IsNaN

IsNaN - 20

Version

• name: IsNaN (GitHub)

• domain: main

• since_version: 20

• function: False

• support_level: SupportType.COMMON

• shape inference: True

This version of the operator has been available since version 20.

Summary

Returns which elements of the input are NaN.

Inputs

• X (heterogeneous) - T1:

  input

Outputs

• Y (heterogeneous) - T2:

  output

Type Constraints

• T1 in ( tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz) ):

  Constrain input types to float tensors.

• T2 in ( tensor(bool) ):

  Constrain output types to boolean tensors.

• IsNaN - 13 vs 20

IsNaN - 13

Version

• name: IsNaN (GitHub)

• domain: main

• since_version: 13

• function: False

• support_level: SupportType.COMMON

• shape inference: True

This version of the operator has been available since version 13.

Summary

Returns which elements of the input are NaN.

Inputs

• X (heterogeneous) - T1:

  input

Outputs

• Y (heterogeneous) - T2:

  output

Type Constraints

• T1 in ( tensor(bfloat16), tensor(double), tensor(float), tensor(float16) ):

  Constrain input types to float tensors.

• T2 in ( tensor(bool) ):

  Constrain output types to boolean tensors.

• IsNaN - 9 vs 20
• IsNaN - 9 vs 13

IsNaN - 9

Version

• name: IsNaN (GitHub)

• domain: main

• since_version: 9

• function: False

• support_level: SupportType.COMMON

• shape inference: True

This version of the operator has been available since version 9.

Summary

Returns which elements of the input are NaN.

Inputs

• X (heterogeneous) - T1:

  input

Outputs

• Y (heterogeneous) - T2:

  output

Type Constraints

• T1 in ( tensor(double), tensor(float), tensor(float16) ):

  Constrain input types to float tensors.

• T2 in ( tensor(bool) ):

  Constrain output types to boolean tensors.