@@ -173,6 +173,7 @@ are transformed into offsets of elements/words as follows:
## Slicing of LoD Tensors
When we use the above 2-level LoD Tensor as the input to a nested-RNN, we need to retrieve certain sequences. Here we define the sequence identified by branch <i,j,...> as the **<i,j,...>-slice**.
For example, the <2>-slice of above example is
...
...
@@ -189,3 +190,22 @@ and the <2,0>-slice of above slice is
10 12
||
```
## Length Representation vs Offset Representation
The offset representation is an implementation-oriented decision and it makes understanding the idea behind LoDTensor difficult.
Hence, we encapsulate this implementation detail in C++ and expose the original length representation in our Python API.
Specifically, we call this length representation `recursive_sequence_lengths` and users can use the following code to set or get the `recursive_sequence_lengths` of a LoDTensor in Python:
```Python
# length representation of lod called recursive_sequence_lengths