[CINN] add paddle.framework.core.is_run_with_cinn() api for running check

paddle/fluid/pybind/pybind.cc

@@ -312,6 +312,15 @@ bool IsCompiledWithCINN() {
 #endif
 }
 
+bool IsRunWithCINN() {
+#ifndef PADDLE_WITH_CINN
+  return false;
+#else
+  return framework::paddle2cinn::CinnCompiler::GetInstance()
+             ->real_compiled_num() > 0;
+#endif
+}
+
 bool IsCompiledWithHETERPS() {
 #ifndef PADDLE_WITH_HETERPS
   return false;
@@ -1909,6 +1918,7 @@ All parameter, weight, gradient are variables in Paddle.
   m.def("is_compiled_with_mpi", IsCompiledWithMPI);
   m.def("is_compiled_with_mpi_aware", IsCompiledWithMPIAWARE);
   m.def("is_compiled_with_cinn", IsCompiledWithCINN);
+  m.def("is_run_with_cinn", IsRunWithCINN);
   m.def("_is_compiled_with_heterps", IsCompiledWithHETERPS);
   m.def("supports_bfloat16", SupportsBfloat16);
   m.def("supports_bfloat16_fast_performance", SupportsBfloat16FastPerformance);

python/paddle/fluid/core.py

@@ -338,6 +338,10 @@ def to_list(s):
         from .libpaddle import _cleanup_mmap_fds
         from .libpaddle import _remove_tensor_list_mmap_fds
         from .libpaddle import _set_max_memory_map_allocation_pool_size
+
+    # CINN
+    from .libpaddle import is_run_with_cinn
+
 except Exception as e:
     if has_paddle_dy_lib:
         sys.stderr.write(

test/dygraph_to_static/test_cinn.py

@@ -64,6 +64,18 @@ def train(self, use_cinn):
             sgd.clear_grad()
 
             res.append(out.numpy())
+
+            if use_cinn and paddle.device.is_compiled_with_cinn():
+                self.assertTrue(
+                    paddle.framework.core.is_run_with_cinn(),
+                    msg="The test was not running with CINN! Please check.",
+                )
+            else:
+                self.assertFalse(
+                    paddle.framework.core.is_run_with_cinn(),
+                    msg="The test should not running with CINN when the whl package was not compiled with CINN! Please check.",
+                )
+
         return res
 
     def test_cinn(self):