功能：提供底层的 C 语言接口
144		144
145	主要函数类别:	145	主要函数类别:
146	-- 图构建器管理: `EsCreateGraphBuilder()`, `EsDestroyGraphBuilder()`	146	+- 图构建器管理：`EsCreateGraphBuilder()`, `EsDestroyGraphBuilder()`
147	-- 输入创建: `EsCreateGraphInput()`, `EsCreateGraphInputWithDetails()`	147	+- 输入创建：`EsCreateGraphInput()`, `EsCreateGraphInputWithDetails()`
148	-- 常量创建: `EsCreateScalar()`, `EsCreateVector()`, `EsCreateConst*()`	148	+- 常量创建：`EsCreateScalar()`, `EsCreateVector()`, `EsCreateConst*()`
149	-- 属性设置: `EsSetAttrForGraph()`, `EsSetAttrForTensor()`, `EsSet*AttrForNode()`	149	+- 属性设置：`EsSetAttrForGraph()`, `EsSetAttrForTensor()`, `EsSet*AttrForNode()`
150	- 输出设置：`EsSetGraphOutput()`	150	- 输出设置：`EsSetGraphOutput()`
151	-- 图构建: `EsBuildGraphAndReset()`,	151	+- 图构建：`EsBuildGraphAndReset()`
152		152
153	### 使用示例	153	### 使用示例
154	-```c++	154	+参考[sample](../../../examples/es)
155	-namespace ge {
156	-namespace es {
157	-std::unique_ptr<ge::Graph> MakeReluAddGraphByEs() {
158	- auto graph_builder = std::make_unique<EsGraphBuilder>("MakeReluAddGraph");
159	- auto input = graph_builder->CreateInput(0, "input", ge::DT_FLOAT, ge::FORMAT_ND, {2, 3});
160	- auto relu2 = Relu(Relu(input));
161	- (void) graph_builder->SetOutput(Add(input, relu2), 0);
162	- auto graph = graph_builder->BuildAndReset();
163	- return graph;
164	-}
165	-}
166	-}
167	```	155	```
		156	+
		157	+

Rdocs/es/ge_py.md→docs/es/api/ge_python.md+15-11文件内容审核中，请稍后刷新重试

Adocs/es/design/architecture_design.md+1992-0

@@ -0,0 +1,1992 @@
	1	+# ES (Eager Style) 构图
	2	+
	3	+## 需求概述
	4	+
	5	+现阶段构图接口示例：
	6	+
	7	+```C++
	8	+std::unique_ptr<ge::Graph> BuildAddGraph() {
	9	+ auto graph = std::make_unique<ge::Graph>("graph");
	10	+ auto data0 = op::Data("data0").set_attr_index(0);
	11	+ auto data1 = op::Data("data1").set_attr_index(1);
	12	+ auto add = op::Add("add").set_input_x1(data0).set_input_x2(data1);
	13	+ graph->SetInputs({data0, data1}).SetOutputs({add});
	14	+ return graph;
	15	+}
	16	+```
	17	+
	18	+现阶段构图接口优点：
	19	+
	20	+1. 点、边分离的构图方法，构图方式灵活、功能强大
	21	+
	22	+现阶段构图接口痛点：
	23	+
	24	+1. 使用繁琐，基于原型将 IR 实例化，然后对应原型的定义设置输入输出、属性等
	25	+2. 犯错不易察觉，需要真正开始编译图的时候可能才能发现构图的错误
	26	+3. C++接口，无ABI兼容性保证
	27	+4. 无前后向兼容设计
	28	+
	29	+构图接口业界现状：
	30	+
	31	+1. 大部分的构图风格采用函数式（函数式构图通过函数调用直接表达节点间的连接关系）
	32	+2. 函数式相对点边分离的优点：简单、C++编译时报错
	33	+3. 函数式相对点边分离的缺点：不灵活，必须按照拓扑序顺序构图；功能较弱，没有节点概念，构图、改图接口无法归一
	34	+
	35	+关于两种风格的结论：
	36	+
	37	+1. 纯构图场景适合函数式，简单、鲁棒性好
	38	+2. 综合场景（构图、改图、遍历图）使用点边分离方式
	39	+
	40	+ES 目标：
	41	+
	42	+1. 面向构图场景，采用函数式风格，提供易用接口
	43	+2. 由IR定义直接生成，避免手写，减少工作量
	44	+3. 支持多语言，支持Python、C++、C三种语言
	45	+4. API、ABI兼容
	46	+5. 向后、向前兼容
	47	+
	48	+## 整体设计
	49	+
	50	+ES (Eager Style) 是一套函数风格的构图 API。其语法设计借鉴了 PyTorch Eager 模式的脚本风格，因此得名。其核心理念是通过函数调用直接表达节点间的连边关系和 IR 信息传递。
	51	+
	52	+构图整体数据流程如下所示：
	53	+
	54	+![](figures/data_flow.svg)
	55	+
	56	+构造可用的 `GE` 图整体分为两个阶段：
	57	+
	58	+1. 构图阶段：根据用户 `APP` 所依赖的 `OPP` 版本完成图构建，得到初始图，称为“用户直构图”。
	59	+2. `IR` 语义兼容性处理阶段：当运行环境中的 `OPP` 版本与构图时所用版本不一致时，进入该阶段。系统会基于构图时 `IR`
	60	+ 版本，对"用户直构图"的语义进行解析，并尝试调整为符合运行环境能力的"兼容图"。若由于语义缺失或超出当前环境支持范围等原因，导致无法完成兼容转换，则返回错误并终止执行。
	61	+
	62	+逻辑上，基于 `Operator` 系列构图 `API`，向上封装的构图 `lib`：
	63	+
	64	+<img src="figures/logical.svg" style="zoom:80%;" />
	65	+
	66	+`es` 以 `C` 语言实现为核心，向上封装为 `C++` 和 `Python` 接口。其中，共用能力（如兼容性保障与公共函数）集中在 `C Builder` 层实现，而 `C++` 和 `Python`
	67	+层则根据各自语言特性进行语法封装。
	68	+
	69	+整套构图接口采用函数式风格，覆盖当前所有的 `GEIR` 定义（不包括 `AscendCIR`）。严格来说，`GEIR` 并非一个独立概念，但由于 `AscendIR` 的部分内容（如 `AscendCIR`
	70	+）超出了本设计范围，后文中“GEIR”一词特指排除 `AscendCIR` 后的 `AscendIR` 子集。
	71	+
	72	+为降低维护成本，接口采用自动生成机制：基于 `GEIR` 定义、辅以少量人工标注，结合统一的构图 API 规范，自动生成完整的 `es` 函数式构图接口，并打包到 `opp` 算子包对外发布。
	73	+
	74	+![](figures/esb_publish.svg)
	75	+
	76	+
	77	+## `API/ABI`兼容性设计
	78	+
	79	+向前、向后兼容是 `CANN` 对外 `API` 的基本规格，`esb` 定位为构图系列 `API`，兼容性设计尤为重要，因此将兼容性设计作为首要考虑因素。
	80	+
	81	+### 前后向兼容性场景分析
	82	+
	83	+根据`CANN`兼容性要求，一个运行环境上，最多会出现四个`CANN`版本：
	84	+
	85	+1. `GE`包版本：包含`GE`业务（图编译、图执行）、基础数据结构(`metadef`)两部分，`3, 4, 6`包
	86	+2. `opp`包版本：包含算子包，`8`包
	87	+3. 用户`APP`构建时，使用的`GE`包版本：用户`APP` 构建时，构建环境上安装的`GE`包。`APP`中使用的基础数据结构与该包相同。
	88	+4. 用户`APP`构建时，使用的`opp`包版本：用户`APP` 构建时，构建环境上安装的`OPP`包。`APP`中使用的算子定义与该包相同。
	89	+
	90	+`GE`包接口为通用的构图接口(`Operator`系列接口)，该接口不关注具体的算子定义，成熟、稳定性高，认为已满足兼容性要求，兼容性的关键在`opp`包。
	91	+
	92	+从兼容性要求可知，算子构图接口需要满足一定周期内`API`、`ABI`向前、向后兼容。详细来说，应该满足如下要求：
	93	+
	94	+1. 升级`opp`包后：不做`APP`重新编译，`APP`可正确构图；做`APP`重编译，无需修改代码，可重编译通过，且可正确构图。
	95	+2. 降级`opp`包后，`APP`未使用降级后不存在的能力：与升级`opp`包行为相同。
	96	+3. 降级`opp`包后，`APP`使用了降级后不存在的能力：构图失败，报错。
	97	+
	98	+继续展开分析，兼容性满足如下要求：
	99	+
	100	+1. `API`兼容：升级、降级`CANN`版本后，只要不使用新能力，`APP`可以编译通过
	101	+2. `ABI`兼容：升级、降级`CANN`版本后，只要不使用新能力，`APP`在不做重新编译，可正常调用接口完成构图
	102	+3. `IR`语义兼容：升级、降级`CANN`版本后，只要不使用新能力，`APP`构造的图语义正确，可被`GE`理解和正常工作
	103	+
	104	+### `C`语言`API/ABI`兼容性
	105	+
	106	+`C` 语言无法直接表达 IR 中的可选输入与可选属性。例如，以下 `IR` 定义包含一个可选输入 `xo` 和一个默认值为 `0` 的可选属性 `a`：
	107	+
	108	+```C
	109	+// IR 定义
	110	+REG_OP(Foo)
	111	+ .INPUT(x)
	112	+ .OPTIONAL_INPUT(xo) // 可选输入 xo
	113	+ .ATTR(a, Int, 0) // 可选属性 a，默认为 0
	114	+```
	115	+
	116	+对应的 `C API` 只能以固定参数列表表示，无法反映参数的可选性：
	117	+
	118	+```C
	119	+// C API
	120	+Tensor Foo(Tensor x, Tensor *xo, int64_t a);
	121	+```
	122	+
	123	+当 IR 定义发生兼容性扩展（例如新增一个可选属性 `b`）时，`C API` 也必须增加相应参数：
	124	+
	125	+```C
	126	+// 新 IR 定义：新增可选属性 b
	127	+Tensor Foo(Tensor x, Tensor *xo, int64_t a, int64_t b);
	128	+```
	129	+
	130	+虽然语义上是向后兼容的变更，但由于 `C` 函数签名发生变化，导致`API`不兼容，这是由语言能力限制带来的无法兼容的约束。
	131	+
	132	+为在使用 `C` 接口时提供稳定可靠的兼容性保障，`esb` 采用静态链接方式将 `libesb.a` 内联至目标应用中，确保接口在编译期冻结，与外部运行环境解耦。
	133	+
	134	+<img src="figures/app_linkage.svg" style="zoom:80%;" />
	135	+
	136	+如上图所示，`app`将`esb`模块作为静态库链接到`app`二进制中，以隔离`CANN`版本升降级的影响。`libesb.a`中，调用`Operator`系列公开接口，因此在`libesb`与`CANN lib`
	137	+之间可保证兼容性。在`CANN`版本发生变化时，运行环境`app`使用的`libesb`始终不变：
	138	+
	139	+<img src="figures/app_run_version.svg" style="zoom:80%;" />
	140	+
	141	+如上图所示，`app` 在编译时依赖 `CANN` 的 `v2` 版本，并通过静态链接方式将 `libesb.a` 内联到最终生成的可执行文件中。运行时，即使系统环境中的 `CANN` 版本与编译时不一致，`app`
	142	+所使用的 `libesb.a` 仍保持不变，兼容性由 `libesb` 依赖的稳定的 `Operator` 系列接口来保障。
	143	+
	144	+若用户在 `CANN` 升级或降级后重新编译程序，则构图接口可能随 `CANN` 的 API 变动而发生不兼容。为避免此类问题，建议用户在首次集成时将 `libesb.a` 及其对应头文件拷贝至自身工程的 `third_party`
	145	+目录，并始终以该副本为基准进行构建，直到明确决定切换到其他版本的 `CANN` 为止。
	146	+
	147	+注： libesb.a 并非真实环境上的静态库名称，用于统称es base 和 es generated 的库
	148	+
	149	+### `C++`语言`API/ABI`兼容性
	150	+
	151	+相较于 `C` 语言，`C++` 提供更强大的语法能力，如函数重载与默认参数，使其在应对 `IR` 接口兼容性演进时更加灵活。然而，由于 `C++` 缺乏统一的 ABI 标准，不同编译器及其版本间的实现可能存在差异，导致跨版本或跨平台的
	152	+ABI 不兼容问题。
	153	+
	154	+为兼顾语法灵活性与二进制兼容性，`esb` 的 `C++` 构图接口设计为纯头文件库，所有实现通过强制内联方式调用底层稳定的 `C` 接口。编译时享受 `C++` 的语法便利，链接时依赖稳定的 `C` 层实现，从而确保整体 `ABI`
	155	+的一致性与可移植性。通过该设计，`C++`构图时，`ABI`、`IR`语义的兼容性问题被转换到`C`的对应问题上。相对`C`语言来说，`C++`不存在`API`不兼容的问题，因此`C`章节中提到的，`libesb.a`
	156	+的拷贝动作，在`C++`中是不需要的。
	157	+
	158	+`C++`通过默认参数表达可选属性，通过重载适配可选输入。例如，以下 `IR` 定义包含一个可选输入 `xo` 和一个默认值为 `0` 的可选属性 `a`：
	159	+
	160	+```C++
	161	+// IR 定义
	162	+REG_OP(Foo)
	163	+ .INPUT(x)
	164	+ .OPTIONAL_INPUT(xo1) // 可选输入 xo1
	165	+ .ATTR(a, Int, 0) // 可选属性 a，默认为 0
	166	+ .OUTPUT(y)
	167	+```
	168	+
	169	+对应的`C++ API`为：
	170	+
	171	+```C++
	172	+namespace es {
	173	+FORCE_INLINE Tensor Foo(const Tensor x, const Tensor *xo1, int64_t a=0);
	174	+}
	175	+```
	176	+
	177	+新增一个可选输入`xo2`和一个可选属性`b`：
	178	+
	179	+```C++
	180	+namespace es {
	181	+// v1 版本
	182	+FORCE_INLINE Tensor Foo(const Tensor x, const Tensor *xo1,
	183	+ int64_t a=0, int64_t b=0);
	184	+
	185	+// v2 版本，由于新增可选输入，带来的重载版本，重载版本多了一个`xo2`的输入
	186	+FORCE_INLINE Tensor Foo(const Tensor x, const Tensor xo1, const Tensor xo2,
	187	+ int64_t a=0, int64_t b=0);
	188	+}
	189	+```
	190	+
	191	+需要强调的是，重载的目的并非简化调用，而是为了兼容性保障。例如，在 `V3` 版本中若同时新增多个可选输入（如 `o3` 和 `o4`），也只会引入一个新的重载版本，而不会为每个新增输入分别添加独立重载。
	192	+
	193	+#### 特殊场景讨论：误用重载接口导致兼容性丧失
	194	+
	195	+每一个 `C++` 重载版本的 API 都绑定于某一具体版本的 `IR` 定义。当用户使用不恰当的重载形式，即便实际功能未使用，也可能因签名变化而破坏向前兼容性。
	196	+
	197	+以上述 `Foo` 接口为例，假设在 `V2` 版本中引入了可选输入 `xo2`，用户虽然并不使用该输入，但仍编写了如下调用：
	198	+
	199	+```C++
	200	+auto foo = Foo(x, nullptr, nullptr /* xo2 */);
	201	+```
	202	+
	203	+此时若运行环境回退至 `V1` 版本并尝试重新编译，尽管 `xo2` 实际为 `nullptr`，也会因重载签名不再存在而引发编译错误，导致向前兼容性失效。
	204	+
	205	+为尽可能避免这类误用，在重载设计中引入防呆机制，通过 `std::nullptr_t` 参数配合 `[[deprecated]]` 标记，在典型错误调用时提供编译期提示：
	206	+
	207	+```C++
	208	+namespace es {
	209	+[[deprecated("Passing nullptr as xo2 may break forward compatibility. "
	210	+ "Use this version instead: "
	211	+ "Foo(const Tensor x, const Tensor xo1, int64_t a=0, int64_t b=0). "
	212	+ "See http://xxxx for more info.")]]
