Fix some typos(TestUninitailzed, etc) (#62045)

co63oc · web-flow · commit e2e280ec2388 · 2024-02-27T10:25:37.000+08:00
diff --git a/paddle/fluid/framework/ir/conv_elementwise_add2_act_fuse_pass.cc b/paddle/fluid/framework/ir/conv_elementwise_add2_act_fuse_pass.cc
@@ -35,7 +35,7 @@ namespace ir {
   GET_IR_NODE(act_op);                 \
   GET_IR_NODE(act_out);
 
-// Inherient the basic information from `base_desc`, and modify some fields.
+// Inherit the basic information from `base_desc`, and modify some fields.
 framework::proto::OpDesc PrepareOpDesc(
     const framework::proto::OpDesc& base_desc,
     const std::string& bias,
@@ -154,7 +154,7 @@ void ConvElementwiseAdd2ActFusePass::ApplyImpl(ir::Graph* graph) const {
     all_act_set.insert(cutlass_act_set.begin(), cutlass_act_set.end());
   }
 
-  patterns::ConvElementwiseadd2Act pattern(gpd.mutable_pattern(), pattern_name);
+  patterns::ConvElementwiseAdd2Act pattern(gpd.mutable_pattern(), pattern_name);
   pattern(x, all_act_set);
   int found_count = 0;
   auto handler = [&](const GraphPatternDetector::subgraph_t& subgraph,
diff --git a/paddle/fluid/framework/ir/cost_model_test.cc b/paddle/fluid/framework/ir/cost_model_test.cc
@@ -151,7 +151,7 @@ TEST(CostDataTest, TestGetGraphProgram) {
   EXPECT_EQ(cost_data.GetProgram(), nullptr);
 }
 
-TEST(CostDataTest, TestUninitailzed) {
+TEST(CostDataTest, TestUninitialized) {
   CostData cost_data;
   EXPECT_EQ(cost_data.GetWholeMemoryBytes(), CostData::NOT_MEASURED);
   EXPECT_EQ(cost_data.GetWholeTimeMs(), CostData::NOT_MEASURED);
diff --git a/paddle/fluid/framework/ir/delete_dropout_op_pass.cc b/paddle/fluid/framework/ir/delete_dropout_op_pass.cc
@@ -98,7 +98,7 @@ DeleteDropoutOpXPass::DeleteDropoutOpXPass() {
 }
 
 void DeleteDropoutOpXPass::ApplyImpl(ir::Graph* graph) const {
-  VLOG(3) << "delte dropout op.";
+  VLOG(3) << "delete dropout op.";
   std::unordered_set<const Node*> del_node_set;
   for (Node* n : graph->Nodes()) {
     if (n->IsOp() && n->Op()) {
diff --git a/paddle/fluid/framework/ir/graph.h b/paddle/fluid/framework/ir/graph.h
@@ -69,7 +69,7 @@ namespace ir {
  *   Write-After-Read
  *     a = op1(x)
  *     x = op2(b)
- *     A control-dependency connection is created bettwen op1 and op2 such that
+ *     A control-dependency connection is created between op1 and op2 such that
  *     op1->op2, so as to ensure correct order.
  *
  *   Write-After-Write
@@ -477,7 +477,7 @@ class Graph {
   std::unordered_set<ir::Node *> node_set_;
   size_t num_node_created_{0};  // help to generate a unique node id.
   // NOTE(Aurelius84): Whether is constructed with partial ProgramDesc.
-  // In case of @to_static, whole trainning program is splited into two
+  // In case of @to_static, whole training program is splited into two
   // parts: forward graph and backward graph, which can be executed
   // independently.
   bool is_partial_{false};
diff --git a/paddle/fluid/framework/ir/graph_pattern_detector.cc b/paddle/fluid/framework/ir/graph_pattern_detector.cc
@@ -2981,7 +2981,7 @@ PDNode *patterns::SelfAttention::operator()(PDNode *in) {
   return transpose2_2_out;
 }
 
-PDNode *patterns::ConvElementwiseadd2Act::operator()(
+PDNode *patterns::ConvElementwiseAdd2Act::operator()(
     PDNode *conv_in, const std::unordered_set<std::string> &conv_act_set) {
   auto conv_op = pattern->NewNode(conv_op_repr())->assert_is_op("conv2d");
   auto conv_filter = pattern->NewNode(conv_filter_repr())
diff --git a/paddle/fluid/framework/ir/graph_pattern_detector.h b/paddle/fluid/framework/ir/graph_pattern_detector.h
@@ -1613,8 +1613,8 @@ struct ConvElementwiseaddAct : public PatternBase {
 };
 
 // Conv + ElementwiseAdd + ElementwiseAdd + Activation
-struct ConvElementwiseadd2Act : public PatternBase {
-  ConvElementwiseadd2Act(PDPattern* pattern, const std::string& name_scope)
+struct ConvElementwiseAdd2Act : public PatternBase {
+  ConvElementwiseAdd2Act(PDPattern* pattern, const std::string& name_scope)
       : PatternBase(
             pattern, name_scope, "conv_elementwiseadd2_elementwiseadd_act") {}
 
@@ -1638,7 +1638,7 @@ struct ConvElementwiseadd2Act : public PatternBase {
 };
 
