parameters: (flat, tensors)
return_statement: return torch._C._nn.unflatten_dense_tensors(flat, tensors)
docstring: View a flat buffer using the sizes of tensors. Assume that tensors are of
      same dense type, and that flat is given by _flatten_dense_tensors.
  
      Args:
          flat (Tensor): flattened dense tensors to unflatten.
          tensors (Iterable[Tensor]): dense tensors whose sizes will be used to
            unflatten flat.
  
      Returns:
          Unflattened dense tensors with sizes same as tensors and values from
          flat.
docstring_summary: View a flat buffer using the sizes of tensors. Assume that tensors are of
      same dense type, and that flat is given by _flatten_dense_tensors.
docstring_tokens: View a flat buffer using the sizes of tensors . Assume that tensors are of same dense type and that flat is given by _flatten_dense_tensors .
function: def _unflatten_dense_tensors(flat, tensors):
      """View a flat buffer using the sizes of tensors. Assume that tensors are of
      same dense type, and that flat is given by _flatten_dense_tensors.
  
      Args:
          flat (Tensor): flattened dense tensors to unflatten.
          tensors (Iterable[Tensor]): dense tensors whose sizes will be used to
            unflatten flat.
  
      Returns:
          Unflattened dense tensors with sizes same as tensors and values from
          flat.
      """
      return torch._C._nn.unflatten_dense_tensors(flat, tensors)
function_tokens: def _unflatten_dense_tensors ( flat , tensors ) : return torch . _C . _nn . unflatten_dense_tensors ( flat , tensors )