Update prototype Conformer doc & docstring (#3191)

Summary:
To suppress local warning of flake8 <120

Pull Request resolved: https://github.com/pytorch/audio/pull/3191

Reviewed By: nateanl

Differential Revision: D44263027

Pulled By: mthrok

fbshipit-source-id: b3e48dba21fc5c9813f07e624a93f38a68956c6e

docs/source/prototype.pipelines.rst

+
 torchaudio.prototype.pipelines
 ==============================
 
@@ -9,22 +10,16 @@ The pipelines subpackage contains APIs to models with pretrained weights and rel
 RNN-T Streaming/Non-Streaming ASR
 ---------------------------------
 
-EMFORMER_RNNT_BASE_MUSTC
-~~~~~~~~~~~~~~~~~~~~~~~~
-
-.. container:: py attribute
-
-   .. autodata:: EMFORMER_RNNT_BASE_MUSTC
-      :no-value:
-
-EMFORMER_RNNT_BASE_TEDLIUM3
-~~~~~~~~~~~~~~~~~~~~~~~~~~~
-
-.. container:: py attribute
+Pretrained Models
+~~~~~~~~~~~~~~~~~
 
-   .. autodata:: EMFORMER_RNNT_BASE_TEDLIUM3
-      :no-value:
+.. autosummary::
+   :toctree: generated
+   :nosignatures:
+   :template: autosummary/bundle_data.rst
 
+   EMFORMER_RNNT_BASE_MUSTC
+   EMFORMER_RNNT_BASE_TEDLIUM3
 
 HiFiGAN Vocoder
 ---------------

torchaudio/prototype/pipelines/rnnt_pipeline.py

@@ -18,12 +18,17 @@ EMFORMER_RNNT_BASE_MUSTC = RNNTBundle(
     _segment_length=16,
     _right_context_length=4,
 )
-EMFORMER_RNNT_BASE_MUSTC.__doc__ = """Pre-trained Emformer-RNNT-based ASR pipeline capable of performing both streaming and non-streaming inference.
-    The underlying model is constructed by :py:func:`torchaudio.models.emformer_rnnt_base` and utilizes weights
-    trained on *MuST-C release v2.0* :cite:`CATTONI2021101155` dataset using training script ``train.py``
-    `here <https://github.com/pytorch/audio/tree/main/examples/asr/emformer_rnnt>`__ with ``num_symbols=501``.
-    Please refer to :py:class:`torchaudio.pipelines.RNNTBundle` for usage instructions.
-    """
+EMFORMER_RNNT_BASE_MUSTC.__doc__ = """Pre-trained Emformer-RNNT-based ASR pipeline capable of performing both
+streaming and non-streaming inference.
+
+The underlying model is constructed by :py:func:`torchaudio.models.emformer_rnnt_base`
+and utilizes weights trained on *MuST-C release v2.0* :cite:`CATTONI2021101155` dataset
+using training script ``train.py``
+`here <https://github.com/pytorch/audio/tree/main/examples/asr/emformer_rnnt>`__
+with ``num_symbols=501``.
+
+Please refer to :py:class:`torchaudio.pipelines.RNNTBundle` for usage instructions.
+"""
 
 
 EMFORMER_RNNT_BASE_TEDLIUM3 = RNNTBundle(
@@ -40,11 +45,14 @@ EMFORMER_RNNT_BASE_TEDLIUM3 = RNNTBundle(
     _segment_length=16,
     _right_context_length=4,
 )
-EMFORMER_RNNT_BASE_TEDLIUM3.__doc__ = """Pre-trained Emformer-RNNT-based ASR pipeline capable of performing both streaming and non-streaming inference.
+EMFORMER_RNNT_BASE_TEDLIUM3.__doc__ = """Pre-trained Emformer-RNNT-based ASR pipeline capable of performing both
+streaming and non-streaming inference.
 
-    The underlying model is constructed by :py:func:`torchaudio.models.emformer_rnnt_base`
-    and utilizes weights trained on TED-LIUM Release 3 dataset using training script ``train.py``
-    `here <https://github.com/pytorch/audio/tree/main/examples/asr/emformer_rnnt>`__ with ``num_symbols=501``.
+The underlying model is constructed by :py:func:`torchaudio.models.emformer_rnnt_base`
+and utilizes weights trained on *TED-LIUM Release 3* :cite:`rousseau2012tedlium` dataset
+using training script ``train.py``
+`here <https://github.com/pytorch/audio/tree/main/examples/asr/emformer_rnnt>`__
+with ``num_symbols=501``.
 
-    Please refer to :py:class:`torchaudio.pipelines.RNNTBundle` for usage instructions.
-    """
+Please refer to :py:class:`torchaudio.pipelines.RNNTBundle` for usage instructions.
+"""