[NewIR] modify adagrad_op for inplace judge (#55162)

* add ir output check in OpTest

* add ir grad check in op test

* fix legacy name converter bug

* add more unittest

* fix

* fix warprnn op bug

* add whit list

* polish code

* adagrad modify

* recover

* polish code

* review

---------
Co-authored-by: Nkangguangli <kangguangli@hotmail.com>
Co-authored-by: Nphlrain <phliuhongyu@126.com>

paddle/fluid/ir_adaptor/translator/op_translator.cc

@@ -69,15 +69,25 @@ using InputHandleFn = std::function<ir::OpResult(ir::IrContext*,
 constexpr char kTargetDialectPrefix[] = "pd.";
 constexpr char kEmptyVarName[] = "@EMPTY@";
 
-static const std::unordered_set<std::string> special_inplace_ops = {
+static const std::unordered_set<std::string> special_non_inplace_ops = {
     "batch_norm",
 };
 
+static const std::unordered_set<std::string> special_inplace_ops = {
+    "adagrad",
+    "adam",
+    "adamax",
+    "adamw",
+};
+
 inline bool IsInplace(const OpDesc& op_desc) {
-  bool inplace = false;
+  if (special_non_inplace_ops.count(op_desc.Type())) {
+    return false;
+  }
   if (special_inplace_ops.count(op_desc.Type())) {
-    return inplace;
+    return true;
   }
+  bool inplace = false;
   auto input_names = op_desc.InputArgumentNames();
   auto output_names = op_desc.OutputArgumentNames();
   if (input_names.size() == 0 || output_names.size() == 0) {
@@ -382,7 +392,6 @@ std::vector<ir::OpResult> OpTranscriber::GenerateOperationInput(
         continue;
       }
     }
-
     VLOG(10) << "[op:" << op_desc.Type() << "][input]" << info.name << " "
              << legacy_input_name << " " << legacy_input_vars.size();
 
@@ -414,7 +423,6 @@ std::vector<ir::OpResult> OpTranscriber::GenerateOperationInput(
         (info.type_name.find("IntArrayAttribute") != std::string::npos);
     VLOG(10) << "[op:" << op_desc.Type() << "][input]" << info.name << " "
              << is_vector << " " << info.type_name;
-
     // Specially process TensorArray, this because we cannot distinguish it with
     // Vector<DenseTensor> by other conditions but we cannot support it like
     // Vector<DenseTensor>