BitwiseNot

BitwiseNot - 18

Version

  • name: BitwiseNot (GitHub)

  • domain: main

  • since_version: 18

  • function: False

  • support_level: SupportType.COMMON

  • shape inference: True

This version of the operator has been available since version 18.

Summary

Returns the bitwise not of the input tensor element-wise.

Inputs

  • X (heterogeneous) - T:

    Input tensor

Outputs

  • Y (heterogeneous) - T:

    Output tensor

Type Constraints

  • T in ( tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) ):

    Constrain input/output to integer tensors.

Examples

default

import numpy as np
import onnx

node = onnx.helper.make_node(
    "BitwiseNot",
    inputs=["x"],
    outputs=["bitwise_not"],
)

# 2d
x = create_random_int((3, 4), np.int32)
y = np.bitwise_not(x)
expect(node, inputs=[x], outputs=[y], name="test_bitwise_not_2d")

# 3d
x = create_random_int((3, 4, 5), np.uint16)
y = np.bitwise_not(x)
expect(node, inputs=[x], outputs=[y], name="test_bitwise_not_3d")

# 4d
x = create_random_int((3, 4, 5, 6), np.uint8)
y = np.bitwise_not(x)
expect(node, inputs=[x], outputs=[y], name="test_bitwise_not_4d")