## VariadicSplit {#openvino_docs_ops_movement_VariadicSplit_1}
**Versioned name**: *VariadicSplit-1*
**Category**: *Data movement operations*
**Short description**: *VariadicSplit* operation splits an input tensor into pieces along some axis. The pieces may have variadic lengths depending on *"split_lengths*" attribute.
**Attributes**
No attributes available.
**Inputs**
* **1**: `data` - A tensor of type T1. **Required.**
* **2**: `axis` - An axis along `data` to split. A scalar of type T2 with value from range `-rank(data) .. rank(data)-1`. Negative values address dimensions from the end.
**Required.**
* **3**: `split_lengths` - A list containing the sizes of each output tensor along the split `axis`. Size of `split_lengths` should be equal to the number of outputs. The sum of sizes must match `data.shape[axis]`. A 1-D Tensor of type T2. `split_lenghts` can contain a single `-1` element, that means all remaining items along specified `axis` that are not consumed by other parts. **Required.**
**Outputs**
* **Multiple outputs**: Tensors of the same type as the `data` tensor. The shape of the i-th output has the same shape as the `data` except along dimension `axis` where the size is `split_lengths[i]` if `split_lengths[i] != -1`. `-1` item, if exists, is processed as described in the `split_lengths` input description.
**Detailed Description**
*VariadicSplit* operation splits the `data` input tensor into pieces along `axis`. The i-th shape of output tensor will be equal to the `data` shape except along dimension `axis` where the size will be `split_lengths[i]`. The sum of elements of split_lengths must match `data.shape[axis]`.
Shape of output tensor will be:
\f[
shape_output_tensor = shape_input_tensor[shape_input_tensor[0], shape_input_tensor[1], ..., split_lengths[axis], ..., shape_input_tensor[D-1]], where D rank of input tensor.
\f]
**Types**
* *T1*: arbitrary supported type.
* *T2*: any integer type.
**Examples**
```xml
61210243
```
```xml
61210242
```