	213	+FORCE_INLINE Tensor* Foo(const Tensor* x, const Tensor* xo1, std::nullptr_t xo2,
	214	+int64_t a = 0, int64_t b = 0);
	215	+}
	216	+```
	217	+
	218	+该机制可有效捕捉直接传入 `nullptr` 的情况，但对于以下形式仍无法触发告警：
	219	+
	220	+```c++
	221	+Tensor* xo2 = nullptr;
	222	+auto foo = Foo(x, nullptr, xo2); // 无法检测
	223	+```
	224	+
	225	+因此，尽管在 API 设计中已尽力防范误用，仍建议在开发文档与使用说明中明确提示用户：避免使用超出目标部署环境的重载接口，尤其是在未启用对应 IR 能力时。
	226	+注：上述伪代码中类型命名等可能有变化，以真实代码为准
	227	+
	228	+### `Python`语言`API`兼容性
	229	+
	230	+`Python` 作为动态语言，不涉及编译期符号链接，因此无需考虑 `ABI` 兼容性问题。相较于 `C++`，虽然 `Python` 不支持函数重载，但其对关键字参数（`keyword arguments`
	231	+）的良好支持，使其非常适合表达可选属性与可选输入。
	232	+
	233	+本设计延续了 `torchair` 中的接口风格：使用位置参数表示输入，关键字参数表示属性。该方式既能清晰区分输入与属性，又便于扩展与兼容。
	234	+
	235	+以下 `IR` 示例定义了一个必选输入、一个可选输入，一个必选属性和一个可选属性：
	236	+
	237	+```C++
	238	+// IR 定义
	239	+REG_OP(Foo)
	240	+ .INPUT(xr)
	241	+ .OPTIONAL_INPUT(xo) // 可选输入 xo
	242	+ .REQUIRED_ATTR(a, Int) // 必选属性，无默认值
	243	+ .ATTR(b, Int, 0) // 可选属性，默认值为 0
	244	+```
	245	+
	246	+它的`Python API`：
	247	+
	248	+```Python
	249	+def Foo(xr: Tensor, xo: Optional[Tensor] = None, *, a: int, b: int = 0):
	250	+ """
	251	+- `xr` 为必选输入
	252	+- `xo` 通过可选位置参数表达可选输入
	253	+- `a` 为必选属性，必须以关键字形式传入
	254	+- `b` 为可选属性，使用关键字参数并指定默认值
	255	+"""
	256	+```
	257	+
	258	+在下一个版本，新增可选输入`xo1`，可选属性`c`，则`API`变为：
	259	+
	260	+```Python
	261	+def Foo(xr: Tensor, xo: Optional[Tensor] = None, xo1: Optional[Tensor] = None,
	262	+ *, a: int, b: int = 0, c: int = 0):
	263	+```
	264	+注：上述伪代码中类型命名等可能有变化，以真实代码为准
	265	+
	266	+## `IR`语义兼容设计
	267	+
	268	+当用户基于版本 `A` 的 `IR` 定义完成构图后，若在版本 `B` 的环境中编译，且 `A` 与 `B` 所使用的算子定义存在差异，`GE` 将尝试还原并理解构图意图，并对图进行适配，以符合版本 `B` 的 `IR`
	269	+规范。该过程即为 `IR` 语义兼容性处理流程。
	270	+
	271	+`IR` 语义兼容仅适用于使用 `C/C++` 构图并采用静态链接的场景。在该模式下，构图`lib`(`libesb`)会在编译期固化到 `APP` 的二进制中，因此运行时可能出现构图版本与运行环境不一致的情况，需通过 `GE`
	272	+的语义兼容机制进行适配。
	273	+
	274	+而在使用 `Python API` 构图的场景中，由于不存在链接过程，构图操作始终在运行时动态发起，构图行为直接依赖运行环境中的 `IR` 定义。因此，构图版本与运行版本天然保持一致，不存在语义兼容处理过程。
	275	+
	276	+运行时，三种构图方式的调用关系如下图所示：
	277	+
	278	+![](figures/api_diff_c_and_python.svg)
	279	+
	280	+### `IR`语义兼容性处理
	281	+
	282	+当前支持的`IR`兼容性变更包括：
	283	+
	284	+- 新增可选输入：在不影响现有输入顺序的前提下，向结尾添加新的可选输入
	285	+- 新增支持的数据类型：为现有输入或输出添加更多支持的数据类型
	286	+- 新增可选属性：引入具备默认值的新属性
	287	+
	288	+除上述情况外，其他任何 `IR` 定义的变更均属于不兼容变更。若确有需求，需通过新增独立的 `IR` 算子来实现。
	289	+
	290	+在语义兼容性处理过程中，`GE` 会基于直构图版本的 `IR` 信息，对图中各算子的语义进行解析与还原。若能成功映射至兼容图版本 `IR`
	291	+所支持的语义与能力，即视为构图兼容；否则（例如遇到不支持的输入/属性组合、语义歧义或行为差异），兼容性处理失败，流程终止并返回错误。
	292	+
	293	+`IR` 中新增支持的数据类型，已由推导与能力检查（`dtype` inference 与 `check support`）机制明确处理，不纳入语义兼容流程。
	294	+
	295	+语义兼容处理主要处理两类变更：可选属性、可选输入
	296	+
	297	+下表展示了在 `直构图 IR` 与 `兼容图 IR` 不一致时，针对节点属性和输入的处理逻辑：
	298	+
	299	+\| 【输入】直构图 IR \| 【输入】兼容图 IR \| 【输入】直构图节点 \| 【输出】兼容图节点 \|
	300	+\| ---------- \| ---------- \| --------- \| -------------------------- \|
	301	+\| 存在可选属性 \| 不存在可选属性 \| 存在该属性 \| ❌ 向前兼容场景：使用了新增属性，报错退出 \|
	302	+\| 存在可选属性 \| 不存在可选属性 \| 不存在该属性 \| ✅ 向前兼容场景：未使用新增属性，删除该属性 \|
	303	+\| 不存在可选属性 \| 存在可选属性 \| 存在该属性 \| ❌ 错误场景：报错退出 \|
	304	+\| 不存在可选属性 \| 存在可选属性 \| 不存在该属性 \| ✅ 向后兼容场景：未使用新增属性，使用默认值 \|
	305	+\| 存在可选输入 \| 不存在可选输入 \| 可选输入已连边 \| ❌ 向前兼容场景：使用了新增输入，报错退出 \|
	306	+\| 存在可选输入 \| 不存在可选输入 \| 可选输入未连边 \| ✅ 向前兼容场景：未使用新增输入，删除该输入 \|
	307	+\| 不存在可选输入 \| 存在可选输入 \| 可选输入已连边 \| ❌ 错误场景：报错退出 \|
	308	+\| 不存在可选输入 \| 存在可选输入 \| 可选输入未连边 \| ✅ 向后兼容场景：未使用新增输入，忽略处理 \|
	309	+
	310	+关于兼容性方向的判定说明
	311	+
	312	+从上述处理规则可以看出，语义兼容判断仅依赖于两版本 `IR` 定义间的结构差异即可完成，无需感知具体版本号，也无需显式区分“向前”或“向后”兼容。
	313	+
	314	+但出于健壮性考虑，仍应在以下场景中做兼容性一致性校验：若 `直构图 IR` 相比 `兼容图 IR` 同时存在新增属性或输入，又缺失部分属性或输入，则说明 `IR`
	315	+发生过不兼容修改，构图版本已不可直接适配，语义兼容应终止并返回错误。
	316	+
	317	+## `API`风格设计
	318	+
	319	+整个构图过程分为以下四个步骤：
	320	+
	321	+1. 创建图构建器（`EsGraphBuilder`）
	322	+ 初始化图构建器实例，用于提供构图所需的上下文、工作空间及构建相关方法。
	323	+2. 添加起始节点
	324	+ 起始节点指无输入依赖的节点，通常包括图的输入（如 `Data` 节点）和权重常量（如 `Const` 节点）。
	325	+3. 添加中间节点
	326	+ 中间节点为具有输入依赖的计算节点，通常由用户构图逻辑生成，并通过已有节点作为输入连接。
	327	+4. 设置图输出
	328	+ 明确图的输出节点，作为计算结果的终点。
	329	+
	330	+在构图过程中，涉及两个主要对象：
	331	+
	332	+- `Graph`：表示最终构建完成的静态计算图，是构图的目标产物；
	333	+- `EsGraphBuilder`：构图辅助类，提供节点添加、连接、属性设置等方法，并记录构图过程的中间状态。
	334	+
	335	+`EsGraphBuilder` 仅在构图阶段存在，用于承载中间构建信息，是`APP`构图时直接操作的对象。在构图完成后，其内部状态被封装为 `Graph` 实例返回，`EsGraphBuilder`本身及其相关资源被释放。
	336	+
	337	+### `IR` 与 `API` 的映射关系
	338	+
	339	+在三种语言中，`IR`与`API`的映射逻辑相同。每个 `IR` 映射为一个函数，函数名与算子类型相同。函数参数依次对应算子的输入和属性，返回值对应输出，顺序与 `IR` 定义保持一致。
	340	+
	341	+例如，算子 `Foo` 定义如下：
	342	+
	343	+```C
	344	+REG_OP(Foo)
	345	+ .INPUT(x1)
	346	+ .INPUT(x2)
	347	+ .OUTPUT(y1)
	348	+ .ATTR(a1, Int, 10)
	349	+ .ATTR(a2, Int, 20);
	350	+```
	351	+
	352	+其对应的函数原型为：
	353	+
	354	+- 函数名：`Foo`（C++ / Python）或 `EsFoo`（C）
	355	+- 参数：共 4 个，依次为 `x1`, `x2`, `a1`, `a2`
	356	+- 返回值：输出 `y1`
	357	+
	358	+语言间的命名规则如下：
	359	+
	360	+- C++：使用命名空间 `es`，避免污染全局符号；
	361	+- Python：通过包名隔离；
	362	+- C：由于缺乏命名空间机制，统一为函数名前添加前缀 `Es`。
	363	+
	364	+### 头文件/模块拆分策略
	365	+
	366	+每个 `IR` 定义对应一个独立的头文件（`C` 和 `C++`）及一个对应的 `Python` 模块（`.py` 文件）。将生成文件按算子粒度拆分，带来以下优势：
	367	+
	368	+1. 按需引入，减少编译负担
	369	+ 使用者可仅包含所依赖算子的头文件，避免不必要的编译依赖，提升构建效率。
	370	+2. 支持灵活组合
	371	+ 拆分后的头文件可按需组合，例如基于用途生成 `all_ops.h`（全部算子）、`math_ops.h`（数学计算相关算子）等多种场景化算子接口集合。
	372	+3. 提升稳定性与可维护性
	373	+ 当 `IR` 发生变更时，仅对应算子的头文件或模块需要更新，其他文件可保持不变，便于版本控制和增量构建。
	374	+
	375	+为提升多语言使用体验，`es` 提供以下聚合接口：
	376	+
	377	+- `es_all_ops.h`：包含所有 `C++` 封装的算子 API；
	378	+- `es_all_ops_c.h`：包含所有 `C` 封装的算子 API；
	379	+- `es_all` Python 包：自动聚合所有生成的 `.py` 模块，提供统一的导入路径和使用接口。
	380	+
	381	+
	382	+### `C API` 风格设计
	383	+
	384	+以下示例展示了使用 `C` 接口构造一个“两个输入求和”的计算图：
	385	+
	386	+```C
	387	+// 1. 创建图构建器（EsCGraphBuilder）
	388	+EsCGraphBuilder *builder = EsCreateGraphBuilder("graph_name");
	389	+
	390	+// 2. 添加起始节点
	391	+EsCTensorHolder *data0 = EsCreateInput(builder, 0); // 添加第 0 个输入节点
	392	+EsCTensorHolder *data1 = EsCreateInput(builder, 1); // 添加第 1 个输入节点
	393	+
	394	+// 3. 添加中间节点
	395	+EsCTensorHolder *add = EsAdd(data0, data1); // 添加加法计算节点（不再需要显式传入 builder）
	396	+
	397	+// 4. 设置图输出
	398	+EsSetOutput(add, 0); // 将 `add` 节点设置为图的第 0 个输出
	399	+
	400	+// 5. 完成构图，返回最终图对象
	401	+EsCGraph *graph = EsBuildGraphAndReset(builder); // 获取构建完成的图
	402	+
	403	+// 6. 释放 builder 及其管理的过程资源
	404	+EsDestroyGraphBuilder(builder);
	405	+```
	406	+
	407	+> [!Note]
	408	+>
	409	+> 资源管理说明
	410	+>
	411	+> - 构图过程中，所有通过 `es` 接口创建的中间资源（如 `EsCTensorHolder*` 类型的 `data0`、`add` 等）由 `EsCGraphBuilder` 统一管理，其生命周期与 `builder` 一致。在调用 `EsDestroyGraphBuilder()` 后，这些资源将随 `builder` 一并释放。
	412	+> - 用户仅需管理两个对象的生命周期：`EsCGraphBuilder` 和最终生成的 `EsCGraph`。
	413	+
	414	+> [!Note]
	415	+>
	416	+> 类型封装说明
	417	+> 为确保接口兼容性和封装性，`es` 所返回的对象类型（如 `EsCGraphBuilder`、`EsCTensorHolder`）对用户侧保持不透明。它们通过 `extern struct xxx;` 的声明方式暴露，仅提供不完整类型定义，应用侧无法访问其内部结构，只能通过 `es` 提供的接口进行操作。
	418	+
	419	+#### 属性
	420	+
	421	+ES 构图时会将 IR 算子中的属性进行映射，C 接口属性类型映射关系为：
	422	+
	423	+\| 算子属性类型 \| IR属性类型 \| C接口属性类型 \|
	424	+\| --------- \| ------------- \| --------------- \|
	425	+\| Int \| VT_INT \| int64_t \|
	426	+\| Float \| VT_FLOAT \| float \|
	427	+\| String \| VT_STRING \| const char * \|
	428	+\| Bool \| VT_BOOL \| bool \|
	429	+\| DataType \| VT_DATA_TYPE \| C_DataType \|
	430	+\| ListInt \| VT_LIST_INT \| const int64_t * \|
	431	+\| ListFloat \| VT_LIST_FLOAT \| const float * \|
	432	+\| ListBool \| VT_LIST_BOOL \| const bool * \|
	433	+\| ListType \| VT_LIST_DATA_TYPE \| const C_DataType * \|
	434	+\| ListListInt \| VT_LIST_LIST_INT \| const int64_t ** \|
	435	+\| Tensor \| VT_TENSOR \| EsCTensor * \|
	436	+\| ListString \| VT_LIST_STRING \| const char ** \|
	437	+
	438	+##### 生成代码举例
	439	+
	440	+有算子`Foo`，包含一个输入`x`, 一个`Int`类型属性`a1`，以及一个`ListListInt`类型属性`a2`如下：
	441	+
	442	+```C++
	443	+REG_OP(Foo)
	444	+ .INPUT(x)
	445	+ .OUTPUT(y)
	446	+ .ATTR(a1, Int, 10)
	447	+ .ATTR(a2, ListListInt, {{}, {}});
	448	+```
	449	+
	450	+转换为 `C API` 为：
	451	+
	452	+```c
	453	+EsCTensorHolder Foo(EsCTensorHolder *x,
	454	+ int64_t a1,
	455	+ const int64_t ** a2,
	456	+ int64_t a2_size,
	457	+ const int64_t *a2_inner_size);
	458	+```
	459	+
	460	+#### 可选输入与可选属性
	461	+
	462	+由于 `C` 语言不支持默认参数机制，生成的 `C API` 中可选输入与普通输入无差别，可选属性也不会保留默认值信息。
	463	+
	464	+例如，以下 `IR` 定义包含一个可选输入 `x2` 和一个可选属性 `a2`：
	465	+
	466	+```C++
	467	+REG_OP(Foo)
	468	+ .INPUT(x1)
	469	+ .OPTIONAL_INPUT(x2)
	470	+ .OUTPUT(y)
	471	+ .REQUIRED_ATTR(a1, Int)
	472	+ .ATTR(a2, Float, 10);
	473	+```
	474	+
	475	+对应生成的 `C API` 为：
	476	+
	477	+```C
	478	+EsCTensorHolder EsFoo(EsCTensorHolder x1, EsCTensorHolder *x2, int64_t a1, float a2);
	479	+```
	480	+
	481	+在该接口中：
	482	+
	483	+- 可选输入 `x2` 允许传入 `nullptr` 表示未使用
	484	+- 可选属性 `a2` 必须由调用者显式传入，接口本身不保留默认值
