.. _l-onnx-doc-SequenceConstruct: ================= SequenceConstruct ================= .. contents:: :local: .. _l-onnx-op-sequenceconstruct-11: SequenceConstruct - 11 ====================== **Version** * **name**: `SequenceConstruct (GitHub) `_ * **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. **Examples**