IsNaN#
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.
Examples
default
import numpy as np
import onnx
node = onnx.helper.make_node(
"IsNaN",
inputs=["x"],
outputs=["y"],
)
x = np.array([3.0, np.nan, 4.0, np.nan], dtype=np.float32)
y = np.isnan(x)
expect(node, inputs=[x], outputs=[y], name="test_isnan")
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.