diff --git a/docs/source/index.rst b/docs/source/index.rst
index 2d6d3eea137..a7afe60bc28 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -108,6 +108,7 @@ Features described in this documentation are classified by release status:
    torch.random <random>
    masked
    torch.nested <nested>
+   size
    sparse
    storage
    torch.testing <testing>
diff --git a/docs/source/size.rst b/docs/source/size.rst
new file mode 100644
index 00000000000..340836e000e
--- /dev/null
+++ b/docs/source/size.rst
@@ -0,0 +1,25 @@
+torch.Size
+===================================
+
+:class:`torch.Size` is the result type of a call to :func:`torch.Tensor.size`. It describes the size of all dimensions
+of the original tensor. As a subclass of :class:`tuple`, it supports common sequence operations like indexing and
+length.
+
+
+Example::
+
+    >>> x = torch.ones(10, 20, 30)
+    >>> s = x.size()
+    >>> s
+    torch.Size([10, 20, 30])
+    >>> s[1]
+    20
+    >>> len(s)
+    3
+
+
+
+.. autoclass:: torch.Size
+   :members:
+   :undoc-members:
+   :inherited-members:
diff --git a/torch/__init__.py b/torch/__init__.py
index 013e5aa832b..846038e3510 100644
--- a/torch/__init__.py
+++ b/torch/__init__.py
@@ -1624,8 +1624,8 @@ import torch.nn.intrinsic
 _C._init_names(list(torch._storage_classes))
 
 # attach docstrings to torch and tensor functions
-from . import _torch_docs, _tensor_docs, _storage_docs
-del _torch_docs, _tensor_docs, _storage_docs
+from . import _torch_docs, _tensor_docs, _storage_docs, _size_docs
+del _torch_docs, _tensor_docs, _storage_docs, _size_docs
 
 
 def compiled_with_cxx11_abi() -> builtins.bool:
diff --git a/torch/_size_docs.py b/torch/_size_docs.py
new file mode 100644
index 00000000000..58587be32f1
--- /dev/null
+++ b/torch/_size_docs.py
@@ -0,0 +1,38 @@
+"""Adds docstrings to torch.Size functions"""
+
+import torch._C
+from torch._C import _add_docstr as add_docstr
+
+
+def add_docstr_all(method, docstr):
+    add_docstr(getattr(torch._C.Size, method), docstr)
+
+
+add_docstr_all(
+    "numel",
+    """
+numel() -> int
+
+Returns the number of elements a :class:`torch.Tensor` with the given size would contain.
+
+More formally, for a tensor ``x = tensor.ones(10, 10)`` with size ``s = torch.Size([10, 10])``,
+``x.numel() == x.size().numel() == s.numel() == 100`` holds true.
+
+Example::
+    >>> x=torch.ones(10, 10)
+    >>> s=x.size()
+    >>> s
+    torch.Size([10, 10])
+    >>> s.numel()
+    100
+    >>> x.numel() == s.numel()
+    True
+
+
+.. warning::
+
+    This function does not return the number of dimensions described by :class:`torch.Size`, but instead the number
+    of elements a :class:`torch.Tensor` with that size would contain.
+
+""",
+)