SigureMo · Jan 23, 2025 · Jan 22, 2025 · SigureMo · Jan 23, 2025 · SigureMo
diff --git a/_typos.toml b/_typos.toml
@@ -113,13 +113,7 @@ Regiter = 'Regiter'
 Runing = 'Runing'
 runing = 'runing'
 setted = 'setted'
-shoule = 'shoule'
-shoud = 'shoud'
-Singal = 'Singal'
-Similiar = 'Similiar'
-simular = 'simular'
-Simle = 'Simle'
-signle = 'signle'
+
 Skiped = 'Skiped'
 skiped = 'skiped'
 smll = 'smll'

diff --git a/paddle/cinn/operator_fusion/pir_graph_analyzing/shardable_axes_base.cc b/paddle/cinn/operator_fusion/pir_graph_analyzing/shardable_axes_base.cc
@@ -196,14 +196,14 @@ ShardableAxesSignature CreateSignatureForTranspose(pir::Operation* op) {
 
   std::vector<int32_t> perm =
       GetInt32ArrayAttributeData(op->attributes().at("perm"));
-  PADDLE_ENFORCE_LE(
-      perm.size(),
-      input_axes.size(),
-      ::common::errors::PreconditionNotMet(
-          "The size of perm shoud be equal to or less than the input rank. But "
-          "received perm size is %d, input rank is %d",
-          perm.size(),
-          input_axes.size()));
+  PADDLE_ENFORCE_LE(perm.size(),
+                    input_axes.size(),
+                    ::common::errors::PreconditionNotMet(
+                        "The size of perm should be equal to or less than the "
+                        "input rank. But "
+                        "received perm size is %d, input rank is %d",
+                        perm.size(),
+                        input_axes.size()));
   std::vector<std::string> output_axes = input_axes;
   for (size_t i = 0; i < perm.size(); ++i) {
     output_axes[i] = input_axes[perm[i]];

diff --git a/paddle/fluid/inference/api/demo_ci/onnxruntime_mobilenet_demo.cc b/paddle/fluid/inference/api/demo_ci/onnxruntime_mobilenet_demo.cc
@@ -89,8 +89,8 @@ void Main() {
   PADDLE_ENFORCE_LE(fabs(max_score - 0.99981),
                     1e-4,
                     common::errors::InvalidArgument(
-                        "Required fabs(max_score - 0.99981) shoule "
-                        "be less than or euqal to 1e-4. "));
+                        "Required fabs(max_score - 0.99981) should "
+                        "be less than or equal to 1e-4. "));
 }
 
 }  // namespace demo

diff --git a/paddle/fluid/pir/dialect/operator/interface/infer_symbolic_shape/unary_infer_sym.cc b/paddle/fluid/pir/dialect/operator/interface/infer_symbolic_shape/unary_infer_sym.cc
@@ -2534,7 +2534,7 @@ bool PixelShuffleOpInferSymbolicShape(
 
   const bool channel_last = (data_format == "NHWC");
 
-  // the number of channels shoule be able to be divided by the upscale_factor
+  // the number of channels should be able to be divided by the upscale_factor
   // ^ 2.
   // TODO(Lans1ot, Buaa): add constrain for the channel number and
   // upscale_factor

diff --git a/paddle/phi/backends/xpu/xpu_context.cc b/paddle/phi/backends/xpu/xpu_context.cc
@@ -381,7 +381,7 @@ void XPUContext::CheckValidStreamId(int i) const {
   PADDLE_ENFORCE_LT(
       i,
       GetStreamNum(),
-      errors::InvalidArgument("The stream index shoule be less than the number "
+      errors::InvalidArgument("The stream index should be less than the number "
                               "of stream used (%d), but got %d",
                               GetStreamNum(),
                               i));

@@ -37,12 +37,12 @@ SpmdInfo AddNInferSpmd(
         input_ndim,
         ndim,
         common::errors::InvalidArgument("AddNInferSpmd, The all input's rank "
-                                        "shoule be the same as first input."));
+                                        "should be the same as first input."));
     PADDLE_ENFORCE_EQ(ndim,
                       input_dims_mapping.size(),
                       common::errors::InvalidArgument(
                           "AddNInferSpmd, The all input's dimmapping size "
-                          "shoule be the same as first input."));
+                          "should be the same as first input."));
     tensor_axes_to_dim_pairs.push_back(
         std::make_pair(axes, input_dims_mapping));
   }

diff --git a/paddle/phi/infermeta/ternary.cc b/paddle/phi/infermeta/ternary.cc
@@ -1863,7 +1863,8 @@ void ScatterInferMeta(const MetaTensor& x,
         index_dims[0],
         updates_dims[0],
         common::errors::InvalidArgument(
-            "The first dimension size of Input(Index) shoud be no greater than "
+            "The first dimension size of Input(Index) should be no greater "
+            "than "
             "Input(Updates), but received first dimension size of Input(Index) "
             "is %d, Input(Updates) is  %d.",
             index_dims[0],

diff --git a/paddle/phi/kernels/funcs/fused_gate_attention.h b/paddle/phi/kernels/funcs/fused_gate_attention.h
@@ -32,7 +32,7 @@ namespace phi {
 namespace funcs {
 
