[CodeStyle][Typos][T-[1-5]] Fix typo('Tenosr','Tthe','Traning','Transfomed','Tansformer') #7574

_typos.toml

@@ -27,6 +27,10 @@ Archetecture = "Archetecture"
 Asynchoronous = "Asynchoronous"
 Attrbute = "Attrbute"
 Attribtue = "Attribtue"
+Bounary = "Bounary"
+Classification = "Classification"
+Comparison = "Comparison"
+Constructing = "Constructing"
 Classfication = "Classfication"
 Comparision = "Comparision"
 Contructing = "Contructing"
@@ -63,18 +67,36 @@ Simle = "Simle"
 Sovler = "Sovler"
 Successed = "Successed"
 Tansformer = "Tansformer"
-Tenosr = "Tenosr"
+Tensor = "Tensor"
 Traning = "Traning"
 Transfomed = "Transfomed"
-Tthe = "Tthe"
+The = "The"
 Ture = "Ture"
 accordding = "accordding"
 accoustic = "accoustic"
 accpetance = "accpetance"
+accracy = "accracy"
+acutal = "acutal"
+apporach = "apporach"
+apporaches = "apporaches"
+arguements = "arguements"
+arguemnts = "arguemnts"
+assgin = "assgin"
+assginment = "assginment"
+auxilary = "auxilary"
+avaiable = "avaiable"
+baisc = "baisc"
+basci = "basci"
+beacuse = "beacuse"
+bechmark = "bechmark"
+benckmark = "benckmark"
+boradcast = "boradcast"
+brodcast = "brodcast"
+calculate = "calculate"
 caculate = "caculate"
 cantains = "cantains"
-choosen = "choosen"
-classfication = "classfication"
+chosen = "chosen"
+classification = "classification"
 classfy = "classfy"
 cliping = "cliping"
 colunms = "colunms"
@@ -224,7 +246,7 @@ sucessor = "sucessor"
 sucessors = "sucessors"
 szie = "szie"
 tempory = "tempory"
-tenosr = "tenosr"
+tensor = "tensor"
 thier = "thier"
 traget = "traget"
 traing = "traing"

docs/api/paddle/distribution/Overview_cn.rst

@@ -35,7 +35,7 @@ paddle.distribution 目录下包含飞桨框架支持的随机变量的概率分
     " :ref:`MultivariateNormal <cn_api_paddle_distribution_MultivariateNormal>` ", "MultivariateNormal 概率分布类"
     " :ref:`Multinomial <cn_api_paddle_distribution_Multinomial>` ", "Multinomial 概率分布类"
     " :ref:`Independent <cn_api_paddle_distribution_Independent>` ", "Independent 概率分布类"
-    " :ref:`TransfomedDistribution <cn_api_paddle_distribution_TransformedDistribution>` ", "TransformedDistribution 概率分布类"
+    " :ref:`TransformedDistribution <cn_api_paddle_distribution_TransformedDistribution>` ", "TransformedDistribution 概率分布类"
     " :ref:`Laplace <cn_api_paddle_distribution_Laplace>`", "Laplace 概率分布类"
     " :ref:`LKJCholesky <cn_api_paddle_distribution_LKJCholesky>`", "LKJCholesky 概率分布类"
     " :ref:`LogNormal <cn_api_paddle_distribution_LogNormal>` ", "LogNormal 概率分布类"

docs/api/paddle/nn/BeamSearchDecoder_cn.rst

@@ -44,7 +44,7 @@ tile_beam_merge_with_batch(x, beam_size)
 
 **参数**
 
-  - **x** (Variable) - 形状为 :math:`[batch\_size, ...]` 的 tenosr。数据类型应为 float32，float64，int32，int64 或 bool。
+  - **x** (Variable) - 形状为 :math:`[batch\_size, ...]` 的 tensor。数据类型应为 float32，float64，int32，int64 或 bool。
   - **beam_size** (int) - 在 beam search 中使用的 beam 宽度。
 
