Add lraspp docs (#5923)

* add docs

* Small fix

* Update docs/source/models/lraspp.rst

Co-authored-by: Nicolas Hug <[email protected]>

Author: oke-aditya

docs/source/models/lraspp.rst

@@ -0,0 +1,22 @@
+LRASPP
+======
+
+.. currentmodule:: torchvision.models.segmentation
+
+The LRASPP model is based on the `Searching for MobileNetV3 <https://arxiv.org/abs/1905.02244>`_ paper.
+
+Model builders
+--------------
+
+The following model builders can be used to instantiate a FCN model, with or
+without pre-trained weights. All the model builders internally rely on the
+``torchvision.models.segmentation.LRASPP`` base class. Please refer to the `source
+code
+<https://github.com/pytorch/vision/blob/main/torchvision/models/segmentation/lraspp.py>`_ for
+more details about this class.
+
+.. autosummary::
+    :toctree: generated/
+    :template: function.rst
+
+    lraspp_mobilenet_v3_large

docs/source/models_new.rst

@@ -74,7 +74,7 @@ pre-trained weights:
 
    models/deeplabv3
    models/fcn
-
+   models/lraspp
 
 Table of all available semantic segmentation weights
 ----------------------------------------------------

torchvision/models/segmentation/lraspp.py

@@ -123,13 +123,28 @@ def lraspp_mobilenet_v3_large(
     weights_backbone: Optional[MobileNet_V3_Large_Weights] = MobileNet_V3_Large_Weights.IMAGENET1K_V1,
     **kwargs: Any,
 ) -> LRASPP:
-    """Constructs a Lite R-ASPP Network model with a MobileNetV3-Large backbone.
+    """Constructs a Lite R-ASPP Network model with a MobileNetV3-Large backbone from
+    `Searching for MobileNetV3 <https://arxiv.org/abs/1905.02244>`_ paper.
 
     Args:
-        weights (LRASPP_MobileNet_V3_Large_Weights, optional): The pretrained weights for the model
-        progress (bool): If True, displays a progress bar of the download to stderr
-        num_classes (int, optional): number of output classes of the model (including the background)
-        weights_backbone (MobileNet_V3_Large_Weights, optional): The pretrained weights for the backbone
+        weights (:class:`~torchvision.models.segmentation.LRASPP_MobileNet_V3_Large_Weights`, optional): The
+            pretrained weights to use. See
+            :class:`~torchvision.models.segmentation.LRASPP_MobileNet_V3_Large_Weights` 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.
+        num_classes (int, optional): number of output classes of the model (including the background).
+        aux_loss (bool, optional): If True, it uses an auxiliary loss.
+        weights_backbone (:class:`~torchvision.models.MobileNet_V3_Large_Weights`, optional): The pretrained
+            weights for the backbone.
+        **kwargs: parameters passed to the ``torchvision.models.segmentation.LRASPP``
+            base class. Please refer to the `source code
+            <https://github.com/pytorch/vision/blob/main/torchvision/models/segmentation/lraspp.py>`_
+            for more details about this class.
+
+    .. autoclass:: torchvision.models.segmentation.LRASPP_MobileNet_V3_Large_Weights
+        :members:
     """
     if kwargs.pop("aux_loss", False):
         raise NotImplementedError("This model does not use auxiliary loss")