Documentation Fix: torch.empty_like memory preservation (pytorch#158050)

updated docs for torch.empty_like to reflect view and dense memory behavior

Fixes pytorch#158022

Pull Request resolved: pytorch#158050
Approved by: https://github.com/ngimel, https://github.com/cyyever

Author: morrison-turnansky

torch/_torch_docs.py

@@ -12138,6 +12138,12 @@ def merge_dicts(*dicts):
     Floating point and complex tensors are filled with NaN, and integer tensors
     are filled with the maximum value.
 
+    When ``torch.preserve_format`` is used:
+    If the input tensor is dense (i.e., non-overlapping strided),
+    its memory format (including strides) is retained.
+    Otherwise (e.g., a non-dense view like a stepped slice),
+    the output is converted to the dense format.
+
 Args:
     {input}