(l-onnx-doc-SequenceEmpty)=

# SequenceEmpty


(l-onnx-op-sequenceempty-11)=

## SequenceEmpty - 11

### Version

- **name**: [SequenceEmpty (GitHub)](https://github.com/onnx/onnx/blob/main/docs/Operators.md#SequenceEmpty)
- **domain**: `main`
- **since_version**: `11`
- **function**: `False`
- **support_level**: `SupportType.COMMON`
- **shape inference**: `True`

This version of the operator has been available
**since version 11**.

### Summary

Construct an empty tensor sequence, with given data type.

### Attributes

* **dtype - INT** :

  (Optional) The data type of the tensors in the output sequence. The default type is 'float'.

### Outputs

- **output** (heterogeneous) - **S**:

  Empty sequence.

### Type Constraints

* **S** in ( `seq(tensor(bool))`, `seq(tensor(complex128))`, `seq(tensor(complex64))`, `seq(tensor(double))`, `seq(tensor(float))`, `seq(tensor(float16))`, `seq(tensor(int16))`, `seq(tensor(int32))`, `seq(tensor(int64))`, `seq(tensor(int8))`, `seq(tensor(string))`, `seq(tensor(uint16))`, `seq(tensor(uint32))`, `seq(tensor(uint64))`, `seq(tensor(uint8))` ):

  Constrain output types to any tensor type.