 // Conv + ElementwiseAdd
-// This pattern should be used after ConvElementwiseadd2Act or
+// This pattern should be used after ConvElementwiseAdd2Act or
 // ConvElementwiseadd pass
 struct ConvElementwiseadd : public PatternBase {
   ConvElementwiseadd(PDPattern* pattern, const std::string& name_scope)
diff --git a/paddle/fluid/framework/ir/xpu/multi_encoder_xpu_fuse_pass.h b/paddle/fluid/framework/ir/xpu/multi_encoder_xpu_fuse_pass.h
@@ -33,7 +33,7 @@ namespace ir {
 
 /*
 step1: fuse single ops to single_encoder_xpu
-step2: fuse mutitl single_encoder_xpu to multi_encoder_xpu
+step2: fuse multi single_encoder_xpu to multi_encoder_xpu
 
 1. step1
 Origin subgraph:
@@ -144,7 +144,7 @@ class MultiEncoderXPUFusePass : public FusePassBase {
                                 bool norm_before,
                                 bool with_q_scale,
                                 bool with_mask,
-                                bool is_smooth_qunat) const;
+                                bool is_smooth_quant) const;
 
   bool ApplyMultiEncoderXPUFuse(ir::Graph* graph) const;
 
diff --git a/paddle/fluid/framework/ir/xpu/squeeze_excitation_fuse_pass.h b/paddle/fluid/framework/ir/xpu/squeeze_excitation_fuse_pass.h
@@ -32,7 +32,7 @@ namespace paddle {
 namespace framework {
 namespace ir {
 /*
-Squeeze and Excitaion Block Fusion for SE-ResNet
+Squeeze and Excitation Block Fusion for SE-ResNet
 Origin subgraph
         Input
         |    \
diff --git a/paddle/fluid/framework/ir/xpu/stack_fuse_pass.cc b/paddle/fluid/framework/ir/xpu/stack_fuse_pass.cc
@@ -87,7 +87,7 @@ StackPattern::StackPattern(PDPattern* pattern, const std::string& name_scope)
 /*
 "stack" can be replaced by "unsqueeze" if:
 1. "stack inputs" are the same。
-1. "stack output" is "elementwise_add input" or "fused_multi_transformer
+2. "stack output" is "elementwise_add input" or "fused_multi_transformer
 src_mask input".
 */
 class StackFusePass : public FusePassBase {
diff --git a/paddle/fluid/framework/ir/xpu/xpu_quantize_squash_pass.cc b/paddle/fluid/framework/ir/xpu/xpu_quantize_squash_pass.cc
@@ -142,7 +142,7 @@ void XPUQuantizeSquashPass::OpDequantSquash(Graph* graph) const {
           std::string branch_name = any_op->Op()->Input("branch")[0];
           auto* branch_node = FindNodeWithName(graph, branch_name);
           // If branch datatype is not equal to dequant_out datatype, can not
-          // squash. Because phase1: dquantize + quantize squash maybe squash
+          // squash. Because phase1: dequantize + quantize squash maybe squash
           // branch quantize, if so, We judge the datatype to decide whether to
           // squash. If squash, the result will be wrong.
           if (branch_node->Var()->GetDataType() !=

Original file line number	Diff line number	Diff line change
`@@ -151,7 +151,7 @@ TEST(CostDataTest, TestGetGraphProgram) {`
`151`	`151`	`EXPECT_EQ(cost_data.GetProgram(), nullptr);`
`152`	`152`	`}`
`153`	`153`
`154`		`-TEST(CostDataTest, TestUninitailzed) {`
	`154`	`+TEST(CostDataTest, TestUninitialized) {`
`155`	`155`	`CostData cost_data;`
`156`	`156`	`EXPECT_EQ(cost_data.GetWholeMemoryBytes(), CostData::NOT_MEASURED);`
`157`	`157`	`EXPECT_EQ(cost_data.GetWholeTimeMs(), CostData::NOT_MEASURED);`
Original file line number	Diff line number	Diff line change
`@@ -98,7 +98,7 @@ DeleteDropoutOpXPass::DeleteDropoutOpXPass() {`
`98`	`98`	`}`
`99`	`99`
`100`	`100`	`void DeleteDropoutOpXPass::ApplyImpl(ir::Graph* graph) const {`
`101`		`- VLOG(3) << "delte dropout op.";`
	`101`	`+ VLOG(3) << "delete dropout op.";`
`102`	`102`	`std::unordered_set<const Node*> del_node_set;`
`103`	`103`	`for (Node* n : graph->Nodes()) {`
`104`	`104`	`if (n->IsOp() && n->Op()) {`
Original file line number	Diff line number	Diff line change
`@@ -2981,7 +2981,7 @@ PDNode patterns::SelfAttention::operator()(PDNode in) {`
`2981`	`2981`	`return transpose2_2_out;`
`2982`	`2982`	`}`
`2983`	`2983`
`2984`		`-PDNode *patterns::ConvElementwiseadd2Act::operator()(`
	`2984`	`+PDNode *patterns::ConvElementwiseAdd2Act::operator()(`
`2985`	`2985`	`PDNode *conv_in, const std::unordered_set<std::string> &conv_act_set) {`
`2986`	`2986`	`auto conv_op = pattern->NewNode(conv_op_repr())->assert_is_op("conv2d");`
`2987`	`2987`	`auto conv_filter = pattern->NewNode(conv_filter_repr())`