 template <typename T>
-__global__ void SimleScaleKernel(int64_t numel, float scale, T* inout) {
+__global__ void SimpleScaleKernel(int64_t numel, float scale, T* inout) {
   CUDA_KERNEL_LOOP_TYPE(i, numel, int64_t) {
     inout[i] = static_cast<T>(scale * static_cast<float>(inout[i]));
   }
@@ -1247,10 +1247,10 @@ class FlashAttnWithGating {
 
     auto gpu_config =
         phi::backends::gpu::GetGpuLaunchConfig1D(dev_ctx_, numel, 1);
-    SimleScaleKernel<T><<<gpu_config.block_per_grid,
-                          gpu_config.thread_per_block,
-                          0,
-                          dev_ctx_.stream()>>>(numel, scale, ptr);
+    SimpleScaleKernel<T><<<gpu_config.block_per_grid,
+                           gpu_config.thread_per_block,
+                           0,
+                           dev_ctx_.stream()>>>(numel, scale, ptr);
   }
 
   const phi::GPUContext& dev_ctx_;

diff --git a/paddle/phi/kernels/funcs/unsqueeze.h b/paddle/phi/kernels/funcs/unsqueeze.h
@@ -128,7 +128,7 @@ inline DDim GetUnsqueezeShape(const std::vector<int64_t> unsqz_dims,
     PADDLE_ENFORCE_LE(cur,
                       cur_output_rank,
                       common::errors::InvalidArgument(
-                          "The insert dimension value shoule not be larger "
+                          "The insert dimension value should not be larger "
                           "than the dimension size of input tensor"));
     // Move old axis, and insert new axis
     for (int i = cur_output_rank; i >= cur; --i) {

diff --git a/paddle/phi/kernels/fusion/onednn/fusion_gru_kernel.cc b/paddle/phi/kernels/fusion/onednn/fusion_gru_kernel.cc
@@ -579,7 +579,7 @@ void FusionGRUKernel(const Context& dev_ctx,
                               mkldnn_data_type) != mkldnn_data_type_list.end(),
                     true,
                     common::errors::InvalidArgument(
-                        "The mkldnn_data_type shoule be [float32, "
+                        "The mkldnn_data_type should be [float32, "
                         "int8, bfloat16], but found %s.",
                         mkldnn_data_type.c_str()));
   const float scale_data =

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/python/paddle/distributed/communication/scatter.py b/python/paddle/distributed/communication/scatter.py
@@ -96,7 +96,7 @@ def scatter_object_list(
 ) -> None:
     """
 
-    Scatter picklable objects from the source to all others. Similiar to scatter(), but python object can be passed in.
+    Scatter picklable objects from the source to all others. Similar to scatter(), but python object can be passed in.
 
     Args:
         out_object_list (list): The list of objects to store the scattered objects.

diff --git a/python/paddle/static/quantization/post_training_quantization.py b/python/paddle/static/quantization/post_training_quantization.py
@@ -638,7 +638,7 @@ def collect_var_name(var_name_list, persistable_var_names, op_type):
                             op._set_attr("op_namescope", "skip_quant")
 
                 op_type = op.type
-                # skip quant form simular conv1d_transpose
+                # skip quant form similar conv1d_transpose
                 if op_type == 'conv2d_transpose':
                     in_name = op.input("Filter")[0]
                     for _op in self._program.blocks[block_id].ops:

diff --git a/test/auto_parallel/pir/test_op_role.py b/test/auto_parallel/pir/test_op_role.py
@@ -32,7 +32,7 @@
 
 
 class TestOpRole(unittest.TestCase):
-    def test_signle(self):
+    def test_single(self):
         paddle.enable_static()
         with paddle.pir_utils.IrGuard():
             main_program = paddle.base.Program()

diff --git a/test/cpp/eager/data_structure_tests/autograd_meta_test.cc b/test/cpp/eager/data_structure_tests/autograd_meta_test.cc
@@ -49,7 +49,7 @@ TEST(AutogradMeta, MemberFunction) {
   VLOG(6) << "Test Grad";
   PADDLE_ENFORCE_EQ(tmp_auto->Grad().defined(),
                     false,
-                    common::errors::Fatal("grad shoule not be defined now"));
+                    common::errors::Fatal("grad should not be defined now"));
   auto* grad_t = tmp_auto->MutableGrad();
   phi::DenseTensorMeta meta =
       phi::DenseTensorMeta(phi::DataType::FLOAT32, common::make_ddim({1, 2}));

diff --git a/test/legacy_test/test_imperative_signal_handler.py b/test/legacy_test/test_imperative_signal_handler.py
@@ -36,7 +36,7 @@ def __handler__(signum, frame):
     signal.signal(signal.SIGCHLD, __handler__)
 
 
-class DygraphDataLoaderSingalHandler(unittest.TestCase):
+class DygraphDataLoaderSignalHandler(unittest.TestCase):
     def test_child_process_exit_with_error(self):
         def __test_process__():
             core._set_process_signal_handler()