diff --git a/tensordict/__init__.py b/tensordict/__init__.py
index 208e26707..8a22ed846 100644
--- a/tensordict/__init__.py
+++ b/tensordict/__init__.py
@@ -20,6 +20,7 @@
     TensorDict,
     TensorDictBase,
 )
+from tensordict.memmap_refact import MemoryMappedTensor
 from tensordict.utils import is_tensorclass
 
 try:
diff --git a/test/test_tensorclass.py b/test/test_tensorclass.py
index 552344c6c..480d19e73 100644
--- a/test/test_tensorclass.py
+++ b/test/test_tensorclass.py
@@ -31,9 +31,8 @@
 from tensordict import (
     is_tensorclass,
     LazyStackedTensorDict,
-    MemmapTensor,
     tensorclass,
-    TensorDict,
+    TensorDict,MemoryMappedTensor,
 )
 from tensordict.tensordict import (
     _PermutedTensorDict,
@@ -379,16 +378,16 @@ def test_setitem_memmap():
     @tensorclass
     class MyDataMemMap1:
         x: torch.Tensor
-        y: MemmapTensor
+        y: MemoryMappedTensor
 
     data1 = MyDataMemMap1(
         x=torch.zeros(3, 4, 5),
-        y=MemmapTensor.from_tensor(torch.zeros(3, 4, 5)),
+        y=MemoryMappedTensor.from_tensor(torch.zeros(3, 4, 5)),
         batch_size=[3, 4],
     )
 
     data2 = MyDataMemMap1(
-        x=MemmapTensor.from_tensor(torch.ones(3, 4, 5)),
+        x=MemoryMappedTensor.from_tensor(torch.ones(3, 4, 5)),
         y=torch.ones(3, 4, 5),
         batch_size=[3, 4],
     )
@@ -407,22 +406,22 @@ def test_setitem_other_cls():
     @tensorclass
     class MyData1:
         x: torch.Tensor
-        y: MemmapTensor
+        y: MemoryMappedTensor
 
     data1 = MyData1(
         x=torch.zeros(3, 4, 5),
-        y=MemmapTensor.from_tensor(torch.zeros(3, 4, 5)),
+        y=MemoryMappedTensor.from_tensor(torch.zeros(3, 4, 5)),
         batch_size=[3, 4],
     )
 
     # Set Item should work for other tensorclass
     @tensorclass
     class MyData2:
-        x: MemmapTensor
+        x: MemoryMappedTensor
         y: torch.Tensor
 
     data_other_cls = MyData2(
-        x=MemmapTensor.from_tensor(torch.ones(3, 4, 5)),
+        x=MemoryMappedTensor.from_tensor(torch.ones(3, 4, 5)),
         y=torch.ones(3, 4, 5),
         batch_size=[3, 4],
     )
@@ -432,11 +431,11 @@ class MyData2:
     # Set Item should raise if other tensorclass with different members
     @tensorclass
     class MyData3:
-        x: MemmapTensor
+        x: MemoryMappedTensor
         z: torch.Tensor
 
     data_wrong_cls = MyData3(
-        x=MemmapTensor.from_tensor(torch.ones(3, 4, 5)),
+        x=MemoryMappedTensor.from_tensor(torch.ones(3, 4, 5)),
         z=torch.ones(3, 4, 5),
         batch_size=[3, 4],
     )
@@ -476,7 +475,7 @@ class MyDataNested:
     elif broadcast_type == "tensordict":
         val = TensorDict({"X": torch.zeros(2, 4, 5)}, batch_size=[2, 4])
     elif broadcast_type == "maptensor":
-        val = MemmapTensor.from_tensor(torch.zeros(4, 5))
+        val = MemoryMappedTensor.from_tensor(torch.zeros(4, 5))
 
     data[:2] = val
     assert (data[:2] == 0).all()
@@ -1349,7 +1348,7 @@ class MyClass:
         batch_size=[],
     )
     tc.memmap_()
-    assert isinstance(tc.y.x, MemmapTensor)
+    assert isinstance(tc.y.x, MemoryMappedTensor)
     assert tc.z == z
 
     app_state = {
@@ -1364,7 +1363,7 @@ class MyClass:
         batch_size=[],
     )
     tc_dest.memmap_()
-    assert isinstance(tc_dest.y.x, MemmapTensor)
+    assert isinstance(tc_dest.y.x, MemoryMappedTensor)
     app_state = {
         "state": torchsnapshot.StateDict(tensordict=tc_dest.state_dict(keep_vars=True))
     }
@@ -1372,7 +1371,7 @@ class MyClass:
 
     assert (tc_dest == tc).all()
     assert tc_dest.y.batch_size == tc.y.batch_size
-    assert isinstance(tc_dest.y.x, MemmapTensor)
+    assert isinstance(tc_dest.y.x, MemoryMappedTensor)
     # torchsnapshot does not support updating strings and such
     assert tc_dest.z != z
 
@@ -1386,7 +1385,7 @@ class MyClass:
     tc_dest.load_state_dict(tc.state_dict())
     assert (tc_dest == tc).all()
     assert tc_dest.y.batch_size == tc.y.batch_size
-    assert isinstance(tc_dest.y.x, MemmapTensor)
+    assert isinstance(tc_dest.y.x, MemoryMappedTensor)
     # load_state_dict outperforms snapshot in this case
     assert tc_dest.z == z
 
@@ -1610,8 +1609,8 @@ class MyClass:
 
     cmemmap = c.memmap_()
     assert cmemmap is c
-    assert isinstance(c.x, MemmapTensor)
-    assert isinstance(c.y.x, MemmapTensor)
+    assert isinstance(c.x, MemoryMappedTensor)
+    assert isinstance(c.y.x, MemoryMappedTensor)
     assert c.z == "foo"
 
 
@@ -1633,8 +1632,8 @@ class MyClass:
     assert cmemmap is not c
     assert cmemmap.y is not c.y
     assert (cmemmap == 0).all()
-    assert isinstance(cmemmap.x, MemmapTensor)
-    assert isinstance(cmemmap.y.x, MemmapTensor)
+    assert isinstance(cmemmap.x, MemoryMappedTensor)
+    assert isinstance(cmemmap.y.x, MemoryMappedTensor)
     assert cmemmap.z == "foo"