ai.onnx.BitwiseNot

ai.onnx · standard ONNX operator · ONNX opset ≥ 18

Description

Applies a bitwise NOT to each element of the input tensor, flipping every bit. The output has the same shape and integer dtype as the input.

See the ONNX BitwiseNot spec for the reference semantics.

Inputs

Name Upstream name Logical dtype Rank Shape Description Presence
x X T Input integer tensor. required

Outputs

Name Upstream name Logical dtype Rank Shape Description Presence
y Y T same as x same as x Output tensor with each element bitwise-negated; same shape and dtype as X. required

Type constraints

Variable Allowed dtypes
T uint32, int32, int16, uint8, int8

Files

Use with @huggingface/kernels

npm install --save-exact @huggingface/kernels@0.0.1-preview.2

Required output shapes and logical data types are inferred from the supplied inputs and attributes; result tensors are allocated automatically.

The version: 1 option selects the published kernel contract; it is independent of any operator opset, contrib since_version, or model version. It follows the v1 branch as fixes land. To pin exact artifact bytes, pass a 40-character commit revision instead of version.

Replace each *Data placeholder with a typed array containing the corresponding input data.

import { getKernel } from "@huggingface/kernels";

const kernel = await getKernel("webgpu-kernels/ai.onnx.BitwiseNot", { version: 1 });
const { y } = await kernel({ x: { data: xData, shape: [3] } });
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Requires WebGPU support. See the compatibility table.