	485	+- 若传入 `a2` 的值与 `IR` 定义的默认值一致，则视为该属性未配置
	486	+
	487	+可选输入的未使用、可选属性的未配置状态，将用于后续的语义兼容流程中。
	488	+
	489	+#### 控制输入
	490	+
	491	+控制输入用于表达节点之间的控制关系，特点是
	492	+
	493	+1. 并不会体现到 `IR` 定义的输入中
	494	+2. 任何算子都允许对其添加 N 个控制输入（`N >= 0`）
	495	+3. 在保证构图合法性（有向无环图）的前提下，任何节点都可以作为其他任意节点的控制输入和控制输出
	496	+
	497	+因为我们采取的策略是：提供配置控制输入的 `C` 与 `C++` 接口。
	498	+
	499	+`C` 接口使用算子返回的 `EsCTensorHolder` 以及控制输入的 `EsCTensorHolder **` 形式全部节点与对应的节点数量作为入参，具体接口如下：
	500	+
	501	+```c
	502	+/**
	503	+ * @brief 控制边连接函数
	504	+ * @param dest_ctrl_tensor 控制边连边对象
	505	+ * @param src_ctrl_tensors 控制边输入
	506	+ * @param ctrl_tensors_num 控制边数量
	507	+ * @return 成功为0，其他失败
	508	+ */
	509	+uint32_t EsAddControlEdge(EsCTensorHolder *dest_ctrl_tensor,
	510	+ EsCTensorHolder **src_ctrl_tensors,
	511	+ int64_t ctrl_tensors_num);
	512	+```
	513	+
	514	+#### 多输出
	515	+
	516	+当算子具有多个输出时，`C API` 使用结构体返回结果。例如，以下 `Foo` 算子定义了两个输出：
	517	+
	518	+```c++
	519	+REG_OP(Foo)
	520	+ .INPUT(x)
	521	+ .OUTPUT(y1)
	522	+ .OUTPUT(y2);
	523	+```
	524	+
	525	+对应的 `C` 接口为：
	526	+
	527	+```C
	528	+typedef struct {
	529	+ EsCTensorHolder *y1;
	530	+ EsCTensorHolder *y2;
	531	+} FooOutput;
	532	+
	533	+FooOutput EsFoo(EsCTensorHolder *x);
	534	+```
	535	+
	536	+该结构体用于表示 `Foo` 算子的多输出，结构体成员名称与 `REG_OP` 中的输出名称保持一致，便于语义对应与自动生成。
	537	+
	538	+> [!Note]
	539	+>
	540	+> 资源管理说明
	541	+> 与 `C API` 的整体资源管理策略一致，`EsFoo` 返回的结构体内部成员由 `EsCGraphBuilder` 管理，调用方无需手动释放，即`EsCTensorHolder*` 指向的资源将在
	542	+> `EsCGraphBuilder` 销毁时一并释放。
	543	+
	544	+#### 动态输入与动态输出
	545	+
	546	+动态输入表示在构图时可传入 `1` 到 `n` 个输入；动态输出表示在构图时将生成 `1` 到 `n` 个输出。
	547	+
	548	+在 `C API` 中，动态输入与输出通过二级指针 (`EsCTensorHolder**`) 表达，并配合 `int64_t` 类型的计数参数说明元素数量。举例来说，`IdentityN`算子接受一到多个输入和输出，并将每个输入拷贝到对应输出，那么其`IR`定义为：
	549	+
	550	+```C++
	551	+REG_OP(IdentityN)
	552	+ .DYNAMIC_INPUT(x)
	553	+ .DYNAMIC_OUTPUT(y);
	554	+```
	555	+
	556	+对应的`C`接口原型为：
	557	+
	558	+```c
	559	+typedef struct {
	560	+ EsCTensorHolder **y; // 动态输出 y
	561	+ int64_t y_num; // 输出张量数量
	562	+} IdentityNOutput;
	563	+IdentityNOutput EsIdentityN(EsCTensorHolder ** x, // 动态输入 x
	564	+ int64_t x_num, // 输入张量数量
	565	+ int64_t y_num // 输出张量 y 的数量
	566	+ );
	567	+```
	568	+
	569	+> [!Note]
	570	+>
	571	+> 资源管理说明
	572	+> 与 `C API` 的整体资源管理策略一致，返回的 `IdentityNOutput` 结构体其内部的 `EsCTensorHolder** y` 成员由 `EsCGraphBuilder` 管理，无需用户手动释放，它们将在 `EsCGraphBuilder` 销毁时一并释放。
	573	+>
	574	+> 输入参数 `x` 所指向的指针数组由调用方管理，需自行申请与释放。
	575	+
	576	+##### 动态输出的个数
	577	+
	578	+动态输出的实际数量由构图 API 根据算子语义推导而来。API 实现需要理解算子的语义逻辑，以确定应产生多少个输出。
	579	+
	580	+以上文 `IdentityN` 为例，其输出个数与输入个数相等；而 `SplitD` 则根据属性 `num_split` 的值，对输入进行切分，生成多个输出：
	581	+
	582	+```C++
	583	+REG_OP(SplitD)
	584	+ .INPUT(x)
	585	+ .DYNAMIC_OUTPUT(y)
	586	+ .REQUIRED_ATTR(split_dim, Int)
	587	+ .REQUIRED_ATTR(num_split, Int);
	588	+```
	589	+
	590	+然而，目前 `IR` 定义中未显式描述“输入/属性 → 动态输出数量”的映射关系，导致构图 API 难以自动推导输出个数，进而无法正确生成输出。
	591	+
	592	+为解决该问题，`es` 提供了两种机制：
	593	+
	594	+① 手动指定输出数量（默认方案）
	595	+
	596	+用户通过显式传参，告知 API 该算子应产生多少个输出。例如：
	597	+
	598	+```c
	599	+typedef struct {
	600	+ EsCTensorHolder **y; // 动态输出 y
	601	+ int64_t y_num; // 输出张量数量
	602	+} IdentityNOutput;
	603	+IdentityNOutput EsIdentityN(EsCTensorHolder ** x, // 动态输入 x
	604	+ int64_t x_num, // 输入张量数量
	605	+ int64_t y_num // 输出张量 y 的数量
	606	+ );
	607	+```
	608	+
	609	+② 注册输出数量推导函数（优化预案）
	610	+
	611	+为提升易用性，`es` 支持为每个算子注册动态输出数量的推导逻辑。在生成 API 时将内嵌该逻辑，从而自动确定输出数量，用户无需显式传参。
	612	+
	613	+例如，为 `IdentityN` 注册一个简单的推导规则：
	614	+
	615	+```C++
	616	+// 注册部分，注册输出个数与输入个数相等的代码逻辑
	617	+REG_FOR_ESB(IdentityN)
	618	+ .DynamicOutputNum("y", "x_num"); // 推导代码，表达动态输出 y 的数量可以由"x_num"表达式获得
	619	+```
	620	+```C++
	621	+// 头文件定义
	622	+typedef struct {
	623	+ EsCTensorHolder **y;
	624	+ int64_t y_num;
	625	+} IdentityNOutput;
	626	+```
	627	+```C++
	628	+// 实现伪代码
	629	+IdentityNOutput IdentityN(EsCTensorHolder ** x, int64_t x_num) {
	630	+ int64_t y_num = x_num; // 使用注册的推导代码，推导出动态输出 y 的数量
	631	+ return IdentityN(x, x_num, y_num); // 使用推导出的y_num，调用方案1接口
	632	+```
	633	+
	634	+注册的方案当前受制于组件间配合暂时无法实现，当前使用显式指定的方案1，或者[自定义es的实现](../../../examples/custom_es_api/README.md)。
	635	+
	636	+##### 动态输出与非动态输出混合的情况
	637	+
	638	+部分算子可能同时包含多个动态输出与非动态输出，如：
	639	+
	640	+```c
	641	+REG_OP(CTCBeamSearchDecoder)
	642	+ .INPUT(inputs, TensorType({DT_FLOAT, DT_DOUBLE}))
	643	+ .INPUT(sequence_length, TensorType({DT_INT32}))
	644	+ .REQUIRED_ATTR(beam_width, Int)
	645	+ .REQUIRED_ATTR(top_paths, Int)
	646	+ .ATTR(merge_repeated, Bool, true)
	647	+ .DYNAMIC_OUTPUT(decoded_indices, TensorType({DT_INT64}))
	648	+ .DYNAMIC_OUTPUT(decoded_values, TensorType({DT_INT64}))
	649	+ .DYNAMIC_OUTPUT(decoded_shape, TensorType({DT_INT64}))
	650	+ .OUTPUT(log_probability, TensorType({DT_FLOAT, DT_DOUBLE}))
	651	+ .OP_END_FACTORY_REG(CTCBeamSearchDecoder)
	652	+```
	653	+
	654	+其返回值结构有如下两种考虑：
	655	+
	656	+1. 多层`struct`结构
	657	+
	658	+```c
	659	+typedef struct {
	660	+ struct {
	661	+ EsCTensorHolder **decoded_indices,
	662	+ int64_t decoded_indices_num,
	663	+ } es_decoded_indices_output;
	664	+ struct {
	665	+ EsCTensorHolder **decoded_values,
	666	+ int64_t decoded_values_num,
	667	+ } es_decoded_values_output;
	668	+ struct {
	669	+ EsCTensorHolder **decoded_shape,
	670	+ int64_t decoded_shape_num,
	671	+ } es_decoded_shape_output;
	672	+ EsCTensorHolder *log_probability,
	673	+} EsCTCBeamSearchDecoderOutput;
	674	+```
	675	+
	676	+2. 非多层情况(当前采取的策略)
	677	+
	678	+```c
	679	+typedef struct {
	680	+ EsCTensorHolder **decoded_indices,
	681	+ int64_t decoded_indices_num,
	682	+ EsCTensorHolder **decoded_values
	683	+ int64_t decoded_values_num,
	684	+ EsCTensorHolder **decoded_shape,
	685	+ int64_t decoded_shape_num,
	686	+ EsCTensorHolder *log_probability,
	687	+} EsCTCBeamSearchDecoderOutput;
	688	+```
	689	+
	690	+为减少`struct`数量提高代码可读性，同时使接口出参更直观，目前采取第二种非多层的方式
	691	+
	692	+```c
	693	+
	694	+// 实现伪代码
	695	+typedef struct {
	696	+ EsCTensorHolder **decoded_indices;
	697	+ int64_t decoded_indices_num;
	698	+ EsCTensorHolder **decoded_values;
	699	+ int64_t decoded_values_num;
	700	+ EsCTensorHolder **decoded_shape;
	701	+ int64_t decoded_shape_num;
	702	+ EsCTensorHolder *log_probability;
	703	+} EsCTCBeamSearchDecoderOutput;
	704	+/**
	705	+ * @note user needs to provide following inputs for dynamic output numbers:
	706	+ * decoded_indices_num: dynamic output number of decoded_indices
	707	+ * decoded_values_num: dynamic output number of decoded_values
	708	+ * decoded_shape_num: dynamic output number of decoded_shape
	709	+ */
	710	+EsCTCBeamSearchDecoderOutput EsCTCBeamSearchDecoder(
	711	+ EsCTensorHolder *inputs,
	712	+ EsCTensorHolder *sequence_length,
	713	+ int64_t decoded_indices_num,
	714	+ int64_t decoded_values_num,
	715	+ int64_t decoded_shape_num,
	716	+ int64_t beam_width,
	717	+ int64_t top_paths,
	718	+ bool merge_repeated);
	719	+}
	720	+```
	721	+
	722	+#### 冗余属性
	723	+
	724	+由于历史原因，部分 `IR` 中定义的属性存在冗余。例如，在 `ConcatD` 算子中，属性 `N` 表示输入 `x` 的数量：
	725	+
	726	+```C++
	727	+REG_OP(ConcatD)
	728	+ .DYNAMIC_INPUT(x)
	729	+ .OUTPUT(y)
	730	+ .REQUIRED_ATTR(concat_dim, Int)
	731	+ .ATTR(N, Int, 1);
	732	+```
	733	+
	734	+按照默认映射规则生成的 API 会显得冗余：
	735	+
	736	+```C
	737	+EsCTensorHolder EsConcatD(EsCTensorHolder * x, int64_t x_num, int64_t concat_dim, int64_t N);
	738	+```
	739	+
	740	+优化方式是将属性 `N` 注册为可推导属性，使其由 `x_num` 自动推导。通过如下语句注册推导逻辑：
	741	+
	742	+```C++
	743	+REG_FOR_ESB(ConcatD)
	744	+.InferableAttr("N", "x_num"); // 注册推导代码，认为属性 N 是“可推导”的，推到逻辑为等于 x_num
	745	+```
	746	+
	747	+此机制与动态输出个数的推导逻辑类似，生成的推导版本 API 会被优先采用，原型及逻辑如下：
	748	+
	749	+```c
	750	+EsCTensorHolder EsConcatD(EsCTensorHolder * x, int64_t x_num, int64_t concat_dim) {
	751	+ int64_t N = x_num; // 根据注册逻辑推导 N
	752	+ return EsConcatD(x, x_num, concat_dim, N); // 调用默认实现
	753	+}
	754	+```
	755	+注册的方案当前同样受制于组件间配合暂时无法实现，可以使用[自定义es的实现](../../../examples/custom_es_api/README.md)。
	756	+
	757	+#### 控制子图
	758	+
	759	+部分算子包含将子图作为入参，以 `Case` 算子为例，原型如下：
	760	+
	761	+```c
	762	+REG_OP(Case)
	763	+ .INPUT(branch_index, DT_INT32)
	764	+ .DYNAMIC_INPUT(input, TensorType::ALL())
	765	+ .DYNAMIC_OUTPUT(output, TensorType::ALL())
	766	+ .DYNAMIC_GRAPH(branches)
	767	+ .OP_END_FACTORY_REG(Case)
	768	+```
	769	+
	770	+其语义可以等价于
	771	+
	772	+```c
	773	+// 实现伪代码
	774	+switch (branch_index) {
	775	+ case 0:
	776	+ output = branches[0](input);
	777	+ break;
	778	+ case 1:
	779	+ output = branches[1](input);
	780	+ break;
	781	+ case 2:
	782	+ output = branches[2](input);
	783	+ break;
	784	+ // ...
