Centralize logging (#6434)

* Logging

* Style

* hf_logging > utils.logging

* Address @thomwolf's comments

* Update test

* Update src/transformers/benchmark/benchmark_utils.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Revert bad change

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

src/transformers/commands/convert.py

@@ -1,8 +1,9 @@
 from argparse import ArgumentParser, Namespace
-from logging import getLogger
 
 from transformers.commands import BaseTransformersCLICommand
 
+from ..utils import logging
+
 
 def convert_command_factory(args: Namespace):
     """
@@ -52,7 +53,7 @@ class ConvertCommand(BaseTransformersCLICommand):
         finetuning_task_name: str,
         *args
     ):
-        self._logger = getLogger("transformers-cli/converting")
+        self._logger = logging.get_logger("transformers-cli/converting")
 
         self._logger.info("Loading model {}".format(model_type))
         self._model_type = model_type

src/transformers/commands/run.py

@@ -1,11 +1,12 @@
-import logging
 from argparse import ArgumentParser
 
 from transformers.commands import BaseTransformersCLICommand
 from transformers.pipelines import SUPPORTED_TASKS, Pipeline, PipelineDataFormat, pipeline
 
+from ..utils import logging
 
-logger = logging.getLogger(__name__)  # pylint: disable=invalid-name
+
+logger = logging.get_logger(__name__)  # pylint: disable=invalid-name
 
 
 def try_infer_format_from_ext(path: str):

src/transformers/commands/serving.py

@@ -1,4 +1,3 @@
-import logging
 from argparse import ArgumentParser, Namespace
 from typing import Any, List, Optional
 
@@ -6,6 +5,8 @@ from transformers import Pipeline
 from transformers.commands import BaseTransformersCLICommand
 from transformers.pipelines import SUPPORTED_TASKS, pipeline
 
+from ..utils import logging
+
 
 try:
     from fastapi import Body, FastAPI, HTTPException

src/transformers/commands/train.py

@@ -1,11 +1,12 @@
 import os
 from argparse import ArgumentParser, Namespace
-from logging import getLogger
 
 from transformers import SingleSentenceClassificationProcessor as Processor
 from transformers import TextClassificationPipeline, is_tf_available, is_torch_available
 from transformers.commands import BaseTransformersCLICommand
 
+from ..utils import logging
+
 
 if not is_tf_available() and not is_torch_available():
     raise RuntimeError("At least one of PyTorch or TensorFlow 2.0+ should be installed to use CLI training")
@@ -76,7 +77,7 @@ class TrainCommand(BaseTransformersCLICommand):
         train_parser.set_defaults(func=train_command_factory)
 
     def __init__(self, args: Namespace):
-        self.logger = getLogger("transformers-cli/training")
+        self.logger = logging.get_logger("transformers-cli/training")
 
         self.framework = "tf" if is_tf_available() else "torch"