diff --git a/contrib/torch_utils.py b/contrib/torch_utils.py
index 790c295e48..e371932c9f 100644
--- a/contrib/torch_utils.py
+++ b/contrib/torch_utils.py
@@ -33,7 +33,7 @@ def swig_ptr_from_UInt8Tensor(x):
     assert x.is_contiguous()
     assert x.dtype == torch.uint8
     return faiss.cast_integer_to_uint8_ptr(
-        x.storage().data_ptr() + x.storage_offset())
+        x.untyped_storage().data_ptr() + x.storage_offset())
 
 def swig_ptr_from_HalfTensor(x):
     """ gets a Faiss SWIG pointer from a pytorch tensor (on CPU or GPU) """
@@ -41,28 +41,28 @@ def swig_ptr_from_HalfTensor(x):
     assert x.dtype == torch.float16
     # no canonical half type in C/C++
     return faiss.cast_integer_to_void_ptr(
-        x.storage().data_ptr() + x.storage_offset() * 2)
+        x.untyped_storage().data_ptr() + x.storage_offset() * 2)
 
 def swig_ptr_from_FloatTensor(x):
     """ gets a Faiss SWIG pointer from a pytorch tensor (on CPU or GPU) """
     assert x.is_contiguous()
     assert x.dtype == torch.float32
     return faiss.cast_integer_to_float_ptr(
-        x.storage().data_ptr() + x.storage_offset() * 4)
+        x.untyped_storage().data_ptr() + x.storage_offset() * 4)
 
 def swig_ptr_from_IntTensor(x):
     """ gets a Faiss SWIG pointer from a pytorch tensor (on CPU or GPU) """
     assert x.is_contiguous()
     assert x.dtype == torch.int32, 'dtype=%s' % x.dtype
     return faiss.cast_integer_to_int_ptr(
-        x.storage().data_ptr() + x.storage_offset() * 4)
+        x.untyped_storage().data_ptr() + x.storage_offset() * 4)
 
 def swig_ptr_from_IndicesTensor(x):
     """ gets a Faiss SWIG pointer from a pytorch tensor (on CPU or GPU) """
     assert x.is_contiguous()
     assert x.dtype == torch.int64, 'dtype=%s' % x.dtype
     return faiss.cast_integer_to_idx_t_ptr(
-        x.storage().data_ptr() + x.storage_offset() * 8)
+        x.untyped_storage().data_ptr() + x.storage_offset() * 8)
 
 @contextlib.contextmanager
 def using_stream(res, pytorch_stream=None):