 **返回**
@@ -59,7 +59,7 @@ _split_batch_beams(x)
 
 **参数**
 
-  - **x** (Variable) - 形状为 :math:`[batch\_size * beam\_size, ...]` 的 tenosr。数据类型应为 float32，float64，int32，int64 或 bool。
+  - **x** (Variable) - 形状为 :math:`[batch\_size * beam\_size, ...]` 的 tensor。数据类型应为 float32，float64，int32，int64 或 bool。
 
 **返回**
 
@@ -72,7 +72,7 @@ _merge_batch_beams(x)
 
 **参数**
 
-  - **x** (Variable) - 形状为 :math:`[batch\_size, beam_size,...]` 的 Tenosr。数据类型应为 float32，float64，int32，int64 或 bool。
+  - **x** (Variable) - 形状为 :math:`[batch\_size, beam_size,...]` 的 Tensor。数据类型应为 float32，float64，int32，int64 或 bool。
 
 **返回**
 
@@ -85,7 +85,7 @@ _expand_to_beam_size(x)
 
 **参数**
 
-  - **x** (Variable) - 形状为 :math:`[batch\_size, ...]` 的 tenosr。数据类型应为 float32，float64，int32，int64 或 bool。
+  - **x** (Variable) - 形状为 :math:`[batch\_size, ...]` 的 tensor。数据类型应为 float32，float64，int32，int64 或 bool。
 
 **返回**
 

docs/api/paddle/static/nn/sequence_pool_cn.rst

@@ -67,7 +67,7 @@ sequence_pool
 :::::::::
     - **input** (Tensor) - 类型为 Tensor 的输入序列，仅支持 lod_level 不超过 2 的 Tensor，数据类型为 float32。
     - **pool_type** (str) - 池化类型，支持 average，sum，sqrt，max，last 和 first 池化操作。
-    - **is_test** (bool，可选) - 仅在 pool_type 取值为 max 时生效。当 is_test 为 False 时，则在池化操作过程中会创建 maxIndex 临时 Tenosr，以记录最大特征值对应的索引信息，用于训练阶段的反向梯度计算。默认为 False。
+    - **is_test** (bool，可选) - 仅在 pool_type 取值为 max 时生效。当 is_test 为 False 时，则在池化操作过程中会创建 maxIndex 临时 Tensor，以记录最大特征值对应的索引信息，用于训练阶段的反向梯度计算。默认为 False。
     - **pad_value** (float，可选) - 用于填充输入序列为空时的池化结果，默认为 0.0。
 
 返回

docs/design/concurrent/select_op.md

@@ -6,7 +6,7 @@ In golang, the [**select**](https://golang.org/ref/spec#Select_statements)
 statement lets a goroutine wait on multiple communication operations at the
 same time. The **select** blocks until one of its cases can run, then
 executes the case.  If multiple cases are ready to run, then one case is
-choosen at random to be executed.
+chosen at random to be executed.
 
 With the introduction of CSP for Paddle, we mimic this behavior by
 creating a ***select_op***.

docs/design/modules/evaluator.md

@@ -16,7 +16,7 @@ Currently, every operation is expressed in the graph. We divide the evaluator pr
 
 ## Implementation
 This design is shown in the Python API.
-Each metric operator needs to caculate the metric statistic and return the batch-aware states. Python side is responsible for accumulating the states for each pass.
+Each metric operator needs to calculate the metric statistic and return the batch-aware states. Python side is responsible for accumulating the states for each pass.
 
 
 ```python
@@ -37,7 +37,7 @@ class Evaluator:
 
     def _update_ops(self, input, label, **kwargs)
        """
-       Add mini-batch evaluator caculate operators to the main_program.
+       Add mini-batch evaluator calculate operators to the main_program.
        Add increment operator to accumulate the metric states.
        """
 

docs/design/modules/python_api.md

@@ -225,7 +225,7 @@ A mechanism to reuse code between layer functions is necessary. It will be aroun
 
 
 
-### Comparision between global functions and helper class
+### Comparison between global functions and helper class
 
 The `FullyConnected` layer will be as follow when we provide global functions:
 

docs/dev_guides/git_guides/submit_pr_guide_en.md

@@ -1,6 +1,6 @@
 # Guide of submitting PR to GitHub
 
-## Tthe submit of Pull Request
+## The submit of Pull Request
 
 - Please note the number of commit: