fix

CMakeLists.txt

@@ -711,7 +711,7 @@ set(CMAKE_C_FLAGS_RELWITHDEBINFO "-O3 -g -DNDEBUG")
 add_definitions(-DPADDLE_DLL_EXPORT)
 
 if(ON_INFER)
-  # you can trun off the paddle fluid and inference lib by set ON_INFER=OFF
+  # you can turn off the paddle fluid and inference lib by set ON_INFER=OFF
   message(
     STATUS "On inference mode, will take place some specific optimization.")
   include(inference_lib)

_typos.toml

@@ -140,13 +140,6 @@ suppport = 'suppport'
 SWTICH = 'SWTICH'
 Swith = 'Swith'
 sysyem = 'sysyem'
-Tring = 'Tring'
-tring = 'tring'
-tunning = 'tunning'
-TYPLE = 'TYPLE'
-trun = 'trun'
-tyep = 'tyep'
-tpye = 'tpye'
 unsupport = 'unsupport'
 upsupported = 'upsupported'
 Unsupport = 'Unsupport'

paddle/cinn/hlir/dialect/operator/transforms/type_adt_type_id.cc

@@ -30,7 +30,7 @@ TypeAdtTypeId GetTypeAdtTypeId(const pir::Type& type) {
   }
 #define RETURN_TYPE_TYPE_ID_IF_MATCH(cls) \
   if (type.isa<cls>()) return ::common::AdtTypeId<cls>{};
-  FOR_EACH_PIR_ALTERNATIVE_TYPLE(RETURN_TYPE_TYPE_ID_IF_MATCH)
+  FOR_EACH_PIR_ALTERNATIVE_TYPE(RETURN_TYPE_TYPE_ID_IF_MATCH)
 #undef RETURN_TYPE_TYPE_ID_IF_MATCH
   return ::common::AdtTypeId<UnclassifiedType>{};
 }

paddle/cinn/hlir/dialect/operator/transforms/type_adt_type_id.h

@@ -46,7 +46,7 @@ class SparseCsrTensorType;
 }  // namespace paddle::dialect
 
 // clang-format off
-#define FOR_EACH_PIR_ALTERNATIVE_TYPLE(__macro)     \
+#define FOR_EACH_PIR_ALTERNATIVE_TYPE(__macro)     \
   __macro(::pir::VectorType)                        \
   __macro(::pir::DenseTensorType)                   \
   __macro(::pir::BFloat16Type)                      \
@@ -76,7 +76,7 @@ class UnclassifiedType;
 using TypeAdtTypeIdBase =
     ::common::AdtBaseTypeId<NullType,
 #define MAKE_TYPE_ADT_TYPE_ID_ALTERNATIVE(cls) cls,
-                            FOR_EACH_PIR_ALTERNATIVE_TYPLE(
+                            FOR_EACH_PIR_ALTERNATIVE_TYPE(
                                 MAKE_TYPE_ADT_TYPE_ID_ALTERNATIVE)
 #undef MAKE_TYPE_ADT_TYPE_ID_ALTERNATIVE
                                 UnclassifiedType>;

paddle/cinn/ir/schedule/impl/loop_transformation.cc

@@ -357,7 +357,7 @@ Expr DyScheduleImpl::Fuse(const std::vector<Expr>& loops) {
   std::string primitive = "Fuse";
   std::ostringstream os;
 
-  VLOG(3) << "Tring to fuse:\n" << loops[0];
+  VLOG(3) << "Trying to fuse:\n" << loops[0];
   std::vector<const ir::For*> for_nodes;
   std::vector<Var> loop_vars;
 

