[Docs] fix inconsistent docs in conv1d, conv2d, and conv3d (pytorch#1…

…35894)

Addresses pytorch#135880
Pull Request resolved: pytorch#135894
Approved by: https://github.com/mikaylagawarecki, https://github.com/malfet

torch/nn/modules/conv.py

@@ -270,14 +270,14 @@ class Conv1d(_ConvNd):
         stride (int or tuple, optional): Stride of the convolution. Default: 1
         padding (int, tuple or str, optional): Padding added to both sides of
             the input. Default: 0
-        padding_mode (str, optional): ``'zeros'``, ``'reflect'``,
-            ``'replicate'`` or ``'circular'``. Default: ``'zeros'``
         dilation (int or tuple, optional): Spacing between kernel
             elements. Default: 1
         groups (int, optional): Number of blocked connections from input
             channels to output channels. Default: 1
         bias (bool, optional): If ``True``, adds a learnable bias to the
             output. Default: ``True``
+        padding_mode (str, optional): ``'zeros'``, ``'reflect'``,
+            ``'replicate'`` or ``'circular'``. Default: ``'zeros'``
 
     """.format(
             **reproducibility_notes, **convolution_notes
@@ -443,13 +443,13 @@ class Conv2d(_ConvNd):
         stride (int or tuple, optional): Stride of the convolution. Default: 1
         padding (int, tuple or str, optional): Padding added to all four sides of
             the input. Default: 0
-        padding_mode (str, optional): ``'zeros'``, ``'reflect'``,
-            ``'replicate'`` or ``'circular'``. Default: ``'zeros'``
         dilation (int or tuple, optional): Spacing between kernel elements. Default: 1
         groups (int, optional): Number of blocked connections from input
             channels to output channels. Default: 1
         bias (bool, optional): If ``True``, adds a learnable bias to the
             output. Default: ``True``
+        padding_mode (str, optional): ``'zeros'``, ``'reflect'``,
+            ``'replicate'`` or ``'circular'``. Default: ``'zeros'``
     """.format(
             **reproducibility_notes, **convolution_notes
         )
@@ -615,10 +615,10 @@ class Conv3d(_ConvNd):
         stride (int or tuple, optional): Stride of the convolution. Default: 1
         padding (int, tuple or str, optional): Padding added to all six sides of
             the input. Default: 0
-        padding_mode (str, optional): ``'zeros'``, ``'reflect'``, ``'replicate'`` or ``'circular'``. Default: ``'zeros'``
         dilation (int or tuple, optional): Spacing between kernel elements. Default: 1
         groups (int, optional): Number of blocked connections from input channels to output channels. Default: 1
         bias (bool, optional): If ``True``, adds a learnable bias to the output. Default: ``True``
+        padding_mode (str, optional): ``'zeros'``, ``'reflect'``, ``'replicate'`` or ``'circular'``. Default: ``'zeros'``
     """.format(
             **reproducibility_notes, **convolution_notes
         )
@@ -1467,14 +1467,14 @@ class LazyConv1d(_LazyConvXdMixin, Conv1d):  # type: ignore[misc]
         stride (int or tuple, optional): Stride of the convolution. Default: 1
         padding (int or tuple, optional): Zero-padding added to both sides of
             the input. Default: 0
-        padding_mode (str, optional): ``'zeros'``, ``'reflect'``,
-            ``'replicate'`` or ``'circular'``. Default: ``'zeros'``
         dilation (int or tuple, optional): Spacing between kernel
             elements. Default: 1
         groups (int, optional): Number of blocked connections from input
             channels to output channels. Default: 1
         bias (bool, optional): If ``True``, adds a learnable bias to the
             output. Default: ``True``
+        padding_mode (str, optional): ``'zeros'``, ``'reflect'``,
+            ``'replicate'`` or ``'circular'``. Default: ``'zeros'``
 
     .. seealso:: :class:`torch.nn.Conv1d` and :class:`torch.nn.modules.lazy.LazyModuleMixin`
     """
@@ -1536,14 +1536,14 @@ class LazyConv2d(_LazyConvXdMixin, Conv2d):  # type: ignore[misc]
         stride (int or tuple, optional): Stride of the convolution. Default: 1
         padding (int or tuple, optional): Zero-padding added to both sides of
             the input. Default: 0
-        padding_mode (str, optional): ``'zeros'``, ``'reflect'``,
-            ``'replicate'`` or ``'circular'``. Default: ``'zeros'``
         dilation (int or tuple, optional): Spacing between kernel
             elements. Default: 1
         groups (int, optional): Number of blocked connections from input
             channels to output channels. Default: 1
         bias (bool, optional): If ``True``, adds a learnable bias to the
             output. Default: ``True``
+        padding_mode (str, optional): ``'zeros'``, ``'reflect'``,
+            ``'replicate'`` or ``'circular'``. Default: ``'zeros'``
 
     .. seealso:: :class:`torch.nn.Conv2d` and :class:`torch.nn.modules.lazy.LazyModuleMixin`
     """
@@ -1606,14 +1606,14 @@ class LazyConv3d(_LazyConvXdMixin, Conv3d):  # type: ignore[misc]
         stride (int or tuple, optional): Stride of the convolution. Default: 1
         padding (int or tuple, optional): Zero-padding added to both sides of
             the input. Default: 0
-        padding_mode (str, optional): ``'zeros'``, ``'reflect'``,
-            ``'replicate'`` or ``'circular'``. Default: ``'zeros'``
         dilation (int or tuple, optional): Spacing between kernel
             elements. Default: 1
         groups (int, optional): Number of blocked connections from input
             channels to output channels. Default: 1
         bias (bool, optional): If ``True``, adds a learnable bias to the
             output. Default: ``True``
+        padding_mode (str, optional): ``'zeros'``, ``'reflect'``,
+            ``'replicate'`` or ``'circular'``. Default: ``'zeros'``
 
     .. seealso:: :class:`torch.nn.Conv3d` and :class:`torch.nn.modules.lazy.LazyModuleMixin`
     """