PaddlePaddle · luotao1 · Aug 11, 2025 · Aug 10, 2025
diff --git a/paddle/fluid/operators/collective/c_embedding_op.cc b/paddle/fluid/operators/collective/c_embedding_op.cc
@@ -87,7 +87,7 @@ class CEmbeddingOpMaker : public framework::OpProtoAndCheckerMaker {
                      "and the out-of-bounds will be set to 0 ")
         .SetDefault(0);
     AddAttr<int64_t>("vocab_size",
-                     "(int64, default -1), The total vocabulary size to check"
+                     "(int64, default -1), The total vocabulary size to check "
                      "the out-of-bounds ids. If it is -1, no check will be ")
         .SetDefault(-1);
     AddComment(R"DOC(

diff --git a/paddle/fluid/operators/memcpy_d2h_op.cc b/paddle/fluid/operators/memcpy_d2h_op.cc
@@ -62,12 +62,13 @@ class MemcpyD2HOpProtoMaker : public framework::OpProtoAndCheckerMaker {
     AddOutput("Out",
               "(phi::DenseTensor) The type of output "
               "is the same as input X.");
-    AddAttr<int>("dst_place_type",
-                 "Determine the dst place of tensor copy. "
-                 "By Now it ONLY support XPU/CUDAPlace <-> CUDAPinnedPlace/CPU"
-                 "Other place type is Unimplemented and will cause ERROR."
-                 "0: dst is on CPUPlace. "
-                 "1: dst is on CUDAPinnedPlace. ");
+    AddAttr<int>(
+        "dst_place_type",
+        "Determine the dst place of tensor copy. "
+        "By Now it ONLY support XPU/CUDAPlace <-> CUDAPinnedPlace/CPU. "
+        "Other place type is Unimplemented and will cause ERROR. "
+        "0: dst is on CPUPlace. "
+        "1: dst is on CUDAPinnedPlace. ");
     AddComment(R"DOC(
     MemcpyD2H Operator.
     By now, it ONLY supports the memcopy between CUDAPlace <-> CUDAPinnedPlace/CPU.

diff --git a/paddle/fluid/operators/memcpy_h2d_op.cc b/paddle/fluid/operators/memcpy_h2d_op.cc
@@ -64,10 +64,10 @@ class MemcpyH2DOpProtoMaker : public framework::OpProtoAndCheckerMaker {
               "is the same as input X.");
     AddAttr<int>("dst_place_type",
                  "Determine the dst place of tensor copy. "
-                 "By Now it support:"
-                 "0. CUDAPinnedPlace/CPU <->CUDAPlace"
-                 "1. CPU <->XPUPlace"
-                 "2. CPU <->IPUPlace"
+                 "By Now it support: "
+                 "0. CUDAPinnedPlace/CPU <->CUDAPlace. "
+                 "1. CPU <->XPUPlace. "
+                 "2. CPU <->IPUPlace. "
                  "Other place type is Unimplemented and will cause ERROR.");
     AddComment(R"DOC(
     MemcpyD2H Operator.

diff --git a/paddle/fluid/operators/sum_op.cc b/paddle/fluid/operators/sum_op.cc
@@ -127,8 +127,8 @@ class SumOpMaker : public framework::OpProtoAndCheckerMaker {
   void Make() override {
     AddInput(
         "X",
-        "A Variable list. The shape and data type of the list elements"
-        "should be consistent. Variable can be multi-dimensional Tensor"
+        "A Variable list. The shape and data type of the list elements "
+        "should be consistent. Variable can be multi-dimensional Tensor "
         "or phi::DenseTensor, and data types can be: float32, float64, int32, "
         "int64.")
         .AsDuplicable();

