[HEU][CodeStyle][Typos][B-[3-7]] Fix typo(befor, befores, begining,benfit,Betweent,betweeen,bindins)

_typos.toml

@@ -24,7 +24,6 @@ builer = 'builer'
 ontext = 'ontext'
 Direcly = 'Direcly'
 Keyward = 'Keyward'
-begining = 'begining'
 OLT = 'OLT'
 complition = 'complition'
 initalized = 'initalized'
@@ -97,11 +96,9 @@ lsit = 'lsit'
 onces = 'onces'
 defeine = 'defeine'
 modifty = 'modifty'
-befor = 'befor'
 conect = 'conect'
 satifies = 'satifies'
 indexs = 'indexs'
-betweeen = 'betweeen'
 clen = 'clen'
 splitted = 'splitted'
 Intput = 'Intput'
@@ -178,7 +175,6 @@ fileds = 'fileds'
 childs = 'childs'
 initalize = 'initalize'
 storeage = 'storeage'
-Betweent = 'Betweent'
 overrided = 'overrided'
 smll = 'smll'
 outpout = 'outpout'
@@ -243,7 +239,6 @@ suppport = 'suppport'
 Neighboor = 'Neighboor'
 starup = 'starup'
 iy = 'iy'
-bindins = 'bindins'
 choses = 'choses'
 rewrited = 'rewrited'
 targt = 'targt'
@@ -425,7 +420,6 @@ parrent = 'parrent'
 dimensinal = 'dimensinal'
 fisrt = 'fisrt'
 comsume = 'comsume'
-befores = 'befores'
 Converage = 'Converage'
 serailize = 'serailize'
 maping = 'maping'
@@ -468,7 +462,6 @@ nagative = 'nagative'
 helpe = 'helpe'
 TOOD = 'TOOD'
 recive = 'recive'
-benfit = 'benfit'
 accurary = 'accurary'
 featue = 'featue'
 schduler = 'schduler'

paddle/cinn/hlir/dialect/operator/ir/generate_shape_util.cc

@@ -376,12 +376,12 @@ MakeGetterDimExpr4SymbolName(
     const std::function<const symbol::ShapeOrDataDimExprs&(int in_tensor_idx)>&
         DimExpr4InputDim) {
   std::unordered_map<std::string, std::vector<SymbolBinding>>
-      symbol_name2symbol_bindins{};
+      symbol_name2symbol_bindings{};
   for (const auto& symbol_binding : symbol_bindings) {
-    symbol_name2symbol_bindins[GetSymbolNameBySymbolBinding(symbol_binding)]
+    symbol_name2symbol_bindings[GetSymbolNameBySymbolBinding(symbol_binding)]
         .emplace_back(symbol_binding);
   }
-  return [map = std::move(symbol_name2symbol_bindins), DimExpr4InputDim](
+  return [map = std::move(symbol_name2symbol_bindings), DimExpr4InputDim](
              const std::string& symbol_name) -> std::optional<DimExpr> {
     const auto& iter = map.find(symbol_name);
     if (iter == map.end()) return std::nullopt;

paddle/cinn/optim/lower_function_call_bind_vars.cc

@@ -55,7 +55,7 @@ struct LowerFunctionCallBindVarsMutator : public ir::IRMutator<> {
         }
       }
 
-      // insert the extra var arguments to the begining of the original call's
+      // insert the extra var arguments to the beginning of the original call's
       // argument list.
       node->read_args.insert(std::begin(op->read_args),
                              extra_var_args.begin(),

paddle/fluid/eager/general_grad.h

@@ -592,7 +592,7 @@ class GeneralGrad {
     // Purify potentialstartup_ops, remove those nodes that are the same as
     // input_target_nodes
     PurifyPotentialStartUpNodes();
-    // Get Graph Info Betweent input target gradnode and outputs
+    // Get Graph Info Between input target gradnode and outputs
     // Record the depending_nodes_ and potential_startup_nodes_
     GetGraphInfoBetweenTargets(*queue);
     // Update Graph Info, remove some nodes in

paddle/fluid/framework/data_feed.cu

@@ -4182,7 +4182,7 @@ void GraphDataGenerator::DoSageForInfer() {
         total_instance = 2;
         d_type_keys = reinterpret_cast<uint64_t *>(
             d_device_keys_[tensor_pair_idx][infer_cursor_[tensor_pair_idx]]
-                ->ptr());  // copy from begining
+                ->ptr());  // copy from beginning
       } else {
         d_type_keys += infer_node_start_[tensor_pair_idx];
         infer_node_start_[tensor_pair_idx] += total_instance / 2;

paddle/fluid/framework/fleet/ps_gpu_wrapper.cc

@@ -2152,7 +2152,7 @@ void PSGPUWrapper::BeginPass() {
         common::errors::Fatal("[BeginPass] current task is not ended."));
   }
 
