Update no_trainer examples to use new logger (#17044)

* Propagate and fix imports

examples/pytorch/summarization/run_summarization_no_trainer.py

@@ -36,6 +36,7 @@ from tqdm.auto import tqdm
 
 import transformers
 from accelerate import Accelerator
+from accelerate.logging import get_logger
 from accelerate.utils import set_seed
 from filelock import FileLock
 from huggingface_hub import Repository
@@ -54,7 +55,7 @@ from transformers.utils import get_full_repo_name, is_offline_mode
 from transformers.utils.versions import require_version
 
 
-logger = logging.getLogger(__name__)
+logger = get_logger(__name__)
 require_version("datasets>=1.8.0", "To fix: pip install -r examples/pytorch/summarization/requirements.txt")
 
 # You should update this to your particular problem to have better documentation of `model_type`
@@ -322,11 +323,7 @@ def main():
         datefmt="%m/%d/%Y %H:%M:%S",
         level=logging.INFO,
     )
-    logger.info(accelerator.state)
-
-    # Setup logging, we only want one process per machine to log things on the screen.
-    # accelerator.is_local_main_process is only True for one process per machine.
-    logger.setLevel(logging.INFO if accelerator.is_local_main_process else logging.ERROR)
+    logger.info(accelerator.state, main_process_only=False)
     if accelerator.is_local_main_process:
         datasets.utils.logging.set_verbosity_warning()
         transformers.utils.logging.set_verbosity_info()