PaddlePaddle · luotao1 · Feb 6, 2025 · Jan 30, 2025
@@ -334,7 +334,7 @@ option(WITH_POCKETFFT "Compile with pocketfft support" ON)
 option(WITH_RECORD_BUILDTIME
        "Compile PaddlePaddle with record all targets build time" OFF)
 option(WITH_CUSTOM_DEVICE "Compile with custom device support" OFF)
-option(WITH_ARM_BRPC "Supprot Brpc in Arm" OFF)
+option(WITH_ARM_BRPC "Support Brpc in Arm" OFF)
 option(WITH_FLPS "FL PS mode" OFF)
 option(WITH_RPC "Compile with rpc support" ${WITH_DISTRIBUTE})
 option(WITH_CUDNN_FRONTEND

@@ -111,18 +111,4 @@ substitude = 'substitude'
 substitue = 'substitue'
 Subsitute = 'Subsitute'
 Substitude = 'Substitude'
-substract = 'substract'
-Substract = 'Substract'
-successed = 'successed'
-sucessfully = 'sucessfully'
-Succeess = 'Succeess'
-Suger = 'Suger'
-supportted = 'supportted'
-supoort = 'supoort'
-Supprot = 'Supprot'
-suport = 'suport'
-suppport = 'suppport'
-SWTICH = 'SWTICH'
-Swith = 'Swith'
-sysyem = 'sysyem'
 UNSUPPORT = 'UNSUPPORT'
diff --git a/paddle/fluid/distributed/ps/table/ssd_sparse_table.cc b/paddle/fluid/distributed/ps/table/ssd_sparse_table.cc
@@ -3040,7 +3040,7 @@ int32_t SSDSparseTable::LoadWithBinary(const std::string& path, int param) {
   _db->get_estimate_key_num(ssd_key_num);
   _cache_tk_size =
       (LocalSize() + ssd_key_num) * _config.sparse_table_cache_rate();
-  VLOG(0) << " Load Binary Succeess. all feasign: " << feasign_size_all;
+  VLOG(0) << " Load Binary Success. all feasign: " << feasign_size_all;
   return 0;
 }
 

diff --git a/paddle/fluid/framework/data_feed.cu b/paddle/fluid/framework/data_feed.cu
@@ -3168,7 +3168,7 @@ int FillWalkBuf(const std::vector<uint64_t> &h_device_keys_len,
       if (FLAGS_enable_graph_multi_node_sampling) {
         if (sample_flag == EVENT_CONTINUE_SAMPLE) {
           // Switching only occurs when multi machine sampling continues
-          switch_flag = EVENT_SWTICH_METAPATH;
+          switch_flag = EVENT_SWITCH_METAPATH;
         }
       } else {
         cursor += 1;

diff --git a/paddle/fluid/framework/data_feed.h b/paddle/fluid/framework/data_feed.h
@@ -943,7 +943,7 @@ const int EVENT_FINISH_EPOCH = 0;     // End of sampling single epoch
 const int EVENT_CONTINUE_SAMPLE = 1;  // Continue sampling
 const int EVENT_WALKBUF_FULL = 2;  // d_walk is full, end current pass sampling
 const int EVENT_NOT_SWITCH = 0;    // Continue sampling on the current metapath.
-const int EVENT_SWTICH_METAPATH =
+const int EVENT_SWITCH_METAPATH =
     1;  // Switch to the next metapath to perform sampling
 
 struct GraphDataGeneratorConfig {

diff --git a/paddle/fluid/platform/init.cc b/paddle/fluid/platform/init.cc
@@ -81,7 +81,7 @@ std::once_flag glog_init_flag;
 std::once_flag memory_method_init_flag;
 
 bool InitGflags(std::vector<std::string> args) {
-  bool successed = false;
+  bool succeeded = false;
   std::call_once(gflags_init_flag, [&]() {
     FLAGS_logtostderr = true;
     // NOTE(zhiqiu): dummy is needed, since the function
@@ -104,11 +104,11 @@ bool InitGflags(std::vector<std::string> args) {
     char **arr = argv.data();
     paddle::flags::AllowUndefinedFlags();
     paddle::flags::ParseCommandLineFlags(&argc, &arr);
-    successed = true;
+    succeeded = true;
 
     VLOG(1) << "After Parse: argc is " << argc;
   });
-  return successed;
+  return succeeded;
 }
 
 #ifdef PADDLE_WITH_CUDA

diff --git a/paddle/phi/api/generator/api_gen.py b/paddle/phi/api/generator/api_gen.py
@@ -523,7 +523,7 @@ def generate_api(
         if is_fused_ops_yaml is True
         else "paddle/phi/api/include/api.h"
     )
-    # not all fused ops supoort dygraph
+    # not all fused ops support dygraph
     if is_fused_ops_yaml is True:
         new_apis = [
             api

diff --git a/paddle/phi/kernels/funcs/blas/blas_impl.hip.h b/paddle/phi/kernels/funcs/blas/blas_impl.hip.h
@@ -62,7 +62,7 @@ struct CUBlas<float> {
         phi::dynload::rocblas_sgemm_strided_batched(args...));
   }
 
-  // HIP not supportted, refer to the doc here:
+  // HIP not supported, refer to the doc here:
   // https://github.com/ROCm-Developer-Tools/HIP/blob/roc-3.5.x/docs/markdown/CUBLAS_API_supported_by_HIP.md
   template <typename... ARGS>
   static void GEMM_EX(ARGS... args) {

diff --git a/paddle/phi/kernels/funcs/detail/avx_mathfun.h b/paddle/phi/kernels/funcs/detail/avx_mathfun.h
@@ -279,7 +279,7 @@ v8sf exp256_ps(v8sf x) {
 
   tmp = _mm256_floor_ps(fx);
 
-  /* if greater, substract 1 */
+  /* if greater, subtract 1 */
   // v8sf mask = _mm256_cmpgt_ps(tmp, fx);
   v8sf mask = _mm256_cmp_ps(tmp, fx, _CMP_GT_OS);
   mask = _mm256_and_ps(mask, one);

diff --git a/paddle/phi/kernels/funcs/emb_eltwise_layer_norm_functor.cu b/paddle/phi/kernels/funcs/emb_eltwise_layer_norm_functor.cu
@@ -200,7 +200,7 @@ void EmbEltwiseLayerNormFunctor<T>::operator()(int batch,
 
 template class EmbEltwiseLayerNormFunctor<float>;
 
-// device function 'operator()' is not supportted until cuda 10.0
+// device function 'operator()' is not supported until cuda 10.0
 // HIP defined __HIP_NO_HALF_CONVERSIONS__ in hip.cmake
 #if defined(PADDLE_WITH_CUDA) && CUDA_VERSION >= 10000
 template class EmbEltwiseLayerNormFunctor<half>;

diff --git a/paddle/phi/kernels/funcs/jit/gen/act.h b/paddle/phi/kernels/funcs/jit/gen/act.h
@@ -111,7 +111,7 @@ class VActFunc : public JitCode {
     vmovaps(jmm_tmp, ptr[reg_ptr_global + OFFSET_EXP_0P5]);
     vaddps(jmm_fx, jmm_fx, jmm_tmp);
     vroundps(jmm_fy, jmm_fx, 0x01);
-    // if greater, substract 1
+    // if greater, subtract 1
     vcmpgtps(jmm_mask, jmm_fy, jmm_fx);
     vmovaps(jmm_tmp, ptr[reg_ptr_global]);
     vandps(jmm_mask, jmm_mask, jmm_tmp);

diff --git a/paddle/phi/kernels/funcs/math/bert_encoder_functor.cu b/paddle/phi/kernels/funcs/math/bert_encoder_functor.cu
@@ -414,7 +414,7 @@ void SkipLayerNormFunctor<T>::operator()(const int num,
 
 template class SkipLayerNormFunctor<float>;
 
-// device function 'operator()' is not supportted until cuda 10.0
+// device function 'operator()' is not supported until cuda 10.0
 // HIP defined __HIP_NO_HALF_CONVERSIONS__ in hip.cmake
 #if defined(PADDLE_WITH_CUDA) && CUDA_VERSION >= 10000
 template class SkipLayerNormFunctor<half>;

diff --git a/paddle/phi/kernels/funcs/multihead_matmul_functor.cu b/paddle/phi/kernels/funcs/multihead_matmul_functor.cu
@@ -735,7 +735,7 @@ void MultiheadGPUComputeFunctor<T>::operator()(const phi::GPUContext &dev_ctx,
 
 template class MultiheadGPUComputeFunctor<float>;
 
-// device function 'operator()' is not supportted until cuda 10.0
+// device function 'operator()' is not supported until cuda 10.0
 // HIP defined __HIP_NO_HALF_CONVERSIONS__ in hip.cmake
 #if defined(PADDLE_WITH_CUDA) && CUDA_VERSION >= 10000
 template class MultiheadGPUComputeFunctor<half>;

diff --git a/paddle/phi/kernels/funcs/skip_layernorm_functor.cu b/paddle/phi/kernels/funcs/skip_layernorm_functor.cu
@@ -403,7 +403,7 @@ void SkipLayerNormFunctor<T>::operator()(const int num,
 
 template class SkipLayerNormFunctor<float>;
 