diff --git a/paddle/fluid/pybind/eager.cc b/paddle/fluid/pybind/eager.cc
@@ -901,7 +901,7 @@ int TensorInit(PyObject* self, PyObject* args, PyObject* kwargs) {
       true,
       common::errors::PreconditionNotMet(
           "Could not parse args and kwargs successfully, "
-          "please check your input first and make"
+          "please check your input first and make "
           "sure you are on the right way. "
           "The expected arguments as follow: ("
           "value, place, persistable, zero_copy, "
@@ -1307,7 +1307,7 @@ int StringTensorInit(PyObject* self, PyObject* args, PyObject* kwargs) {
                     true,
                     common::errors::PreconditionNotMet(
                         "Could not parse args and kwargs successfully, "
-                        "please check your input first and make"
+                        "please check your input first and make "
                         "sure you are on the right way. "
                         "The expected arguments as follow: ("
                         "value, zero_copy, name, dims)"));

diff --git a/paddle/fluid/pybind/eager_functions.cc b/paddle/fluid/pybind/eager_functions.cc
@@ -1353,8 +1353,8 @@ static PyObject* eager_api_set_master_grads(PyObject* self,
     PADDLE_ENFORCE_NE(
         grad,
         nullptr,
-        common::errors::Fatal("Detected nullptr grad"
-                              "Please check if you have manually cleared"
+        common::errors::Fatal("Detected nullptr grad. "
+                              "Please check if you have manually cleared "
                               "the grad inside autograd_meta"));
     if (((*grad).has_allocation() || (*grad).is_dist_tensor()) &&
         ((*grad).dtype() == phi::DataType::FLOAT16 ||

diff --git a/paddle/fluid/pybind/eager_generator.cc b/paddle/fluid/pybind/eager_generator.cc
@@ -502,6 +502,7 @@ static void SlotNameMatching(
                 grad_fwd_slotname_map[grad_slot_name] != fwd_slot_name) {
               PADDLE_THROW(common::errors::Fatal(
                   "Detected mismatched slot names."
+                  "Detected mismatched slot names: "
                   "grad_slot_name %s matches both %s and %s fwd_slot_name",
                   grad_slot_name,
                   grad_fwd_slotname_map[grad_slot_name],
@@ -536,7 +537,7 @@ static void SlotNameMatching(
             if (grad_fwd_slotname_map.count(grad_slot_name) &&
                 grad_fwd_slotname_map[grad_slot_name] != fwd_slot_name) {
               PADDLE_THROW(common::errors::Fatal(
-                  "Detected mismatched slot names"
+                  "Detected mismatched slot names: "
                   "grad_slot_name %s matches both %s and %s fwd_slot_name",
                   grad_slot_name,
                   grad_fwd_slotname_map[grad_slot_name],

diff --git a/paddle/fluid/pybind/eager_method.cc b/paddle/fluid/pybind/eager_method.cc
@@ -931,8 +931,8 @@ static PyObject* tensor_clear_gradient(TensorObject* self,
     grad = egr::EagerUtils::mutable_grad(self->tensor);
     PADDLE_ENFORCE(
         grad != nullptr,
-        common::errors::Fatal("Detected nullptr grad"
-                              "Please check if you have manually cleared"
+        common::errors::Fatal("Detected nullptr grad. "
+                              "Please check if you have manually cleared "
                               "the grad inside autograd_meta"));
   } else {
     auto meta = egr::EagerUtils::unsafe_autograd_meta(self->tensor);
@@ -995,8 +995,8 @@ static PyObject* tensor__zero_grads(TensorObject* self,
     paddle::Tensor* grad = egr::EagerUtils::mutable_grad(self->tensor);
     PADDLE_ENFORCE(
         grad != nullptr,
-        common::errors::Fatal("Detected nullptr grad"
-                              "Please check if you have manually cleared"
+        common::errors::Fatal("Detected nullptr grad. "
+                              "Please check if you have manually cleared "
                               "the grad inside autograd_meta"));
     if (grad->initialized()) {
       if (grad->is_dense_tensor() || grad->is_dist_tensor()) {

