Round¶

Round - 22¶

Version¶

name: Round (GitHub)
domain: main
since_version: 22
function: False
support_level: SupportType.COMMON
shape inference: True

This version of the operator has been available since version 22.

Summary¶

Round takes one input Tensor and rounds the values, element-wise, meaning it finds the nearest integer for each value. In case of halves, the rule is to round them to the nearest even integer. If input x is integral, +0, -0, NaN, or infinite, x itself is returned. The output tensor has the same shape and type as the input.

Examples:

round([0.9]) = [1.0]
round([2.5]) = [2.0]
round([2.3]) = [2.0]
round([1.5]) = [2.0]
round([-4.5]) = [-4.0]

Inputs¶

X (heterogeneous) - T:

Input tensor

Outputs¶

Y (heterogeneous) - T:

Output tensor

Type Constraints¶

T in ( tensor(bfloat16), 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)

# expected output
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)
expect(node, inputs=[x], outputs=[y], name="test_round")

Round - 11 vs 22

Round - 11¶