-// device function 'operator()' is not supportted until cuda 10.0
+// device function 'operator()' is not supported until cuda 10.0
 // HIP defined __HIP_NO_HALF_CONVERSIONS__ in hip.cmake
 #if defined(PADDLE_WITH_CUDA) && CUDA_VERSION >= 10000
 template class SkipLayerNormFunctor<half>;

diff --git a/paddle/phi/kernels/gpu/check_numerics_kernel.cu b/paddle/phi/kernels/gpu/check_numerics_kernel.cu
@@ -313,7 +313,7 @@ static char* GetGpuHintStringPtr(const phi::GPUContext& ctx,
       PADDLE_ENFORCE_EQ(iter != op_var2gpu_str.end(),
                         true,
                         common::errors::PreconditionNotMet(
-                            "op_var=%s should successed insert into "
+                            "op_var=%s should be successfully insert into "
                             "op_var2gpu_str, but now failed",
                             op_var));
 

diff --git a/paddle/phi/kernels/gpudnn/conv_grad_kernel.cu b/paddle/phi/kernels/gpudnn/conv_grad_kernel.cu
@@ -1198,7 +1198,7 @@ void ConvCudnnGradGradKernel(
   ScalingParamType<T> alpha = 1.0f;
   ScalingParamType<T> beta = 0.0f;
 
-  // NOTE(zhiqiu): inplace addto is not supportted in double grad yet.
+  // NOTE(zhiqiu): inplace addto is not supported in double grad yet.
   // ScalingParamType<T> beta = ctx.Attr<bool>("use_addto") ? 1.0f :
   // 0.0f;
   // VLOG(4) << "Conv_grad_grad: use_addto = " << ctx.Attr<bool>("use_addto");

diff --git a/paddle/phi/kernels/gpudnn/conv_kernel.cu b/paddle/phi/kernels/gpudnn/conv_kernel.cu
@@ -176,7 +176,7 @@ void ConvCudnnKernelImplV7(const DenseTensor* transformed_input,
   ScalingParamType<T> alpha = 1.0f;
   ScalingParamType<T> beta = 0.0f;
 
-  // NOTE(zhiqiu): inplace addto is not supportted in double grad yet.
+  // NOTE(zhiqiu): inplace addto is not supported in double grad yet.
   // ScalingParamType<T> beta = ctx.Attr<bool>("use_addto") ? 1.0f : 0.0f;
   // VLOG(4) << "Conv: use_addto = " << ctx.Attr<bool>("use_addto");
 

diff --git a/python/paddle/incubate/jit/inference_decorator.py b/python/paddle/incubate/jit/inference_decorator.py
@@ -339,7 +339,7 @@ def forward(self, args):
                 )
                 f.write(line)
         print(
-            f"the {func.__name__} function is sucessfully saved to {self.save_path}.pdmodel"
+            f"the {func.__name__} function is successfully saved to {self.save_path}.pdmodel"
         )
         sys.stdout.flush()
 

diff --git a/python/paddle/tensorrt/impls/math.py b/python/paddle/tensorrt/impls/math.py
@@ -157,7 +157,7 @@ def divide_converter(network, paddle_op, inputs):
 
 
 @converter_registry.register("pd_op.subtract", trt_version="trt_version_ge=8.0")
-def substract_converter(network, paddle_op, inputs):
+def subtract_converter(network, paddle_op, inputs):
     return add_elementwise_layer(
         network, paddle_op, inputs, trt.ElementWiseOperation.SUB
     )

diff --git a/python/paddle/utils/download.py b/python/paddle/utils/download.py
@@ -268,7 +268,7 @@ def _decompress(fname):
 
     # For protecting decompressing interrupted,
     # decompress to fpath_tmp directory firstly, if decompress
-    # successed, move decompress files to fpath and delete
+    # succeeded, move decompress files to fpath and delete
     # fpath_tmp and remove download compress file.
 
     if tarfile.is_tarfile(fname):

@@ -359,7 +359,7 @@ def decorator(fn):
     return decorator
 
 
-# Suger decorators
+# Sugar decorators
 # These decorators can be simply composed by base decorators
 def test_ast_only(fn):
     fn = set_to_static_mode(ToStaticMode.AST)(fn)

diff --git a/test/legacy_test/hygon_dcu/test_hygon_llama_op.sh b/test/legacy_test/hygon_dcu/test_hygon_llama_op.sh
@@ -81,7 +81,7 @@ c_tests=(
     "test_squeeze2_op"
     # stack
     "test_stack_op"
-    # substract
+    # subtract
     "test_subtract_op"
     # transpose, transpose_grad
     "test_transpose_op"

diff --git a/test/legacy_test/test_dygraph_mnist_fp16.py b/test/legacy_test/test_dygraph_mnist_fp16.py
@@ -129,7 +129,7 @@ def func_mnist_fp16(self):
             x = paddle.to_tensor(x)
             y = paddle.to_tensor(y)
 
-            # using amp.auto_cast because paddle.nn.Conv2D doesn't suppport setting dtype
+            # using amp.auto_cast because paddle.nn.Conv2D doesn't support setting dtype
             with paddle.amp.auto_cast(dtype='float16'):
                 loss = model(x, y)
             print(loss.numpy())

diff --git a/test/tensorrt/test_converter_math.py b/test/tensorrt/test_converter_math.py
@@ -68,7 +68,7 @@ def test_trt_result(self):
         self.check_trt_result()
 
 
-class TestSubstractTRTPattern(TensorRTBaseTest):
+class TestSubtractTRTPattern(TensorRTBaseTest):
     def setUp(self):
         self.python_api = paddle.subtract
         self.api_args = {