Remove tqdm logging when using pipelines. (#3833)

Introduce tqdm_enabled parameter on squad_convert_examples_to_features() default to True and set to False in QA pipelines.

src/transformers/data/processors/squad.py

@@ -263,7 +263,15 @@ def squad_convert_example_to_features_init(tokenizer_for_convert):
 
 
 def squad_convert_examples_to_features(
-    examples, tokenizer, max_seq_length, doc_stride, max_query_length, is_training, return_dataset=False, threads=1
+    examples,
+    tokenizer,
+    max_seq_length,
+    doc_stride,
+    max_query_length,
+    is_training,
+    return_dataset=False,
+    threads=1,
+    tqdm_enabled=True,
 ):
     """
     Converts a list of examples into a list of features that can be directly given as input to a model.
@@ -316,12 +324,15 @@ def squad_convert_examples_to_features(
                 p.imap(annotate_, examples, chunksize=32),
                 total=len(examples),
                 desc="convert squad examples to features",
+                disable=not tqdm_enabled,
             )
         )
     new_features = []
     unique_id = 1000000000
     example_index = 0
-    for example_features in tqdm(features, total=len(features), desc="add example index and unique id"):
+    for example_features in tqdm(
+        features, total=len(features), desc="add example index and unique id", disable=not tqdm_enabled
+    ):
         if not example_features:
             continue
         for example_feature in example_features:

src/transformers/pipelines.py

@@ -958,6 +958,7 @@ class QuestionAnsweringPipeline(Pipeline):
                 kwargs["doc_stride"],
                 kwargs["max_question_len"],
                 False,
+                tqdm_enabled=False,
             )
             for example in examples
         ]