[DOC] Add quantized inception updated documentation. (#6005)

* [DOC] Add quantized inception updated documentation.

* Add missing file.

* Apply suggestions from code review

[ENH] Improve doc thanks to various code review comments.
Co-authored-by: Aditya Oke <47158509+oke-aditya@users.noreply.github.com>
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>
Co-authored-by: Aditya Oke <47158509+oke-aditya@users.noreply.github.com>
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

docs/source/models/inception_quant.rst

+Quantized InceptionV3
+=====================
+
+.. currentmodule:: torchvision.models.quantization
+
+The Quantized Inception model is based on the `Rethinking the Inception Architecture for
+Computer Vision <https://arxiv.org/abs/1512.00567>`__ paper.
+
+
+Model builders
+--------------
+
+The following model builders can be used to instanciate a quantized Inception
+model, with or without pre-trained weights. All the model builders internally
+rely on the ``torchvision.models.quantization.inception.QuantizableInception3``
+base class. Please refer to the `source code
+<https://github.com/pytorch/vision/blob/main/torchvision/models/quantization/inception.py>`_
+for more details about this class.
+
+.. autosummary::
+    :toctree: generated/
+    :template: function.rst
+
+    inception_v3

docs/source/models_new.rst

@@ -147,6 +147,7 @@ pre-trained weights:
    :maxdepth: 1
 
    models/googlenet_quant
+   models/inception_quant
    models/mobilenetv2_quant
 
 |

torchvision/models/quantization/inception.py

@@ -208,7 +208,7 @@ def inception_v3(
     **kwargs: Any,
 ) -> QuantizableInception3:
     r"""Inception v3 model architecture from
-    `"Rethinking the Inception Architecture for Computer Vision" <http://arxiv.org/abs/1512.00567>`_.
+    `Rethinking the Inception Architecture for Computer Vision <http://arxiv.org/abs/1512.00567>`__.
 
     .. note::
         **Important**: In contrast to the other models the inception_v3 expects tensors with a size of
@@ -219,10 +219,26 @@ def inception_v3(
     GPU inference is not yet supported
 
     Args:
-        weights (Inception_V3_QuantizedWeights or Inception_V3_Weights, optional): The pretrained
-            weights for the model
-        progress (bool): If True, displays a progress bar of the download to stderr
-        quantize (bool): If True, return a quantized version of the model
+        weights (:class:`~torchvision.models.quantization.Inception_V3_QuantizedWeights` or :class:`~torchvision.models.Inception_V3_Weights`, optional): The pretrained
+            weights for the model. See
+            :class:`~torchvision.models.quantization.Inception_V3_QuantizedWeights` below for
+            more details, and possible values. By default, no pre-trained
+            weights are used.
+        progress (bool, optional): If True, displays a progress bar of the download to stderr.
+            Default is True.
+        quantize (bool, optional): If True, return a quantized version of the model.
+            Default is False.
+        **kwargs: parameters passed to the ``torchvision.models.quantization.QuantizableInception3``
+            base class. Please refer to the `source code
+            <https://github.com/pytorch/vision/blob/main/torchvision/models/quantization/inception.py>`_
+            for more details about this class.
+
+    .. autoclass:: torchvision.models.quantization.Inception_V3_QuantizedWeights
+        :members:
+
+    .. autoclass:: torchvision.models.Inception_V3_Weights
+        :members:
+        :noindex:
     """
     weights = (Inception_V3_QuantizedWeights if quantize else Inception_V3_Weights).verify(weights)