	785	+ return output;
	786	+}
	787	+```
	788	+
	789	+针对动态输入`input`和动态输出`output`个数沿用之前的设计(参考`动态输入与动态输出`章节)。
	790	+
	791	+其中子图通过二级指针 (`ge::Graph **branches`) 表达并配合 `branches_num` 计数参数说明元素数量。
	792	+
	793	+对于 C 接口来说，考虑 C 语言特性，函数签名使用 `EsCGraph **` 不透明指针表达，之后在函数内部进行强转。
	794	+
	795	+生成后的头文件与接口如下：
	796	+
	797	+```c
	798	+// 头文件定义
	799	+typedef struct {
	800	+ EsCTensorHolder **output;
	801	+ int64_t output_num;
	802	+} EsCaseOutput;
	803	+EsCaseOutput EsCase(EsCTensorHolder branch_index, EsCTensorHolder *input, int64_t input_num,
	804	+ int64_t output_num, EsCGraph **branches, int64_t branches_num);
	805	+```
	806	+
	807	+> [!Note]
	808	+>
	809	+> 资源管理说明
	810	+>
	811	+> 与 `C API` 的整体资源管理策略一致，返回的 `EsCaseOutput` 结构体内部的 `EsCTensorHolder** output` 成员由 `EsCGraphBuilder` 管理，无需用户手动释放，它们将在 `EsCGraphBuilder` 销毁时一并释放。
	812	+>
	813	+> 子图入参 `branches` 在用户创建好并传入接口后，其生命周期会在函数内部转移给对应的 `EsCGraphBuilder` 并由其统一管理，用户不应在传入子图后再对其进行操作。
	814	+>
	815	+> 输入参数 `input` 所指向的指针数组由调用方管理，需自行申请与释放。
	816	+>
	817	+> 输入输出个数说明
	818	+>
	819	+> 详见附录<<子图内外index映射关系表达>>章节
	820	+
	821	+#### `Tensor` 属性语法
	822	+
	823	+在 `Const` 算子的定义中，属性类型为 `Tensor`，这是一种特殊的数据类型，通常需要多个参数共同描述。
	824	+
	825	+针对该类型属性，`C API` 提供如下接口用于创建常量：
	826	+
	827	+```c
	828	+/**
	829	+ * @brief 本接口用于C用户创建EsCTensor
	830	+ * @param data 张量数据指针
	831	+ * @param dim 张量维度数组指针
	832	+ * @param dim_num 张量维度数量
	833	+ * @param data_type 张量的DataType枚举值
	834	+ * @param format 张量格式
	835	+ * @return 张量的匿名指针，所有权交给调用方控制, 失败时返回nullptr
	836	+ */
	837	+EsCTensor EsCreateEsCTensor(const void data,
	838	+ const int64_t *dim,
	839	+ int64_t dim_num,
	840	+ C_DataType data_type,
	841	+ C_Format format);
	842	+/**
	843	+ * @brief 本接口用于C用户通过binary文件创建EsCTensor
	844	+ * @param data_file_path 张量binary数据文件路径
	845	+ * @param dim 张量维度数组指针
	846	+ * @param dim_num 张量维度数量
	847	+ * @param data_type 张量的DataType枚举值
	848	+ * @param format 张量格式
	849	+ * @return 张量的匿名指针，所有权交给调用方控制, 失败时返回nullptr
	850	+ */
	851	+EsCTensor EsCreateEsCTensorFromFile(const char data_file_path,
	852	+ const int64_t *dim,
	853	+ int64_t dim_num,
	854	+ C_DataType data_type,
	855	+ C_Format format);
	856	+```
	857	+
	858	+这两个接口会生成一个 `EsCTensor `的匿名指针指向`ge::Tensor `，用于后续作为 `Tensor` 类型属性传入对应算子的构图函数。
	859	+
	860	+参数说明如下：
	861	+- `data` / `const_data_file_path`：常量数据来源。前者表示数据已加载至内存中，后者为数据文件路径，将从文件中读取内容。
	862	+- `dims` + `dims_num`：指定常量 `Tensor` 的形状。
	863	+- `data_type`：数据类型，使用 `C_DataType` 枚举，定义与 `ge::DataType` 保持一致。
	864	+- `format`：数据格式，使用 `C_Format` 枚举，定义与 `ge::Format` 保持一致。
	865	+
	866	+> [!Note]
	867	+>
	868	+> 资源管理说明
	869	+> `EsCreateEsCTensor` / `EsCreateEsCTensorFromFile`返回的结构体指针由调用方进行管理。
	870	+
	871	+对应的，`Const` 算子的原型定义以及 `API` 为：
	872	+
	873	+```C++
	874	+// Const 原型
	875	+REG_OP(Const)
	876	+ .OUTPUT(y)
	877	+ .ATTR(value, Tensor, Tensor());
	878	+
	879	+// C API
	880	+EsCTensorHolder Const(EsCGraphBuilder builder, EsCTensor *value);
	881	+```
	882	+
	883	+#### `Const` 的直接接口
	884	+针对 `Const` 算子，为了便于使用，我们在 `C/C++` 中都提供了直接的接口：
	885	+
	886	+```c
	887	+EsCTensorHolder EsCreateConstInt64(EsCGraphBuilder graph,
	888	+ const int64_t *value,
	889	+ const int64_t *dims,
	890	+ int64_t dim_num);
	891	+EsCTensorHolder EsCreateConstInt32(EsCGraphBuilder graph,
	892	+ const int32_t *value,
	893	+ const int64_t *dims,
	894	+ int64_t dim_num);
	895	+EsCTensorHolder EsCreateConstUInt64(EsCGraphBuilder graph,
	896	+ const uint64_t *value,
	897	+ const int64_t *dims,
	898	+ int64_t dim_num);
	899	+EsCTensorHolder EsCreateConstUInt32(EsCGraphBuilder graph,
	900	+ const uint32_t *value,
	901	+ const int64_t *dims,
	902	+ int64_t dim_num);
	903	+EsCTensorHolder EsCreateConstFloat(EsCGraphBuilder graph,
	904	+ const float *value,
	905	+ const int64_t *dims,
	906	+ int64_t dim_num);
	907	+```
	908	+
	909	+参数说明如下：
	910	+- `graph`：算子所属的`Graph`。
	911	+- `value`：常量数据来源。
	912	+- `dims` + `dims_num`：指定常量 `Tensor` 的形状。
	913	+
	914	+具体接口可以参考[api目录](../api/es_cpp.md)
	915	+
	916	+#### `Scalar`的特殊语法
	917	+
	918	+在许多场景下，需要构造一个 `Scalar` 类型的常量节点。使用通用的 `EsCreateConst` 接口构造 `Scalar` 会显得繁琐：
	919	+
	920	+```C
	921	+float value = 10.0;
	922	+EsConst *tensor = EsCreateConst(builder, &value, nullptr, 0, ES_DT_FLOAT, ES_FORMAT_ND);
	923	+EsCTensorHolder *c1 = Const(builder, tensor);
	924	+```
	925	+
	926	+为简化此类常见操作，框架提供了一组快捷 API，用于直接创建标量类型的常量 `Const` 节点：
	927	+
	928	+```C++
	929	+EsCTensorHolder EsCreateConstScalarFloat32(EsCGraphBuilder builder, float value);
	930	+EsCTensorHolder EsCreateConstScalarFloat16(EsCGraphBuilder builder, float value);
	931	+EsCTensorHolder EsCreateConstScalarInt64(EsCGraphBuilder builder, int64_t value);
	932	+EsCTensorHolder EsCreateConstScalarInt32(EsCGraphBuilder builder, int32_t value);
	933	+// 更多数据类型，按需添加
	934	+```
	935	+
	936	+这些 API 将在图中创建一个 `Const` 节点，其属性具有以下特征：
	937	+
	938	+- `shape` 为标量（即 0 维）
	939	+- `format` 为 `FORMAT_ND`
	940	+- 返回值为已构建的 `EsCTensorHolder*`，可直接用于后续构图流程
	941	+
	942	+这些接口的底层依然使用 `EsCreateConst` 构造常量，只是对标量场景做了语法包装，语义更加直观、简洁。
	943	+
	944	+### `C++ API` 风格设计
	945	+
	946	+相较于通过指针传参和手动管理资源的 C API，C++ API 利用类封装自动完成资源管理，调用者无需显式释放资源。以下示例展示构造一个“两个输入求和”的计算图：
	947	+
	948	+```C++
	949	+using namespace es;
	950	+
	951	+// 1. 创建图构建器（EsGraphBuilder）
	952	+EsGraphBuilder builder("graph_name");
	953	+
	954	+// 2. 添加 2 个输入节点
	955	+EsTensorHolder [data0, data1] = builder.CreateInputs<2>();
	956	+
	957	+// 3. 添加中间节点，C++中，加减乘除等常用运算符被重载，可以直接使用
	958	+EsTensorHolder add = data0 + data1;
	959	+
	960	+// 4. 设置图输出
	961	+builder.SetOutput(add, 0);
	962	+
	963	+// 5. 完成构图，获取构造好的`Graph`对象，`builder`中的资源随析构而销毁
	964	+std::unique_ptr<ge::Graph> graph = builder.BuildAndReset();
	965	+```
	966	+
	967	+#### 属性
	968	+
	969	+ES构图时会将IR算子中的属性进行映射，C++属性类型映射关系为：
	970	+
	971	+\| 算子属性类型 \| IR属性类型 \| `C++`接口属性类型 \|
	972	+\| --------- \| ------------- \| ------------------------------ \|
	973	+\| Int \| VT_INT \| int64_t \|
	974	+\| Float \| VT_FLOAT \| float \|
	975	+\| String \| VT_STRING \| const char * \|
	976	+\| Bool \| VT_BOOL \| bool \|
	977	+\| DataType \| VT_DATA_TYPE \| ge::DataType \|
	978	+\| ListInt \| VT_LIST_INT \| const std::vector\<int64_t\> & \|
	979	+\| ListFloat \| VT_LIST_FLOAT \| const std::vector\<float\> & \|
	980	+\| ListBool \| VT_LIST_BOOL \| const std::vector\<uint8_t\> & \|
	981	+\| ListType \| VT_LIST_DATA_TYPE \| const std::vector\<ge::DataType\> & \|
	982	+\| ListListInt \| VT_LIST_LIST_INT \| const std::vector\<std::vector\<int64_t\>\> & \|
	983	+\| Tensor \| VT_TENSOR \| std::unique_ptr\<ge::Tensor\> \|
	984	+\| ListString \| VT_LIST_STRING \| const std::vector\<const char *\> & \|
	985	+
	986	+##### 生成代码举例
	987	+
	988	+有算子`Foo`，包含一个输入`x`, 一个`Int`类型属性`a1`，以及一个`ListListInt`类型属性`a2`如下：
	989	+
	990	+```C++
	991	+REG_OP(Foo)
	992	+ .INPUT(x)
	993	+ .OUTPUT(y)
	994	+ .ATTR(a1, Int, 10)
	995	+ .ATTR(a2, ListListInt, {{}, {}});
	996	+```
	997	+
	998	+转换为`C++ API`为：
	999	+
	1000	+```C++
	1001	+namespace es {
	1002	+EsCTensorHolder Foo(const EsTensorHolder &x,
	1003	+ int64_t a1 = 10,
	1004	+ const std::vector<std::vector<int64_t>> &a2 = {{}, {}});
	1005	+}
	1006	+```
	1007	+
	1008	+C++ API 兼容 C API 的设计理念，并基于 C++ 语言特性提供更简洁、自然的调用方式。下文将介绍这些特性。
	1009	+
	1010	+#### 可选属性
	1011	+
	1012	+C++ API 通过默认参数表达 IR 中的可选属性。例如，`Foo` 算子有两个可选属性：
	1013	+
	1014	+```C++
	1015	+REG_OP(Foo)
	1016	+ .INPUT(x)
	1017	+ .OUTPUT(y)
	1018	+ .ATTR(a1, Int, 10)
	1019	+ .ATTR(a2, Float, 0.0);
	1020	+```
	1021	+
	1022	+对应的 C++ 接口为：
	1023	+
	1024	+```C++
	1025	+namespace es {
	1026	+ EsTensorHolder Foo(const EsTensorHolder &x, int64_t a1 = 10, float a2 = 0.0);
	1027	+}
	1028	+```
	1029	+
	1030	+若某个可选属性出现在了必选属性之后，例如：
	1031	+
	1032	+```C++
	1033	+REG_OP(Foo)
	1034	+.INPUT(x)
	1035	+.OUTPUT(y)
	1036	+.ATTR(a1, Int, 10) // 可选属性 a1
	1037	+.REQUIRED_ATTR(a2, Int) // 必选属性 a2
	1038	+.ATTR(a3, Float, 0.0); // 可选属性 a3
	1039	+```
	1040	+
	1041	+有两种处理方案：
	1042	+
	1043	+1. 该可选属性在 API 中退化为普通参数，必须显式传入。
	1044	+
	1045	+对应的 C++ 接口为：
	1046	+
	1047	+```C++
	1048	+namespace es {
	1049	+ EsTensorHolder Foo(const EsTensorHolder &x, int64_t a1, int64_t a2, float a3=0.0);
	1050	+}
	1051	+```
	1052	+
	1053	+优点是函数参数顺序和ir顺序一致，缺点是用户必须传递a1的值10或者其他
