diff --git a/.github/workflows/_win-test.yml b/.github/workflows/_win-test.yml
index ebc8434407a..99d037f0355 100644
--- a/.github/workflows/_win-test.yml
+++ b/.github/workflows/_win-test.yml
@@ -92,7 +92,7 @@ jobs:
           retry_wait_seconds: 30
           command: |
             set -eu
-            python3 -m pip install rockset==1.0.3
+            python3 -m pip install rockset==1.0.3 'xdoctest>=1.1.0'
 
       - name: Start monitoring script
         id: monitor-script
diff --git a/torch/compiler/__init__.py b/torch/compiler/__init__.py
index cd3d032ea1c..cf0b544e929 100644
--- a/torch/compiler/__init__.py
+++ b/torch/compiler/__init__.py
@@ -166,9 +166,9 @@ def is_compiling() -> bool:
 
         >>> def forward(self, x):
         >>>     if not torch.compiler.is_compiling():
-        >>>        ...logic that is not needed in a compiled/traced graph...
+        >>>        pass # ...logic that is not needed in a compiled/traced graph...
         >>>
-        >>>     ...rest of the function...
+        >>>     # ...rest of the function...
     """
     if torch.jit.is_scripting():
         return False
@@ -186,8 +186,8 @@ def is_dynamo_compiling() -> bool:
 
         >>> def forward(self, x):
         >>>     if not torch.compiler.is_dynamo_compiling():
-        >>>        ...logic that is not needed in a TorchDynamo-traced graph...
+        >>>        pass # ...logic that is not needed in a TorchDynamo-traced graph...
         >>>
-        >>>     ...rest of the function...
+        >>>     # ...rest of the function...
     """
     return False
diff --git a/torch/library.py b/torch/library.py
index 0515fa5bc12..2c413a7c9af 100644
--- a/torch/library.py
+++ b/torch/library.py
@@ -849,11 +849,11 @@ def opcheck(
         >>> def _(x, y):
         >>>     return torch.empty_like(x)
         >>>
-        >>> def setup_context(ctx, inputs, output)
+        >>> def setup_context(ctx, inputs, output):
         >>>     y, = inputs
         >>>     ctx.y = y
         >>>
-        >>> def backward(ctx, grad)
+        >>> def backward(ctx, grad):
         >>>     return grad * ctx.y, None
         >>>
         >>> numpy_sin.register_autograd(backward, setup_context=setup_context)
diff --git a/torch/utils/data/_utils/collate.py b/torch/utils/data/_utils/collate.py
index 5262497a90c..4c17597bd6f 100644
--- a/torch/utils/data/_utils/collate.py
+++ b/torch/utils/data/_utils/collate.py
@@ -121,7 +121,7 @@ def collate(batch, *, collate_fn_map: Optional[Dict[Union[Type, Tuple[Type, ...]
 
     Examples:
         >>> def collate_tensor_fn(batch, *, collate_fn_map):
-        >>> # Extend this function to handle batch of tensors
+        ...     # Extend this function to handle batch of tensors
         ...     return torch.stack(batch, 0)
         >>> def custom_collate(batch):
         ...     collate_map = {torch.Tensor: collate_tensor_fn}