ai.onnx.Log

ai.onnx · standard ONNX operator · ONNX opset ≥ 13

Description

Computes the natural logarithm of each element of the input tensor, producing an output of the same shape.

See the ONNX Log spec for the reference semantics.

Inputs

Name Bind key Logical dtype Rank Shape Description Presence
input x T Values whose natural logarithms are computed elementwise. required

Outputs

Name Bind key Logical dtype Rank Shape Description Presence
output y T same as input same as input The natural log of the input tensor, computed elementwise. required

Type constraints

Variable Allowed dtypes
T float32, float16

Files

Use with @huggingface/kernels

The loader derives every required output's shape and logical dtype from the manifest contract and this call. It then allocates the result tensors automatically.

The version: 1 option selects the published kernel contract; it is independent of any operator opset, contrib since_version, or model 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.Log", { version: 1 });
const { y } = await kernel({ x: { data: xData, shape: [] } });
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WebGPU

Requires WebGPU support. See the compatibility table.