diff --git a/torch/distributed/_tensor/placement_types.py b/torch/distributed/_tensor/placement_types.py
index 99255ccf785d2..8352b4cd0d42b 100644
--- a/torch/distributed/_tensor/placement_types.py
+++ b/torch/distributed/_tensor/placement_types.py
@@ -378,11 +378,20 @@ class DTensorSpec:
 
     def __hash__(self) -> int:
         # hashing and equality check for DTensorSpec are used to cache the sharding
-        # propagation results. We only need to consider the mesh, placements and shape
+        # propagation results. We only need to consider the mesh, placements, shape
+        # dtype and stride.
         # Caveat: we need to keep this in mind and sync hash and eq if we add more
-        # fields to them,
+        # fields to them.
         if self.tensor_meta is not None:
-            return hash((self.mesh, self.placements, self.tensor_meta.shape))
+            return hash(
+                (
+                    self.mesh,
+                    self.placements,
+                    self.tensor_meta.shape,
+                    self.tensor_meta.dtype,
+                    self.tensor_meta.stride,
+                )
+            )
         else:
             return hash((self.mesh, self.placements))