	1054	+
	1055	+2. 对参数进行重排，可选放在最后对应的 C++ 接口为：
	1056	+
	1057	+```C++
	1058	+namespace es {
	1059	+ EsTensorHolder Foo(const EsTensorHolder &x, int64_t a2, int64_t a1=10, float a3=0.0);
	1060	+}
	1061	+```
	1062	+
	1063	+优点用户无需传递a1的值，缺点是函数参数和ir顺序不一致。
	1064	+
	1065	+考虑到易用性和形参的名字本身就能体现属性的名称，采取方案2
	1066	+
	1067	+#### 控制输入
	1068	+
	1069	+通过`std::vector<EsTensorHolder>`表达控制输入，延续`C API`思路，对应的`C++ API`为：
	1070	+
	1071	+```c++
	1072	+namespace es {
	1073	+Status EsTensorHolder::AddControlEdge(const std::vector<EsTensorHolder> &ctrl_ins) const;
	1074	+}
	1075	+```
	1076	+
	1077	+#### 动态输入与动态输出
	1078	+
	1079	+通过`std::vector`表达动态输入输出，对于动态输出个数的问题，延续`C API`的方式。
	1080	+
	1081	+以`IdentityN`为例（原型参考`C API`动态输入输出章节），`C++`接口为：
	1082	+
	1083	+```C++
	1084	+namespace es {
	1085	+std::vector<EsTensorHolder> IdentityN(const std::vector<EsTensorHolder> &x // 动态输入 x
	1086	+ int64_t y_num // 输出张量 y 的数量
	1087	+ );
	1088	+}
	1089	+```
	1090	+
	1091	+对于包含多个动态输出以及动态输出与非动态输出混合情况的算子，采用与C接口类似的方式构建`struct`结构体承载输出。
	1092	+
	1093	+以`CTCBeamSearchDecoder`算子为例，`C++`接口的输出结构为：
	1094	+
	1095	+```c++
	1096	+struct CTCBeamSearchDecoderOutput {
	1097	+ std::vector<EsTensorHolder> decoded_indices;
	1098	+ std::vector<EsTensorHolder> decoded_values;
	1099	+ std::vector<EsTensorHolder> decoded_shape;
	1100	+ EsTensorHolder log_probability;
	1101	+};
	1102	+/**
	1103	+ * @note user needs to provide following inputs for dynamic output numbers:
	1104	+ * decoded_indices_num: dynamic output number of decoded_indices
	1105	+ * decoded_values_num: dynamic output number of decoded_values
	1106	+ * decoded_shape_num: dynamic output number of decoded_shape
	1107	+ */
	1108	+inline CTCBeamSearchDecoderOutput CTCBeamSearchDecoder(
	1109	+ const EsTensorHolder &inputs,
	1110	+ const EsTensorHolder &sequence_length,
	1111	+ int64_t decoded_indices_num,
	1112	+ int64_t decoded_values_num,
	1113	+ int64_t decoded_shape_num,
	1114	+ int64_t beam_width,
	1115	+ int64_t top_paths,
	1116	+ bool merge_repeated=true);
	1117	+```
	1118	+
	1119	+#### 控制子图
	1120	+
	1121	+与`C`接口实控制子图的方式类似，`C++`接口的控制子图通过`std::vector<std::unique_ptr<ge::Graph>>`表达，子图个数通过`vector`的大小来表达。
	1122	+
	1123	+以`Case`为例（原型参考`C`接口控制子图章节），`C ++`接口为：
	1124	+
	1125	+```c++
	1126	+namespace es {
	1127	+inline std::vector<EsCTensorHolder> Case(
	1128	+ const EsTensorHolder &branch_index,
	1129	+ const std::vector<EsTensorHolder> &input,
	1130	+ int64_t output_num,
	1131	+ std::vector<std::unique_ptr<ge::Graph>> branches)
	1132	+ );
	1133	+}
	1134	+```
	1135	+
	1136	+> [!Note]
	1137	+>
	1138	+> 资源管理说明
	1139	+> 子图`vecotr`的生命周期会在函数内部转移，最终由`EsCGraphBuilder`进行管理。
	1140	+>
	1141	+
	1142	+#### 运算符重载
	1143	+
	1144	+`C++ API` 利用运算符重载，使构图代码更直观、自然。对于支持重载的算子，API 同时提供函数版本与运算符版本，二者等价。例如，加法操作既可以使用函数调用：
	1145	+
	1146	+```c++
	1147	+EsTensorHolder add = Add(x1, x2);
	1148	+```
	1149	+
	1150	+也可以使用更简洁的运算符形式：
	1151	+
	1152	+```C++
	1153	+EsTensorHolder add = x1 + x2;
	1154	+```
	1155	+
	1156	+运算符重载规则与 PyTorch 保持一致，同时考虑C++的合法操作符，我们支持的运算及其对应算子如下：
	1157	+
	1158	+\| 运算符 \| 对应算子 \|
	1159	+\| ------ \| ----------------- \|
	1160	+\| `+` \| `Add` \|
	1161	+\| `-` \| `Sub` \|
	1162	+\| `*` \| `Mul` \|
	1163	+\| `/` \| `Div` \|
	1164	+
	1165	+
	1166	+### `Python API` 风格设计
	1167	+
	1168	+以下示例展示了使用 `Python` 接口构造一个“两个输入求和”的计算图：
	1169	+
	1170	+```python
	1171	+rom ge.es.graph_builder import GraphBuilder, TensorHolder
	1172	+
	1173	+# 1. 创建图构建器（GraphBuilder）
	1174	+builder = GraphBuilder("graph_name")
	1175	+
	1176	+# 2. 添加 2 个输入节点
	1177	+data0, data1 = builder.create_inputs(2)
	1178	+
	1179	+# 3. 添加中间节点
	1180	+add = data0 + data1
	1181	+
	1182	+# 4. 设置图输出
	1183	+builder.set_graph_output(add, 0)
	1184	+
	1185	+# 5. 完成构图，返回最终图对象
	1186	+graph = builder.build_and_reset()
	1187	+```
	1188	+
	1189	+与 `C++` 类似，`Python API` 利用语言特性提升易用性。构图过程中无需显式管理资源，遵循与 `C++ API` 相同的运算符重载规则。`es` 还提供了符合 Python 风格的封装，使构图流程更自然、直观。
	1190	+
	1191	+#### `Python API`原型规则
	1192	+
	1193	+`Python API`遵守整体的`IR`与`API`的映射关系，保持输入参数与`IR`定义的顺序一致。同时利用`Python`的占位参数、关键字参数、默认值能力，完整支持可选输入、可选属性。在`Python API`的兼容性章节已有举例
	1194	+，本节不做赘述。
	1195	+
	1196	+#### 多输出
	1197	+
	1198	+自定义输出表达的类，类中每个元素可以是`Tensor`或`list[Tensor]`类型，分别表示普通输出和动态输出
	1199	+
	1200	+#### 控制输入
	1201	+
	1202	+有两种方案可以选择：
	1203	+
	1204	+1. 通过关键字参数传递 `dependencies=[]`，默认为空，如下所示
	1205	+
	1206	+```Python
	1207	+def Foo(xr: Tensor, xo: Optional[Tensor] = None, xo1: Optional[Tensor] = None,
	1208	+ *, a: int, b: int = 0, c: int = 0, dependencies: List[Tensor] = []):
	1209	+```
	1210	+
	1211	+2. 通过单独的控制 API 来实现
	1212	+
	1213	+```python
	1214	+f0 = Foo()
	1215	+f1 = Foo()
	1216	+f2 = Foo()
	1217	+
	1218	+f2.control_dependencies([f0, f1])
	1219	+
	1220	+```
	1221	+
	1222	+我们采用方案 2 来实现，原因有如下几点：
	1223	+
	1224	+- 方案 1 是 torchair 目前采用的风格，之所以这么做是因为 torchair 有一个设计理念防呆大于易用，因此其引入了一条构图操作应该完全通过 IR 的 API
	1225	+ 来完成的原则，此原则是为了杜绝任何可能改坏图的后处理行为，ES 构图在考虑各方取舍之后，决定不追求此原则，具体可以看后续`是否要做到完全防呆`的讨论
	1226	+- 绝大多数构图场景通过数据依赖就可以完整表达顺序，用到控制边的场景可能是某些操作之间没有数据交换，但是仍然希望按照特定顺序执行，比如变量读取和更新操作，PyTorch 甚至都没提供控制边的概念，因此没有必要对每个 IR 的
	1227	+ ES API 都暴露一个控制边的参数
	1228	+
	1229	+- ES C 的实现因为没有默认参数，所以不会在 IR 的 ES API 层面添加参数，而是通过提供单独 API 设置，鉴于 ES 的多语言能力应该保持一致的原则，ES Python 实现是对 ES C 的封装，因此 API 风格也应该和 ES
	1230	+ C 保持一致
	1231	+
	1232	+同时我们结合语言的特点，可以使用类似 TensorFlow 的风格，额外提供如下风格的控制边设置功能
	1233	+
	1234	+```python
	1235	+with EsBuilder.control_dependencies([f0, f1]):
	1236	+ f2 = Foo()
	1237	+```
	1238	+#### 操作符重载
	1239	+
	1240	+在 Python 中，可以通过在 `Tensor` 类中定义特定的特殊方法（也称为魔术方法）来实现操作符重载。
	1241	+
	1242	+如下是一些常见的操作符和对应的特殊方法：
	1243	+
	1244	+- `+` : `__add__(self, other)`
	1245	+- `-` : `__sub__(self, other)`
	1246	+- `*` : `__mul__(self, other)`
	1247	+- `/` : `__div__(self, other)`
	1248	+
	1249	+
	1250	+特殊方法内部调用对应算子实现
	1251	+
	1252	+\| 运算符 \| 对应算子 \|
	1253	+\| ---- \| ------------ \|
	1254	+\| `+` \| `Add` \|
	1255	+\| `-` \| `Sub` \|
	1256	+\| `*` \| `Mul` \|
	1257	+\| `/` \| `Div` \|
	1258	+
	1259	+
	1260	+#### Python 特有的一些构图语法糖
	1261	+
	1262	+##### node 级别的私有属性 scope 设置
	1263	+
	1264	+详见后续的私有属性设置章节
	1265	+
	1266	+
	1267	+## 详细设计
	1268	+
	1269	+### 构建流程
	1270	+
	1271	+如前所述，在 `API` 生成过程中，需要依赖历史的 `IR` 信息，以生成满足兼容性要求的函数签名。因此，从算子仓的构建视角来看，构建工程新增了一个额外的输入和输出：各版本的原型信息。
	1272	+
	1273	+![](figures/data_flow_build.svg)
	1274	+
	1275	+展开而言，在算子工程的构建过程中，原型信息编译完成后，将进入 ES 系列 API 的生成与编译阶段。该阶段基于当前版本与历史原型库，按照预设规则进行代码生成（codegen），生成符合兼容性规范的 ES 构图
	1276	+API，并将其编译为二进制文件。
	1277	+
	1278	+随后，生成的 ES 二进制及对应头文件会被打包进运行包（run 包）中发布。整个构建流程中，ES 的实现代码仅作为构建过程中的中间产物，不会合入算子代码仓。
	1279	+
	1280	+![](./figures/data_flow_build_1.svg)
	1281	+
	1282	+同时在上图的"ES 系列 API 的生成与编译阶段流程"中，ES codegen 读取"历史原型库"，具体来说：是指基于历史原型信息，生成满足兼容性要求的 ES API
	1283	+
	1284	+所谓“历史原型库”，相较于原型定义，具有以下显著差异：
	1285	+
	1286	+- 定义方式不同：
	1287	+
	1288	+ 原型定义通过 `C++` 代码中的 `REG_OP` 宏进行注册，需经编译后方可使用；而历史原型信息采用结构化文本格式描述，可直接解析，无需编译，适合在构建流程中快速读取和处理。
	1289	+
	1290	+- 数据内容不同
	1291	+ “历史原型库”按商发版本组织，记录了历史上每个商发版本的完整原型定义，用于支持多版本对比与兼容性判断。
	1292	+
	1293	+ 按照兼容性规范，商发版本中的接口（包括构图接口）需在发布后向后兼容一年，向前兼容一年。例如，2025 年 6 月 30 日发布的版本应向后兼容至 2024 年 3 月 30 日之前的版本，向前兼容至 2026 年 9 月 30
	1294	+ 日之后的版本。鉴于兼容周期可能因规范调整而变化，历史原型库需完整保留所有历史版本的 API 定义，以便灵活适应未来兼容性策略的演进。
	1295	+
	1296	+### 模块划分
	1297	+
	1298	+构建流程中新增了四个模块：
	1299	+
	1300	+- ES generator（归属 `GE`）：对应前文所述的 `ES codegen` 阶段，结合当前版本原型信息，生成符合兼容性要求的 ES 构图 API。
	1301	+- 历史原型库（归属 `opp`）：用于定义和维护原型库协议，存储所有历史的原型信息，为多版本兼容性处理提供基础支撑。
	1302	+- generated Eager Style Op API（归属 `opp`）：该模块为构图 API 的生成结果，由构建流程中动态生成，并随运行包发布。由于不参与源码维护，图中以虚线表示其存在。
	1303	+- Eager Style Graph Builder（归属 `GE`）：该模块为 `generated Eager Style Op API` 的基础，配合后者提供完整的 ES 构图能力。
	1304	+
	1305	+![](./figures/logical_all.svg)
	1306	+
	1307	+从开发视角来看，`ES generator` 与 `Eager Style Graph Builder` 可直接纳入 `GE` 仓维护
	1308	+
	1309	+
	1310	+### 模块部署
	1311	+
	1312	+下图用来描述前文涉及到的模块在 run 包中的归属关系，以及 run 包中新增的内容（交付件）
	1313	+
	1314	+![](figures/physical_view.svg)
	1315	+
	1316	+
	1317	+#### Python 封装的具体实现
	1318	+
	1319	+我们采用 ctypes（内置库，不引入额外的依赖）的方式基于 `C` 代码的 so 做 API 的封装；并且如上图所示，我们需要对 esb generated 的产物和 esb base 两部分的 C 代码做封装，分别集成到 opp 包和 compile 包。
	1320	+以如下原型 Gen 出来的 C 函数签名举例：
	1321	+
	1322	+```c
	1323	+#ifdef
	1324	+__cplusplus
	1325	+extern "C" {
	1326	+#endif
	1327	+ EsCTensorHolder Esphony_1i1o(EsCTensorHolder x, int64_t index);
	1328	+#ifdef
	1329	+__cplusplus
	1330	+}
	1331	+#endif
	1332	+```
	1333	+
	1334	+我们可以通过如下 Python 封装层来实现对应的 Python API 的功能
	1335	+
	1336	+```python
	1337	+import ctypes
	1338	+import os
	1339	+try:
	1340	+ from pyge.es_graph_builder import GraphBuilder, TensorHolder
	1341	+ from pyge.library.pyes_graph_builder_wrapper import (
	1342	+ esb_lib,
	1343	+ get_generated_lib
	1344	+ )
	1345	+except ImportError as e:
	1346	+ pytest.skip(f"无法导入 pyge 模块: {e}", allow_module_level=True)
	1347	+
	1348	+# 定义函数原型
	1349	+esb_generated_lib = get_generated_lib()
	1350	+esb_generated_lib.Esphony_1i1o.argtypes = [ctypes.c_void_p, ctypes.c_int64]
	1351	+esb_generated_lib.Esphony_1i1o.restype = ctypes.c_void_p
	1352	+
	1353	+# 创建 Python 包装函数
	1354	+def phony_1i1o(x: TensorHolder, index: int) -> TensorHolder:
	1355	+ """
	1356	+ 调用 Esphony_1i1o 函数的 Python 包装
	1357	+ 参数:
	1358	+ x: TensorHolder 对象
	1359	+ index: int64 类型的索引值
	1360	+ 返回:
	1361	+ 返回新的 TensorHolder 对象
	1362	+ """
	1363	+ # 获取底层 C 对象的指针
	1364	+ x_ptr = x.handle
	1365	+
	1366	+ # 调用 C 函数并创建新的 Python 包装对象
	1367	+ return TensorHolder(esb_lib.Esphony_1i1o(x_ptr, ctypes.c_int64(index)))
	1368	+```
	1369	+
	1370	+### ES Python 构图的额外处理
	1371	+
	1372	+从实际业务流程来看，`APP` 调用 `libesb` 完成构图后，需要应用该图，即通过 `GE` 接口完成图编译与执行。目前，`GE` 仅提供 `C++` API，因此：
	1373	+
	1374	+- 使用 C++ 的 APP：可直接进行构图、编译与执行
	1375	+- 使用 Python 的 APP：虽能完成构图，但无法持有构图结果，且缺少后续编译与执行能力
	1376	+
	1377	+为支持 Python API 的完整功能，需要在以下模块新增 Python 封装：
	1378	+
	1379	+* GE：作为通用图结构的载体模块，需将 `Graph` 等基础结构封装为 Python 可用对象，同时打包到 `GE 图编译子包`
	1380	+* GE：需将已有的 `Session` 类封装为 Python 类，暴露编译和执行能力，同时打包到 `GE 图编译子包`
	1381	+
	1382	+![](figures/development_view.svg)
	1383	+
	1384	+
	1385	+### 是否要做到完全防呆
	1386	+
	1387	+完全防呆前文提到是 torchair 的一个设计原则，ES 如果 follow 这个原则，意味着所有操作要在 ES API 内完成闭环，同时不对外提供任何可以基于对象二次改图的接口；对于 ES 来说会有如下问题：
	1388	+
	1389	+1. ES API 是忠实于 IR 定义 gen 出来的，同时要支撑多个场景的使用，如用户自定义 pass，内部图的 dump code
	1390	+ able 完整表达，这意味着要支持的场景会比 torchair 面临的场景复杂，这会出现私有属性、控制边等不体现在 IR 上的信息需要 ES 构图来表达，如果 follow
	1391	+ torchair 的原则，会对每个 API 统一添加很多可能很少场景下才会用到参数，造成可读性下降的同时会打破 ES API 是忠实于 IR 定义这一原则
	1392	+
	1393	+2. 不对外提供任何可以基于对象二次改图的接口，对 ES 来说就是不暴露 GetProducer 的获取 GNode 对象的接口，这个带来的影响如下
	1394	+
	1395	+- 实际场景下，GetProducer 很难干掉，因为 ES API 的实现构造节点连边关系的时候，鉴于我们 ES 复用已有的数据结构的原则，需要复用对 GNode 建立连边的接口，需要 Graph::AddEdge(
	1396	+ tensorholder0->GetProducer()， tensorholder1->GetProducer()，如果要去掉，则面临此新增 ES 专门的连边基础接口，打破了复用原则
	1397	+
	1398	+- GetProducer 提供的好处也显而易见，可以让 ES 跟现有的 GE 的数据结构建立桥梁，意味着 ES 的能力更强大，拥有更多可能性
	1399	+
	1400	+3. 鉴于前文提到的 ES 多语言（C、C++、Python）能力一致的原则，对 ES API 添加参数会造成 ES C 的构图易用性下降，因为 C 语言不支持默认参数，此举会造成使用者不得感知所有参数
	1401	+
	1402	+鉴于上述，我们 ES 的原则是 API 内部仅完成 IR 相关的构图设置，设置私有属性和控制边等 IR 不相干的行为通过单独的 API 完成，做到部分防呆的同时兼顾构图的高易用性
	1403	+
	1404	+### 私有属性
	1405	+
	1406	+目前对图对象、节点对象、节点的输出对象设置私有属性，整体来说以下几种方式可以选择：
	1407	+
	1408	+1. 基于现有的基础类设置属性接口进行设置（C 不支持，因为 GNode 没有对应的 C 的 struct）
	1409	+
	1410	+```c++
	1411	+EsGraphBuilder builder("test_graph");
	1412	+auto t = graph_builder->CreateScalar(int64_t(321));
	1413	+// ... 其他构图代码
	1414	+std::unique_ptr<ge::Graph> graph = builder.Build();
	1415	+graph->SetAttr(attr_name, attr_value); // 依赖现有的ge::Graph类的设置属性能力，以及AttrValue的泛型对象支持任意的基本类型属性
	1416	+
	1417	+auto node_ptr = t.GetProducer();
	1418	+node_ptr->SetAttr(attr_name, attr_value); // 依赖现有的ge::GNode类的设置属性能力，以及AttrValue的泛型对象支持任意的基本类型属性
	1419	+node_ptr->SetOutputAttr(attr_name, attr_value); // 依赖现有的ge::GNode类的设置属性能力，以及AttrValue的泛型对象支持任意的基本类型属性
	1420	+
	1421	+```
	1422	+
	1423	+```python
	1424	+# 封装GNode和Graph的python类，提供方法设置
	1425	+
	1426	+```
	1427	+
	1428	+2. 基于EsGraphBuilder和EsTensorHolder封装的接口进行设置
	1429	+
	1430	+```c++
	1431	+class EsGraphBuilder {
	1432	+ Status SetAttr(const char *attr_name, int64_t value);
	1433	+ Status SetAttr(const char attr_name, const char value);
	1434	+ Status SetAttr(const char *attr_name, bool value);
	1435	+}
	1436	+class EsTensorHolder {
	1437	+ Status SetAttr(const char *attr_name, int64_t value);
	1438	+ Status SetAttr(const char attr_name, const char value);
	1439	+ Status SetAttr(const char *attr_name, bool value);
	1440	+ Status SetAttrForNode(const char *attr_name, int64_t value);
	1441	+ Status SetAttrForNode(const char attr_name, const char value);
	1442	+ Status SetAttrForNode(const char *attr_name, bool value);
	1443	+}
	1444	+
	1445	+```
	1446	+
	1447	+```c
	1448	+uint32_t EsSetInt64AttrForGraph(EsCGraphBuilder graph, const char attr_name, int64_t value);
	1449	+uint32_t EsSetStringAttrForGraph(EsCGraphBuilder graph, const char attr_name, const char *value);
	1450	+uint32_t EsSetBoolAttrForGraph(EsCGraphBuilder graph, const char attr_name, bool value);
	1451	+
	1452	+uint32_t EsSetInt64AttrForTensor(EsCTensorHolder tensor, const char attr_name, int64_t value);
	1453	+uint32_t EsSetStringAttrForTensor(EsCTensorHolder tensor, const char attr_name, const char *value);
	1454	+uint32_t EsSetBoolAttrForTensor(EsCTensorHolder tensor, const char attr_name, bool value);
	1455	+
	1456	+uint32_t EsSetInt64AttrForNode(EsCTensorHolder tensor, const char attr_name, int64_t value);
	1457	+uint32_t EsSetStringAttrForNode(EsCTensorHolder tensor, const char attr_name, const char *value);
	1458	+uint32_t EsSetBoolAttrForNode(EsCTensorHolder tensor, const char attr_name, bool value);
	1459	+```
	1460	+
	1461	+```python
	1462	+# 封装EsTensorHolder和EsGraphBuilder的python类，提供方法进行设置
	1463	+
	1464	+```
	1465	+
	1466	+3. 上下文管理器的方式设置（目前仅 Python 支持，并且只支持对 node 设置属性）
	1467	+
	1468	+```python
	1469	+@contextlib.contextmanager
	1470	+def attr_scope(attr_maps):
	1471	+ # 获取当前属性并合并新属性
	1472	+ current_attrs = getattr(local_variable, "custom_node_attrs", {})
	1473	+ new_attrs = {current_attrs, attr_maps} # 合并字典
	1474	+
	1475	+ try:
	1476	+ setattr(local_variable, "custom_node_attrs", new_attrs)
	1477	+ yield
	1478	+ finally:
	1479	+ # 恢复为进入上下文前的状态
	1480	+ setattr(local_variable, "custom_node_attrs", current_attrs)
	1481	+
	1482	+
	1483	+# 使用方
	1484	+with attr_scope({"key": "value"}):
	1485	+ # 在这个上下文中，custom_node_attrs被设置为{"key": "value"}
	1486	+ create_nodes1_with_attrs() # get然后设置到此处产生的nodes1上
	1487	+ with attr_scope({"key1": "value1"}):
	1488	+ # 在这个上下文中，custom_node_attrs被设置为{"key": "value", "key1": "value1"}
	1489	+ create_nodes2_with_attrs() # get然后设置到此处产生的nodes2上
	1490	+ # 退出后，custom_node_attrs自动恢复为{"key": "value"}
	1491	+# 退出后，custom_node_attrs自动恢复为空字典
	1492	+```
	1493	+
	1494	+4. API 添加参数来传递可选私有属性（仅 node 级别的属性设置如下）
	1495	+
	1496	+```C
	1497	+extern "C" {
	1498	+EsCTensorHolder* EsRelu(EsCTensorHolder* x, const char* types, const char* name, ...) {
	1499	+// 省略构造节点代码
	1500	+ va_list args;
	1501	+ for (int i = 0; types[i] != '\0'; i++) {
	1502	+ switch (types[i]) {
	1503	+ case 'i': // 整数
	1504	+ printf("%d ", va_arg(args, int));
	1505	+ y->GetProducer()->SetAttr(name[i], va_arg(args, int)); //内部调用GNode的能力
	1506	+ break;
	1507	+ case 's': // 字符串
	1508	+ printf("%s ", va_arg(args, char*));
	1509	+ y->GetProducer()->SetAttr(name[i], va_arg(args, char*));
	1510	+ break;
	1511	+ // 其他类型
	1512	+ }
	1513	+ }
	1514	+}
	1515	+}
	1516	+```
	1517	+
	1518	+```C++
	1519	+namespace ge {
	1520	+namespace es {
	1521	+EsTensorHolder Relu(EsCTensorHolder &x, std::map<std::AscendString, ge::AttrValue> custom_attrs = {
	1522	+}) {
	1523	+// 省略构造节点代码
	1524	+ for (const auto& pair : custom_attrs) {
	1525	+ y->GetProducer()->SetAttr(pair.first, pair.second); //内部调用GNode的能力
	1526	+ }
	1527	+}
	1528	+}
	1529	+}
	1530	+```
	1531	+
	1532	+```python
	1533	+# es_relu.py
	1534	+def Relu(x: TensorHolder, custom_attrs: Optional[Dict[str, Any]] = None) -> TensorHolder:
	1535	+ # 构建类型字符串和值列表
	1536	+ types_str = ""
	1537	+ values = []
	1538	+ names_str = ""
	1539	+
	1540	+ for key, value in custom_attrs.items():
	1541	+ if isinstance(value, int):
	1542	+ types_str += 'i'
	1543	+ values.append(value)
	1544	+ elif isinstance(value, str):
	1545	+ types_str += 's'
	1546	+ values.append(value.encode('utf-8'))
	1547	+ # 添加其他类型处理...
	1548	+ names_str += key + '\0'
	1549	+
	1550	+ # 调用 C 函数
	1551	+ result_ptr = _lib.EsRelu(
	1552	+ x._as_parameter_,
	1553	+ types_str.encode('utf-8'),
	1554	+ names_str.encode('utf-8'),
	1555	+ *values # 展开值列表
	1556	+ )
	1557	+```
	1558	+
	1559	+从以下几个维度来比对上面几种构图方式：
	1560	+
	1561	+\| \| 基于现有的基础类设置属性接口进行设置 \| 基于 EsGraphBuilder 和 EsTensorHolder 封装的接口进行设置 \| 上下文管理器的方式设置 \| API 添加参数来传递可选私有属性 \|
	1562	+\| ----- \| ------------------------- \| ---------------------------------------- \| ---------------------------------- \| ---------------------------- \|
	1563	+\| 易用性 \| 3 星（调用构图 API 之后，基于返回对象进行后处理） \| 3 星（调用构图 API 之后，基于返回对象进行后处理） \| 3.5 星（批处理和嵌套场景优势巨大）；但是 C++ 的构图写法会比较繁琐 \| 2.5 星（参数构造比较麻烦） \|
	1564	+\| 防呆性 \| 3 星（提供了 GNode 的获取方法，用户可以魔改） \| 3.5 星（有后处理，但是后处理是我们 ES 提供的固定 API，可控） \| 4 星（API 内部获取上下文信息搞定属性设置，无任何后处理） \| 4 星（API 内部获取上下文信息搞定属性设置，无任何后处理） \|
	1565	+\| 功能完备性 \| 3 星（C 不支持） \| 5 星 \| 3 星（C 支持困难） \| 5 星 \|
	1566	+
	1567	+我们的策略做一个能力的并集：
	1568	+
	1569	+1. 提供获取 GNode、Graph 的能力，供 ES 构图可以切换到基于现有的基础类设置属性接口进行设置
	1570	+2. 基于 EsGraphBuilder 和 EsTensorHolder 封装的接口进行设置，便于 C 构图的人或者不了解之前基础类的人更好使用
	1571	+3. Python 语言结合自身的语言特点，可以提供语法糖的更高层封装，也就是上下文管理器的方式设置来更好的设置
	1572	+
	1573	+
	1574	+### `EsCGraphBuilder` 中的生命周期管理
	1575	+
	1576	+算子内部创建的 `Node`、算子接口返回的动态输出、以及用户通过入参传入的 `Tensor` 属性与子图，在 `EsCGraphBuilder` 内部统一通过 `std::list<std::unique_ptr<ResourceHolder>> resource_holder_` 结构管理，具体结构如下：
	1577	+
	1578	+```c++
	1579	+ /**
	1580	+ * 资源管理struct
	1581	+ * resource_ptr_ 资源指针
	1582	+ * deleter_ 析构函数
	1583	+ */
	1584	+ struct ResourceHolder{
	1585	+ void *resource_ptr_;
	1586	+ std::function<void(void*)> deleter_;
	1587	+ ResourceHolder(void resource_ptr, std::function<void(void)> deleter) :
	1588	+ resource_ptr_(resource_ptr), deleter_(std::move(deleter)) {}
	1589	+ ~ResourceHolder() {
	1590	+ if (resource_ptr_ != nullptr) {
	1591	+ deleter_(resource_ptr_);
	1592	+ }
	1593	+ }
	1594	+ };
	1595	+ std::list<std::unique_ptr<ResourceHolder>> resource_holder_;
	1596	+```
	1597	+
	1598	+目前依赖于该结构管理的有：
	1599	+
	1600	+- 用户传入接口的 `Tensor` 属性
	1601	+
	1602	+- 接口返回的 `EsCTensorHolder`
	1603	+
	1604	+- 接口的动态输出返回值
	1605	+
	1606	+- 用户传入接口的子图
	1607	+
	1608	+相关的实例的生命周期会转移给 `EsCGraphBuilder`，并跟随 `EsCGraphBuilder` 的析构而释放持有的内存。
	1609	+
	1610	+### 控制子图相关设计说明
	1611	+
	1612	+#### 控制子图依赖的 `MetaDef` 新增接口
	1613	+
	1614	+为适配 ES 构图中子图构建与连边等逻辑，在 `graph.h` 与 `gnode.h` 新增接口：
	1615	+
	1616	+`graph.h`
	1617	+
	1618	+```c++
	1619	+ /**
	1620	+ * @brief Find the GNode with the target node_name in the graph
	1621	+ * @param node_name GNode name
	1622	+ * @return GNodePtr GNode pointer in the graph, return nullptr if failed
	1623	+ */
	1624	+ GNodePtr FindNodeByName(const AscendString &node_name) const;
	1625	+
	1626	+ /**
	1627	+ * @brief Get the parent graph of current sub graph
	1628	+ * @return ConstGraphPtr The parent graph shared pointer of current graph, return nullptr if failed
	1629	+ */
	1630	+ ConstGraphPtr GetParentGraph() const;
	1631	+
	1632	+ /**
	1633	+ * @brief Get the parent node of current sub graph
	1634	+ * @return GNodePtr The parent node shared pointer of current graph, return nullptr if failed
	1635	+ */
	1636	+ GNodePtr GetParentNode() const;
	1637	+```
	1638	+
	1639	+`gnode.h`
	1640	+
	1641	+```c++
	1642	+ /**
	1643	+ * @brief Add the subgraph to the node
	1644	+ * @param subgraph_ir_name IR subgraph name
	1645	+ * @param subgraph the subgraph to be added
	1646	+ * @return GRAPH_SUCCESS: success, others: failed
	1647	+ */
	1648	+ graphStatus SetSubgraph(const AscendString &subgraph_ir_name, const Graph &subgraph);
	1649	+
	1650	+ /**
	1651	+ * @brief Add subgraphs to the node
	1652	+ * @param subgraph_ir_name Dynamic IR subgraphs name
	1653	+ * @param subgraphs subgraphs to be added
	1654	+ * @return GRAPH_SUCCESS: success, others: failed
	1655	+ */
	1656	+ graphStatus SetSubgraphs(const AscendString &subgraph_ir_name, const std::vector<Graph> &subgraphs);
	1657	+```
	1658	+
	1659	+### ES 部分复杂属性说明
	1660	+
	1661	+算子属性映射关系已在上文进行描述，本章节仅对部分复杂属性进行说明
	1662	+
	1663	+#### ListType
	1664	+
	1665	+IR 算子属性 `VT_LIST_DATA_TYPE` 对应算子类型 `ListType`，依赖 IR 类型 `ge::DataType`，在用户可感知该属性时，按照如 `VT_LIST_INT` 等其他 list 类型的已适配属性方式处理，对于 C 类型接口，需要转换为 `C_DataType`。
	1666	+
	1667	+在代码生成后，用户使用时参考如`VT_LIST_INT`类型进行使用即可。
	1668	+
	1669	+##### 举例
	1670	+
	1671	+设有算子`Foo`，包含一个输入`x`以及一个`ListType`类型可选属性`a1`如下：
	1672	+
	1673	+```C++
	1674	+REG_OP(Foo)
	1675	+ .INPUT(x)
	1676	+ .OUTPUT(y)
	1677	+ .ATTR(a1, ListType, {});
	1678	+```
	1679	+
	1680	+转换为`C API`为：
	1681	+
	1682	+```C
	1683	+EsCTensorHolder Foo(EsCTensorHolder *x,
	1684	+ const C_DataType *a1,
	1685	+ int64_t a1_size);
	1686	+```
	1687	+
	1688	+转换为`C++ API`为：
	1689	+
	1690	+```C++
	1691	+namespace es {
	1692	+EsTensorHolder Foo(const EsTensorHolder &x,
	1693	+ const std::vector<ge::DataType> &a1 = {});
	1694	+}
	1695	+```
	1696	+
	1697	+#### ListListInt
	1698	+
	1699	+对于`C++`接口，直接使用`vector`格式形参：
	1700	+
	1701	+```c++
	1702	+// C++接口形参
	1703	+...std::vector<std::vector<int64_t>> &input_list...
	1704	+```
	1705	+
	1706	+因 C 语言不支持 `vector` 等库函数，无法直接使用上述类型形参。
	1707	+
	1708	+对于 C 语言接口，处理方式有两种：
	1709	+
	1710	+1. 在 C 语言接口中，将 `std::vector<int64_t>` 转换为 `Struct` 结构（参考 `output` 构造方式），之后将 `VT_LIST_LIST_INT` 转换为 `list of struct`：
	1711	+
	1712	+ ```c++
	1713	+ // C语言接口生成的结构体代码
	1714	+ typedef struct {
	1715	+ int64_t* value;
	1716	+ int64_t size;
	1717	+ } EsListInt;
	1718	+ // C语言接口形参
	1719	+ ...EsListListInt *input_list, int64_t input_list_size...
	1720	+ ```
	1721	+
	1722	+ 之后在函数声明与内部实现时适配对应逻辑。
	1723	+
	1724	+2. 将多层 `vector` 类型形参拆分为三部分：对应类型的二级指针，外层 `list` 大小，各内部 `list` 大小：
	1725	+
	1726	+ ```c++
	1727	+ ...
	1728	+ const int64_t **attr_name,
	1729	+ int64_t outer_size,
	1730	+ const int64_t *inner_size,
	1731	+ ...
	1732	+ ```
	1733	+
	1734	+ 之后在内部生成double pointer与vector转换等逻辑。
	1735	+
	1736	+为使接口清晰便于使用，同时减少形参数量，目前采取第二种方式。
	1737	+
	1738	+##### 举例
	1739	+
	1740	+设有算子`Foo`，包含一个输入`x`以及一个`ListListInt`类型可选属性`a1`如下：
	1741	+
	1742	+```C++
	1743	+REG_OP(Foo)
	1744	+ .INPUT(x)
	1745	+ .OUTPUT(y)
	1746	+ .ATTR(a1, ListListInt, {{}, {}});
	1747	+```
	1748	+
	1749	+转换为`C API`为：
	1750	+
	1751	+```C
	1752	+EsCTensorHolder Foo(EsCTensorHolder *x,
	1753	+ const int64_t **a1,
	1754	+ int64_t a1_size,
	1755	+ const int64_t *a1_inner_size);
	1756	+```
	1757	+
	1758	+转换为`C++ API`为：
	1759	+
	1760	+```C++
	1761	+namespace es {
	1762	+EsTensorHolder Foo(const EsTensorHolder &x,
	1763	+ const std::vector<std::vector<int64_t>> &a1 = {{}, {}});
	1764	+}
	1765	+```
	1766	+
	1767	+#### Tensor
	1768	+
	1769	+与非`List`属性类似，区别为`Tensor`类型属性入参在传入后，其生命周期会被转移给算子对应的`EsCGraphBuilder`进行管理，用户不应在传入`Tensor`类型属性后再对传入的入参进行操作。
	1770	+
	1771	+> [!CAUTION]
	1772	+>
	1773	+> 对于`Tensor`类型的属性, 目前仅支持`Tensor()`一种默认值。
	1774	+
	1775	+对于C++接口用户，可以直接传入`ge::Tensor`类型的属性；而对于C接口用户，ES会提供接创建匿名指针`EsCTensor *`的接口作为C接口形式的`Tensor`类型属性指针。
	1776	+
	1777	+`C/C++`接口的`Tensor`类型属性生命周期都会被转移给`EsCGraphBuilder`进行管理。
	1778	+
	1779	+> [!Note]
	1780	+>
	1781	+> 对于C++接口传入的`ge::Tensor`属性，在内部处理时会将其转换为`EsCTensor`类型之后传递给C接口，用户不感知该转换。
	1782	+
	1783	+##### 举例
	1784	+
	1785	+设有算子`Foo`，包含一个输入`x`以及一个`Tensor`类型可选属性`a1`如下：
	1786	+
	1787	+```C++
	1788	+REG_OP(Foo)
	1789	+ .INPUT(x)
	1790	+ .OUTPUT(y)
	1791	+ .ATTR(a1, Tensor, Tensor());
	1792	+```
	1793	+
	1794	+转换为`C API`为：
	1795	+
	1796	+```C
	1797	+EsCTensorHolder Foo(EsCTensorHolder *x,
	1798	+ EsCTensor *a1);
	1799	+```
	1800	+
	1801	+转换为`C++ API`为：
	1802	+
	1803	+```C++
	1804	+namespace es {
	1805	+EsTensorHolder Foo(const EsTensorHolder &x,
	1806	+ std::unique_ptr<ge::Tensor> a1=std::make_unique<ge::Tensor>(ge::Tensor()));
	1807	+}
	1808	+```
	1809	+
	1810	+#### ListString
	1811	+
	1812	+对于`C++`接口中的`String`类型来说，因不同GCC版本`std::string`对应的符号可能不一致，因此需要使用`const char *`替代`std::string`，形参构造为：
	1813	+
	1814	+```c++
	1815	+...std::vector<char *> input_list...
	1816	+```
	1817	+
	1818	+对于C语言接口，则直接使用
	1819	+
	1820	+```c
	1821	+...const char **input_list...
