PaddlePaddle
diff --git a/‎paddle/fluid/ir/dialect/op_gen.py
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+19-3Lines changed: 19 additions & 3 deletions b/‎paddle/fluid/ir/dialect/op_gen.py
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+19-3Lines changed: 19 additions & 3 deletions
diff --git a/‎paddle/fluid/ir/dialect/pd_dialect.cc
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+25-1Lines changed: 25 additions & 1 deletion b/‎paddle/fluid/ir/dialect/pd_dialect.cc
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+25-1Lines changed: 25 additions & 1 deletion
diff --git a/‎paddle/fluid/ir/dialect/pd_dialect.h
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+2-1Lines changed: 2 additions & 1 deletion b/‎paddle/fluid/ir/dialect/pd_dialect.h
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+2-1Lines changed: 2 additions & 1 deletion
diff --git a/‎paddle/fluid/ir_adaptor/translator/CMakeLists.txt
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+3-1Lines changed: 3 additions & 1 deletion b/‎paddle/fluid/ir_adaptor/translator/CMakeLists.txt
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+3-1Lines changed: 3 additions & 1 deletion
diff --git a/‎paddle/fluid/ir_adaptor/translator/op_compat_gen.py
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+33-3Lines changed: 33 additions & 3 deletions b/‎paddle/fluid/ir_adaptor/translator/op_compat_gen.py
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+33-3Lines changed: 33 additions & 3 deletions
diff --git a/‎paddle/fluid/ir_adaptor/translator/op_compat_info.cc.j2
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+31Lines changed: 31 additions & 0 deletions b/‎paddle/fluid/ir_adaptor/translator/op_compat_info.cc.j2
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+31Lines changed: 31 additions & 0 deletions
diff --git a/‎paddle/fluid/ir_adaptor/translator/op_compat_info.h
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+24Lines changed: 24 additions & 0 deletions b/‎paddle/fluid/ir_adaptor/translator/op_compat_info.h
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+24Lines changed: 24 additions & 0 deletions
@@ -1193,8 +1193,8 @@ def OpGenerator(
 
             # generate get op info funciton: inputs
             inputs_info_str = ""
+            input_info_list = []
             if len(op_input_name_list) > 0:
-                input_info_list = []
                 for idx in range(len(op_input_name_list)):
                     input_info_list.append(
                         CONSTRUCT_INPUT_INFO_TEMPLATE.format(
@@ -1204,7 +1204,19 @@ def OpGenerator(
                             no_need_buffer=op_input_no_need_buffer_list[idx],
                         )
                     )
-                inputs_info_str = ", ".join(input_info_list)
+
+            # add mutable attribute as input
+            if len(op_mutable_attribute_name_list) > 0:
+                for idx in range(len(op_mutable_attribute_name_list)):
+                    input_info_list.append(
+                        CONSTRUCT_INPUT_INFO_TEMPLATE.format(
+                            name=op_mutable_attribute_name_list[idx],
+                            typename=op_mutable_attribute_type_list[idx],
+                            optional='false',
+                            no_need_buffer='false',
+                        )
+                    )
+            inputs_info_str = ", ".join(input_info_list)
 
             # generate get op info funciton: outputs
             outputs_info_str = ""
@@ -1223,12 +1235,16 @@ def OpGenerator(
 
             # generate get op info funciton: attributes
             attribute_info_str = ""
+            op_mutable_attribute_name_set = set(op_mutable_attribute_name_list)
             if len(op_attribute_name_list) > 0:
                 attribute_info_list = []
                 for idx in range(len(op_attribute_name_list)):
+                    attribute_name = op_attribute_name_list[idx]
+                    if attribute_name in op_mutable_attribute_name_set:
+                        continue
                     attribute_info_list.append(
                         CONSTRUCT_ATTRIBUTE_INFO_TEMPLATE.format(
-                            name=op_attribute_name_list[idx],
+                            name=attribute_name,
                             typename=op_attribute_type_list[idx],
                             data_type=op_attribute_data_type_list[idx],
                         )
 
@@ -23,6 +23,8 @@
 #include "paddle/fluid/ir/dialect/pd_type_storage.h"
 #include "paddle/fluid/ir/dialect/utils.h"
 #include "paddle/ir/core/dialect_interface.h"
+#include "paddle/ir/core/utils.h"
+#include "paddle/phi/common/data_type.h"
 #include "paddle/phi/core/dense_tensor.h"
 
 namespace paddle {
@@ -107,7 +109,7 @@ void PaddleDialect::initialize() {
   RegisterInterfaces<ParameterConvertInterface>();
 }
 
-void PaddleDialect::PrintType(ir::Type type, std::ostream &os) {
+void PaddleDialect::PrintType(ir::Type type, std::ostream &os) const {
   DenseTensorType tensor_type = type.dyn_cast<DenseTensorType>();
 
   os << "tensor<";
@@ -119,5 +121,27 @@ void PaddleDialect::PrintType(ir::Type type, std::ostream &os) {
   os << ">";
 }
 
+void PaddleDialect::PrintAttribute(ir::Attribute attr, std::ostream &os) const {
+  if (auto int_array_attr = attr.dyn_cast<IntArrayAttribute>()) {
+    phi::IntArray data = int_array_attr.data();
+    os << "IntArray[";
+    const auto &inner_data = data.GetData();
+    ir::PrintInterleave(
+        inner_data.begin(),
+        inner_data.end(),
+        [&os](int64_t i) { os << i; },
+        [&os]() { os << ","; });
+    os << "]";
+  } else if (auto data_type_attr = attr.dyn_cast<DataTypeAttribute>()) {
+    os << data_type_attr.data();
+  } else if (auto place_type_attr = attr.dyn_cast<PlaceAttribute>()) {
+    os << place_type_attr.data();
+  } else if (auto data_layout_attr = attr.dyn_cast<DataLayoutAttribute>()) {
+    os << data_layout_attr.data();
+  } else {
+    os << "<#AttrNotImplemented>";
+  }
+}
+
 }  // namespace dialect
 }  // namespace paddle
@@ -39,7 +39,8 @@ class PaddleDialect : public ir::Dialect {
 
   static const char* name() { return "pd"; }
 
-  void PrintType(ir::Type type, std::ostream& os);
+  void PrintType(ir::Type type, std::ostream& os) const;
+  void PrintAttribute(ir::Attribute type, std::ostream& os) const;
 
  private:
   void initialize();
 
@@ -5,12 +5,14 @@ set(PD_PROGRAM_TRANSLATOR_BINARY_DIR
 set(op_gen_file ${PD_PROGRAM_TRANSLATOR_SOURCE_DIR}/op_compat_gen.py)
 set(op_compat_yaml_file ${PADDLE_SOURCE_DIR}/paddle/phi/api/yaml/op_compat.yaml)
 set(op_compat_source_file ${PD_PROGRAM_TRANSLATOR_SOURCE_DIR}/op_compat_info.cc)
+set(op_compat_templat_file
+    ${PD_PROGRAM_TRANSLATOR_SOURCE_DIR}/op_compat_info.cc.j2)
 
 add_custom_command(
   OUTPUT ${op_compat_source_file}
   COMMAND ${PYTHON_EXECUTABLE} ${op_gen_file} --op_compat_yaml_file
           ${op_compat_yaml_file} --output_source_file ${op_compat_source_file}
-  DEPENDS ${op_gen_file} ${op_compat_yaml_file}
+  DEPENDS ${op_gen_file} ${op_compat_yaml_file} ${op_compat_templat_file}
   VERBATIM)
 
 file(GLOB PD_PROGRAM_TRANSLATOR_SRCS "*.cc")
 
@@ -14,7 +14,7 @@
 
 import argparse
 from pathlib import Path
-from typing import Dict
+from typing import Dict, List, Set
 
 import yaml
 from jinja2 import Environment, FileSystemLoader, StrictUndefined
@@ -46,8 +46,11 @@ def to_phi_and_fluid_op_name(op_item):
 
     with open(op_compat_yaml_file, "r") as f:
         op_compat_infos = yaml.safe_load(f)
-    op_name_mappings = {}
-    op_arg_name_mappings = {}
+    op_name_mappings: Dict[str, str] = {}
+    op_arg_name_mappings: Dict[str, Dict[str, str]] = {}
+    op_mutable_attribues: Dict[str, Set[str]] = {}
+    op_mutable_attribute_infos: Dict[str, Dict[str, List[str]]] = {}
+
     for op_compat_item in op_compat_infos:
 
         def insert_new_mappings(op_name_str: str) -> str:
@@ -64,6 +67,23 @@ def insert_new_arg_mappings(op_name: str, arg_mapping: Dict[str, str]):
                 op_arg_name_mappings[op_name] = {}
             op_arg_name_mappings[op_name].update(arg_mapping)
 
+        def insert_new_mutable_attributes(
+            op_name: str, mutable_attribute_infos: Dict[str, Dict[str, str]]
+        ):
+            op_mutable_attribues[op_name] = set()
+            op_mutable_attribute_infos[op_name] = {}
+            for (
+                attribute_name,
+                mutable_attribute_info,
+            ) in mutable_attribute_infos.items():
+                op_mutable_attribues[op_name].add(attribute_name)
+                op_mutable_attribute_infos[op_name][attribute_name] = []
+                for k, v in mutable_attribute_info.items():
+                    if k == 'tensor_name' or k == 'tensors_name':
+                        op_mutable_attribute_infos[op_name][
+                            attribute_name
+                        ].append(v)
+
         _, legacy_name = insert_new_mappings(op_compat_item["op"])
         legacy_backward_op_names = []
         if "backward" in op_compat_item:
@@ -88,6 +108,14 @@ def insert_new_arg_mappings(op_name: str, arg_mapping: Dict[str, str]):
             for backward_op in legacy_backward_op_names:
                 insert_new_arg_mappings(backward_op, op_compat_item["outputs"])
 
+        if "int_array" in op_compat_item:
+            insert_new_mutable_attributes(
+                legacy_name, op_compat_item["int_array"]
+            )
+
+        if "scalar" in op_compat_item:
+            insert_new_mutable_attributes(legacy_name, op_compat_item["scalar"])
+
     # special op mappings
     op_name_mappings["fetch_v2"] = "fetch"
 
@@ -96,6 +124,8 @@ def insert_new_arg_mappings(op_name: str, arg_mapping: Dict[str, str]):
         op_compat_definition = op_name_normailzer_template.render(
             op_name_pairs=op_name_mappings,
             op_arg_name_pairs=op_arg_name_mappings,
+            op_mutable_attributes=op_mutable_attribues,
+            op_mutable_attribute_infos=op_mutable_attribute_infos,
         )
         f.write(op_compat_definition)
 
 
@@ -21,6 +21,37 @@ OpNameNormalizer::OpNameNormalizer() {
         },
         {% endfor %}
     };
+    op_mutable_attributes = {
+        {% for op_name, mutable_attributes in op_mutable_attributes.items() %}
+        { 
+            "{{op_name}}", 
+            {
+                {% for attribute_name in mutable_attributes %}
+                "{{attribute_name}}",
+                {% endfor %}
+            }, 
+        },
+        {% endfor %}
+    };
+    op_mutable_attribute_infos = {
+        {% for op_name, mutable_attribute_infos in op_mutable_attribute_infos.items() %}
+        { 
+            "{{op_name}}", 
+            {
+                {% for attribute_name, attribute_info in mutable_attribute_infos.items() %}
+                { 
+                    "{{attribute_name}}",
+                    {
+                    {% for candidate_var_name in attribute_info  %}
+                    "{{candidate_var_name}}",
+                    {% endfor %}
+                    },
+                },
+                {% endfor %}
+            }, 
+        },
+        {% endfor %}
+    };
 }
 
 } // namespace translator
 
@@ -15,6 +15,7 @@
 #include <functional>
 #include <string>
 #include <unordered_map>
+#include <unordered_set>
 
 #include "glog/logging.h"
 
@@ -25,13 +26,21 @@
 namespace paddle {
 namespace translator {
 
+using MutableAttributeInfo = std::vector<std::string>;
+
 class OpNameNormalizer {
  private:
   OpNameNormalizer();  // Disallow instantiation outside of the class.
   std::unordered_map<std::string, std::string> op_name_mappings;
   std::unordered_map<std::string, std::unordered_map<std::string, std::string>>
       op_arg_name_mappings;
 
+  std::unordered_map<std::string,
+                     std::unordered_map<std::string, MutableAttributeInfo>>
+      op_mutable_attribute_infos;
+  std::unordered_map<std::string, std::unordered_set<std::string>>
+      op_mutable_attributes;
+
  public:
   OpNameNormalizer(const OpNameNormalizer&) = delete;
   OpNameNormalizer& operator=(const OpNameNormalizer&) = delete;
@@ -50,6 +59,21 @@ class OpNameNormalizer {
     return op_name_mappings.at(op_type);
   }
 
+  bool HasMutableAttribute(const std::string& op_type) {
+    return (op_mutable_attributes.find(op_type) != op_mutable_attributes.end());
+  }
+
+  const std::unordered_set<std::string>* GetMutableAttributes(
+      const std::string& op_type) {
+    if (!HasMutableAttribute(op_type)) return nullptr;
+    return &op_mutable_attributes.at(op_type);
+  }
+
+  const MutableAttributeInfo& GetMutableAttributeInfos(
+      const std::string& op_type, const std::string& arg_name) {
+    return op_mutable_attribute_infos.at(op_type).at(arg_name);
+  }
+
   std::string GetLegacyArgName(const std::string& op_type,
                                const std::string& arg_name) {
     bool is_grad_op = (op_type.find("grad") != std::string::npos);