PaddlePaddle · luotao1 · Jan 23, 2025 · Jan 22, 2025
diff --git a/paddle/fluid/framework/ir/elementwiseadd_transpose_pass.cc b/paddle/fluid/framework/ir/elementwiseadd_transpose_pass.cc
@@ -132,7 +132,7 @@ int ElementwiseAddTransposeFusePass::ApplyEleTransPattern(
     }
     if (!reshape->Op()->HasAttr("shape")) {
       VLOG(1) << "reshape op in elementwise_add_transpose fusion do not found "
-                 "shape attr, the fusion will be stoped.";
+                 "shape attr, the fusion will be stopped.";
       return;
     }
     std::vector<int> shape_attr =
@@ -145,7 +145,7 @@ int ElementwiseAddTransposeFusePass::ApplyEleTransPattern(
                  "in elementwise_add_transpose, "
                  "currently, the elementwiseadd transpose pass only support "
                  "reshape bay shape attr rather than shape tensor."
-                 "Therefore, the fusion will be stoped.";
+                 "Therefore, the fusion will be stopped.";
       return;
     }
     if (shape_attr[3] % 8 != 0) {
@@ -154,7 +154,7 @@ int ElementwiseAddTransposeFusePass::ApplyEleTransPattern(
              "in elementwise_add_transpose, "
              "currently, the elementwiseadd transpose pass only support "
              "channel size mod 8 == 0 for khwc8 trt format"
-             "Therefore, the fusion will be stoped.";
+             "Therefore, the fusion will be stopped.";
       return;
     }
     std::unordered_set<const Node *> del_node_set;

diff --git a/paddle/fluid/framework/ir/fuse_multi_transformer_layer_pass.cc b/paddle/fluid/framework/ir/fuse_multi_transformer_layer_pass.cc
@@ -40,7 +40,7 @@ MultiTransformerLayerPattern::operator()(bool enable_int8,
 
   std::unordered_map<std::string, std::string> node_reprs;
 
-  // x0 and src_mask is unqiue input of subgraph
+  // x0 and src_mask is unique input of subgraph
   auto* x0 = pattern->NewNode(x0_repr());
   x0->assert_is_op_input(fused_multi_transformer_name, "X")->AsInput();
   auto* src_mask = pattern->NewNode(src_mask_repr());

diff --git a/paddle/fluid/framework/new_executor/standalone_executor.cc b/paddle/fluid/framework/new_executor/standalone_executor.cc
@@ -158,10 +158,10 @@ StandaloneExecutor::StandaloneExecutor(const phi::Place& place,
                           true,
                           common::errors::InvalidArgument(
                               "When using pipeline strategy in auto "
-                              "prarallelism with new executor, "
+                              "parallelism with new executor, "
                               "the backward subprogram must be built in real "
                               "static build mode, but it can not "
-                              "be staticly built in this case. You can "
+                              "be statically built in this case. You can "
                               "enable 'GLOG_v=1' to obtain log information."));
       }
     }

diff --git a/paddle/fluid/imperative/reducer.cc b/paddle/fluid/imperative/reducer.cc
@@ -792,9 +792,9 @@ void Reducer::MarkVarReady(const size_t var_index, const bool is_used_var) {
             "The sparse parameter[%d][%s] should have gradient. "
             "Currently, DataParallel does not support sparse "
             "parameters without generating gradients during training. "
-            "For example, if is_sparese=True is used in Embedding, "
+            "For example, if is_sparse=True is used in Embedding, "
             "the current step of this parameter cannot generate gradient "
-            "because of stop_gradient/detatch, where error will occur.",
+            "because of stop_gradient/detach, where error will occur.",
             var_index,
             vars_[var_index]->Name()));
     auto var_base = vars_[var_index]->GradVarBase();

