[CodeStyle][Typos][D-2,F-4,F-18,F-25,I-43,O-3,O-6,O-8,S-20,T-10,T-22,U-14,W-4,W-8,W-12,W-18] Ignore 1-3 letter words to reduce false positives

_typos.toml

@@ -4,45 +4,36 @@ extend-exclude = [
     "third_party",
     "patches",
     "build",
-    "test/dataset/imikolov_test.py",
 ]
 
+[default]
+# Ignore 1-3 letter words, refer to https://github.com/crate-ci/typos/issues/1079
+extend-ignore-words-re = ["^[a-zA-Z]{1,3}$"]
+
 [default.extend-words]
 # PaddlePaddle specific words
-anc = 'anc'
 arange = "arange"
 astroid = 'astroid'
-ba = 'ba'
 cacl = 'cacl'
 CANN = 'CANN'
 Clas = 'Clas'
 clen = 'clen'
-cll = 'cll'
+datas = 'datas'
+dota = 'dota'
 dout = "dout"
 eles = 'eles'
 entrys = 'entrys'
-FUL = 'FUL'
+feeded = 'feeded'
 grad = "grad"
 Halfs = 'Halfs'
-hge = 'hge'
 kinf = 'kinf'
-kow = 'kow'
-lod = "lod"
-Nce = "Nce"
-Nd = "Nd"
-ot = 'ot'
 pash = 'pash'
-UE = "UE"
 unpacket = "unpacket"
 
 # These words need to be fixed
 Creater = 'Creater'
 creater = 'creater'
 dateset = 'dateset'
-dota = 'dota'
-Datas = 'Datas'
-DATAS = 'DATAS'
-datas = 'datas'
 delt = 'delt'
 dealed = 'dealed'
 deciamls = 'deciamls'
@@ -61,7 +52,6 @@ downsteram = 'downsteram'
 faild = 'faild'
 Flase = 'Flase'
 featue = 'featue'
-feeded = 'feeded'
 fetchs = 'fetchs'
 fileds = 'fileds'
 filterd = 'filterd'
@@ -77,7 +67,6 @@ filpped = 'filpped'
 flaot = 'flaot'
 follwed = 'follwed'
 folowing = 'folowing'
-fot = 'fot'
 formater = 'formater'
 formating = 'formating'
 foramt = 'foramt'
@@ -88,7 +77,6 @@ forwad = 'forwad'
 forword = 'forword'
 founf = 'founf'
 framwork = 'framwork'
-fre = 'fre'
 frequence = 'frequence'
 fron = 'fron'
 fullfill = 'fullfill'
@@ -151,17 +139,11 @@ invalide = 'invalide'
 iteratable = 'iteratable'
 interated = 'interated'
 Iteraion = 'Iteraion'
-IIT = 'IIT'
-iy = 'iy'
 occured = 'occured'
 Ocurred = 'Ocurred'
 occures = 'occures'
-Fo = 'Fo'
-fo = 'fo'
 offets = 'offets'
 offseted = 'offseted'
-OLT = 'OLT'
-pn = 'pn'
 Operants = 'Operants'
 operants = 'operants'
 oeprations = 'oeprations'
@@ -323,10 +305,7 @@ sequnece = 'sequnece'
 sequentail = 'sequentail'
 serailize = 'serailize'
 settting = 'settting'
-ser = 'ser'
 setted = 'setted'
-SEH = 'SEH'
-seh = 'seh'
 shoule = 'shoule'
 shoud = 'shoud'
 Singal = 'Singal'
@@ -396,14 +375,9 @@ Temperary = 'Temperary'
 tenosr = 'tenosr'
 iterm = 'iterm'
 termiante = 'termiante'
-ths = 'ths'
-thi = 'thi'
 Theoritical = 'Theoritical'
 ther = 'ther'
-thr = 'thr'
 thge = 'thge'
-Teh = 'Teh'
-tne = 'tne'
 thouse = 'thouse'
 theads = 'theads'
 thrads = 'thrads'
@@ -416,7 +390,6 @@ TOOD = 'TOOD'
 tood = 'tood'
 TDOD = 'TDOD'
 toghether = 'toghether'
-Rto = 'Rto'
 trainning = 'trainning'
 Traning = 'Traning'
 transforme = 'transforme'
@@ -460,7 +433,6 @@ unziped = 'unziped'
 udpated = 'udpated'
 upgarde = 'upgarde'
 uptream = 'uptream'
-ues = 'ues'
 unsed = 'unsed'
 uesd = 'uesd'
 usefull = 'usefull'
@@ -481,27 +453,20 @@ varn = 'varn'
 warpped = 'warpped'
 warpper = 'warpper'
 Warpper = 'Warpper'
-vas = 'vas'
 wheather = 'wheather'
 wether = 'wether'
 Wether = 'Wether'
 wieghts = 'wieghts'
 werid = 'werid'
-whe = 'whe'
 Wheter = 'Wheter'
 whther = 'whther'
 whill = 'whill'
 whos = 'whos'
-wil = 'wil'
-wll = 'wll'
 wiil = 'wiil'
 witk = 'witk'
-Wih = 'Wih'
-wih = 'wih'
 worke = 'worke'
 workround = 'workround'
 worksapce = 'worksapce'
-wrk = 'wrk'
 wrappered = 'wrappered'
 wraper = 'wraper'
 wraping = 'wraping'

