Fix typos(attetion, etc) (#62044)

co63oc · web-flow · commit 5508f55d6e08 · 2024-02-26T10:36:04.000+08:00
diff --git a/paddle/fluid/framework/ir/mkldnn/cpu_quantize_squash_pass_tester.cc b/paddle/fluid/framework/ir/mkldnn/cpu_quantize_squash_pass_tester.cc
@@ -1018,7 +1018,7 @@ TEST(CpuQuantizeSquashPass, fc_dequant_more_than_one_op_after_dequant) {
 
 // a->Concat1->b
 // b->Concat2
-// b->Quatize1(Scale)->c
+// b->Quantize1(Scale)->c
 // c->Fc1
 // c->Fc2
 TEST(CpuQuantizeSquashPass, quatize_with_same_scale) {
diff --git a/paddle/fluid/framework/ir/mkldnn/self_attention_fuse_pass.h b/paddle/fluid/framework/ir/mkldnn/self_attention_fuse_pass.h
@@ -24,7 +24,7 @@ namespace paddle {
 namespace framework {
 namespace ir {
 
-// Fusing of self-attetion structure
+// Fusing of self-attention structure
 
 class Graph;
 
diff --git a/paddle/fluid/framework/ir/mkldnn/shuffle_channel_mkldnn_detect_pass.cc b/paddle/fluid/framework/ir/mkldnn/shuffle_channel_mkldnn_detect_pass.cc
@@ -174,7 +174,7 @@ void ShuffleChannelMKLDNNDetectPass::ApplyImpl(ir::Graph* graph) const {
         }
       }
 
-      // shuffle_channel dosen't change shape
+      // shuffle_channel doesn't change shape
       if ((reshape2_shape[0] != -1) && (x_shape1[0] != reshape2_shape[0])) {
         return;
       }
diff --git a/paddle/fluid/framework/ir/multi_devices_graph_pass/all_reduce_deps_pass.cc b/paddle/fluid/framework/ir/multi_devices_graph_pass/all_reduce_deps_pass.cc
@@ -150,7 +150,7 @@ class AllReduceDepsPass : public ir::Pass {
       const std::vector<details::OpHandleBase*>& all_reduce_op_handles) const {
     // get vars order
     std::map<int, std::vector<std::string>> vars =
-        GetSoredGradientsFromStaleProgram(graph);
+        GetSortedGradientsFromStaleProgram(graph);
     std::stringstream out;
     size_t grads_of_stale_program = 0;
     out << "Get Order From details::kStaleProgramOpDescs: ";
@@ -188,7 +188,7 @@ class AllReduceDepsPass : public ir::Pass {
     }
   }
 
-  std::map<int, std::vector<std::string>> GetSoredGradientsFromStaleProgram(
+  std::map<int, std::vector<std::string>> GetSortedGradientsFromStaleProgram(
       const ir::Graph& graph) const {
     std::map<int, std::vector<std::string>> vars;
     auto ops =
diff --git a/paddle/fluid/framework/ir/multi_devices_graph_pass/backward_optimizer_op_deps_pass.cc b/paddle/fluid/framework/ir/multi_devices_graph_pass/backward_optimizer_op_deps_pass.cc
@@ -68,7 +68,7 @@ class BackWardOpDepsPass : public ir::Pass {
       AddDep(graph, opt_handles[i - 1], opt_handles[i]);
     }
 
-    VLOG(10) << "add deps between backward and optimze:";
+    VLOG(10) << "add deps between backward and optimize:";
     AddDep(graph,
            backward_op_handles[backward_op_handles.size() - 1],
            opt_handles[0]);
diff --git a/paddle/fluid/framework/ir/multi_devices_graph_pass/multi_devices_graph_check_pass.cc b/paddle/fluid/framework/ir/multi_devices_graph_pass/multi_devices_graph_check_pass.cc
@@ -19,14 +19,14 @@ namespace paddle {
 namespace framework {
 namespace ir {
 
-class SSAGraghBuilderWithChecker : public ir::Pass {
+class SSAGraphBuilderWithChecker : public ir::Pass {
  protected:
   void ApplyImpl(ir::Graph *graph) const override {
     PADDLE_ENFORCE_EQ(
         IsValidGraph(graph),
         true,
         platform::errors::InvalidArgument(
-            "In SSAGraghBuilderWithChecker, invalid Graph input."));
+            "In SSAGraphBuilderWithChecker, invalid Graph input."));
   }
 
   bool IsValidGraph(const ir::Graph *graph) const {
@@ -99,6 +99,6 @@ class SSAGraghBuilderWithChecker : public ir::Pass {
 }  // namespace paddle
 
 REGISTER_PASS(multi_devices_check_pass,
-              paddle::framework::ir::SSAGraghBuilderWithChecker)
+              paddle::framework::ir::SSAGraphBuilderWithChecker)
     .RequireGraphAttr(paddle::framework::details::kGraphVars)
     .RequireGraphAttr(paddle::framework::details::kGraphDepVars);
diff --git a/paddle/fluid/framework/ir/multi_devices_graph_pass/multi_devices_graph_print_pass.cc b/paddle/fluid/framework/ir/multi_devices_graph_pass/multi_devices_graph_print_pass.cc
@@ -19,7 +19,7 @@ namespace paddle {
 namespace framework {
 namespace ir {
 
