fix typo word (#22765)

Author: tianshuo78520a

paddle/fluid/framework/data_set.h

@@ -126,7 +126,7 @@ class Dataset {
   virtual void DestroyPreLoadReaders() = 0;
   // set preload thread num
   virtual void SetPreLoadThreadNum(int thread_num) = 0;
-  // seperate train thread and dataset thread
+  // separate train thread and dataset thread
   virtual void DynamicAdjustChannelNum(int channel_num) = 0;
   virtual void DynamicAdjustReadersNum(int thread_num) = 0;
   // set fleet send sleep seconds

paddle/fluid/framework/details/build_strategy.h

@@ -132,10 +132,10 @@ struct BuildStrategy {
   // The picture is here:
   // https://github.com/PaddlePaddle/Paddle/pull/17263#discussion_r285411396
   bool use_hierarchical_allreduce_{false};
-  // Nccl ranks in a node when use hierarchical allreduce, it's setted to gpu
+  // Nccl ranks in a node when use hierarchical allreduce, it's set to gpu
   // cards' number in most cases.
   size_t hierarchical_allreduce_inter_nranks_{0};
-  // Nccl ranks bewteen nodes when use hierarchical allreduce, it's setted to
+  // Nccl ranks bewteen nodes when use hierarchical allreduce, it's set to
   // nodes number.
   size_t hierarchical_allreduce_exter_nranks_{0};
 

paddle/fluid/framework/ir/conv_elementwise_add2_act_fuse_pass.cc

@@ -33,7 +33,7 @@ namespace ir {
   GET_IR_NODE(act_op);                 \
   GET_IR_NODE(act_out);
 
-// Inherient the basic infomation from `base_desc`, and modify some fields.
+// Inherient the basic information from `base_desc`, and modify some fields.
 framework::proto::OpDesc PrepareOpDesc(
     const framework::proto::OpDesc& base_desc, const std::string& bias,
     const std::string& bias1, const std::string& activation,

paddle/fluid/framework/ir/conv_elementwise_add_act_fuse_pass.cc

@@ -31,7 +31,7 @@ namespace ir {
   GET_IR_NODE(act_op);               \
   GET_IR_NODE(act_out);
 
-// Inherient the basic infomation from `base_desc`, and modify some fields.
+// Inherient the basic information from `base_desc`, and modify some fields.
 framework::proto::OpDesc PrepareOpDesc(
     const framework::proto::OpDesc& base_desc, const std::string& bias,
     const std::string& activation, const std::string& output) {

paddle/fluid/framework/ir/fuse_optimizer_ops_pass/fuse_optimizer_op_pass.cc

@@ -382,7 +382,7 @@ const VarDesc *FuseOptimizerOpPass::GetVarDescFromVarsInfo(
     const std::string &var_name) const {
   auto grad_iter = vars_info.find(var_name);
   PADDLE_ENFORCE_EQ(grad_iter != vars_info.end(), true,
-                    "The gradient varibale %s is not found.", var_name);
+                    "The gradient variable %s is not found.", var_name);
   PADDLE_ENFORCE_EQ(!grad_iter->second.empty(), true,
                     "The gradient var node %s is not found.", var_name);
   PADDLE_ENFORCE_NOT_NULL(grad_iter->second.front()->Var(),

paddle/fluid/framework/ir/graph_pattern_detector.cc

@@ -131,7 +131,7 @@ bool GraphPatternDetector::MarkPDNodesInGraph(const ir::Graph &graph) {
 }
 
 // The intermediate Nodes can only link to the nodes inside the pattern, or this
-// subgraph will be droped.
+// subgraph will be dropped.
 void GraphPatternDetector::ValidateByNodeRole(
     std::vector<GraphPatternDetector::subgraph_t> *subgraphs) {
   std::vector<GraphPatternDetector::subgraph_t> result;

paddle/fluid/framework/ir/multi_batch_merge_pass.cc

@@ -179,7 +179,7 @@ void BatchMergePass::ApplyImpl(ir::Graph* graph) const {
         ir::Node* var = nullptr;
         auto updated_var = UpdateGradVarDesc(in_node->Var(), i, grad_names,
                                              bn_vars_need_rename);
-        // should be initialized by startup, how to initilize tensor in the
+        // should be initialized by startup, how to initialize tensor in the
         // scope?
         if (node->Name() == "batch_norm" &&
             bn_vars_need_rename.find(in_node->Name()) !=

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

@@ -1041,7 +1041,7 @@ void DistSSAGraphBuilder::InsertPostprocessOps(ir::Graph *result) const {
     // There are 4 conditions:
     // 1. GPU && Reduce: Reduce gradient then broadcast gradient to other GPUS.
     // Need to broadcast received parameters to other GPU.
-    // 2. GPU && AllReduce: AllReduce all graident to each GPU. Need to
+    // 2. GPU && AllReduce: AllReduce all gradient to each GPU. Need to
     // broadcast received parameters to other GPU.
     // 3. CPU && AllReduce: AllReduce all gradient to each thread. Need to
     // broadcast received parameters to other scope.

paddle/fluid/framework/op_desc.cc

@@ -80,7 +80,7 @@ class CompileTimeInferShapeContext : public InferShapeContext {
     PADDLE_ENFORCE_EQ(
         in_var_names.size(), out_var_names.size(),
         platform::errors::PreconditionNotMet(
-            "Op [%s]:  Input var number shoule be equal with output var number",
+            "Op [%s]:  Input var number should be equal with output var number",
             op_.Type()));
 
     for (size_t i = 0; i < in_var_names.size(); ++i) {
@@ -663,7 +663,7 @@ void OpDesc::Flush() {
 
 void OpDesc::CheckAttrs() {
   PADDLE_ENFORCE(!Type().empty(),
-                 "CheckAttr() can not be called before type is setted.");
+                 "CheckAttr() can not be called before type is set.");
   auto *checker = OpInfoMap::Instance().Get(Type()).Checker();
   if (checker == nullptr) {
     // checker is not configured. That operator could be generated by Paddle,
@@ -706,7 +706,7 @@ void OpDesc::InferShape(const BlockDesc &block) const {
 void OpDesc::InferVarType(BlockDesc *block) const {
   // There are a few places that var type can be set.
   // When VarDesc is created, default set to LOD_TENSOR.
-  // When output variable is created, default is defaut set to LOD_TENSOR.
+  // When output variable is created, default is default set to LOD_TENSOR.
   // We limit here to be the only place that operator defines its customized
   // var type inference. Hence, we don't do any "default" setting here.
   auto &info = OpInfoMap::Instance().Get(this->Type());

paddle/fluid/framework/operator.cc

@@ -648,7 +648,7 @@ class RuntimeInferShapeContext : public InferShapeContext {
     PADDLE_ENFORCE_EQ(
         in_var_list.size(), out_var_list.size(),
         platform::errors::PreconditionNotMet(
-            "Op [%s]: Input var size should be equal with ouput var size",
+            "Op [%s]: Input var size should be equal with output var size",
             op_.Type()));
 
     auto& out_var_names = op_.Outputs(out);