(l-onnx-doc-SequenceConstruct)=

# SequenceConstruct


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

## SequenceConstruct - 11

### Version

- **name**: [SequenceConstruct (GitHub)](https://github.com/onnx/onnx/blob/main/docs/Operators.md#SequenceConstruct)
- **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 a tensor sequence containing 'inputs' tensors.
All tensors in 'inputs' must have the same data type.

### Inputs

Between 1 and 2147483647 inputs.

- **inputs** (variadic, heterogeneous) - **T**:

  Tensors.

### Outputs

- **output_sequence** (heterogeneous) - **S**:

  Sequence enclosing the input tensors.

### Type Constraints

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

  Constrain input types to any tensor type.
* **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.