[NewIR]fix new ir shadow typo (#55706)

* fix new ir shadow typo

* update

paddle/fluid/framework/executor_cache.cc

@@ -402,7 +402,7 @@ std::unique_ptr<::ir::Program> ConstructFowardIrProgram(
     }
 
     auto op_desc = local_program.MutableBlock(0)->AppendOp();
-    op_desc->SetType("shaddow_output");
+    op_desc->SetType("shadow_output");
     op_desc->SetAttr("name", name);
     op_desc->SetInput("x", {name});
     op_desc->SetOutput("out", {"@EMPTY@"});
@@ -458,7 +458,7 @@ std::unique_ptr<::ir::Program> ConstructBackwardIrProgram(
       continue;
     }
     auto op_desc = local_program.MutableBlock(0)->AppendOp();
-    op_desc->SetType("shaddow_output");
+    op_desc->SetType("shadow_output");
     op_desc->SetAttr("name", name);
     op_desc->SetInput("x", {name});
     op_desc->SetOutput("out", {"@EMPTY@"});

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

@@ -980,7 +980,7 @@ void BuildOpFuncList(
     if (op_name == "builtin.combine" || op_name == "pd.feed" ||
         op_name == "builtin.set_parameter" ||
         op_name == "builtin.get_parameter" || op_name == "builtin.slice" ||
-        op_name == "pd.feed_with_place" || op_name == "pd.shaddow_output") {
+        op_name == "pd.feed_with_place" || op_name == "pd.shadow_output") {
       VLOG(6) << "skip process " << op_name;
       continue;
     }

paddle/fluid/ir/dialect/pd_op.yaml

@@ -277,7 +277,7 @@
   backward: null
 
 
-- name: shaddow_feed
+- name: shadow_feed
   inputs:
   - typename: Tensor
     name: x
@@ -293,7 +293,7 @@
     func: UnchangedInferMeta
     param: [x]
   kernel:
-    func: [shaddow_feed]
+    func: [shadow_feed]
     param: [x]
     backend: null
     layout: null

paddle/fluid/ir/phi_kernel_adaptor/phi_kernel_util.cc

@@ -278,8 +278,8 @@ void HandleForSpecialOp(
     (*value_2_var_name)[value] = param_name;
   }
 
-  if (op_name == "pd.shaddow_output") {
-    VLOG(6) << "Handle for pd.shaddow_ouptut";
+  if (op_name == "pd.shadow_output") {
+    VLOG(6) << "Handle for pd.shadow_ouptut";
     auto var_name =
         op->attributes().at("name").dyn_cast<ir::StrAttribute>().AsString();
 
@@ -408,7 +408,7 @@ void BuildScope(const ir::Block& block,
     if (op_name == "pd.feed" || op_name == "pd.fetch" ||
         op_name == "builtin.combine" || op_name == "builtin.set_parameter" ||
         op_name == "builtin.get_parameter" || op_name == "builtin.slice" ||
-        op_name == "pd.feed_with_place" || op_name == "pd.shaddow_output") {
+        op_name == "pd.feed_with_place" || op_name == "pd.shadow_output") {
       HandleForSpecialOp(op,
                          inner_scope,
                          var_name_prefix,

paddle/fluid/ir/transforms/pd_op_to_kernel_pass.cc

@@ -437,30 +437,30 @@ std::unique_ptr<ir::Program> PdOpLowerToKernelPass(ir::Program* prog,
     program->block()->push_back(op);
 
     if ((*it)->name() == "pd.feed" && platform::is_gpu_place(place)) {
-      // add shaddow feed op
-      phi::KernelKey shaddow_key{
+      // add shadow feed op
+      phi::KernelKey shadow_key{
           phi::Backend::GPU,
           phi::DataLayout::ANY,
           TransToPhiDataType(
               (*it)->result(0).type().dyn_cast<DenseTensorType>().dtype())};
       std::unordered_map<std::string, ir::Attribute> attr_map{
-          {"op_name", ir::StrAttribute::get(ctx, "pd.shaddow_feed")},
-          {"kernel_name", ir::StrAttribute::get(ctx, "shaddow_feed")},
-          {"kernel_key", dialect::KernelAttribute::get(ctx, shaddow_key)}};
+          {"op_name", ir::StrAttribute::get(ctx, "pd.shadow_feed")},
+          {"kernel_name", ir::StrAttribute::get(ctx, "shadow_feed")},
+          {"kernel_key", dialect::KernelAttribute::get(ctx, shadow_key)}};
 
       auto out_type = paddle::dialect::AllocatedDenseTensorType::get(
           ctx,
-          phi::TransToPhiPlace(shaddow_key.backend()),
+          phi::TransToPhiPlace(shadow_key.backend()),
           (*it)->result(0).type().dyn_cast<dialect::DenseTensorType>());
 
-      ir::Operation* shaddow_op =
+      ir::Operation* shadow_op =
           ir::Operation::Create({op->result(0)}, attr_map, {out_type}, op_info);
 
-      map_op_pair[*it] = shaddow_op;
-      program->block()->push_back(shaddow_op);
+      map_op_pair[*it] = shadow_op;
+      program->block()->push_back(shadow_op);
       if ((*it)->num_results() > 0) {
-        for (size_t i = 0; i < shaddow_op->num_results(); ++i) {
-          map_value_pair[(*it)->result(i)] = shaddow_op->result(i);
+        for (size_t i = 0; i < shadow_op->num_results(); ++i) {
+          map_value_pair[(*it)->result(i)] = shadow_op->result(i);
         }
       }
     }

paddle/fluid/ir_adaptor/translator/op_translator.cc

@@ -1136,7 +1136,7 @@ struct FetchOpTranscriber : public OpTranscriber {
   }
 };
 
-struct ShaddowOutputOpTranscriber : public OpTranscriber {
+struct ShadowOutputOpTranscriber : public OpTranscriber {
   ir::Operation* operator()(ir::IrContext* ctx,
                             TranslationContext* param_map,
                             const OpDesc& op_desc,
@@ -1463,7 +1463,7 @@ OpTranslator::OpTranslator() {
   special_handlers["reduce_all"] = ReduceOpTranscriber();
   special_handlers["reduce_any"] = ReduceOpTranscriber();
   special_handlers["rnn"] = RnnOpTranscriber();
-  special_handlers["shaddow_output"] = ShaddowOutputOpTranscriber();
+  special_handlers["shadow_output"] = ShadowOutputOpTranscriber();
   special_handlers["split"] = SplitOpTranscriber();
   special_handlers["sum"] = AddNOpTranscriber();
 

paddle/phi/api/yaml/op_compat.yaml

@@ -2412,6 +2412,10 @@
   extra :
     attrs : [bool use_mkldnn=false]
 
+- op : shadow_output
+  inputs: {x: x}
+  outputs: {out: out}
+
 - op : shape
   inputs :
     input : Input

paddle/phi/api/yaml/ops.yaml

@@ -2256,14 +2256,14 @@
   optional : master_param, master_param_out
   inplace : (param -> param_out), (master_param -> master_param_out)
 
-- op : shaddow_output
+- op : shadow_output
   args : (Tensor x, str name)
   output : Tensor(out)
   infer_meta :
     func : UnchangedInferMeta
     param : [x]
   kernel:
-    func : shaddow_output
+    func : shadow_output
     param : [x]
 
 - op : shape

paddle/phi/kernels/cpu/feed_with_place_kernel.cc

@@ -27,18 +27,19 @@ void FeedWithPlaceKernel(const Context& ctx,
                          DenseTensor* out) {}
 
 template <typename T, typename Context>
-void ShaddowOutputKernel(const Context& ctx,
+void ShadowOutputKernel(const Context& ctx,
                         const DenseTensor& x,
                         DenseTensor* out) {}
+
 }  // namespace phi
 
 PD_REGISTER_KERNEL(
     feed_with_place, CPU, ALL_LAYOUT, phi::FeedWithPlaceKernel, float) {}
 
-PD_REGISTER_KERNEL(shaddow_feed,
+PD_REGISTER_KERNEL(shadow_feed,
                    CPU,
                    ALL_LAYOUT,
-                   phi::ShaddowFeedKernel,
+                   phi::ShadowFeedKernel,
                    bool,
                    float,
                    int32_t,
@@ -50,4 +51,4 @@ PD_REGISTER_KERNEL(shaddow_feed,
                    phi::complex128) {}
 
 PD_REGISTER_KERNEL(
-    shaddow_output, CPU, ALL_LAYOUT, phi::ShaddowOutputKernel, float) {}
+    shadow_output, CPU, ALL_LAYOUT, phi::ShadowOutputKernel, float) {}

paddle/phi/kernels/feed_with_place_kernel.h

@@ -26,12 +26,12 @@ void FeedWithPlaceKernel(const Context& ctx,
                          DenseTensor* out);
 
 template <typename T, typename Context>
-void ShaddowOutputKernel(const Context& ctx,
+void ShadowOutputKernel(const Context& ctx,
                         const DenseTensor& x,
                         DenseTensor* out);
 
 template <typename T, typename Context>
-void ShaddowFeedKernel(const Context& ctx,
+void ShadowFeedKernel(const Context& ctx,
                       const DenseTensor& x,
                       DenseTensor* out);
 

paddle/phi/kernels/gpu/feed_with_place_kernel.cu

@@ -18,10 +18,10 @@
 #include "paddle/phi/core/kernel_registry.h"
 #include "paddle/phi/kernels/impl/feed_with_place_impl.h"
 
-PD_REGISTER_KERNEL(shaddow_feed,
+PD_REGISTER_KERNEL(shadow_feed,
                    GPU,
                    ALL_LAYOUT,
-                   phi::ShaddowFeedKernel,
+                   phi::ShadowFeedKernel,
                    bool,
                    float,
                    int32_t,

paddle/phi/kernels/impl/feed_with_place_impl.h

@@ -20,7 +20,7 @@
 namespace phi {
 
 template <typename T, typename Context>
-void ShaddowFeedKernel(const Context& ctx,
+void ShadowFeedKernel(const Context& ctx,
                       const DenseTensor& x,
                       DenseTensor* out) {
   ctx.template Alloc<T>(out);