From 4fb4aa3e70851a62b8ced8aa8ee89519f9d8d92e Mon Sep 17 00:00:00 2001
From: Diego Sandoval <dsandovalv@gmail.com>
Date: Thu, 21 Nov 2024 20:13:39 +0000
Subject: [PATCH] Updated docstrings referring to `torch.expand` to point to
 `torch.Tensor.expand` (#140045)

`torch.expand` was moved to `torch.Tensor.expand` but some docstrings still refer to `torch.expand`

Pull Request resolved: https://github.com/pytorch/pytorch/pull/140045
Approved by: https://github.com/mikaylagawarecki
---
 torch/_torch_docs.py        | 2 +-
 torch/autograd/gradcheck.py | 4 ++--
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/torch/_torch_docs.py b/torch/_torch_docs.py
index 3105c2f736e45..10b4e4159e099 100644
--- a/torch/_torch_docs.py
+++ b/torch/_torch_docs.py
@@ -13832,7 +13832,7 @@ def merge_dicts(*dicts):
 add_docstr(
     torch.expand_copy,
     r"""
-Performs the same operation as :func:`torch.expand`, but all output tensors
+Performs the same operation as :func:`torch.Tensor.expand`, but all output tensors
 are freshly created instead of aliasing the input.
 """,
 )
diff --git a/torch/autograd/gradcheck.py b/torch/autograd/gradcheck.py
index c7ec4eba0cea3..ede7214645d3a 100644
--- a/torch/autograd/gradcheck.py
+++ b/torch/autograd/gradcheck.py
@@ -1998,7 +1998,7 @@ def gradcheck(
     .. warning::
        If any checked tensor in :attr:`input` has overlapping memory, i.e.,
        different indices pointing to the same memory address (e.g., from
-       :func:`torch.expand`), this check will likely fail because the numerical
+       :func:`torch.Tensor.expand`), this check will likely fail because the numerical
        gradients computed by point perturbation at such indices will change
        values at all other indices that share the same memory address.
 
@@ -2152,7 +2152,7 @@ def gradgradcheck(
     .. warning::
        If any checked tensor in :attr:`input` and :attr:`grad_outputs` has
        overlapping memory, i.e., different indices pointing to the same memory
-       address (e.g., from :func:`torch.expand`), this check will likely fail
+       address (e.g., from :func:`torch.Tensor.expand`), this check will likely fail
        because the numerical gradients computed by point perturbation at such
        indices will change values at all other indices that share the same
        memory address.