fix typo in error message (#22312)

paddle/fluid/operators/array_to_lod_tensor_op.cc

@@ -189,9 +189,9 @@ class ArrayToLoDTensorInferShape : public framework::InferShapeBase {
  public:
   void operator()(framework::InferShapeContext *context) const override {
     PADDLE_ENFORCE(context->HasInput("X"),
-                   "ArrayToLoDTensorOp must has input X.");
+                   "ArrayToLoDTensorOp must have input X.");
     PADDLE_ENFORCE(context->HasInput("RankTable"),
-                   "ArrayToLoDTensorOp must has input RankTable.");
+                   "ArrayToLoDTensorOp must have input RankTable.");
     // For compile-time, the first dim of input X and output Out should be -1.
     // For runtime, the first dim of output Out should be the sum of all
     // elements's first dim in input X. The output's dims will be re-computed in

paddle/fluid/operators/beam_search_decode_op.cc

@@ -191,13 +191,13 @@ class BeamSearchDecodeInferShape : public framework::InferShapeBase {
  public:
   void operator()(framework::InferShapeContext* context) const override {
     PADDLE_ENFORCE(context->HasInput("Ids"),
-                   "BeamSearchDecodeOp must has input Ids");
+                   "BeamSearchDecodeOp must have input Ids");
     PADDLE_ENFORCE(context->HasInput("Scores"),
-                   "BeamSearchDecodeOp must has input Scores");
+                   "BeamSearchDecodeOp must have input Scores");
     PADDLE_ENFORCE(context->HasOutput("SentenceIds"),
-                   "BeamSearchDecodeOp must has output SentenceIds");
+                   "BeamSearchDecodeOp must have output SentenceIds");
     PADDLE_ENFORCE(context->HasOutput("SentenceScores"),
-                   "BeamSearchDecodeOp must has output SentenceScores");
+                   "BeamSearchDecodeOp must have output SentenceScores");
   }
 };
 

paddle/fluid/operators/controlflow/compare_op.cc

@@ -80,9 +80,9 @@ class CompareOp : public framework::OperatorWithKernel {
  protected:
   void InferShape(framework::InferShapeContext* context) const override {
     OpComment comment;
-    PADDLE_ENFORCE(context->HasInput("X"), "%s operator must has input X",
+    PADDLE_ENFORCE(context->HasInput("X"), "%s operator must have input X",
                    comment.type);
-    PADDLE_ENFORCE(context->HasInput("Y"), "%s operator must has input Y",
+    PADDLE_ENFORCE(context->HasInput("Y"), "%s operator must have input Y",
                    comment.type);
     auto dim_x = context->GetInputDim("X");
     auto dim_y = context->GetInputDim("Y");

paddle/fluid/operators/distributed_ops/merge_ids_op.cc

@@ -83,12 +83,12 @@ class MergeIdsOp : public framework::OperatorWithKernel {
 
   void InferShape(framework::InferShapeContext *ctx) const override {
     PADDLE_ENFORCE(ctx->HasInputs("Ids"),
-                   "MergeIdsOp must has multi input Ids.");
+                   "MergeIdsOp must have multi input Ids.");
     PADDLE_ENFORCE(ctx->HasInputs("Rows"),
-                   "MergeIdsOp must has multi input Rows.");
-    PADDLE_ENFORCE(ctx->HasInputs("X"), "MergeIdsOp must has multi input X.");
+                   "MergeIdsOp must have multi input Rows.");
+    PADDLE_ENFORCE(ctx->HasInputs("X"), "MergeIdsOp must have multi input X.");
     PADDLE_ENFORCE(ctx->HasOutputs("Out"),
-                   "MergeIdsOp must has multi output Out.");
+                   "MergeIdsOp must have multi output Out.");
 
     auto ids_var_type = ctx->GetInputsVarType("Ids").front();
     auto ids_dims = ctx->GetInputsDim("Ids");

paddle/fluid/operators/distributed_ops/split_ids_op.cc

@@ -52,8 +52,8 @@ class SplitIdsOp : public framework::OperatorWithKernel {
   using framework::OperatorWithKernel::OperatorWithKernel;
 
   void InferShape(framework::InferShapeContext *ctx) const override {
-    PADDLE_ENFORCE(ctx->HasInputs("Ids"), "SplitIdsOp must has input Ids.");
-    PADDLE_ENFORCE(ctx->HasOutputs("Out"), "SplitIdsOp must has output Out.");
+    PADDLE_ENFORCE(ctx->HasInputs("Ids"), "SplitIdsOp must have input Ids.");
+    PADDLE_ENFORCE(ctx->HasOutputs("Out"), "SplitIdsOp must have output Out.");
 
     auto ids_var_type = ctx->GetInputsVarType("Ids").front();
     auto ids_dims = ctx->GetInputsDim("Ids");

paddle/fluid/operators/get_tensor_from_selected_rows_op.cc

@@ -24,9 +24,9 @@ class GetTensorFromSelectedRowsOp : public framework::OperatorWithKernel {
 