diff --git a/paddle/fluid/pybind/eager_properties.cc b/paddle/fluid/pybind/eager_properties.cc
@@ -311,8 +311,8 @@ int tensor_properties_set_grad(TensorObject* self,
   paddle::Tensor* grad = egr::EagerUtils::mutable_grad(self->tensor);
   PADDLE_ENFORCE(
       grad != nullptr,
-      common::errors::Fatal("Detected NULL grad"
-                            "Please check if you have manually cleared"
+      common::errors::Fatal("Detected NULL grad. "
+                            "Please check if you have manually cleared "
                             "the grad inside autograd_meta"));
   const phi::distributed::ProcessMesh* mesh = nullptr;
   if (InputsContainDistTensor(&mesh, src, self->tensor, *grad)) {
@@ -334,8 +334,8 @@ int tensor_properties_set_grad_(TensorObject* self,
   paddle::Tensor* grad = egr::EagerUtils::mutable_grad(self->tensor);
   PADDLE_ENFORCE(
       grad != nullptr,
-      common::errors::Fatal("Detected NULL grad"
-                            "Please check if you have manually cleared"
+      common::errors::Fatal("Detected NULL grad. "
+                            "Please check if you have manually cleared "
                             "the grad inside autograd_meta"));
   *grad = src;
   return 0;

diff --git a/paddle/fluid/pybind/imperative.cc b/paddle/fluid/pybind/imperative.cc
@@ -737,7 +737,7 @@ void BindImperative(py::module *m_ptr) {
             } else {
               PADDLE_THROW(common::errors::InvalidArgument(
                   "Incompatible Place Type: supports XPUPlace, CUDAPlace, "
-                  "CPUPlace, IPUPlace, XPUPinnedPlace"
+                  "CPUPlace, IPUPlace, XPUPinnedPlace "
                   "and CUDAPinnedPlace, "
                   "but got Unknown Type!"));
             }

diff --git a/paddle/fluid/pybind/pir.cc b/paddle/fluid/pybind/pir.cc
@@ -337,7 +337,7 @@ void PruneWithInput(const std::vector<pir::Value> &input_vars,
       if (!input_vars_set.empty() && SomeInSet(op_results, input_vars_set)) {
         PADDLE_THROW(common::errors::InvalidArgument(
             "The input_var create by: '{%s}' is not involved in the "
-            "output_vars calculation"
+            "output_vars calculation. "
             "Please remove it from input_vars.",
             op->name()));
       }

diff --git a/paddle/fluid/pybind/place.cc b/paddle/fluid/pybind/place.cc
@@ -342,9 +342,9 @@ void BindPlace(pybind11::module &m) {  // NOLINT
              }
 #else
              LOG(ERROR) << string::Sprintf(
-                 "Cannot use CustomDevice because you have installed CPU/GPU"
+                 "Cannot use CustomDevice because you have installed CPU/GPU "
                  "version PaddlePaddle.\n"
-                 "If you want to use CustomDevice, please try to install"
+                 "If you want to use CustomDevice, please try to install "
                  "CustomDevice version "
                  "PaddlePaddle by: pip install paddlepaddle\n"
                  "If you only have CPU, please change "

