[CodeStyle][Typos][D-[6-10]] Fix typo("datas","deocder","dafault","decribe","decribes") (#7612)

* fix-c19-c23

* fix-c6-c7-c24-c26

* fix-d6-d10

* fix-some-qe

Author: Ricardo-shuo-liu

_typos.toml

@@ -3,6 +3,7 @@
 extend-exclude = [
      # Skip `Accuray ` check in these files
     "docs/practices/cv/3D_image_classification_from_CT_scans.ipynb",
+
 ]
 
 [default]
@@ -23,6 +24,7 @@ Clas = "Clas"
 arange = "arange"
 unsupport = "unsupport"
 Nervana = "Nervana"
+datas = "datas"
 
 # These words need to be fixed
 Creenshot = "Creenshot"
@@ -36,11 +38,6 @@ Similarily = "Similarily"
 Simle = "Simle"
 Sovler = "Sovler"
 Successed = "Successed"
-dafault = "dafault"
-datas = "datas"
-decribe = "decribe"
-decribes = "decribes"
-deocder = "deocder"
 desgin = "desgin"
 desginated = "desginated"
 desigin = "desigin"

docs/design/concepts/tensor.md

@@ -116,12 +116,12 @@ Before writing code, please make sure you already look through Majel Source Code
 
 
 ### Memory Management
-`Allocation` manages a block of memory in device(CPU/GPU). We use `Place` to decribe memory location. The details of memory allocation and deallocation are implemented in `Allocator` and `DeAllocator`. Related low-level API such as `hl_malloc_device()` and `hl_malloc_host()` are provided by Paddle.
+`Allocation` manages a block of memory in device(CPU/GPU). We use `Place` to describe memory location. The details of memory allocation and deallocation are implemented in `Allocator` and `DeAllocator`. Related low-level API such as `hl_malloc_device()` and `hl_malloc_host()` are provided by Paddle.
 
 ### Dim and Array
 #### Dim
 
-`Dim` decribes the dimension information of an array.
+`Dim` describes the dimension information of an array.
 
 `DDimVar` is an alias of a specializd class of boost.variant class template.
 

docs/dev_guides/style_guide_and_references/error_message_writing_specification_cn.md

@@ -266,7 +266,7 @@ PADDLE_ENFORCE_EQ(
 
 ```c++
 PADDLE_ENFORCE(
-    tmp == *data_type || *data_type == dafault_data_type,
+    tmp == *data_type || *data_type == default_data_type,
     phi::errors::InvalidArgument(
         "The DataType of %s Op's duplicable Variable %s must be "
         "consistent. The current variable type is (%s), but the "

docs/guides/flags/memory_en.rst

@@ -205,7 +205,7 @@ FLAGS_initial_gpu_memory_in_mb=4096 will allocate 4 GB as initial GPU chunk.
 Note
 -------
 If you set this flag, the memory size set by FLAGS_fraction_of_gpu_memory_to_use will be overrided by this flag, PaddlePaddle will allocate the initial gpu memory with size specified by this flag.
-If you don't set this flag, the dafault value 0 will disable this GPU memory strategy. PaddlePaddle will use FLAGS_fraction_of_gpu_memory_to_use to allocate the initial GPU chunk.
+If you don't set this flag, the default value 0 will disable this GPU memory strategy. PaddlePaddle will use FLAGS_fraction_of_gpu_memory_to_use to allocate the initial GPU chunk.
 
 
 
@@ -246,7 +246,7 @@ FLAGS_reallocate_gpu_memory_in_mb=1024 will re-allocate 1 GB if run out of GPU m
 Note
 -------
 If this flag is set, the memory size set by FLAGS_fraction_of_gpu_memory_to_use will be overrided by this flag, PaddlePaddle will re-allocate the gpu memory with size specified by this flag.
-If you don't set this flag, the dafault value 0 will disable this GPU memory strategy. PaddlePaddle will use FLAGS_fraction_of_gpu_memory_to_use to re-allocate GPU memory.
+If you don't set this flag, the default value 0 will disable this GPU memory strategy. PaddlePaddle will use FLAGS_fraction_of_gpu_memory_to_use to re-allocate GPU memory.
 
 
 FLAGS_use_pinned_memory

docs/practices/nlp/transformer_in_English-to-Spanish.ipynb

@@ -1424,8 +1424,8 @@
     "        encoder_outputs = self.encoder(encoder_emb)\n",
     "\n",
     "        # 解码器\n",
-    "        deocder_emb = self.ps2(decoder_inputs)\n",
-    "        decoder_outputs = self.decoder(deocder_emb, encoder_outputs)\n",
+    "        decoder_emb = self.ps2(decoder_inputs)\n",
+    "        decoder_outputs = self.decoder(decoder_emb, encoder_outputs)\n",
     "\n",
     "        # dropout\n",
     "        out = self.drop(decoder_outputs)\n",