Not

Not - 1

Version

• name: Not (GitHub)

• domain: main

• since_version: 1

• function:

• support_level: SupportType.COMMON

• shape inference: True

This version of the operator has been available since version 1.

Summary

Inputs

• X (heterogeneous) - T:

Outputs

• Y (heterogeneous) - T:

Type Constraints

• T in ( tensor(bool) ): Constrain input/output to boolean tensors.

Examples

default

import numpy as np
import onnx

node = onnx.helper.make_node(
    "Not",
    inputs=["x"],
    outputs=["not"],
)

# 2d
x = (np.random.randn(3, 4) > 0).astype(bool)
expect(node, inputs=[x], outputs=[np.logical_not(x)], name="test_not_2d")

# 3d
x = (np.random.randn(3, 4, 5) > 0).astype(bool)
expect(node, inputs=[x], outputs=[np.logical_not(x)], name="test_not_3d")

# 4d
x = (np.random.randn(3, 4, 5, 6) > 0).astype(bool)
expect(node, inputs=[x], outputs=[np.logical_not(x)], name="test_not_4d")