-class SSAGraghBuilderWithPrinterPass : public ir::Pass {
+class SSAGraphBuilderWithPrinterPass : public ir::Pass {
  protected:
   void ApplyImpl(ir::Graph *graph) const override {
     std::unique_ptr<std::ostream> fout(
@@ -102,5 +102,5 @@ void GraphvizSSAGraphPrinter::Print(const ir::Graph &graph,
 }  // namespace paddle
 
 REGISTER_PASS(multi_devices_print_pass,
-              paddle::framework::ir::SSAGraghBuilderWithPrinterPass)
+              paddle::framework::ir::SSAGraphBuilderWithPrinterPass)
     .RequirePassAttr(paddle::framework::ir::kGraphvizPath);
diff --git a/paddle/fluid/framework/ir/xpu/add_layernorm_xpu_fuse_pass.cc b/paddle/fluid/framework/ir/xpu/add_layernorm_xpu_fuse_pass.cc
@@ -59,7 +59,7 @@ After the pass is applied:
    scale---- add_layernorm_fusion ---- bias
                 /     |    \     \
                /      |     \     \
-          variance    |      meam  z_add
+          variance    |      mean  z_add
                     Output
 */
 struct AddLayernormXPUPattern : public PatternBase {
diff --git a/paddle/fluid/framework/ir/xpu/fused_multi_transformer_int8_xpu_quant_pass.cc b/paddle/fluid/framework/ir/xpu/fused_multi_transformer_int8_xpu_quant_pass.cc
@@ -525,7 +525,7 @@ int FusedMultiTransformerInt8XPUQuantPass::FusedMultiTransformerInt8(
         id++;
       }
     };
-    // genereate input node
+    // generate input node
     attr2weight(
         "qkv_in_scale", &(input_max_nodes_vec[0]), &(input_max_names_vec[0]));
     attr2weight("out_linear_in_scale",
diff --git a/paddle/fluid/framework/ir/xpu/multi_encoder_xpu_adaptive_seqlen_fuse_pass.h b/paddle/fluid/framework/ir/xpu/multi_encoder_xpu_adaptive_seqlen_fuse_pass.h
@@ -40,7 +40,7 @@ class MultiEncoderXPUAdaptiveSeqlenFusePass : public FusePassBase {
   /*
   adaptive seqlen V1, before:
 
-      inpu_var*     mask_var*
+      input_var*     mask_var*
           |             |
           |             |
     embedding_xpu     matmul
@@ -59,7 +59,7 @@ class MultiEncoderXPUAdaptiveSeqlenFusePass : public FusePassBase {
 
   after:
 
-        inpu_var*    mask_var*
+        input_var*    mask_var*
           \             /
            \           /
           embedding_xpu
@@ -81,7 +81,7 @@ class MultiEncoderXPUAdaptiveSeqlenFusePass : public FusePassBase {
   /*
   adaptive seqlen V2, before:
 
-      inpu_var*          mask_var*
+      input_var*          mask_var*
           |                 |
           |                 |
     embedding_xpu        not_equal
@@ -115,7 +115,7 @@ class MultiEncoderXPUAdaptiveSeqlenFusePass : public FusePassBase {
 
   after:
 
-        inpu_var*    mask_var*
+        input_var*    mask_var*
           \             /
            \           /
           embedding_xpu

Original file line number	Diff line number	Diff line change
`@@ -174,7 +174,7 @@ void ShuffleChannelMKLDNNDetectPass::ApplyImpl(ir::Graph* graph) const {`
`174`	`174`	`}`
`175`	`175`	`}`
`176`	`176`
`177`		`- // shuffle_channel dosen't change shape`
	`177`	`+ // shuffle_channel doesn't change shape`
`178`	`178`	`if ((reshape2_shape[0] != -1) && (x_shape1[0] != reshape2_shape[0])) {`
`179`	`179`	`return;`
`180`	`180`	`}`
Original file line number	Diff line number	Diff line change
`@@ -68,7 +68,7 @@ class BackWardOpDepsPass : public ir::Pass {`
`68`	`68`	`AddDep(graph, opt_handles[i - 1], opt_handles[i]);`
`69`	`69`	`}`
`70`	`70`
`71`		`- VLOG(10) << "add deps between backward and optimze:";`
	`71`	`+ VLOG(10) << "add deps between backward and optimize:";`
`72`	`72`	`AddDep(graph,`
`73`	`73`	`backward_op_handles[backward_op_handles.size() - 1],`
`74`	`74`	`opt_handles[0]);`
Original file line number	Diff line number	Diff line change
`@@ -525,7 +525,7 @@ int FusedMultiTransformerInt8XPUQuantPass::FusedMultiTransformerInt8(`
`525`	`525`	`id++;`
`526`	`526`	`}`
`527`	`527`	`};`
`528`		`- // genereate input node`
	`528`	`+ // generate input node`
`529`	`529`	`attr2weight(`
`530`	`530`	`"qkv_in_scale", &(input_max_nodes_vec[0]), &(input_max_names_vec[0]));`
`531`	`531`	`attr2weight("out_linear_in_scale",`