diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index f4159d1d6..84e34f7d0 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -27,7 +27,7 @@ repos:
         additional_dependencies:
           - flake8-bugbear==22.10.27
           - flake8-comprehensions==3.10.1
-
+          - torchfix==0.0.2
 
   - repo: https://github.com/PyCQA/pydocstyle
     rev: 6.1.1
diff --git a/tensordict/memmap.py b/tensordict/memmap.py
index 1ec43595b..3b33c45ed 100644
--- a/tensordict/memmap.py
+++ b/tensordict/memmap.py
@@ -177,6 +177,7 @@ def filename(self):
 
     @classmethod
     def empty_like(cls, input, *, filename=None):
+        # noqa: D417
         """Creates a tensor with no content but the same shape and dtype as the input tensor.
 
         Args:
@@ -193,6 +194,7 @@ def empty_like(cls, input, *, filename=None):
 
     @classmethod
     def full_like(cls, input, fill_value, *, filename=None):
+        # noqa: D417
         """Creates a tensor with a single content indicated by the `fill_value` argument, but the same shape and dtype as the input tensor.
 
         Args:
@@ -212,6 +214,7 @@ def full_like(cls, input, fill_value, *, filename=None):
 
     @classmethod
     def zeros_like(cls, input, *, filename=None):
+        # noqa: D417
         """Creates a tensor with a 0-filled content, but the same shape and dtype as the input tensor.
 
         Args:
@@ -228,6 +231,7 @@ def zeros_like(cls, input, *, filename=None):
 
     @classmethod
     def ones_like(cls, input, *, filename=None):
+        # noqa: D417
         """Creates a tensor with a 1-filled content, but the same shape and dtype as the input tensor.
 
         Args:
@@ -244,6 +248,7 @@ def ones_like(cls, input, *, filename=None):
 
     @classmethod
     def ones(cls, *shape, dtype=None, device=None, filename=None):
+        # noqa: D417
         """Creates a tensor with a 1-filled content, specific shape, dtype and filename.
 
         Args:
@@ -274,6 +279,7 @@ def ones(cls, *shape, dtype=None, device=None, filename=None):
 
     @classmethod
     def zeros(cls, *shape, dtype=None, device=None, filename=None):
+        # noqa: D417
         """Creates a tensor with a 0-filled content, specific shape, dtype and filename.
 
         Args:
@@ -305,6 +311,7 @@ def zeros(cls, *shape, dtype=None, device=None, filename=None):
 
     @classmethod
     def empty(cls, *shape, dtype=None, device=None, filename=None):
+        # noqa: D417
         """Creates a tensor with empty content, specific shape, dtype and filename.
 
         Args:
@@ -333,6 +340,7 @@ def empty(cls, *shape, dtype=None, device=None, filename=None):
 
     @classmethod
     def full(cls, *shape, fill_value, dtype=None, device=None, filename=None):
+        # noqa: D417
         """Creates a tensor with a single content specified by `fill_value`, specific shape, dtype and filename.
 
         Args:
@@ -361,6 +369,7 @@ def full(cls, *shape, fill_value, dtype=None, device=None, filename=None):
 
     @classmethod
     def from_filename(cls, filename, dtype, shape, index=None):
+        # noqa: D417
         """Loads a MemoryMappedTensor from a given filename.
 
         Args:
@@ -386,6 +395,7 @@ def from_filename(cls, filename, dtype, shape, index=None):
 
     @classmethod
     def from_handler(cls, handler, dtype, shape, index):
+        # noqa: D417
         """Loads a MemoryMappedTensor from a given handler.
 
         Args:
@@ -408,6 +418,11 @@ def from_handler(cls, handler, dtype, shape, index):
         out.parent_shape = shape
         return out
 
+    @property
+    def _tensor(self):
+        # for bc-compatibility with MemmapTensor, to be deprecated in v0.4
+        return self
+
     def __setstate__(self, state):
         if "filename" in state:
             self.__dict__ = type(self).from_filename(**state).__dict__
diff --git a/tensordict/memmap_deprec.py b/tensordict/memmap_deprec.py
index 23bbd1f2b..f44d4037f 100644
--- a/tensordict/memmap_deprec.py
+++ b/tensordict/memmap_deprec.py
@@ -5,7 +5,8 @@
 
 """This is a deprecated class and will be removed in v0.4.
 
-Consider using tensordict.MemoryMappedTensor instead."""
+Consider using tensordict.MemoryMappedTensor instead.
+"""
 
 from __future__ import annotations