[Debug][PaddleV3] 测试 inference 模型导入卡住的问题

test_autoscan/onnx/onnxbase.py

@@ -224,7 +224,7 @@ def _mk_paddle_res(self, ver):
             self.run_dynamic = True
 
         # TODO(megemini): create_predictor stuck
-        self.run_dynamic = True
+        # self.run_dynamic = True
 
         if self.run_dynamic:
             logger.info(">>> self.run_dynamic...")
@@ -275,7 +275,13 @@ def _mk_paddle_res(self, ver):
 
             logger.info(">>> config.disable_glog_info...")
 
-            config.disable_glog_info()
+            # TODO(megemini): debug
+            # config.disable_glog_info()
+            # TODO(megemini):
+            try:
+                config.disable_mkldnn()
+            except:
+                pass
 
             logger.info(">>> config.pass_builder...")
 

test_autoscan/run_autoscan_onnx.sh

@@ -27,8 +27,9 @@ do
 
   echo " >>> begin test ..."
 
-  python ${var} > ${log_name} 2>&1
-  # python ${var}
+  # TODO(megemini): debug
+  # GLOG_v=3 python ${var} > ${log_name} 2>&1
+  GLOG_v=3 python ${var}
 
 done
 
@@ -48,6 +49,9 @@ do
         cat ${log_name}
   fi
 
+  # TODO(megemini): debug, only run one test
+  break
+
 done
 
 tar zcvf logs.tar.gz logs

test_autoscan/run_autoscan_torch.sh

@@ -28,7 +28,10 @@ for var in ${file_arr[@]}
 do
   log_name=${logs_path}/${var}.log
   echo " Now start test: ${var}"
-  python ${var} > ${log_name} 2>&1
+
+  # TODO(megemini):
+  # python ${var} > ${log_name} 2>&1
+  GLOG_v=3 python ${var}
 
 done
 
@@ -46,6 +49,9 @@ do
         cat ${log_name}
   fi
 
+  # TODO(megemini): debug, only run one test
+  break
+
 done
 
 tar zcvf logs.tar.gz logs

test_autoscan/torch/torchbase.py

@@ -181,7 +181,7 @@ def _mk_paddle_res(self, ):
             self.run_dynamic = True
 
         # TODO(megemini): create_predictor stuck
-        self.run_dynamic = True
+        # self.run_dynamic = True
 
         if self.run_dynamic:
             paddle_path = os.path.join(self.pwd, self.name,
@@ -213,7 +213,15 @@ def _mk_paddle_res(self, ):
             config.enable_memory_optim()
             # disable feed, fetch OP, needed by zero_copy_run
             config.switch_use_feed_fetch_ops(False)
-            config.disable_glog_info()
+
+            # TODO(megemini): debug
+            # config.disable_glog_info()
+            # TODO(megemini):
+            try:
+                config.DisableMKLDNN()
+            except:
+                pass
+
             pass_builder = config.pass_builder()
             predictor = create_predictor(config)
             input_names = predictor.get_input_names()