[CodeStyle][Typos][S-[34-35]]Fix typos(splitting,Splitting,splitted,Splited,splited)

_typos.toml

@@ -44,6 +44,8 @@ kinf = 'kinf'
 Optin = 'Optin'
 padd = 'padd'
 pash = 'pash'
+splited = 'splited'
+splitted = 'splitted'
 statis = 'statis'
 UNEXPECT = 'UNEXPECT'
 tood = 'tood'
@@ -84,11 +86,6 @@ Patial = 'Patial'
 specificed = 'specificed'
 splite = 'splite'
 spliter = 'spliter'
-spliting = 'spliting'
-Spliting = 'Spliting'
-splited = 'splited'
-splitted = 'splitted'
-Splited = 'Splited'
 sqaure = 'sqaure'
 sequeze = 'sequeze'
 starup = 'starup'

paddle/cinn/backends/codegen_device_util.h

@@ -118,7 +118,7 @@ struct CollectHostFunctionVisitor : public ir::IRMutator<> {
     ir::Var kernel_stream(KERNEL_STREAM, type_of<void*>());
 
     // shared_mem_bytes Can be calculated after codegen_cuda_dev buffer creation
-    // however, this make CodeGenCudaDev before spliting the host and device
+    // however, this make CodeGenCudaDev before splitting the host and device
     // module Maybe we could reorder the process.
     std::optional<Expr> shared_mem_bytes;
     cinn::common::DefaultDeviceTarget().arch.Match(

paddle/cinn/operator_fusion/graph_transformer/operation.h

@@ -49,7 +49,7 @@ struct MergeTrivialPatternOperation {
             graph->iters_fusion_policy()->SingleDownstreamItersFusion(
                 upstream, downstream));
         graph->RemoveNode(downstream);
-        VLOG(4) << "Spliting trivial pattern: \nupstream "
+        VLOG(4) << "Splitting trivial pattern: \nupstream "
                 << upstream->DebugStr() << "\ndownstream "
                 << downstream->DebugStr() << "\nmerged "
                 << merged_node->DebugStr();

paddle/phi/infermeta/unary.cc

@@ -4314,7 +4314,7 @@ void FillSplitOutDims(const MetaTensor& x,
   }
   for (size_t i = 0; i < sections_vec.size(); ++i) {
     if (axis_value != 0) {
-      // Only pass LoD when not spliting along the first dim.
+      // Only pass LoD when not splitting along the first dim.
       (*out)[i]->set_dtype(x.dtype());
       (*out)[i]->set_dims(out_dims[i]);
       (*out)[i]->set_layout(x.layout());
@@ -4364,7 +4364,7 @@ void SplitInferMeta(const MetaTensor& x,
     }
     for (size_t i = 0; i < sections_data.size(); ++i) {
       if (axis_value != 0) {
-        // Only pass LoD when not spliting along the first dim.
+        // Only pass LoD when not splitting along the first dim.
         out[i]->set_dtype(x.dtype());
         out[i]->set_dims(out_dims[i]);
         out[i]->set_layout(x.layout());
@@ -4455,7 +4455,7 @@ void SplitWithNumInferMeta(const MetaTensor& x,
     }
     for (int i = 0; i < num; ++i) {
       if (axis_value != 0) {
-        // Only pass LoD when not spliting along the first dim.
+        // Only pass LoD when not splitting along the first dim.
         out[i]->set_dtype(x.dtype());
         out[i]->set_dims(out_dims[i]);
         out[i]->set_layout(x.layout());

python/paddle/distributed/passes/pass_utils.py

@@ -1788,11 +1788,11 @@ def split_matmul_grad_to_matmul(
     tran_x = matmul_grad_op.attr("trans_x")
     assert (
         not tran_x
-    ), f"matmul_grad(id={matmul_grad_id}) with tran_x == True is not supported for spliting matmul_grad to matmul"
+    ), f"matmul_grad(id={matmul_grad_id}) with tran_x == True is not supported for splitting matmul_grad to matmul"
     tran_y = matmul_grad_op.attr("trans_y")
     assert (
         not tran_y
-    ), f"matmul_grad(id={matmul_grad_id}) with tran_y == True is not supported for spliting matmul_grad to matmul"
+    ), f"matmul_grad(id={matmul_grad_id}) with tran_y == True is not supported for splitting matmul_grad to matmul"
 
     x = matmul_grad_op.input("X")
     y = matmul_grad_op.input("Y")
@@ -1927,11 +1927,11 @@ def _pir_split_matmul_grad_to_matmul(block, matmul_grad_id):
 
     assert not matmul_grad_op.has_attr(
         "trans_x"
-    ), f"matmul_grad(id={matmul_grad_id}) with tran_x == True is not supported for spliting matmul_grad to matmul"
+    ), f"matmul_grad(id={matmul_grad_id}) with tran_x == True is not supported for splitting matmul_grad to matmul"
 
     assert not matmul_grad_op.has_attr(
         "trans_y"
-    ), f"matmul_grad(id={matmul_grad_id}) with tran_y == True is not supported for spliting matmul_grad to matmul"
+    ), f"matmul_grad(id={matmul_grad_id}) with tran_y == True is not supported for splitting matmul_grad to matmul"
 
     x = matmul_grad_op.operand_source(0)
     y = matmul_grad_op.operand_source(1)