[CodeStyle][Typos][S-19] Fix typo (setted,ser) (#71077)

Author: enkilee

_typos.toml

@@ -51,6 +51,3 @@ UNEXPECT = 'UNEXPECT'
 tood = 'tood'
 unpacket = "unpacket"
 vaccum = 'vaccum'
-
-# These words need to be fixed
-setted = 'setted'

paddle/fluid/framework/op_desc.h

@@ -237,7 +237,7 @@ class TEST_API OpDesc {
   // runtime_attrs_ contains the attributes which used for dispatching kernel
   // (use_mkldnn, use_cudnn, ...) or passing additional configuration for
   // special heterogeneous kernel (workspace_size_MB, ...).
-  // The attributes in runtime_attrs_ are setted by framework (such as PASS),
+  // The attributes in runtime_attrs_ are set by framework (such as PASS),
   // and not in the python api.
   AttributeMap runtime_attrs_;
 

paddle/fluid/framework/operator.h

@@ -400,7 +400,7 @@ class TEST_API OperatorBase {
   // NOTE: runtime_attrs_ contains the attributes which used for dispatching
   // kernel (use_mkldnn, use_cudnn, ...) or passing additional configuration
   // for special heterogeneous kernel (workspace_size_MB, ...).
-  // The attributes in runtime_attrs_ are setted by framework (such as PASS),
+  // The attributes in runtime_attrs_ are set by framework (such as PASS),
   // and not in the python api.
   AttributeMap runtime_attrs_;
 

paddle/fluid/inference/tensorrt/convert/emb_eltwise_layernorm.cc

@@ -94,7 +94,7 @@ class EmbEltwiseLayerNormOpConverter : public OpConverter {
           common::errors::InvalidArgument(
               "Only Precision::KHalf(fp16) is supported when inferring "
               "ernie(bert) model with config.EnableVarseqlen(). "
-              "But Precision::KFloat32 is setted."));
+              "But Precision::KFloat32 is set."));
 
       std::vector<nvinfer1::PluginField> fields;
       std::vector<std::string> temp_fields_keys;

paddle/fluid/inference/tensorrt/convert/preln_emb_eltwise_layernorm.cc

@@ -147,7 +147,7 @@ class PrelnEmbEltwiseLayerNormOpConverter : public OpConverter {
         common::errors::InvalidArgument(
             "Only Precision::KHalf(fp16) is supported when inferring "
             "ernie(bert) model with config.EnableVarseqlen(). "
-            "But Precision::KFloat32 is setted."));
+            "But Precision::KFloat32 is set."));
 
     std::vector<nvinfer1::PluginField> fields;
     std::vector<std::string> temp_fields_keys;

paddle/fluid/inference/tensorrt/convert/prompt_tuning_emb_eltwise_layernorm.cc

@@ -93,7 +93,7 @@ class PromptTuningEmbEltwiseLayerNormOpConverter : public OpConverter {
         common::errors::InvalidArgument(
             "Only Precision::KHalf(fp16) is supported when inferring "
             "ernie(bert) model with config.EnableVarseqlen(). "
-            "But Precision::KFloat32 is setted."));
+            "But Precision::KFloat32 is set."));
 
     std::vector<nvinfer1::PluginField> fields;
     std::vector<std::string> temp_fields_keys;

paddle/fluid/operators/fill_constant_op.cc

@@ -78,7 +78,7 @@ class FillConstantOp : public framework::OperatorWithKernel {
     // TODO(zyfncg) The force_cpu and place_type are conflicted, it's an issue
     // left before, and we may merge them in the future.
     // In order to invoke new fill_constant kernel, the place of OpKernelType
-    // will be setted by force_cpu and place_type here.
+    // will be set by force_cpu and place_type here.
     if (ctx.Attr<bool>("force_cpu")) {
       kt.set_backend(phi::Backend::CPU);
     }

paddle/phi/api/lib/api_gen_utils.h

@@ -181,7 +181,7 @@ CreateKernelDistOutput(std::vector<Tensor*> out,
 std::shared_ptr<phi::distributed::DistTensor> CreateKernelDistOutput(
     Tensor* out, const phi::distributed::ArgDistAttr& dist_attr);
 