diff --git a/paddle/fluid/inference/tensorrt/convert/square_op.cc b/paddle/fluid/inference/tensorrt/convert/square_op.cc
@@ -23,7 +23,7 @@ class SquareOpConverter : public OpConverter {
                   const framework::Scope& scope,
                   bool test_mode) override {
     framework::OpDesc op_desc(op, nullptr);
-    VLOG(3) << "convert a sqaure op to tensorrt layer ";
+    VLOG(3) << "convert a square op to tensorrt layer ";
     nvinfer1::ITensor* input_tensor =
         engine_->GetITensor(op_desc.Input("X")[0]);
 

diff --git a/paddle/pir/include/dialect/shape/utils/constraints_manager.h b/paddle/pir/include/dialect/shape/utils/constraints_manager.h
@@ -42,7 +42,7 @@ class IR_API ConstraintsManager {
   struct Range {
     std::int64_t min;
     std::int64_t max;
-    // TODO(Hongqing-work): Subsitute INT32_MAX with a more meaningful value.
+    // TODO(Hongqing-work): Substitute INT32_MAX with a more meaningful value.
     Range() : min(1), max(INT32_MAX) {}
     Range(int min_val, int max_val) : min(min_val), max(max_val) {}
   };

diff --git a/paddle/pir/src/core/operation.cc b/paddle/pir/src/core/operation.cc
@@ -266,7 +266,7 @@ Operation::Operation(const AttributeMap &attributes,
       id_(GenerateId()) {}
 
 ///
-/// \brief op ouput related public interfaces implementation
+/// \brief op output related public interfaces implementation
 ///
 std::vector<Value> Operation::results() const {
   std::vector<Value> res;

diff --git a/paddle/pir/src/dialect/shape/transforms/shape_optimization_pass.cc b/paddle/pir/src/dialect/shape/transforms/shape_optimization_pass.cc
@@ -190,7 +190,7 @@ void CheckInferSymWithInferMeta(
                 << " [id:" << op->id() << "] "
                 << " carefully! "
                 << "shape[" << i
-                << "] of infer_sym_shape shoule be int64_t NOT a symbol!";
+                << "] of infer_sym_shape should be int64_t NOT a symbol!";
             LOG(ERROR) << print_stream.str();
             continue;
           }

diff --git a/paddle/pir/src/dialect/shape/utils/constraints_manager.cc b/paddle/pir/src/dialect/shape/utils/constraints_manager.cc
@@ -317,12 +317,13 @@ void ConstraintsManager::SubstituteInConstraint(const DimExpr& origin,
     const DimExpr& substituted_dim_expr =
         SubstituteDimExpr(it->first, substitution_pattern);
     if (substituted_dim_expr != it->first) {
-      PADDLE_ENFORCE_EQ(substituted_dim_expr.isa<std::string>() ||
-                            substituted_dim_expr.isa<std::int64_t>(),
-                        true,
-                        common::errors::InvalidArgument(
-                            "Bounded input DimExpr can only be subsituted with "
-                            "a string or an integer."));
+      PADDLE_ENFORCE_EQ(
+          substituted_dim_expr.isa<std::string>() ||
+              substituted_dim_expr.isa<std::int64_t>(),
+          true,
+          common::errors::InvalidArgument(
+              "Bounded input DimExpr can only be substituted with "
+              "a string or an integer."));
       if (substituted_dim_expr.isa<std::int64_t>()) {
         std::int64_t substituted_value =
             substituted_dim_expr.Get<std::int64_t>();

diff --git a/python/paddle/jit/dy2static/program_translator.py b/python/paddle/jit/dy2static/program_translator.py
@@ -1059,7 +1059,7 @@ def concrete_program_specify_input_spec(
                 )
                 if cached_program_len > 1:
                     logging_utils.warn(
-                        f"Current {self._function_spec} has more than one cached programs: {cached_program_len}, the last traced progam will be return by default."
+                        f"Current {self._function_spec} has more than one cached programs: {cached_program_len}, the last traced program will be return by default."
                     )
 
                 cache_key = self._program_cache._recent_cache_key