Round#

Round - 11#

Version

  • name: Round (GitHub)

  • domain: main

  • since_version: 11

  • function:

  • support_level: SupportType.COMMON

  • shape inference: True

This version of the operator has been available since version 11.

Summary

Inputs

  • X (heterogeneous) - T:

Outputs

  • Y (heterogeneous) - T:

Type Constraints

  • T in ( tensor(double), tensor(float), tensor(float16) ): Constrain input and output types to float tensors.

Examples

default

import numpy as np
import onnx

node = onnx.helper.make_node(
    "Round",
    inputs=["x"],
    outputs=["y"],
)

x = np.array(
    [
        0.1,
        0.5,
        0.9,
        1.2,
        1.5,
        1.8,
        2.3,
        2.5,
        2.7,
        -1.1,
        -1.5,
        -1.9,
        -2.2,
        -2.5,
        -2.8,
    ]
).astype(np.float32)
y = np.array(
    [
        0.0,
        0.0,
        1.0,
        1.0,
        2.0,
        2.0,
        2.0,
        2.0,
        3.0,
        -1.0,
        -2.0,
        -2.0,
        -2.0,
        -2.0,
        -3.0,
    ]
).astype(
    np.float32
)  # expected output
expect(node, inputs=[x], outputs=[y], name="test_round")