ci coverage.

paddle/fluid/inference/api/analysis_predictor.cc

@@ -278,15 +278,8 @@ bool AnalysisPredictor::CreateExecutor() {
 #endif
   } else if (config_.NNAdapter().use_nnadapter) {
     if (config_.lite_engine_enabled()) {
-#ifdef LITE_SUBGRAPH_WITH_NNADAPTER
-      // Currently, Paddle-Lite's NNAdapter user interface only supports the
-      // transfer
-      // of Host data pointers. If it is currently used as a subgraph, execution
-      // efficiency will be sacrificed, so it is temporarily set to cpu place.
-      // And, the current lite engine of xpu must execute all parts of the
-      // model.
       place_ = paddle::platform::CPUPlace();
-#else
+#ifndef LITE_SUBGRAPH_WITH_NNADAPTER
       PADDLE_THROW(
           platform::errors::Unavailable("You tried to use an NNAdapter lite "
                                         "engine, but Paddle was not compiled "

paddle/fluid/inference/api/analysis_predictor_tester.cc

@@ -61,6 +61,24 @@ TEST(AnalysisPredictor, analysis_off) {
   ASSERT_TRUE(predictor->Run(inputs, &outputs));
 }
 
+TEST(AnalysisPredictor, lite_nn_adapter_npu) {
+  AnalysisConfig config;
+  config.SetModel(FLAGS_dirname);
+  config.EnableLiteEngine();
+  config.NNAdapter()
+      .Disable()
+      .Enable()
+      .SetDeviceNames({"huawei_ascend_npu"})
+      .SetContextProperties("HUAWEI_ASCEND_NPU_SELECTED_DEVICE_IDS=0")
+      .SetModelCacheDir("cache_dirr")
+      .SetSubgraphPartitionConfigPath("")
+      .SetModelCacheBuffers("c1", {'c'});
+#ifndef LITE_SUBGRAPH_WITH_NNADAPTER
+  EXPECT_THROW(CreatePaddlePredictor<AnalysisConfig>(config),
+               paddle::platform::EnforceNotMet);
+#endif
+}
+
 TEST(AnalysisPredictor, analysis_on) {
   AnalysisConfig config;
   config.SetModel(FLAGS_dirname);