IsNaN#

  • Domain: ai.onnx

  • Since version: 20

Returns which elements of the input are NaN.

Inputs

  • X (T1): input

Outputs

  • Y (T2): output

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_isnan

Node:
  IsNaN(x) -> (y)

Inputs:
  x: shape=(3,), dtype=float32
    [ 1., nan,  2.]

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

test_cc_isnan_bfloat16

Node:
  IsNaN(x) -> (y)

Inputs:
  x: shape=(6,), dtype=bfloat16
    [-1.20312, nan, inf, 2.79688, -inf, inf]

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

test_cc_isnan_double

Node:
  IsNaN(x) -> (y)

Inputs:
  x: shape=(6,), dtype=float64
    [-1.2,  nan,  inf,  2.8, -inf,  nan]

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

test_isnan

Node:
  IsNaN(x) -> (y)

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

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

test_isnan_float16

Node:
  IsNaN(x) -> (y)

Inputs:
  x: shape=(6,), dtype=float16
    [-1.2,  nan,  inf,  2.8, -inf,  inf]

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

Differences with previous version (13)#

SchemaDiff: IsNaN (domain 'ai.onnx')

  • old version: 13

  • new version: 20

  • breaking: no

Type constraints:

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

Version History#