-// DistTensor need to set initial dist attr after the dims setted, it is
+// DistTensor need to set initial dist attr after the dims set, it is
 // constructed based dims and current process mesh, before calling this
 // function, the out should hold correct dims
 void SetReplicatedDistAttrForOutput(

paddle/phi/api/lib/data_transform.h

@@ -58,17 +58,17 @@ class TransformFlag {
 
  private:
   // This is the highest priority in flags,
-  // and can be setted by api[data_transform->skip_transform] in the yaml file.
+  // and can be set by api[data_transform->skip_transform] in the yaml file.
   bool stop_transform_ = false;
 
-  // trans_data_type_ can be setted by api[data_transform->support_trans_dtype]
+  // trans_data_type_ can be set by api[data_transform->support_trans_dtype]
   // in the yaml file.
   // trans_data_type_ only affect the non complex types,
   // the complex is always transferred, except stop_transform_ is true.
   bool trans_data_type_ = false;
 
   // trans_backend_ and trans_layout_ are true default,
-  // and they can only be setted by global flag.
+  // and they can only be set by global flag.
   bool trans_backend_ = true;
   bool trans_layout_ = true;
 };

python/paddle/base/core.py

@@ -389,7 +389,7 @@ def to_list(s):
 
 def set_paddle_custom_device_lib_path(lib_path):
     if os.environ.get('CUSTOM_DEVICE_ROOT', None) is not None:
-        # use setted environment value
+        # use set environment value
         return
     if os.path.exists(lib_path):
         # set CUSTOM_DEVICE_ROOT default path

python/paddle/nn/layer/container.py

@@ -514,7 +514,7 @@ def append(self, parameter: Tensor) -> Self:
 class LayerList(Layer):
     """
     LayerList holds sublayers, and sublayers it contains are properly registered.
-    Holded sublayers can be indexed like a regular python list.
+    held sublayers can be indexed like a regular python list.
 
     Parameters:
         sublayers (iterable of Layer, optional): sublayers to hold

test/deprecated/tokenizer/test_faster_tokenizer_op_deprecated.py

@@ -32,10 +32,10 @@
 def to_string_tensor(string_values, name):
     """
     Create the tensor that the value holds the list of string.
-    NOTICE: The value will be holded in the cpu place.
+    NOTICE: The value will be held in the cpu place.
 
     Args:
-        string_values(list[string]): The value will be setted to the tensor.
+        string_values(list[string]): The value will be set to the tensor.
         name(string): The name of the tensor.
     """
     tensor = paddle.Tensor(
@@ -53,10 +53,10 @@ def to_map_tensor(string_dict, name):
     """
     Create the tensor that the value holds the map, the type of key is the string
     and the value is the int.
-    NOTICE: The value will be holded in the cpu place.
+    NOTICE: The value will be held in the cpu place.
 
     Args:
-        string_dict(dict): The value will be setted to the tensor.
+        string_dict(dict): The value will be set to the tensor.
         name(string): The name of the tensor.
     """
     tensor = paddle.Tensor(

tools/document_preview.sh

@@ -137,15 +137,15 @@ nbsphinx
         BCECMD_CONFIG=/opt/linux-bcecmd-0.3.0/boscmdconfig
 
         is_shell_attribute_set x
-        xdebug_setted=$?
-        if [ $xdebug_setted ] ; then
+        xdebug_set=$?
+        if [ $xdebug_set ] ; then
             set +x
         fi
         if [ -n "${BOS_CREDENTIAL_AK}" ] && [ -n "${BOS_CREDENTIAL_SK}" ] ; then
             echo "Ak = ${BOS_CREDENTIAL_AK}" >> ${BCECMD_CONFIG}/credentials
             echo "Sk = ${BOS_CREDENTIAL_SK}" >> ${BCECMD_CONFIG}/credentials
         fi
-        if [ $xdebug_setted ] ; then
+        if [ $xdebug_set ] ; then
             set -x
         fi