use logging.INFO as logging level for ipex launcher (#2675)

intel_extension_for_pytorch/cpu/launch/cpu_info.py

@@ -216,7 +216,10 @@ def verbose(self, level, msg, warning_type=None):
             assert (
                 level in logging_fn.keys()
             ), f"Unrecognized logging level {level} is detected. Available levels are {logging_fn.keys()}."
-            logging_fn[level](msg, _type=warning_type)
+            if warning_type:
+                logging_fn[level](msg, _type=warning_type)
+            else:
+                logging_fn[level](msg)
         else:
             print(msg)
 

intel_extension_for_pytorch/cpu/launch/launch.py

@@ -8,8 +8,10 @@
 import intel_extension_for_pytorch.cpu.auto_ipex as auto_ipex
 from .launcher_distributed import DistributedTrainingLauncher
 from .launcher_multi_instances import MultiInstancesLauncher
-from ...utils._logger import logger, WarningType, format_str
+from ...utils._logger import WarningType, format_str
 
+logger = logging.getLogger("IPEX-launcher")
+logger.setLevel(logging.INFO)
 """
 This is a script for launching PyTorch training and inference on Intel Xeon CPU with optimal configurations.
 Now, single instance inference/training, multi-instance inference/training and distributed training

intel_extension_for_pytorch/cpu/launch/launcher_base.py

@@ -85,7 +85,10 @@ def verbose(self, level, msg, warning_type=None):
             assert (
                 level in logging_fn.keys()
             ), f"Unrecognized logging level {level} is detected. Available levels are {logging_fn.keys()}."
-            logging_fn[level](msg, _type=warning_type)
+            if warning_type:
+                logging_fn[level](msg, _type=warning_type)
+            else:
+                logging_fn[level](msg)
         else:
             print(msg)