Wav2Vec2 (#9659)

* add raw scaffold

* implement feat extract layers

* make style

* remove +

* correctly convert weights

* make feat extractor work

* make feature extraction proj work

* run forward pass

* finish forward pass

* Succesful decoding example

* remove unused files

* more changes

* add wav2vec tokenizer

* add new structure

* fix run forward

* add other layer norm architecture

* finish 2nd structure

* add model tests

* finish tests for tok and model

* clean-up

* make style

* finish docstring for model and config

* make style

* correct docstring

* correct tests

* change checkpoints to fairseq

* fix examples

* finish wav2vec2

* make style

* apply sylvains suggestions

* apply lysandres suggestions

* change print to log.info

* re-add assert statement

* add input_values as required input name

* finish wav2vec2 tokenizer

* Update tests/test_tokenization_wav2vec2.py

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* apply sylvains suggestions

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

src/transformers/testing_utils.py

@@ -31,6 +31,7 @@ from .file_utils import (
     is_pandas_available,
     is_scatter_available,
     is_sentencepiece_available,
+    is_soundfile_availble,
     is_tf_available,
     is_tokenizers_available,
     is_torch_available,
@@ -367,6 +368,19 @@ def require_ray(test_case):
         return test_case
 
 
+def require_soundfile(test_case):
+    """
+    Decorator marking a test that requires soundfile
+
+    These tests are skipped when soundfile isn't installed.
+
+    """
+    if not is_soundfile_availble():
+        return unittest.skip("test requires soundfile")(test_case)
+    else:
+        return test_case
+
+
 def get_gpu_count():
     """
     Return the number of available gpus (regardless of whether torch or tf is used)