[PrimCinn]Fix some vars are wrongly gc in CINN+InterpreterCore (#50116)

* [PrimCinn]Fix some vars are wrongly gc in CINN+InterpreterCore

* fix baseline unittest config

* fix code style

paddle/fluid/operators/cinn/cinn_launch_context.cc

@@ -119,12 +119,16 @@ CinnLaunchContext::CinnLaunchContext(const framework::ir::Graph& graph,
   // collect variables name list to be skipped in GC
   skip_eager_vars_.reserve(input_var_names.size() + output_var_names.size());
   auto add_skip_var_fn = [&outer_varinfo, this](const std::string& var_name) {
+    // Always consider Input/Output of Graph as skip_gc_vars, because
+    // InterpreterCore has no eager_deletion_op to deal with it.
+
+    VLOG(4) << "Append a skip_gc_var for InterpreterCore:" << var_name;
+    skip_gc_vars_.insert(var_name);
     // if a var exists at the outer_varinfo map, that means it will be
     // erased by the following eager_deletion_op of current cinn_launch op
     if (!outer_varinfo.count(var_name)) {
       skip_eager_vars_.emplace_back(var_name);
-      skip_gc_vars_.insert(var_name);
-      VLOG(4) << "Append a skip_gc_var:" << var_name;
+      VLOG(4) << "Append a skip_gc_var for PE:" << var_name;
     }
   };
   std::for_each(

python/paddle/fluid/tests/unittests/prim/prim/vjp/static/test_comp_add_grad.py

@@ -91,7 +91,7 @@ class TestAddGradComp(unittest.TestCase):
     def test_cinn(self):
         paddle.disable_static()
         dy_res = self.train(use_prim=False, use_cinn=False)
-        comp_st_cinn_res = self.train(use_prim=True, use_cinn=False)
+        comp_st_cinn_res = self.train(use_prim=True, use_cinn=True)
 
         for i in range(len(dy_res)):
             np.testing.assert_allclose(

python/paddle/fluid/tests/unittests/prim/prim/vjp/static/test_comp_add_tanh_grad.py

@@ -92,7 +92,7 @@ class TestDivGradComp(unittest.TestCase):
     def test_cinn(self):
         paddle.disable_static()
         dy_res = self.train(use_prim=False, use_cinn=False)
-        comp_st_cinn_res = self.train(use_prim=True, use_cinn=False)
+        comp_st_cinn_res = self.train(use_prim=True, use_cinn=True)
 
         for i in range(len(dy_res)):
             np.testing.assert_allclose(

python/paddle/fluid/tests/unittests/prim/prim/vjp/static/test_comp_div_grad.py

@@ -91,7 +91,7 @@ class TestDivGradComp(unittest.TestCase):
     def test_cinn(self):
         paddle.disable_static()
         dy_res = self.train(use_prim=False, use_cinn=False)
-        comp_st_cinn_res = self.train(use_prim=True, use_cinn=False)
+        comp_st_cinn_res = self.train(use_prim=True, use_cinn=True)
 
         for i in range(len(dy_res)):
             np.testing.assert_allclose(

python/paddle/fluid/tests/unittests/prim/prim/vjp/static/test_comp_sqrt_grad.py

@@ -70,7 +70,7 @@ class TestSqrtGradComp(unittest.TestCase):
     def test_cinn(self):
         paddle.disable_static()
         dy_res = self.train(use_prim=False, use_cinn=False)
-        comp_st_cinn_res = self.train(use_prim=True, use_cinn=False)
+        comp_st_cinn_res = self.train(use_prim=True, use_cinn=True)
 
         for i in range(len(dy_res)):
             np.testing.assert_allclose(

python/paddle/fluid/tests/unittests/prim/prim/vjp/static/test_comp_sub_grad.py

@@ -92,7 +92,7 @@ class TestDivGradComp(unittest.TestCase):
     def test_cinn(self):
         paddle.disable_static()
         dy_res = self.train(use_prim=False, use_cinn=False)
-        comp_st_cinn_res = self.train(use_prim=True, use_cinn=False)
+        comp_st_cinn_res = self.train(use_prim=True, use_cinn=True)
 
         for i in range(len(dy_res)):
             np.testing.assert_allclose(

python/paddle/fluid/tests/unittests/prim/prim/vjp/static/test_comp_tanh_grad.py

@@ -70,7 +70,7 @@ class TestTanhGradComp(unittest.TestCase):
     def test_cinn(self):
         paddle.disable_static()
         dy_res = self.train(use_prim=False, use_cinn=False)
-        comp_st_cinn_res = self.train(use_prim=True, use_cinn=False)
+        comp_st_cinn_res = self.train(use_prim=True, use_cinn=True)
 
         for i in range(len(dy_res)):
             np.testing.assert_allclose(