.. _l-onnx-doc-SequenceAt: ========== SequenceAt ========== .. contents:: :local: .. _l-onnx-op-sequenceat-11: SequenceAt - 11 =============== **Version** * **name**: `SequenceAt (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** Outputs a tensor copy from the tensor at 'position' in 'input_sequence'. Accepted range for 'position' is in `[-n, n - 1]`, where `n` is the number of tensors in 'input_sequence'. Negative value means counting positions from the back. **Inputs** * **input_sequence** (heterogeneous) - **S**: Input sequence. * **position** (heterogeneous) - **I**: Position of the tensor in the sequence. Negative value means counting positions from the back. Accepted range in `[-n, n - 1]`, where `n` is the number of tensors in 'input_sequence'. It is an error if any of the index values are out of bounds. It must be a scalar(tensor of empty shape). **Outputs** * **tensor** (heterogeneous) - **T**: Output tensor at the specified position in the input 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 to any tensor type. * **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 to any tensor type. * **I** in ( tensor(int32), tensor(int64) ): Constrain position to integral tensor. It must be a scalar(tensor of empty shape). **Examples**