[Dy2Stat]Modify into core.ops.run_program (#33246)

* Modify into core.ops.run_program

* add DDout in core.ops.run_program

* fix typo

* add DOut

* fix typo

* put DOut last

paddle/fluid/pybind/op_function_generator.cc

@@ -65,6 +65,7 @@ std::map<std::string, std::set<std::string>> op_ins_map = {
     {"box_coder", {"PriorBox", "PriorBoxVar", "TargetBox"}},
     {"momentum", {"Param", "Grad", "Velocity", "LearningRate"}},
     {"rnn", {"Input", "PreState", "WeightList", "SequenceLength"}},
+    {"run_program", {"X", "Params"}},
 };
 
 // NOTE(zhiqiu): Like op_ins_map.
@@ -98,6 +99,7 @@ std::map<std::string, std::set<std::string>> op_outs_map = {
     {"rnn", {"DropoutState", "Reserve", "Out", "State"}},
     {"lamb",
      {"ParamOut", "Moment1Out", "Moment2Out", "Beta1PowOut", "Beta2PowOut"}},
+    {"run_program", {"DOut"}},
 };
 
 // NOTE(zhiqiu): Commonly, the outputs in auto-generated OP function are
@@ -148,6 +150,7 @@ std::map<std::string, std::set<std::string>> op_passing_outs_map = {
     {"lamb",
      {"ParamOut", "Moment1Out", "Moment2Out", "Beta1PowOut", "Beta2PowOut"}},
     {"rnn", {"DropoutState"}},
+    {"run_program", {"Out", "DOut", "OutScope"}},
 };
 
 // NOTE(pangyoki): Tensor View Strategy.

python/paddle/fluid/dygraph/dygraph_to_static/partial_program.py

@@ -221,23 +221,15 @@ class PartialProgramLayer(layers.Layer):
 
     def forward(self, inputs):
         in_vars, out_vars, tmp_scope_vec = self._prepare(inputs)
-        framework._dygraph_tracer().trace_op(
-            type='run_program',
-            inputs={
-                'X': valid_vars(in_vars),
-                'Params': valid_vars(self._params)
-            },
-            outputs={
-                'Out': valid_vars(out_vars),
-                'OutScope': tmp_scope_vec,
-                'DOut': valid_vars(self._double_grads)
-            },
-            attrs={
-                'global_block': self.program.desc.block(0),
-                'start_op_index': 0,
-                'end_op_index': self._infer_program.desc.block(0).op_size(),
-                'is_test': not self.training
-            })
+
+        attrs = ('global_block', self.program.desc.block(0), 'start_op_index',
+                 0, 'end_op_index', self._infer_program.desc.block(0).op_size(),
+                 'is_test', not self.training)
+        core.ops.run_program(
+            valid_vars(in_vars),
+            valid_vars(self._params),
+            valid_vars(out_vars), tmp_scope_vec,
+            valid_vars(self._double_grads), *attrs)
 
         restored_nest_out = self._restore_out(out_vars)
         return self._remove_no_value(restored_nest_out)