[CodeStyle][Typos][D-[16-19]] Fix typo(" dimention"," dimentions","dirrectories","disucssion")

_typos.toml

@@ -36,10 +36,6 @@ Optimzier = "Optimzier"
 Setment = "Setment"
 Simle = "Simle"
 Sovler = "Sovler"
-dimention = "dimention"
-dimentions = "dimentions"
-dirrectories = "dirrectories"
-disucssion = "disucssion"
 inferface = "inferface"
 infor = "infor"
 instert = "instert"

docs/design/motivation/api.md

@@ -26,7 +26,7 @@ Some essential concepts that our API have to provide include:
 
 As a summarization
 of
-[our disucssion](https://github.com/PaddlePaddle/Paddle/issues/1315),
+[our discussion](https://github.com/PaddlePaddle/Paddle/issues/1315),
 let us present two examples here:
 
 

docs/dev_guides/custom_device_docs/custom_device_example_cn.md

@@ -285,7 +285,7 @@ add_custom_command(TARGET ${PLUGIN_NAME} POST_BUILD
     COMMAND ${CMAKE_COMMAND} -E make_directory ${CMAKE_CURRENT_BINARY_DIR}/python/
     COMMAND ${CMAKE_COMMAND} -E make_directory ${CMAKE_CURRENT_BINARY_DIR}/python/paddle-plugins/
     COMMAND ${CMAKE_COMMAND} -E copy_if_different ${CMAKE_CURRENT_BINARY_DIR}/lib${PLUGIN_NAME}.so ${CMAKE_CURRENT_BINARY_DIR}/python/paddle-plugins/
-    COMMENT "Creating plugin dirrectories------>>>"
+    COMMENT "Creating plugin directories------>>>"
 )
 
 add_custom_command(OUTPUT ${CMAKE_CURRENT_BINARY_DIR}/python/.timestamp

docs/dev_guides/custom_device_docs/custom_device_example_en.md

@@ -281,7 +281,7 @@ add_custom_command(TARGET ${PLUGIN_NAME} POST_BUILD
     COMMAND ${CMAKE_COMMAND} -E make_directory ${CMAKE_CURRENT_BINARY_DIR}/python/
     COMMAND ${CMAKE_COMMAND} -E make_directory ${CMAKE_CURRENT_BINARY_DIR}/python/paddle-plugins/
     COMMAND ${CMAKE_COMMAND} -E copy_if_different ${CMAKE_CURRENT_BINARY_DIR}/lib${PLUGIN_NAME}.so ${CMAKE_CURRENT_BINARY_DIR}/python/paddle-plugins/
-    COMMENT "Creating plugin dirrectories------>>>"
+    COMMENT "Creating plugin directories------>>>"
 )
 
 add_custom_command(OUTPUT ${CMAKE_CURRENT_BINARY_DIR}/python/.timestamp

docs/guides/beginner/tensor_en.md

@@ -514,7 +514,7 @@ Note that no copies happened while broadcasting.
 
 In PaddlePaddle, tensors are broadcastable when following rulrs hold(ref [Numpy Broadcasting](https://numpy.org/doc/stable/user/basics.broadcasting.html#module-numpy.doc.broadcasting)):
 
-1. there should be at least one dimention in each tensor
+1. there should be at least one dimension in each tensor
 2. when comparing their shapes element-wise from backward to forward, two dimensions are compatible when
    they are equal, or one of them is 1, or one of them does not exist.
 
@@ -532,10 +532,10 @@ x = paddle.ones((2, 3, 1, 5))
 y = paddle.ones((3, 4, 1))
 
 # compare from backward to forward：
-# 1st step：y's dimention is 1
-# 2nd step：x's dimention is 1
-# 3rd step：two dimentions are the same
-# 4st step：y's dimention does not exist
+# 1st step：y's dimension is 1
+# 2nd step：x's dimension is 1
+# 3rd step：two dimensions are the same
+# 4st step：y's dimension does not exist
 # So, x and y are broadcastable
 z = x + y
 print(z.shape)
@@ -544,7 +544,7 @@ print(z.shape)
 # In Compare
 x = paddle.ones((2, 3, 4))
 y = paddle.ones((2, 3, 6))
-# x and y are not broadcastable because in first step form tail, x's dimention 4 is not equal to y's dimention 6
+# x and y are not broadcastable because in first step form tail, x's dimension 4 is not equal to y's dimension 6
 # z = x, y
 # ValueError: (InvalidArgument) Broadcast dimension mismatch.
 ```

docs/guides/beginner/tensor_index_cn.md

@@ -354,7 +354,7 @@ Tensor(shape=[1, 2, 3, 4], dtype=int64, place=Place(cpu), stop_gradient=True,
           [16, 17, 18, 19],
           [20, 21, 22, 23]]]])
 
->>> b = a[:, [0,0,1], [1,2,0],:] # the new dimention is at axis 1
+>>> b = a[:, [0,0,1], [1,2,0],:] # the new dimension is at axis 1
 >>> b
 Tensor(shape=[1, 3, 4], dtype=int64, place=Place(cpu), stop_gradient=True,
        [[[4 , 5 , 6 , 7 ],
@@ -369,7 +369,7 @@ Tensor(shape=[1, 3], dtype=int64, place=Place(cpu), stop_gradient=True,
 #### 场景 2-高级索引位置不相邻
 当高级索引位置不相邻时，则`index`对应产生最终的输出结果会放到第一维上。
 ```python
->>> d = a[:, [1], :, [2,1,0]] # advanced indexes are not adjacent, the new dimention is at axis 0
+>>> d = a[:, [1], :, [2,1,0]] # advanced indexes are not adjacent, the new dimension is at axis 0
 >>> d
 Tensor(shape=[3, 1, 3], dtype=int64, place=Place(cpu), stop_gradient=True,
        [[[14, 18, 22]],