[CodeStyle][Typos][U-[1-5]] Fix typo(Useage,unqiue,unsupport,utill,updte)

_typos.toml

@@ -18,6 +18,7 @@ extend-ignore-re = [
 CANN = "CANN"
 Clas = "Clas"
 arange = "arange"
+unsupport = "unsupport"
 
 # These words need to be fixed
 Accuray = "Accuray"
@@ -67,7 +68,6 @@ Traning = "Traning"
 Transfomed = "Transfomed"
 Tthe = "Tthe"
 Ture = "Ture"
-Useage = "Useage"
 Wether = "Wether"
 accordding = "accordding"
 accoustic = "accoustic"
@@ -235,10 +235,6 @@ transfered = "transfered"
 trasformed = "trasformed"
 treshold = "treshold"
 trian = "trian"
-unqiue = "unqiue"
-unsupport = "unsupport"
-updte = "updte"
-utill = "utill"
 warpped = "warpped"
 wether = "wether"
 wiht = "wiht"

docs/api/gen_alias_api.py

@@ -166,7 +166,7 @@ def generator_alias_api(self):
 
 if __name__ == "__main__":
     if len(sys.argv) != 2:
-        print("Useage:")
+        print("Usage:")
         print("python3 gen_alias_api.py path-to-paddle-root")
         sys.exit(1)
     else:

docs/api/gen_doc.py

@@ -943,7 +943,7 @@ def shortest(api_info):
 
 def insert_suggested_names():
     """
-    add suggested_name field, updte the doc_filename, and sort the all_names and api_sketch_names.
+    add suggested_name field, update the doc_filename, and sort the all_names and api_sketch_names.
     """
 
     def sort_name_list(api_names):

docs/design/dist_train/distributed_architecture.md

@@ -118,7 +118,7 @@ Below are the steps that are followed :
       DataParallelism type for example, it removes the optimization operators and add a `send` OP to the
       "trainer" role, then add the optimization operators to the parameter server role within the `recv` OP.
 1. Dispatch the partitioned graph to different `RemoteExecutor` in the cluster.
-1. `RemoteExecutor` on each node run the received `ProgramDesc` utill the end.
+1. `RemoteExecutor` on each node run the received `ProgramDesc` until the end.
 
 
 ### RemoteExecutor

docs/dev_guides/custom_device_docs/ccl_api_cn.md

@@ -30,7 +30,7 @@ C_Status (*xccl_get_unique_id)(C_CCLRootId* unique_id)
 
 ### 参数
 
-unique_id - 插件需要填充的 unqiue_id 对象。
+unique_id - 插件需要填充的 unique_id 对象。
 
 ## xccl_comm_init_rank 【optional】
 

docs/guides/paddle_v3_features/sot_cn.md

@@ -16,14 +16,14 @@
 ```python
 # 一个简单的 Case 如下：
 @paddle.jit.to_static()
-def unsupport_func(x):
+def unsupported_func(x):
     x = 2 * x
     t = x.numpy() # t 依赖了 x 的值，依赖静态图的执行结果
     t = np.ones(t)
     return paddle.to_tensor(t)
 
 x = paddle.to_tensor([2])
-unsupport_func(x)  # raise error
+unsupported_func(x)  # raise error
 ```
 
 这里的 `np.ones` 因为动转静的使用，上述的 `x` 和 `t` 其实都是 `pir.Value` 类型（即 PIR 中的组网占位符），传入到 `np.ones` 中是无法获取到具体的值的，因此调用 `.numpy()` 接口时会报错。而这样的 Case 也是 AST 动转静理论上无法解决的问题，本质原因是，AST 必须要求转写的函数可以**被整图的**静态图 IR 表示。