diff --git a/paddle/fluid/pybind/pybind.cc b/paddle/fluid/pybind/pybind.cc
@@ -2596,7 +2596,7 @@ All parameter, weight, gradient are variables in Paddle.
           VLOG(1) << string::Sprintf(
               "Cannot use get_all_device_type because you have installed "
               "CPU/GPU version PaddlePaddle.\n"
-              "If you want to use get_all_device_type, please try to install"
+              "If you want to use get_all_device_type, please try to install "
               "CustomDevice version "
               "PaddlePaddle by: pip install paddlepaddle\n");
 #endif
@@ -2624,7 +2624,7 @@ All parameter, weight, gradient are variables in Paddle.
           VLOG(1) << string::Sprintf(
               "Cannot use get_available_device because you have installed "
               "CPU/GPU version PaddlePaddle.\n"
-              "If you want to use get_available_device, please try to install"
+              "If you want to use get_available_device, please try to install "
               "CustomDevice version "
               "PaddlePaddle by: pip install paddlepaddle\n");
 #endif
@@ -2639,7 +2639,7 @@ All parameter, weight, gradient are variables in Paddle.
               "Cannot use get_available_custom_device because you have "
               "installed CPU/GPU version PaddlePaddle.\n"
               "If you want to use get_available_custom_device, please try to "
-              "install"
+              "install "
               "CustomDevice version "
               "PaddlePaddle by: pip install paddlepaddle\n");
 #endif
@@ -2657,7 +2657,7 @@ All parameter, weight, gradient are variables in Paddle.
               "Cannot use get_custom_device_count because you have "
               "installed CPU/GPU version PaddlePaddle.\n"
               "If you want to use get_custom_device_count, please try to "
-              "install"
+              "install "
               "CustomDevice version "
               "PaddlePaddle by: pip install paddlepaddle\n");
 #endif

diff --git a/paddle/fluid/pybind/slice_utils.h b/paddle/fluid/pybind/slice_utils.h
@@ -529,7 +529,7 @@ static void ParseIndex(const paddle::Tensor& tensor,
             PADDLE_ENFORCE_EQ(slice_tensor.shape()[i],
                               dim_len,
                               common::errors::OutOfRange(
-                                  "The shape of boolean index %d did not match"
+                                  "The shape of boolean index %d did not match "
                                   "indexed tensor %d along axis %d.",
                                   slice_tensor.shape()[0],
                                   dim_len,

diff --git a/paddle/fluid/pybind/tensor_py.h b/paddle/fluid/pybind/tensor_py.h
@@ -512,7 +512,7 @@ void SetTensorFromPyArrayT(
     } else {
       PADDLE_THROW(common::errors::InvalidArgument(
           "Incompatible place type: Tensor.set() supports "
-          "CPUPlace, CUDAPlace"
+          "CPUPlace, CUDAPlace "
           "and CUDAPinnedPlace, but got %s!",
           place));
     }

diff --git a/paddle/phi/backends/xpu/xpu_info.cc b/paddle/phi/backends/xpu/xpu_info.cc
@@ -40,8 +40,8 @@ PHI_DEFINE_EXPORTED_string(
     "This option is useful when doing multi process training and "
     "each process have only one device (XPU). If you want to use "
     "all visible devices, set this to empty string. NOTE: the "
-    "reason of doing this is that we want to use P2P communication"
-    "between XPU devices, use XPU_VISIBLE_DEVICES can only use"
+    "reason of doing this is that we want to use P2P communication "
+    "between XPU devices, use XPU_VISIBLE_DEVICES can only use "
     "share-memory only.");
 
 namespace phi {

diff --git a/paddle/phi/core/platform/cpu_helper.cc b/paddle/phi/core/platform/cpu_helper.cc
@@ -51,7 +51,7 @@ void SetNumThreads(int num_threads) {
   return;
 #else
   PADDLE_THROW(common::errors::Unimplemented(
-      "This library (except OPENBLAS, MKLML) is not supported yet, so the"
+      "This library (except OPENBLAS, MKLML) is not supported yet, so the "
       "number of threads cannot be set."));
 #endif
 }

diff --git a/paddle/phi/core/platform/profiler.cc b/paddle/phi/core/platform/profiler.cc
@@ -625,7 +625,7 @@ void EnableProfiler(ProfilerState state) {
   PADDLE_ENFORCE_NE(state,
                     ProfilerState::kDisabled,
                     common::errors::InvalidArgument(
-                        "Can't enable profiling, since the input state is"
+                        "Can't enable profiling, since the input state is "
                         "ProfilerState::kDisabled"));
   SynchronizeAllDevice();
   std::lock_guard<std::mutex> l(profiler_mu);