paddle/fluid/framework/new_executor/instruction/tensorrt_engine_instruction.cc

@@ -434,7 +434,7 @@ void TensorRTEngineInstruction::BindInputTensor(
           "have >0 elements, but now have %d elements. "
           "It's likely that this tensor is connected to a Concat op inside "
           "a trt-subgraph, "
-          "try to ues API to forbid this op into trt-subgraph.",
+          "try to use API to forbid this op into trt-subgraph.",
           input_name,
           input_tensor.numel()));
 

paddle/fluid/operators/tensorrt/tensorrt_engine_op.h

@@ -593,7 +593,7 @@ class TensorRTEngineOp : public framework::OperatorBase {
               "have >0 elements, but now have %d elements. "
               "It's likely that this tensor is connected to a Concat op inside "
               "a trt-subgraph, "
-              "try to ues API to forbid this op into trt-subgraph.",
+              "try to use API to forbid this op into trt-subgraph.",
               x,
               t.numel()));
 

paddle/phi/core/memory/allocation/allocator_facade.cc

@@ -825,7 +825,7 @@ class AllocatorFacadePrivate {
   void InitNaiveBestFitCPUAllocator() {
 #if defined(__APPLE__) && defined(__arm64__)
     // NOTE(wuweilong): It is more efficient to use CPUAllocator directly,
-    // but it wll cause some problem in Mac OS m1 chip, so we use
+    // but it will cause some problem in Mac OS m1 chip, so we use
     // NaiveBestFitAllocator instead.
     allocators_[phi::CPUPlace()] =
         std::make_shared<NaiveBestFitAllocator>(phi::CPUPlace());

paddle/phi/kernels/funcs/blas/blas.h

@@ -42,7 +42,7 @@ namespace funcs {
  * `batch_size` times of GEMM. The batched GEMM could be faster base on the
  * implementation of the blas library. The batch size could be zero. If any
  * matrix of `matmul` has a batch size, there will be a batched GEMM, too. e.g.,
- * Mat A is [BatchSize, H1, W2], and Mat B [H2, W2], The result matrix wil be
+ * Mat A is [BatchSize, H1, W2], and Mat B [H2, W2], The result matrix will be
  * [BatchSize, H1, W2]
  *
  * The boolean flag, `trans`, describe the memory is the transpose of matrix or

python/paddle/distributed/auto_parallel/interface.py

@@ -43,7 +43,7 @@ def shard_tensor(x, process_mesh=None, shard_spec=None):
             current process mesh cannot be found. Default: None.
         shard_spec (list, optional): a list to describe the sharding mapping between `x` and `process_mesh`,
             which means the dimension `i` of `x` is split across the dimension `shard_spec[i]` of `process_mesh`,
-            where `None` means that tensor dimension is not split. For example, given a tensor wih
+            where `None` means that tensor dimension is not split. For example, given a tensor with
             the shape [6, 12] and a process mesh with the shape [2, 3] and the dimension names ["x", "y"]:
                 If `shard_spec=["x", "y"]`, each shard of the tensor will have a shape [3, 4];
                 If `shard_spec=["y", "x"]`, each shard of the tensor will have a shape [2, 6];

python/paddle/io/dataloader/dataloader_iter.py

@@ -590,7 +590,7 @@ def _try_shutdown_all(self, timeout=None):
                 self._clear_and_remove_data_queue()
 
                 # set _workers_done_event should be set before put None
-                # to indices_queue, workers wll exit on reading None from
+                # to indices_queue, workers will exit on reading None from
                 # indices_queue
                 self._workers_done_event.set()
                 for i in range(self._num_workers):