Fix ohther other (#61404)

co63oc · web-flow · commit 435df0ec870b · 2024-02-01T10:10:43.000+08:00
diff --git a/paddle/fluid/framework/data_feed.h b/paddle/fluid/framework/data_feed.h
@@ -74,7 +74,7 @@ class DenseTensor;
 namespace paddle {
 namespace framework {
 
-// DataFeed is the base virtual class for all ohther DataFeeds.
+// DataFeed is the base virtual class for all other DataFeeds.
 // It is used to read files and parse the data for subsequent trainer.
 // Example:
 //   DataFeed* reader =
diff --git a/paddle/fluid/framework/data_set.cc b/paddle/fluid/framework/data_set.cc
@@ -1008,7 +1008,7 @@ void DatasetImpl<T>::DynamicAdjustChannelNum(int channel_num,
   if (static_cast<int>(input_pv_channel_->Size()) >= channel_num) {
     input_pv_channel_->SetBlockSize(input_pv_channel_->Size() / channel_num +
                                     (discard_remaining_ins ? 0 : 1));
-    VLOG(3) << "now input_pv_channle block size is "
+    VLOG(3) << "now input_pv_channel block size is "
             << input_pv_channel_->BlockSize();
   }
 
@@ -1750,7 +1750,7 @@ void MultiSlotDataset::PreprocessChannel(
   }
   if (slots_shuffle_original_data_.empty()) {
     // before first slots shuffle, instances could be in
-    // input_channel, oupput_channel or consume_channel
+    // input_channel, output_channel or consume_channel
     if (input_channel_ && input_channel_->Size() != 0) {
       slots_shuffle_original_data_.reserve(input_channel_->Size());
       input_channel_->Close();
diff --git a/paddle/fluid/framework/data_transform.cc b/paddle/fluid/framework/data_transform.cc
@@ -167,8 +167,8 @@ phi::GetKernelTypeForVarContext BuildGetKernelTypeForVarContext(
     bool has_infer_varkernel_fn) {
   // According to "GetKernelTypeForVar" in some ops executed with oneDNN,
   // the only "string" member, such as "data_layout" 、"data_format" of
-  // AttibuteMap is useful. In the future the other args maybe used. Because the
-  // "phi" module should not depend on the "fluid", transform
+  // AttributeMap is useful. In the future the other args maybe used. Because
+  // the "phi" module should not depend on the "fluid", transform
   // "framework::AttributeMap" to "phi::AttributeMap".
   if (has_infer_varkernel_fn) {
     for (auto &attr : fluid_attrs) {
diff --git a/paddle/fluid/framework/data_type_transform.cc b/paddle/fluid/framework/data_type_transform.cc
@@ -137,7 +137,7 @@ void TransDataType(const phi::KernelKey& kernel_type_for_var,
                     kernel_type_for_var.dtype(),
                     platform::errors::InvalidArgument(
                         "The src dtype(%s) of input tensor and kernel_type(%s) "
-                        "are not conststent.",
+                        "are not consistent.",
                         DataTypeToString(in.dtype()),
                         DataTypeToString(kernel_type_for_var.dtype())));
   auto dst_type = framework::TransToProtoVarType(expected_kernel_type.dtype());
diff --git a/paddle/fluid/framework/paddle2cinn/cinn_graph_symbolization.cc b/paddle/fluid/framework/paddle2cinn/cinn_graph_symbolization.cc
@@ -138,7 +138,7 @@ CinnGraphSymbolization::CreateCinnScope(const FeedInfoMap& feed_map) {
                                    param_name.c_str()));
 
     // if cannot find var in graph input, skip.
-    // scope accepte the CINN format name, so here we need transform
+    // scope accept the CINN format name, so here we need transform
     // paddle format name to CINN format.
     auto valid_name = ::cinn::utils::TransValidVarName(param_name);
     auto* cinn_var = cinn_scope->Var<CinnTensor>(valid_name);
