change default log level (#45093)

.gitignore

@@ -71,3 +71,8 @@ paddle/fluid/pybind/eager_final_state_op_function.cc
 paddle/fluid/operators/generated_op.cc
 paddle/phi/ops/compat/generated_sig.cc
 paddle/phi/api/yaml/parsed_apis/
+python/paddle/utils/code_gen/
+paddle/fluid/pybind/tmp_eager_final_state_op_function_impl.h
+paddle/fluid/pybind/eager_final_state_op_function_impl.h
+paddle/fluid/pybind/eager_op_function_impl.h
+paddle/fluid/pybind/op_function_impl.h

python/paddle/distributed/fleet/meta_parallel/sharding/group_sharded_stage2.py

@@ -39,7 +39,7 @@ from .group_sharded_storage import GradStorage
 from .group_sharded_optimizer_stage2 import GroupShardedOptimizerStage2
 from .group_sharded_utils import Taskflow, Type, device_guard
 
-logger_ = get_logger(logging.INFO)
+logger_ = get_logger(logging.WARNING)
 
 
 def _trainable(param):

python/paddle/distributed/sharding/group_sharded.py

@@ -34,7 +34,7 @@ from paddle.distributed.fleet.meta_parallel.sharding.group_sharded_stage2 import
 from paddle.distributed.fleet.meta_parallel.sharding.group_sharded_stage3 import GroupShardedStage3
 from paddle.distributed.fleet.meta_parallel.sharding.group_sharded_utils import GroupShardedScaler
 
-logger_ = get_logger(logging.INFO)
+logger_ = get_logger(logging.WARNING)
 
 
 def group_sharded_parallel(model,