Fix typos (#22799)

Author: tianshuo78520a

cmake/configure.cmake

@@ -48,7 +48,7 @@ if(WIN32)
   SET(CMAKE_C_RESPONSE_FILE_LINK_FLAG "@")
   SET(CMAKE_CXX_RESPONSE_FILE_LINK_FLAG "@")
 
-  # set defination for the dll export
+  # set definition for the dll export
   if (NOT MSVC)
     message(FATAL "Windows build only support msvc. Which was binded by the nvcc compiler of NVIDIA.")
   endif(NOT MSVC)

cmake/third_party.cmake

@@ -174,7 +174,7 @@ if(${CMAKE_VERSION} VERSION_GREATER "3.5.2")
     set(SHALLOW_CLONE "GIT_SHALLOW TRUE") # adds --depth=1 arg to git clone of External_Projects
 endif()
 
-########################### include third_party accoring to flags ###############################
+########################### include third_party according to flags ###############################
 include(external/zlib)      # download, build, install zlib
 include(external/gflags)    # download, build, install gflags
 include(external/glog)      # download, build, install glog

paddle/fluid/framework/ir/multi_devices_graph_pass/multi_devices_graph_pass.cc

@@ -857,7 +857,7 @@ int DistSSAGraphBuilder::CreateRPCOp(ir::Graph *result, ir::Node *node) const {
     op_dev_id = GetVarDeviceID(node->inputs[0]->Name());
     PADDLE_ENFORCE(!ir::IsControlDepVar(*node->inputs[0]),
                    "This hack no longer holds, please fix.");
-    // the variable name which contains .block means it was splited by
+    // the variable name which contains .block means it was split by
     // split_byref op
     if (strategy_.reduce_ ==
             details::BuildStrategy::ReduceStrategy::kAllReduce &&

paddle/fluid/framework/operator.cc

@@ -981,7 +981,7 @@ void OperatorWithKernel::RunImpl(const Scope& scope,
   }
 
   if (!transfered_inplace_vars.empty()) {
-    // there is inplace variable has been transfered.
+    // there is inplace variable has been transferred.
     TransferInplaceVarsBack(scope, transfered_inplace_vars, *transfer_scope);
   }
   if (FLAGS_enable_unused_var_check) {

paddle/fluid/framework/operator.h

@@ -517,7 +517,8 @@ class OperatorWithKernel : public OperatorBase {
                RuntimeContext* runtime_ctx) const;
 
   /**
-   * Transfer data from scope to a transfered scope. If there is no data need to
+   * Transfer data from scope to a transferred scope. If there is no data need
+   * to
    * be tranfered, it returns nullptr.
    *
    * * transfered_inplace_vars is a output vector.

paddle/fluid/framework/parallel_executor.cc

@@ -87,18 +87,18 @@ class ParallelExecutorPrivate {
   inline bool HasGarbageCollectors() const { return !gcs_.empty(); }
 
   /**
-   * NOTE(zengjinle): the feeded variables of users should not be reused,
-   * because users may feed them into another network. Changing the feeded
+   * NOTE(zengjinle): the fed variables of users should not be reused,
+   * because users may feed them into another network. Changing the fed
    * variables that users can visit may cause calculation wrong, which is
    * a very subtle bug when traning networks. However, these variables
    * can be garbage collected.
    *
    * ParallelExecutor provides 2 methods to feed variables:
    *
-   *  - FeedTensorsIntoLocalScopes: this method would share memory of feeded
+   *  - FeedTensorsIntoLocalScopes: this method would share memory of fed
    *                                variables, so we have to skip these.
    *
-   *  - FeedAndSplitTensorIntoLocalScopes: this method would copy data of feeded
+   *  - FeedAndSplitTensorIntoLocalScopes: this method would copy data of fed
    *                                       variables, so we do not need to skip
    *                                       them.
    */

paddle/fluid/framework/reader.h

@@ -53,10 +53,10 @@ class ReaderBase {
   // they are readers just before read op.
   std::unordered_set<ReaderBase*> GetEndPoints();
 
-  // Returns the shapes of the feeded variables
+  // Returns the shapes of the fed variables
   const std::vector<DDim>& Shapes() const { return shapes_; }
 
-  // Returns the dtypes of the feeded variables
+  // Returns the dtypes of the fed variables
   const std::vector<proto::VarType::Type>& VarTypes() const {
     return var_types_;
   }
@@ -80,13 +80,13 @@ class ReaderBase {
 
   mutable std::mutex mu_;
 
-  // The shapes of the feeded variables.
+  // The shapes of the fed variables.
   std::vector<DDim> shapes_;
 
-  // The dtypes of the feeded variables.
+  // The dtypes of the fed variables.
   std::vector<proto::VarType::Type> var_types_;
 
-  // Whether to check the shape and dtype of feeded variables.
+  // Whether to check the shape and dtype of fed variables.
   // For Backward compatibility, variables created by old API fluid.layers.data
   // doesn't check shape but fluid.data checks.
   std::vector<bool> need_check_feed_;

paddle/fluid/imperative/tests/test_prepare_op.cc

@@ -210,7 +210,7 @@ TEST(test_prepare_op, test_prepare_data_same_place) {
                                             attr_map);
   framework::RuntimeContext ctx = PrepareRuntimeContext(ins, outs);
 
-  // test if it never transfered on GPU place
+  // test if it never transferred on GPU place
   PreparedOp prepared_op = PreparedOp::Prepare(
       ins, outs, dynamic_cast<framework::OperatorWithKernel&>(*op), cpu_place,
       &attr_map);

paddle/fluid/inference/CMakeLists.txt

@@ -14,7 +14,7 @@
 #
 
 if(WITH_TESTING)
-  include(tests/test.cmake) # some generic cmake funtion for inference
+  include(tests/test.cmake) # some generic cmake function for inference
 endif()
 
 # TODO(panyx0718): Should this be called paddle_fluid_inference_api_internal?

paddle/fluid/inference/api/demo_ci/README.md

@@ -12,7 +12,7 @@ There are several demos:
     - Each line contains a single record
     - Each record's format is
     ```
-    <space splitted floats as data>\t<space splitted ints as shape>
+    <space split floats as data>\t<space split ints as shape>
     ```
 
 To build and execute the demos, simply run