Update no_trainer examples to use new logger (#17044)

* Propagate and fix imports

examples/pytorch/image-classification/run_image_classification_no_trainer.py

@@ -37,6 +37,7 @@ from tqdm.auto import tqdm
 
 import transformers
 from accelerate import Accelerator
+from accelerate.logging import get_logger
 from accelerate.utils import set_seed
 from huggingface_hub import Repository
 from transformers import (
@@ -50,7 +51,7 @@ from transformers.utils import get_full_repo_name
 from transformers.utils.versions import require_version
 
 
-logger = logging.getLogger(__name__)
+logger = get_logger(__name__)
 
 require_version("datasets>=2.0.0", "To fix: pip install -r examples/pytorch/image-classification/requirements.txt")
 
@@ -188,11 +189,7 @@ 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()