   void InferShape(framework::InferShapeContext *ctx) const override {
     PADDLE_ENFORCE(ctx->HasInput("X"),
-                   "GetTensorFromSelectedRowsOp must has input X.");
+                   "GetTensorFromSelectedRowsOp must have input X.");
     PADDLE_ENFORCE(ctx->HasOutput("Out"),
-                   "GetTensorFromSelectedRowsOp must has output Out.");
+                   "GetTensorFromSelectedRowsOp must have output Out.");
     PADDLE_ENFORCE(
         ctx->GetInputsVarType("X").front() ==
             framework::proto::VarType::SELECTED_ROWS,

paddle/fluid/operators/lod_rank_table_op.cc

@@ -58,7 +58,7 @@ output operators.
 class LoDRankTableInferShape : public framework::InferShapeBase {
  public:
   void operator()(framework::InferShapeContext *context) const override {
-    PADDLE_ENFORCE(context->HasInput("X"), "LoDRankTable must has input X");
+    PADDLE_ENFORCE(context->HasInput("X"), "LoDRankTable must have input X");
   }
 };
 

paddle/fluid/operators/merge_lod_tensor_op.cc

@@ -179,15 +179,15 @@ class MergeLoDTensorInferShape : public framework::InferShapeBase {
  public:
   void operator()(framework::InferShapeContext *context) const override {
     PADDLE_ENFORCE(context->HasInput("X"),
-                   "MergeLoDTensorOp must has input X.");
+                   "MergeLoDTensorOp must have input X.");
     PADDLE_ENFORCE(context->HasInput("Mask"),
-                   "MergeLoDTensorOp must has input Mask.");
+                   "MergeLoDTensorOp must have input Mask.");
     PADDLE_ENFORCE(context->HasInput("InTrue"),
-                   "MergeLoDTensorOp must has input InTrue.");
+                   "MergeLoDTensorOp must have input InTrue.");
     PADDLE_ENFORCE(context->HasInput("InFalse"),
-                   "MergeLoDTensorOp must has input InFalse.");
+                   "MergeLoDTensorOp must have input InFalse.");
     PADDLE_ENFORCE(context->HasOutput("Out"),
-                   "MergeLoDTensorOp must has output Out");
+                   "MergeLoDTensorOp must have output Out");
 
     auto mask_dim = context->GetInputDim("Mask");
     PADDLE_ENFORCE_EQ(mask_dim.size(), 2,

paddle/fluid/operators/split_lod_tensor_op.cc

@@ -147,13 +147,13 @@ class SplitLoDTensorInferShape : public framework::InferShapeBase {
  public:
   void operator()(framework::InferShapeContext *context) const override {
     PADDLE_ENFORCE(context->HasInput("X"),
-                   "SplitLoDTensorOp must has input X.");
+                   "SplitLoDTensorOp must have input X.");
     PADDLE_ENFORCE(context->HasInput("Mask"),
-                   "SplitLoDTensorOp must has input Mask.");
+                   "SplitLoDTensorOp must have input Mask.");
     PADDLE_ENFORCE(context->HasOutput("OutTrue"),
-                   "SplitLoDTensorOp must has output OutTrue.");
+                   "SplitLoDTensorOp must have output OutTrue.");
     PADDLE_ENFORCE(context->HasOutput("OutFalse"),
-                   "SplitLoDTensorOp must has output OutFalse.");
+                   "SplitLoDTensorOp must have output OutFalse.");
 
     auto mask_dim = context->GetInputDim("Mask");
     PADDLE_ENFORCE_EQ(mask_dim.size(), 2,

paddle/fluid/operators/split_selected_rows_op.cc

@@ -54,9 +54,10 @@ class SplitSelectedRowsOp : public framework::OperatorWithKernel {
   using framework::OperatorWithKernel::OperatorWithKernel;
 
   void InferShape(framework::InferShapeContext *ctx) const override {
-    PADDLE_ENFORCE(ctx->HasInput("X"), "SplitSelectedRowsOp must has input X.");
+    PADDLE_ENFORCE(ctx->HasInput("X"),
+                   "SplitSelectedRowsOp must have input X.");
     PADDLE_ENFORCE(ctx->HasOutputs("Out"),
-                   "SplitSelectedRowsOp must has output Out.");
+                   "SplitSelectedRowsOp must have output Out.");
   }
 };
 

python/paddle/fluid/backward.py

@@ -1057,7 +1057,7 @@ def append_backward(loss,
                                                be invoked once each time a
                                                new gradient operator is added
                                                into the program. The callable
-                                               object must has two input
+                                               object must have two input
                                                parameters: 'block' and 'context'.
                                                The 'block' is the :ref:`api_guide_Block_en` which
                                                the new gradient operator will

python/paddle/fluid/evaluator.py

@@ -224,7 +224,7 @@ class EditDistance(Evaluator):
 
     Args:
         input: the sequences predicted by network.
-        label: the target sequences which must has same sequence count
+        label: the target sequences which must have same sequence count
         with input.
         ignored_tokens(list of int): Tokens that should be removed before
         calculating edit distance.