paddle/fluid/eager/utils.cc

@@ -292,7 +292,7 @@ std::vector<std::shared_ptr<egr::EagerVariable>> EagerUtils::TrySyncToVars(
         tensor,
         common::errors::Fatal(
             "Tensor is null and cannot be copied. "
-            "We are tring to TrySyncToVars tensor from its "
+            "We are trying to TrySyncToVars tensor from its "
             "shared_ptr, this error may indicate some outputs "
             "are nullptr"));
     res.emplace_back(TrySyncToVar(*tensor));
@@ -420,7 +420,7 @@ std::vector<paddle::Tensor> EagerUtils::GetOutputs(
         out.get(),
         common::errors::Fatal(
             "Eager Tensor %s is null and cannot be copied. "
-            "We are tring to Get Output tensor from its "
+            "We are trying to Get Output tensor from its "
             "shared_ptr, this error may indicate some outputs "
             "are nullptr",
             out->name()));
@@ -435,7 +435,7 @@ paddle::Tensor EagerUtils::GetOutput(
       out.get(),
       common::errors::Fatal(
           "Eager Tensor %s is null and cannot be copied. We "
-          "are tring to Get Output tensor from its shared_ptr, "
+          "are trying to Get Output tensor from its shared_ptr, "
           "this error may indicate output is nullptr",
           out->name()));
   return paddle::Tensor(out->GetTensorBase(), out->name());
@@ -446,7 +446,7 @@ void EagerUtils::GetOutput(const std::shared_ptr<EagerVariable>& out,
   PADDLE_ENFORCE_NOT_NULL(
       out_var,
       common::errors::Fatal("Tensor is null and cannot be copied. "
-                            "We are tring to OverwriteOutput from its "
+                            "We are trying to OverwriteOutput from its "
                             "shared_ptr, this error may indicate some outputs "
                             "are nullptr"));
   out_var->set_impl(out->GetTensorBase());
@@ -469,7 +469,7 @@ void EagerUtils::GetOutputs(
         out_var[i],
         common::errors::Fatal(
             "Tensor is null and cannot be copied. "
-            "We are tring to OverwriteOutput from its "
+            "We are trying to OverwriteOutput from its "
             "shared_ptr, this error may indicate some outputs "
             "are nullptr"));
     out_var[i]->set_impl(outs[i]->GetTensorBase());
@@ -486,7 +486,7 @@ void EagerUtils::GetOutputs(const std::shared_ptr<EagerVariable>& out,
   PADDLE_ENFORCE_NOT_NULL(
       out_var[0],
       common::errors::Fatal("Tensor is null and cannot be copied. "
-                            "We are tring to OverwriteOutput from its "
+                            "We are trying to OverwriteOutput from its "
                             "shared_ptr, this error may indicate some outputs "
                             "are nullptr"));
   out_var[0]->set_impl(out->GetTensorBase());

paddle/fluid/inference/tensorrt/plugin/preln_residual_bias_plugin.cu

@@ -722,7 +722,7 @@ bool PIRPrelnResidualBiasPluginDynamic::supportsFormatCombination(
   PADDLE_ENFORCE_NOT_NULL(
       in_out,
       common::errors::InvalidArgument(
-          "The input of swish plugin shoule not be nullptr."));
+          "The input of swish plugin should not be nullptr."));
 
   PADDLE_ENFORCE_LT(
       pos,

paddle/phi/kernels/fusion/cutlass/gemm_epilogue/gemm_epilogue_util.cu

@@ -172,7 +172,7 @@ int ProfileToGetBestConfig(
         &all_func,
     const GemmEpilogueAllParams &params,
     OpType op_type) {
-  std::cout << "we are tunning for problem: [" << params.m << ", " << params.n
+  std::cout << "we are running for problem: [" << params.m << ", " << params.n
             << ", " << params.k << "]" << std::endl;
 
   constexpr int WARMUP = 10;

python/paddle/distributed/auto_parallel/static/mapper.py

@@ -35,13 +35,13 @@ def is_collective_comm_op(op):
         "all_reduce",
         "broadcast",
     ]
-    reduce_tyep = [
+    reduce_type = [
         dist.ReduceOp.SUM,
         dist.ReduceOp.MIN,
         dist.ReduceOp.MAX,
         dist.ReduceOp.PROD,
     ]
-    if op.type == "reduce" and op.attr("reduce_tyep") in reduce_tyep:
+    if op.type == "reduce" and op.attr("reduce_type") in reduce_type:
         return True
     if op.type in comm_list:
         return True

test/deprecated/legacy_test/test_gradient_clip_deprecated.py

@@ -362,7 +362,7 @@ def backward_func(cost):
             self.check_sparse_gradient_clip(place)
 
     # raise typeError
-    def test_tpyeError(self):
+    def test_typeError(self):
         # the type of optimizer(grad_clip=) must be an instance of GradientClipBase's derived class
         with self.assertRaises(TypeError):
             sgd_optimizer = paddle.optimizer.SGD(