SequenceErase#

SequenceErase - 11#

Version

  • name: SequenceErase (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 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

Between 1 and 2 inputs.

  • input_sequence (heterogeneous) - S: Input sequence.

  • position (optional, 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

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

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.

  • I in ( tensor(int32), tensor(int64) ): Constrain position to integral tensor. It must be a scalar(tensor of empty shape).

Examples