IsInf#

  • Domain: ai.onnx

  • Since version: 20

Map infinity to true and other values to false.

Inputs

  • X (T1): input

Outputs

  • Y (T2): output

Attributes

  • detect_negative (int): (Optional) Whether map negative infinity to true. Default to 1 so that negative infinity induces true. Set this attribute to 0 if negative infinity should be mapped to false.

  • detect_positive (int): (Optional) Whether map positive infinity to true. Default to 1 so that positive infinity induces true. Set this attribute to 0 if positive infinity should be mapped to false.

Type Constraints

  • T1: Constrain input types to float tensors. Allowed types: tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz).

  • T2: Constrain output types to boolean tensors. Allowed types: tensor(bool).

Examples#

test_cc_isinf

Node:
  IsInf(x) -> (y)

Inputs:
  x: shape=(3,), dtype=float32
    [  1.,  inf, -inf]

Outputs:
  y: shape=(3,), dtype=bool
    [False,  True,  True]

test_isinf

Node:
  IsInf(x) -> (y)

Inputs:
  x: shape=(6,), dtype=float32
    [-1.2,  nan,  inf,  2.8, -inf,  inf]

Outputs:
  y: shape=(6,), dtype=bool
    [False, False,  True, False,  True,  True]

test_isinf_float16

Node:
  IsInf(x) -> (y)

Inputs:
  x: shape=(6,), dtype=float16
    [-inf,  -1.,   0.,   1.,  inf,  nan]

Outputs:
  y: shape=(6,), dtype=bool
    [ True, False, False, False,  True, False]

test_isinf_negative

Node:
  IsInf(x) -> (y)
  Attributes:
    detect_positive = 0

Inputs:
  x: shape=(6,), dtype=float32
    [-1.7,  nan,  inf, -3.6, -inf,  inf]

Outputs:
  y: shape=(6,), dtype=bool
    [False, False, False, False,  True, False]

test_isinf_positive

Node:
  IsInf(x) -> (y)
  Attributes:
    detect_negative = 0

Inputs:
  x: shape=(6,), dtype=float32
    [-1.7,  nan,  inf,  3.6, -inf,  inf]

Outputs:
  y: shape=(6,), dtype=bool
    [False, False,  True, False, False,  True]

Differences with previous version (10)#

SchemaDiff: IsInf (domain 'ai.onnx')

  • old version: 10

  • new version: 20

  • breaking: no

Type constraints:

  • changed ‘T1’: added types: [‘tensor(bfloat16)’, ‘tensor(float16)’, ‘tensor(float8e4m3fn)’, ‘tensor(float8e4m3fnuz)’, ‘tensor(float8e5m2)’, ‘tensor(float8e5m2fnuz)’]

Version History#