	1822	+```
	1823	+
	1824	+##### 举例
	1825	+
	1826	+设有算子`Foo`，包含一个输入`x`以及一个`ListString`类型可选属性`a1`如下：
	1827	+
	1828	+```C++
	1829	+REG_OP(Foo)
	1830	+ .INPUT(x)
	1831	+ .OUTPUT(y)
	1832	+ .ATTR(a1, ListString, {});
	1833	+```
	1834	+
	1835	+转换为`C API`为：
	1836	+
	1837	+```C
	1838	+EsCTensorHolder Foo(EsCTensorHolder *x,
	1839	+ const char *a1, // 因AscendString包含char 的构造函数，不需要传入ListString内部每个string对应char *的长度
	1840	+ const int64_t a1_size);
	1841	+```
	1842	+
	1843	+转换为`C++ API`为：
	1844	+
	1845	+```C++
	1846	+namespace es {
	1847	+EsTensorHolder Foo(const EsTensorHolder &x,
	1848	+ const std::vector<const char *> &a1 = {});
	1849	+}
	1850	+```
	1851	+
	1852	+## 附录
	1853	+
	1854	+### V1 控制算子不生成 ES API
	1855	+
	1856	+当前 ES 构图逻辑不包含 V1 控制算子：
	1857	+
	1858	+\| V1 控制算子 \|
	1859	+\| ------------- \|
	1860	+\| Switch \|
	1861	+\| StreamSwitch \|
	1862	+\| Merge \|
	1863	+\| StreamMerge \|
	1864	+\| Enter \|
	1865	+\| Exit \|
	1866	+\| LoopCond \|
	1867	+\| NextIteration \|
	1868	+
	1869	+### `Variable` 算子因已提供 `C/C++` 接口，不再生成算子
	1870	+
	1871	+\| 已有 C/C++ 接口的算子 \|
	1872	+\|--------------\|
	1873	+\| Variable \|
	1874	+
	1875	+### 方案探讨：通过多版本函数名（如 `FooV2`）保持兼容性
	1876	+
	1877	+当算子原型发生兼容性扩展（如新增可选输入或属性）时，由于 `C` 语言不支持函数重载或默认参数，无法在同一函数签名下表达接口变化。此时，一种常见但问题较多的做法是通过函数名加版本后缀（如 `esFooV2`）来区分 API
	1878	+版本，以规避签名不兼容问题。例如：
	1879	+
	1880	+```
	1881	+cCopyEdit// v1 版本 API
	1882	+Tensor esFoo(const Tensor x);
	1883	+
	1884	+// v2 版本新增可选输入 xo
	1885	+Tensor esFooV2(const Tensor x, const Tensor *xo);
	1886	+```
	1887	+
	1888	+该方案虽然在表面上保留了旧接口，但在实际工程中存在明显缺陷：
	1889	+
	1890	+1. 语义混淆，命名不直观
	1891	+
	1892	+`esFooV2` 易被误解为一个新的算子，而非 `Foo` 的扩展版本。这种命名方式难以准确传达“同一操作的演进版本”，不利于用户形成统一的 API 认知。
	1893	+
	1894	+2. 多语言风格割裂
	1895	+
	1896	+`C++` 和 `Python` 支持默认参数与函数重载，可自然表达接口演进，无需区分多个函数名。若仅在 `C` 层引入版本后缀，将破坏多语言接口风格的一致性，影响用户体验。
	1897	+
	1898	+3. 无法向前兼容，链接脆弱
	1899	+
	1900	+即使仅使用 `esFooV2` 的兼容参数（如不传 `xo`），只要函数签名发生变化，在旧版本运行环境中仍可能因符号缺失导致链接失败。该方案仅满足向后兼容，无法保障前向兼容性。
	1901	+
	1902	+4. 接口膨胀，维护成本高
	1903	+
	1904	+每次接口演进都需新增一组函数名，带来额外的文档、测试、封装和工具链负担。长期来看，易导致命名空间膨胀和维护难度上升。
	1905	+
	1906	+------
	1907	+
	1908	+基于 `C` 语言在表达能力上的天然局限，构图接口很难同时实现完美的向前和向后兼容。`C` 接口的存在一方面是为了能力完备，另一方面也是为习惯或确有需求的用户提供选择。实际使用中，我们更推荐用户优先使用 `C++` 或 `Python`
	1909	+构图接口，它们能够更优雅地支持接口演进和版本兼容。
	1910	+
	1911	+### 关于浮点类型的可选属性判断
	1912	+
	1913	+由于浮点数在计算机中无法精确表达，`es` 在判断可选浮点属性是否被显式配置时可能遇到精度误差问题：用户传入的值与 `IR` 定义的默认值在语义上相等，但在数值表示上存在极小差异，导致误判为“已配置”。
	1914	+
	1915	+为解决该问题，存在两种策略：
	1916	+
	1917	+1. 容差判断（推荐方案）
	1918	+ 使用绝对误差容差进行比较：若传入值与默认值之间的差异在指定容差范围内（如 `1e-5`）则视为相等。该方案是浮点比较中的通用策略，易于实现，用户体验友好。
	1919	+2. 字符串比较（理论方案）
	1920	+ 在构图 API 中要求用户以字符串形式传入浮点值，同时在 `IR` 中保存默认值的字符串表示。通过字符串做精确匹配以判断是否“配置过”。
	1921	+
	1922	+尽管方案 2 更严谨，但它会显著降低 API 直观性——浮点属性需以字符串形式传入，与类型语义不符。相比之下，方案 1 在大多数实际场景下误判概率极低，即使误判，由于在容差范围内，也不应该对算子行为产生实质性影响。因此，`es`
	1923	+当下采用方案 1 。
	1924	+
	1925	+### 子图内外index映射关系表达
	1926	+
	1927	+携带子图的算子，算子的实例化后，通过在子图内的`Data`和`NetOutput`标记信息来映射到算子的输入输出上；具体来说：
	1928	+
	1929	+1. `Data`节点上按照创建时指定的`index`表示对应于算子的第几个输入；实际含义是子图内第N个`Data`节点对应数据源头是算子的第N个输入数据；
	1930	+ `Data`节点的个数代表子图的输入个数，子图的输入个数应该小于等于算子的实际输入个数
	1931	+2. `NetOutput`的输入顺序表示对应算子的输出，实际含义是算子的第N个输出对应的数据源头是子图内`NetOutput`的第N个输入数据；子图成图时保证了子图内只有一个`NetOutput`
	1932	+ 节点，其输入个数代表了子图的输出个数，运行时有可能作为算子执行逻辑表达载体的子图，其输出个数应当跟算子的输出个数保持一致
	1933	+
	1934	+### generate_es_package.cmake依赖关系说明
	1935	+
	1936	+```
	1937	+用户应用 (my_app)
	1938	+ │
	1939	+ └─> target_link_libraries(PRIVATE es_math) # 用户调用
	1940	+ │
	1941	+ ▼
	1942	+ ┌──────────────────────────────────────┐
	1943	+ │ es_math (INTERFACE library) │ ← 对外接口
	1944	+ │ - 不生成任何构建产物 │
	1945	+ │ - 纯粹的依赖和属性传递 │
	1946	+ └──────────────────────────────────────┘
	1947	+ │
	1948	+ ├─> add_dependencies(build_es_math) # 触发智能构建
	1949	+ │ │
	1950	+ │ ▼
	1951	+ │ ┌─────────────────────────────────┐
	1952	+ │ │ build_es_math (custom_target) │ ← 智能构建协调器
	1953	+ │ │ - 执行 smart_build.cmake 脚本 │
	1954	+ │ └─────────────────────────────────┘
	1955	+ │ │
	1956	+ │ ├─> Step 1: make install_es_math (首次构建)
	1957	+ │ │ │
	1958	+ │ │ └─> install_es_math → es_math_so → generate_es_math_code
	1959	+ │ │ │ │
	1960	+ │ │ │ └─> gen_esb (生成代码)
	1961	+ │ │ │
	1962	+ │ │ └─> 编译 placeholder.cpp
	1963	+ │ │
	1964	+ │ ├─> Step 2: 检查是否生成了真实代码
	1965	+ │ │ └─> GLOB *.cpp (排除 placeholder.cpp)
	1966	+ │ │
	1967	+ │ └─> Step 3 (如果有真实代码): cmake . && make install_es_math
	1968	+ │ └─> 重新配置 + 重新编译真实源文件
	1969	+ │
	1970	+ └─> target_link_libraries(INTERFACE es_math_imported) # 链接到IMPORTED library，主进程链接时使用IMPORTED library 不可构建，因此主进程不会触发es_math_so的构建避免了主进程和子进程同时构建内部es_math_so的竞态问题
	1971	+ │
	1972	+ ▼
	1973	+ ┌────────────────────────────────────┐
	1974	+ │ es_math_so (SHARED library) │ ← 实际 .so 文件
	1975	+ │ - 产物: libes_math.so │
	1976	+ │ - 源文件: GLOB *.cpp (动态) │
	1977	+ └────────────────────────────────────┘
	1978	+ │
	1979	+ └─> add_dependencies(generate_es_math_code)
	1980	+ │
	1981	+ ▼
	1982	+ ┌──────────────────────────────────────┐
	1983	+ │ generate_es_math_code (ALL target) │
	1984	+ │ - add_custom_command 生成代码 │
	1985	+ └──────────────────────────────────────┘
	1986	+ │
	1987	+ ├─> DEPENDS: opgraph_math (原型库)
	1988	+ │
	1989	+ └─> COMMAND: bash run_gen_esb_with_lock.sh
	1990	+ │
	1991	+ └─> 执行 gen_esb (带文件锁)
	1992	+```

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Rdocs/es/es_ownership_analysis.md→docs/es/design/ownership_analysis.md+1-0

	@@ -462,3 +462,4 @@ Python 引用链:
462		462
463		463
464		464
		465	+

Adocs/es/rfc/README.md+31-0

@@ -0,0 +1,31 @@
	1	+# RFC 文档
	2	+
	3	+本目录用于存放 ES 模块的设计提案（RFC - Request for Comments）文档。
	4	+
	5	+## 什么是 RFC？
	6	+
	7	+RFC 是用于讨论和记录重要设计决策的文档格式。当需要对 ES 模块进行重大变更、新功能添加或架构改进时，应提交 RFC 文档。
	8	+
	9	+## RFC 流程
	10	+
	11	+1. 创建 RFC 文档（建议使用编号，如 `rfc-001-feature-name.md`）
	12	+2. 提交 Pull Request 进行讨论
	13	+3. 根据反馈进行修改
	14	+4. 获得批准后合并
	15	+
	16	+## 当前 RFC
	17	+
	18	+暂无 RFC 文档。
	19	+
	20	+## 如何提交 RFC
	21	+
	22	+1. 创建新的 RFC 文档
	23	+2. 包含以下内容：
	24	+ - 概述和目标
	25	+ - 详细设计
	26	+ - 实现计划
	27	+ - 影响分析
	28	+ - 替代方案
	29	+3. 提交 PR 并等待审查
	30	+
	31	+

Rdocs/es/gen_esb_readme.md→docs/es/tools/gen_esb.md+18-16

	@@ -1,24 +1,24 @@
1	# ES (Eager Style) Graph Builder Code Generator	1	# ES (Eager Style) Graph Builder Code Generator
2	-## 前置要求:	2	+## 前置要求
3	-1. 通过[安装指导](../../README.md)正确安装`toolkit`包, 并正确配置环境变量	3	+1. 通过[安装指导](../../build.md)正确安装`toolkit`包，并正确配置环境变量
4	-2. 通过[安装指导](https://gitcode.com/cann/ops-math/blob/master/docs/zh/context/quick_install.md)正确安装算子`ops`包 (ES依赖算子原型进行API生成), 并正确配置环境变量	4	+2. 通过[安装指导](../../build.md)正确安装算子`ops`包（ES 依赖算子原型进行 API 生成），并正确配置环境变量
5	## 环境变量要求	5	## 环境变量要求
6	-注: 环境变量在前置要求中已经被配置, 仅列出gen_esb所需环境变量列表	6	+注：环境变量在前置要求中已经被配置，仅列出 gen_esb 所需环境变量列表
7	- ASCEND_OPP_PATH: 指向安装目录下的opp路径	7	- ASCEND_OPP_PATH: 指向安装目录下的opp路径
8	- LD_LIBRARY_PATH: 指定动态链接库搜索路径的环境变量	8	- LD_LIBRARY_PATH: 指定动态链接库搜索路径的环境变量
9		9
10	-## 功能说明：	10	+## 功能说明
11	-### 本程序用于生成ES图构建器的C和C++,Python代码，包括：	11	+### 本程序用于生成 ES 图构建器的 C、C++、Python 代码，包括：
12	- 所有支持的算子(ops)的C接口	12	- 所有支持的算子(ops)的C接口
13	- 所有支持的算子的C++接口	13	- 所有支持的算子的C++接口
14	- 所有支持的算子的Python接口	14	- 所有支持的算子的Python接口
15	- 聚合头文件，方便用户一次性包含所有算子	15	- 聚合头文件，方便用户一次性包含所有算子
16	- 聚合Python文件，方便用户一次性导入所有算子	16	- 聚合Python文件，方便用户一次性导入所有算子
17		17
18	-## 使用方法：	18	+## 使用方法
19	### `./gen_esb [--output_dir=DIR] [--module_name=NAME] [--h_guard_prefix=PREFIX] [--exclude_ops=OP_TYPE1,OP_TYPE2]`	19	### `./gen_esb [--output_dir=DIR] [--module_name=NAME] [--h_guard_prefix=PREFIX] [--exclude_ops=OP_TYPE1,OP_TYPE2]`
20		20
21	-### 参数说明：	21	+### 参数说明
22	- --output_dir：可选参数，指定代码生成的目标目录	22	- --output_dir：可选参数，指定代码生成的目标目录
23	如果不指定，默认输出到当前目录	23	如果不指定，默认输出到当前目录
24	- --module_name：可选参数，控制聚合头文件的命名	24	- --module_name：可选参数，控制聚合头文件的命名
	@@ -29,10 +29,10 @@
29	- 如果不指定，使用默认前缀	29	- 如果不指定，使用默认前缀
30	- 指定时，拼接默认前缀	30	- 指定时，拼接默认前缀
31	- python文件不感知此参数，同名场景通过不同的路径避免冲突	31	- python文件不感知此参数，同名场景通过不同的路径避免冲突
32	-- --exclude_ops: 可选参数, 控制排除生成的算子	32	+- --exclude_ops：可选参数，控制排除生成的算子
33	- - 根据','分隔算子名	33	+ - 根据 `,` 分隔算子名
34		34
35	-### 输出文件说明：	35	+### 输出文件说明
36	- es_\<module>_ops_c.h：C接口聚合头文件	36	- es_\<module>_ops_c.h：C接口聚合头文件
37	- es_\<module>_ops.h：C++接口聚合头文件	37	- es_\<module>_ops.h：C++接口聚合头文件
38	- es_\<module>_ops.py：Python接口聚合文件	38	- es_\<module>_ops.py：Python接口聚合文件
	@@ -41,7 +41,7 @@
41	- es_<op_type>.h：单个算子的C++接口头文件	41	- es_<op_type>.h：单个算子的C++接口头文件
42	- es_<op_type>.py：单个算子的Python接口文件	42	- es_<op_type>.py：单个算子的Python接口文件
43		43
44	-## 使用示例：	44	+## 使用示例
45	### 生成到当前目录，使用默认模块名"all"，默认保护宏前缀	45	### 生成到当前目录，使用默认模块名"all"，默认保护宏前缀
46	`./gen_esb`	46	`./gen_esb`
47		47
	@@ -57,19 +57,21 @@
57	### 生成到指定目录，使用"math"模块名，自定义保护宏前缀"MY_CUSTOM"	57	### 生成到指定目录，使用"math"模块名，自定义保护宏前缀"MY_CUSTOM"
58	`./gen_esb --output_dir=./output --module_name=math --h_guard_prefix=MY_CUSTOM`	58	`./gen_esb --output_dir=./output --module_name=math --h_guard_prefix=MY_CUSTOM`
59		59
60	-### 生成到指定目录，使用"math"模块名，自定义保护宏前缀"MY_CUSTOM", 并排除Add算子生成	60	+### 生成到指定目录，使用"math"模块名，自定义保护宏前缀"MY_CUSTOM"，并排除 Add 算子生成
61	`./gen_esb --output_dir=./output --module_name=math --h_guard_prefix=MY_CUSTOM --exclude_ops=Add`	61	`./gen_esb --output_dir=./output --module_name=math --h_guard_prefix=MY_CUSTOM --exclude_ops=Add`
62		62
63	## 检查环境变量	63	## 检查环境变量
64	`echo $ASCEND_OPP_PATH`	64	`echo $ASCEND_OPP_PATH`
65		65
66	-## 注意事项：	66	+## 注意事项
67	1. 确保ASCEND_OPP_PATH环境变量已正确设置	67	1. 确保ASCEND_OPP_PATH环境变量已正确设置
68	2. 确保有足够的磁盘空间存储生成的代码文件	68	2. 确保有足够的磁盘空间存储生成的代码文件
69	3. 生成的代码文件数量取决于系统中注册的算子数量	69	3. 生成的代码文件数量取决于系统中注册的算子数量
70	4. 保护宏前缀应该以大写字母和下划线组成，避免与C++关键字冲突	70	4. 保护宏前缀应该以大写字母和下划线组成，避免与C++关键字冲突
71		71
72	-## 错误处理：	72	+## 错误处理
73	- 如果环境变量未设置，程序会提示错误并退出	73	- 如果环境变量未设置，程序会提示错误并退出
74	- 如果输出目录创建失败，会回退到当前目录	74	- 如果输出目录创建失败，会回退到当前目录
75	-- 不支持的算子会被记录在生成的代码注释中	75	+- 不支持的算子会被记录在生成的代码注释中
		76	+
		77	+

Rcmake/generate_es_package_cmake_readme.md→docs/es/tools/generate_es_package_cmake_readme.md+21-22文件内容审核中，请稍后刷新重试