-  debug_gpu_memory_info("befor build task");
+  debug_gpu_memory_info("before build task");
   build_task();
   debug_gpu_memory_info("after build task");
   timer.Pause();

paddle/fluid/framework/new_executor/interpreter/dependency_builder.cc

@@ -784,8 +784,8 @@ void DependencyBuilderSimplify::GetAllbehind() {
   };
   for (size_t i = start_index_; i < op_num_; i++) {
     auto& behinds = ops_behind_[i];
-    auto& befores = ops_before_[i];
-    for (auto before_op : befores) {
+    auto& before = ops_before_[i];
+    for (auto before_op : before) {
       for (auto behind_op : behinds) {
         update_op_happen_before(before_op, behind_op);
       }

paddle/fluid/inference/tensorrt/convert/tile_op.cc

@@ -78,7 +78,7 @@ class TileOpConverter : public OpConverter {
       itensors.push_back(input_shape_tensor);
       input_shape_tensor = Concat(itensors);
       // need reshape input to more dims.
-      input = Reshape(input, input_shape_tensor, "reshape_input_befor_slice");
+      input = Reshape(input, input_shape_tensor, "reshape_input_before_slice");
       repeat_expand_tensor = repeat_tensor;
     } else {
       repeat_expand_tensor = repeat_tensor;

paddle/fluid/pir/transforms/onednn/cpu_bfloat16_squash_pass.cc

@@ -396,20 +396,20 @@ class CPUBf16QuantizeSquashPass : public pir::PatternRewritePass {
 
   pir::RewritePatternSet InitializePatterns(pir::IrContext *context) override {
     pir::RewritePatternSet ps(context);
-    uint32_t benfit = 100;
+    uint32_t benefit = 100;
 
     auto q_dq_onednn_pattern = std::make_unique<DequantQuantBf16SquashPattern>(
-        context, benfit--, std::vector<std::string>{});
+        context, benefit--, std::vector<std::string>{});
     ps.Add(std::move(q_dq_onednn_pattern));
 
     auto q_dq_multi_onednn_pattern =
         std::make_unique<DequantQuantBf16MultiUserPattern>(
-            context, benfit--, std::vector<std::string>{});
+            context, benefit--, std::vector<std::string>{});
     ps.Add(std::move(q_dq_multi_onednn_pattern));
 
     auto q_conv_onednn_pattern = std::make_unique<QuantConvBf16SquashPattern>(
         context,
-        benfit--,
+        benefit--,
         std::vector<std::string>{
             paddle::onednn::dialect::FusedConv2dOp::name(),
         });
@@ -418,14 +418,14 @@ class CPUBf16QuantizeSquashPass : public pir::PatternRewritePass {
     auto q_fusedconv_onednn_pattern =
         std::make_unique<QuantFusedConvBf16SquashPattern>(
             context,
-            benfit--,
+            benefit--,
             std::vector<std::string>{
                 paddle::onednn::dialect::FusedConv2dOp::name(),
             });
     ps.Add(std::move(q_fusedconv_onednn_pattern));
 
     auto op_dq_onednn_pattern = std::make_unique<OpDequantBf16SquashPattern>(
-        context, benfit--, std::vector<std::string>{});
+        context, benefit--, std::vector<std::string>{});
     ps.Add(std::move(op_dq_onednn_pattern));
 
     return ps;

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

@@ -1224,7 +1224,7 @@ def set_process_mesh(block, op, process_mesh, var_to_process_mesh):
                 end_op_index = i
                 break
 
-        # all ops betweeen start_op_index and end_op_index should not be ignored
+        # all ops between start_op_index and end_op_index should not be ignored
         for i in range(start_op_index, end_op_index + 1):
             struct_name = ops[i].struct_name
             m = regex.search(struct_name)

test/legacy_test/test_array_read_write_op.py

@@ -244,7 +244,7 @@ def test_array_backward(self):
                     feed={'d0': d},
                     fetch_list=[mean.name, d0.grad_name, mem_array.grad_name],
                 )
-                # this ans is wrong array is empty at begining ,so it no grad.
+                # this ans is wrong array is empty at beginning ,so it no grad.
                 np.testing.assert_allclose(res[2], [[0.1] * 10], rtol=1e-05)
 
             mean = 0.6097253

tools/check_file_diff_approvals.sh

@@ -182,7 +182,7 @@ fi
 
 HAS_MODIFIED_API_FW_BW_YAML=`git diff --name-only upstream/$BRANCH | grep -E "paddle/phi/ops/yaml/ops.yaml|paddle/phi/ops/yaml/backward.yaml" || true`
 if [ "${HAS_MODIFIED_API_FW_BW_YAML}" != "" ] && [ "${GIT_PR_ID}" != "" ]; then
-    echo_line="You must be approved by zyfncg or heavyrain-lzy for paddle/phi/ops/yaml/ops.yaml or paddle/phi/ops/yaml/backward.yaml changes, which manage the generated code for the C++ OP. You can only change them according to the specification at the begining of this two file.\n Recommend you obtain approval from gongshaotian or Hongqing-work, if only modified the InferSymbolicShapeInterface interfaces in the YAML file.\n"
+    echo_line="You must be approved by zyfncg or heavyrain-lzy for paddle/phi/ops/yaml/ops.yaml or paddle/phi/ops/yaml/backward.yaml changes, which manage the generated code for the C++ OP. You can only change them according to the specification at the beginning of this two file.\n Recommend you obtain approval from gongshaotian or Hongqing-work, if only modified the InferSymbolicShapeInterface interfaces in the YAML file.\n"
     check_approval 1 zyfncg heavyrain-lzy gongshaotian Hongqing-work
 fi