.. _op_ai_onnx_SequenceErase:

SequenceErase
=============

- **Domain**: ``ai.onnx``
- **Since version**: 11

Outputs a tensor sequence that removes the tensor at 'position' from '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.
'position' is optional, by default it erases the last tensor from 'input_sequence'.

**Inputs**

- **input_sequence** (*S*): Input sequence.
- **position** (*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**

- **output_sequence** (*S*): Output sequence that has the tensor at the specified position removed.

**Type Constraints**

- **S**: Constrain to any tensor type.
  Allowed types: 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)).
- **I**: Constrain position to integral tensor. It must be a scalar(tensor of empty shape).
  Allowed types: tensor(int32), tensor(int64).